Technical Program

The detailed technical program includes the technical sessions, venues, session chairs, and paper lists for the main conference days.
June 10-12, 2026
Day 2-4

Day 2: June 10, 2026 (Wed)

15 sessions

Session 1A

Large Language Model

Date

June 10, 2026

Time

10:20am-12:30pm

Venue

Room 1 (The Riverside Ballroom, 1/F)

Session Chair

Xiaomin Lin (University of South Florida)

Paper IDPaper TitleAuthors
806Adaptive Beam Search with Shannon Entropy for Data-centric Reasoning in LLMsYoonji Kim (Yonsei University), Yujin Jeong (Yonsei university), Jieun Kim (Yonsei University), Sung-Bae Cho (Yonsei University)
550GLLM-KT: A Graph-Incorporated Ultra-Small Large Language Model for Knowledge TracingLianhong Wang (Hunan University), Guiyao Liu (Hunan University), Xiaoyao Li (Central South University of Forestry and Technology), Junyi Li (Hunan University), Xiaogang Zhang (Hunan University), Xiang Yin (Hunan University)
662The Imitation Game: Evaluating Persona-Driven LLM Response Behavior in Web SurveysSaijal Shahania (DZHW), Myra Spiliopoulou (Otto-von-Guericke-University Magdeburg), David Broneske (German Centre for Higher Education Research and Science Studies)
415A Novel Hierarchical Multi-Agent System for Payments Using LLMsJoon Kiat Chua (Singapore Management University), Donghao Huang (SMU), Zhaoxia WANG (SMU)
321GPU Kernel Optimization Beyond Full Builds: An LLM Framework with Minimal Executable ProgramsRuifan Chu (Xi'an Jiaotong University), Anbang Wang (Xi'an Jiaotong University), Xiuxiu Bai (Xi'an Jiaotong University), Shuai Liu (Xi'an Jiaotong University), Xiaoshe Dong (Xi'an Jiaotong University)
534SELAUR: Self Evolving LLM Agent via Uncertainty-aware RewardsDengjia Zhang (Johns Hopkins University), Xiaoou Liu (Arizona State University), Lu Cheng (University of Illinois Chicago), Yaqing Wang (Purdue University (null), Google) (null), Kenton Murray (Johns Hopkins University), Hua Wei (Arizona State University)
398MPRL: Multi-Perspective Reinforcement Learning for Enhancing Format Adherence Capability of Large Language ModelsBo Qian (Beijing Jiaotong University), Yuting Wu (Beijing Jiaotong University), Shuang Zeng (Peking University), Ziming Wang (Beijing Jiaotong University), Qiaochen Wang (TsingHua University)
402Enhancing LLMs for Manufacturing Information ExtractionSubeen Park (Yonsei university), Hakyung Lee (KDB), Ryunyi Lee (Yonsei university), Hyo-won Suh (KAIST), Kyungwoo Song (Yonsei university)
279Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment AnalysisDonghao Huang (SMU), Zhaoxia WANG (SMU)
832Conditional Contrastive Confidence-Based Uncertainty Quantification for LLMsYifan Zhang (University of Texas at Dallas), Yuzhe Ou (University of Texas at Dallas), Kangshuo Li (University of Texas at Dallas), Feng Chen (University of Texas at Dallas)
768Online Domain-aware LLM Decoding for Continual Domain EvolutionMohammad Abu-Shaira (The University of North Texas), Weishi Shi (University of North Texas)
532MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual InformationJiaxi Li (University of Georgia), Yucheng Shi (University of Georgia), Xiao Huang (The Hong Kong Polytechnic University), Jin Lu (University of Georgia), Ninghao Liu (Hong Kong Polytechnic University)
481Whose Politics Do LLMs Represent? Uncovering Political Bias in LLMs' Latent SpaceRosa Rosmery Soto Ruidias (Australian National University), Bernardo Pereira Nunes (Australian National University), Thiago Nascimento da Silva (Australian National University)

Session 1B

Anomaly Detection and Time Series

Date

June 10, 2026

Time

10:20am-12:30pm

Venue

Room 2 (Shatin Room, 1/F)

Session Chair

Jicong FAN (The Chinese University of Hong Kong (Shenzhen))

Paper IDPaper TitleAuthors
343AnomalyFilter: Selective Denoising Diffusion Model for Time Series Anomaly DetectionKohei Obata (The University of Osaka), Zheng Chen (Osaka Univerisity), Yasuko Matsubara (Osaka University), Lingwei Zhu (University of Tokyo), Yasushi Sakurai (Osaka University)
461Foundation Model-energized Anomaly Detection and Outlier Detection: A SurveyFeng Xiao (The Chinese University of Hong Kong, Shenzhen), Jicong Fan (The Chinese University of Hong Kong (Shenzhen))
509FIGDA: Feature Importance Guided Learning Model for Domain-Adaptive Anomaly DetectionJuhyun Seo (Konkuk University), Yegi Lee (ETRI), Kyoungro Yoon (Konkuk University)
579Unsupervised Symbolic Anomaly DetectionMD Maruf Hossain (TU Dortmund University), Tim Katzke (TU Dortmund University), Simon Klüttermann (TU Dortmund), Emmanuel Müller (TU Dortmund University)
804Graph Anomaly Detection Boundary Learning via Local and Global Structure ModelingYaoyang Li (Wuhan University), Qianyu Lin (Xiamen University Malaysia), Chenjun Liu (wuhan university), Mingkang Li (School of Computer Science,Wuhan University), Fu Lin (Wuhan University)
827Are There Any Hidden Agents in Your Recommendations? Anomaly Detection via Structure Purification and Stability VerificationYan Feng (Chang'an University), Zhihai Yang (Chang'an University), Kexin Li (Chang'an University), Yufei Ji (Chang'an University)
529BatterySurAD: A Dataset for Anomaly Detection on Pouch-Type Reflective Battery Surfaces with Spatial Zone AnnotationsJiwon Park (Sungkyunkwan University), Dohwan Kim (KAIST), Bongseok Choi (Techwing), Giljun Lee (Sungkyunkwan University), Hayoung Oh (Sungkyunkwan University)
248SDMC-Mamba: Steel Surface Defect Detection Based on DDIM Enhanced Mamba with Multi-Module CollaborationYujie Li (Guilin University of Electronic Technology), Haozhe Zhang (Guilin University of Electronic Technology), Ziming Wang (Taiyuan University)
125NANSDE-Net: A NEURAL SDE FRAMEWORK FOR GENERATING TIME SERIES WITH MEMORYHiromu Ozai (Hiroshima University), Kei Nakagawa (Osaka Metropolitan University)
377DDCG : Dual-granularity Dual-domain Collaborative Graph Neural Networks for Time Series ForecastingXie Chenggang (Chenggang Xie), Ting Deng (Beihang University), Yiqi Xiao (Beihang University), Ping Lu (Beihang University), Renzhao Liang (Beihang University)
670VCDF: A Validated Consensus-Driven Framework for Time Series Causal DiscoveryGene Yu (Imperial College London), Ce Guo (Imperial College London), Wayne Luk (Imperial College London)
673HPMixer: Hierarchical Patching for Multivariate Time Series ForecastingJung Min Choi (ISMLL, University of Hildesheim), Vijaya Krishna Yalavarthi (University of Hildesheim), Lars Schmidt-Thieme (Universität Hildesheim)
761C2FFormer: Coarse-to-Fine Time Series Imputation via Autoregressive TransformerYan Qiao (Hefei University of Technology), Jiangqi Song (Hefei University of Technology), Jiaxuan Dong (Hefei University of Technology), Anchi Zhang (Hefei University of Technology), Zilong Hu (Hefei University of Technology), Meng Li (Hefei University of Technology)

Session 1C

Recommendation System and Graph Learning

Date

June 10, 2026

Time

10:20am-12:30pm

Venue

Room 3 (Tai Po I/II Room, 2/F)

Session Chair

Maolin WANG (City University of Hong Kong)

Paper IDPaper TitleAuthors
32Recommendation Systems Features: A Comprehensive ReviewAmna Meddeb (ISITCOM), Lotfi Ben Romdhane (ISITCOM)
179SGTRec: Integrating Spectral Encoding with Graph Neural Networks and Transformers for RecommendationSichan OH (Sungkyunkwan University), Byungmoon HEO (Sungkyunkwan University), Namjun LEE (Sungkyunkwan University), Seonah KIM (Sungkyunkwan University), Sejong Yoon (The College of New Jersey), Jaekwang KIM (Sungkyunkwan University)
318LAPTG: Length-Aligned Attentive Prefix-Target Graph for Sequential RecommendationZhiqiang Yang (Nanjing University of Science and Technology), Pengfei Wang (GienTech Technology Co., Ltd.), Yanxin Zhang (University of Wisconsin-Madison), Boying Li (University of Wisconsin-Madison), Danlu Chen (China Tobacco Jiangsu Industrial Co., Ltd.), Xinguang Xiang (Nanjing University of Science and Technology), Xiaoyu Du (Nanjing University of Science and Technology)
444Counteracting Popularity Bias Amplification in Bundle Recommendations with Latent Factor ConstraintsMeng Sun (Wuhan University of Technology), Lin Li (Wuhan University of Technology), Ming Li (Wuhan University of Technology, York University), Dong Zhang (Wuhan University of Technology), Amran Bhuiyan (York University), Xiangji Huang (York University)
815EQCKD: Enhanced Quantization with Contrastive Knowledge Distillation for Lightweight Sequential RecommendationXinrui Li (Zhejiang University), Hongye Yu (Zhejiang University), Zeng Yihui (Zhejiang University), Yingming Li (Zhejiang University)
819Learning Multi-Aspect Item Palette: A Semantic Tokenization Framework for Generative RecommendationQijiong Liu (The Hong Kong Polytechnic University), Jieming Zhu (Huawei Noah's Ark Lab), Zhaocheng Du (Huawei Noah Ark Lab), Lu Fan (The Hong Kong Polytechnic University), Zhou Zhao (Zhejiang University), Xiao-Ming Wu (PolyU Hong Kong)
332On Reasoning Behind Next Occupation RecommendationShan Dong (Singapore Management University), Palakorn Achananuparp (Singapore Management University), Hieu Hien MAI (Singapore Management University), Lei Wang (Singapore Management University), Yao Lu (Columbia University), Ee-Peng Lim (Singapore Management University)
569Distillation-based Scenario-Adaptive Mixture-of-Experts for the Matching Stage of Multi-scenario RecommendationRuibing Wang (School of Mechanical Engineering, Northwestern Polytechnical University), Shuhan Guo (Tsinghua University), Haotong Du (Northwestern Polytechnical University), YAO Quanming (Tsinghua)
591Graph-based Learning for Taxonomy OptimizationRiya Gupta (eBay), Arnab Dutta (eBay Inc)
239ProvGrapher: A Top-K Approximate Tuple-Level Data Provenance Framework via Graph Neural NetworkDehua Chen (School of Computer Science and Technology, Donghua University, Shanghai, China), zhifen yang (Donghua University), Ziteng He (Donghua University)
676Allocation of Shared Resources with Bounded Conflicts over Unit and Laminar Interval GraphsNapendra Solanki (Indian Institute of Technology Ropar), Sushmita Gupta (The Institute of Mathematical Sciences, HBNI, Chennai), Shweta Jain (Indian Institute of Technology Ropar)
180H^2RAG: A Hierarchical Knowledge and Hypergraph Reasoning Framework for Retrieval-Augmented GenerationHaodong Yang (Guangdong University of Finances and Economics), Liangju Huang (Guangdong University of Finance and Economics), Mengzhu Chen (Guangdong University of Finance and Economics), Jia Cai (Guangdong University of Finance and Economics)
791Disentangling Style and Semantics for Calendar-Driven Text Generation: A Knowledge Graph-Guided Activation Steering ApproachTanmay Shrivastava (IIT Bhilai), Aditya Bajpai (IIT Bhilai), Rajesh Mundotiya (IIT Bhilai),

Session 1D

Bio-medical Learning

Date

June 10, 2026

Time

10:20am-12:30pm

Venue

Room 4 (Tai Po III/IV Room, 2/F)

Session Chair

Haiquan Chen (California State Univ, USA)

Paper IDPaper TitleAuthors
326HEIR-Nets: Hierarchical Ensemble with Inheritance-based Refinement Networks for Sperm Target Detection with Noisy LabelsHuiliang Lv (College of Computer Science and Software Engineering, Shenzhen University), Yang Zhao (College of Computer Science and Software Engineering, Shenzhen University), Xuan Yang (College of Computer Science and Software Engineering, Shenzhen University), Jihong Pei (College of Electronics and Information Engineering, Shenzhen University), Jiahui Wu (College of Life Sciences and Oceanography, Shenzhen University)
350Empowering Contactless Sleep Health Monitoring with Multi-task LearningZeyu Long (Institute of Software, Chinese Academy of Science and University of Chinese Academy of Sciences), Beihong Jin (Institute of Software, Chinese Academy of Sciences), Siheng Li (Institute of Software, Chinese Academy of Sciences), Zhi Wang (Institute of Software, Chinese Academy of Sciences and University of Chinese Academy of Sciences), Xiaoyong Reng (The Second Affiliated Hospital of Xi'an Jiaotong University), Haiqin Liu (The Second Affiliated Hospital of Xi'an Jiaotong University)
413TheSelective: Dual Affinity–Guided Diffusion for Selective Molecular GenerationHyoungjoon Park (Yonsei University), Hwanhee Kim (Yonsei University), Seungyeon Choi (Yonsei University), Seungyong Lee (Yonsei University), Yoonju Kim (Yonsei University), Sanghyun Park (Yonsei University)
455EmbryoCST: A Stage-Aware ResNet with Layered CNN-3D Swin Transformer for Embryo Stage ClassificationYang Zhao (College of Computer Science and Software Engineering, Shenzhen University), Xudong Li (College of Computer Science and Software Engineering, Shenzhen University), Zikang Cai (College of Electronics and Information Engineering, Shenzhen University), Jihong Pei (College of Electronics and Information Engineering, Shenzhen University), Xuan Yang (College of Computer Science and Software Engineering, Shenzhen University), Jiahui Wu (College of Life Sciences and Oceanography, Shenzhen University)
631Unlearning Spurious Concepts Enhances the Robustness of Concept-based Explainable Models in Skin Cancer DiagnosisAnh Le (RMIT International University), Andy Song (RMIT University), Karin Verspoor (RMIT University), Arthur Tang (RMIT University Vietnam)
651SAM-3D-MSF: Parameter-Efficient Adaptation of Segment Anything Model for 3D Tooth CBCT SegmentationYifu ZHANG (National University of Defense Technology), Chun SHEN (National University of Defense Technology), Jianbing LI (National University of Defense Technology)
664MultiADC: Advanced Antibody-Drug Conjugate Activity Prediction through Multi-scale Feature FusionMinghui Li (Huazhong university of science and technology), Yang Wu (Huazhong university of science and technology), Zikang Guo (Huazhong university of science and technology), Peijin Guo (Huazhong university of science and technology), Shengshan Hu (Huazhong university of science and technology), Shengqing Hu (Huazhong university of science and technology), Xiaoli Lan (Huazhong university of science and technology)
668CALM-ECG: Toward Accurate and Explainable ECG Analysis through Deep Learning and Vision-Language Model IntegrationSileshi Nibret Zeleke (University of Bari, Department of Computer Science), Mario Bochicchio (University of Bari, Department of Computer Science), Aofei Chang (The Pennsylvania State University), Fenglong Ma (The Pennsylvania State University)
792MetaGD-CAN: A Hybrid Generative–Discriminative Method for Cancer Detection in EHR DataYu-Hsiang Chang (National Cheng Kung University), Wei-Chun Tsai (National Cheng Kung University), Lo Pang-Yun Ting (National Cheng Kung University), Kun-Ta Chuang (National Cheng Kung University)
812Tabular-to-Image Transformation for Transfer Learning on Heterogeneous Health DataSung Ahn (Seattle University), Wan Bae (Seattle University), Shayma Alkobaisi (United Arab Emirates University), Matthew Horak (Amazon AWS), Choon-sik Park (Soonchunhayang Bucheon Hospital), Sungroul Kim (Soonchunhayang University)
641SGF-Net: Fusing SMILES, Graph, and Fingerprints for Molecular Property PredictionTing Liu (Nantong University), Linxing Zhu (Nantong University), Shu Jiang (Nantong University), Wei Zhang (Nantong University), Jiashuang Huang (Nantong University), Weiping Ding (Nantong University)
401SegPPMTS: Unsupervised Segmentation for Pseudo-Periodic Medical Time SeriesJinxi Wang (The University of Melbourne), Ling Luo (The University of Melbourne), Uwe Aickelin (The University of Melbourne)
842Graph-Based Diffusion Enables Interface-Aware Sequence–Structure Co-Design of Protein ComplexesJing He (Fudan University), Weiguo Zheng (Fudan University), Bo Fu (Fudan University)

Session 1E

DSFA: Multi-modality

Date

June 10, 2026

Time

10:20am-12:30pm

Venue

Room 5 (Bauhinia Room, 3/F)

Session Chair

Jiaheng Lu (University of Helsinki, Finland)

Paper IDPaper TitleAuthors
167DynaMo3D: A Dynamic Mixture of SSM Experts Framework for 3D Point Cloud DetectionQiankai Xi (Inner Mongolia University of Science and Technology), Zhixing Wang (Inner Mongolia University of Science and Technology), Jikai Zhang (Inner Mongolia University of Science and Technology)
196EquiFashion: Hybrid GAN–Diffusion Balancing Diversity–Fidelity for Fashion Design GenerationHieu Nguyen (FPT University), Khuong Tran (FPT), Phan Duy Hung (FPT University & Quantum AI & Cyber Security Institute, FPT Corporation, Hanoi, Vietnam)
508MED-YOLO: A Medical Small Target Sperm Detection Framework Based on Cross-Scale Spatial Dynamic AttentionZhenting Yang (College of Electronics and Information Engineering, Shenzhen University), Yang Zhao (College of Computer Science and Software Engineering, Shenzhen University), Jihong Pei (College of Electronics and Information Engineering, Shenzhen University), Xin Wang (China United Network Communications Group Corporation Limited), Xuan Yang (College of Computer Science and Software Engineering, Shenzhen University), Jiahui Wu (College of Life Sciences and Oceanography, Shenzhen University)
598CadST : Correlation-aware Alignment and Disentanglement in Multi-modal Spatio-Temporal Traffic PredictionLimei Liu (Monash University), Ben Duan (Monash university), Zhenliang Ma (KTH Royal Institute of Technology), Leizhen Wang (Monash University), Yibo Wang (Monash University), Jia Rong (Monash University)
608RGS: Relation-Guided Graph State Network for Multimodal Emotion Recognition in ConversationsJuntao Wang (Kyushu University), Tsunenori Mine (Kyushu University)
630Reducing Disparity in Aleatoric Uncertainty for Age Estimation from Facial ImagesRuhani Faiheem Rahman (UNC Charlotte), Zhe Fu (University of North Carolina at Charlotte), Depeng Xu (University of North Carolina at Charlotte), Xi (Sunshine) Niu (UNC Charlotte)
678Human Pose Estimation in Videos Using the Concept of A PID ControllerKim Yeeun (Sungkyunkwan University), LEE JONGMIN (Sungkyunkwan University), Jangwon Lee (SungKyunKwan University)
666Comparative Analysis of Formula and Structure Prediction from Tandem Mass SpectraXujun Che (University of North Carolina at Charlotte), Depeng Xu (University of North Carolina at Charlotte), Xiuxia Du (University of North Carolina at Charlotte)
688Surgical Tool Maneuvering via a Vision-Guided Improved Levenberg--Marquardt IK Model in Visually Unstructured EnvironmentsRamkumar Muthukrishnan (Robert Gordon University), Somasundar Kannan (Robert Gordon University), M S MEKALA (Robert Gordon University), Yafan Zhao (Robert Gordon University), Amir H Gandomi (Óbuda University), Radhakrishna Prabhu (Robert Gordon University)
712NUSA: Drift-Aware Multimodal Authentication for Mobile Social MediaEldar Jalilzade (Newcastle University), Lei Shi (Durham University)
817GROFF: A Generative Restoration Model for Occluded Face FillingHaoyun Xu (ShanghaiTech University), Zhiyu Wan (ShanghaiTech University), Yun Wei (University of Shanghai for Science and Technology)
823HSGTCN:A Hybrid Semantic-Guided Transformer-CNN Network for Learned Image Compressed Sensingzitong cheng (Shandong university), yunsen tang (shandong university), fenghua tong (Qilu university), ning liu (shandong university), qian li (Shandong university)
851STEPS: Scene Text Editing with Preserved Style using Diffusion and Contrastive Style EncodingNicolas Thiebaut (Roblox)

Session 2A

Federated Learning and Prompt Engineering

Date

June 10, 2026

Time

2:00pm-3:00pm

Venue

Room 1 (The Riverside Ballroom, 1/F)

Session Chair

Jyoti Prakash Sahoo (Independent Researcher)

Paper IDPaper TitleAuthors
284A Survey on Advances of Foundation Models in Federated LearningShunan Zhu (The University of Tokyo), Jiawei Chen (The University of Tokyo), Hideya Ochiai (The University of Tokyo)
843Federated Large Language Models: Current Progress and Future DirectionsYuhang Yao (Carnegie Mellon University), Jianyi Zhang (Duke University), Junda Wu (University of California San Diego), Chengkai Huang (The University of New South Wales), Yu Xia (University of California San Diego), Tong Yu (Adobe Research), Ruiyi Zhang (Adobe Research), Sungchul Kim (Adobe Research), Ryan Rossi (Adobe Research), Ang Li (University of Maryland College Park), Lina Yao (The University of New South Wales), Julian McAuley (University of California San Diego), Yiran Chen (Duke University), Carlee Joe-Wong (Carnegie Mellon University)
490EarlyShield: Early-Stage Screening for Robust Personalized Federated LearningShixiong Li (University of Massachusetts Lowell), Xingyu Lyu (University of Massachusetts Lowell), Ning Wang (University of South Florida), Tao Li (Purdue University), Danjue Chen (North Carolina State University), Yidan Hu (Rochester Institute of Technology), Yimin Chen (University of Massachusetts Lowell)
418RED: Rule Guided Prompt Engineering for Graph Data ImputationXinyao Huang (Huazhong Agricultural University), Jiang Hua (Huazhong Agricultural University), Michael Bewong (Charles Sturt University), Selasi Kwashie (Charles Sturt University), Hua Wang (Victoria University), Zaiwen Feng (Huazhong Agricultural University)
581Diverse and Task-Specific Data Selection for Instruction TuningJuncheng Diao (Institute of Computing Technology, Chinese Academy of Sciences‌), Saiping Guan (CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences), Gaoyu Zhu (CAS Key Lab of Network Data Science and Technology, ICT, CAS), Jiafeng Guo (Institute of Computing Technology, Chinese Academy of Sciences), Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences)
801Prompt-tuning with Attribute Guidance for Low-resource Entity MatchingLihui Liu (University of Illinois at Urbana-Champaign), Carl Yang (Emory University)

Session 2B

Label-aware Learning and Security

Date

June 10, 2026

Time

2:00pm-3:00pm

Venue

Room 2 (Shatin Room, 1/F)

Session Chair

Zhihao Hao (Beijing Technology and Business University)

Paper IDPaper TitleAuthors
347Nonlinear Characteristic-Driven Partial Multi-Label Learningfuyu qi (Qingdao University), Linqing Huang (Shanghai Jiao Tong University), jian feng (Qingdao University), Zhiyong Li (Qingdao University), Qingkai Bu (Qingdao University), Wenpeng Lu (Qilu University of Technology (Shandong Academy of Sciences)), Jinfu Fan (Qingdao University)
349Partial Multi-Label Learning via Label Anchor Graphfuyu qi (Qingdao University), Linqing Huang (Shanghai Jiao Tong University), Jian Feng (Qingdao University), Zhiyong Li (Qingdao University), Qingkai Bu (Qingdao University), Wenpeng Lu (Qilu University of Technology (Shandong Academy of Sciences)), Jinfu Fan (Qingdao University)
258Probabilistic-Gap-Driven Relabeling Method for Positive-Negative-Unlabeled Learning with Label Selection BiasYuzhe Han (Zhejiang University), Peng Zhang (Zhejiang University)
463Semantic Steer Chain: Efficient and Precise Black-Box Jailbreaking through Adaptive ApproximationJiesen Long (Beijing Normal-Hong Kong Baptist University), Yisheng Zheng (Sun Yat-sen University), Jiayun Wu (Shanghai Jiao Tong University), Guojiao Zhao (Global College, Shanghai Jiao Tong University, Shanghai, China)
778ASTRA: Adversarial Stealthy Trigger Reasoning Attacks for Black-Box LLMsSeong-Gyu Park (Soongsil Univ.), Sohee Park (Soongsil Univ.), Daseon Choi (Soonsil Univ.)
254TabTokWak: Token(less)-Value Watermarking for Tabular Foundational ModelsJeroen Galjaard (Delft University of Technology), Chaoyi Zhu (Delft University of Technology), Cornelis Bos (Delft University of Technology), Robert Birke (University of Turin), Pin-Yu Chen (IBM), Lydia Chen (Delft University of Technology)

Session 2C

Feature Selection and Noise Handling

Date

June 10, 2026

Time

2:00pm-3:00pm

Venue

Room 3 (Tai Po I/II Room, 2/F)

Session Chair

Ashwini Kodipalli (PES University, India)

Paper IDPaper TitleAuthors
111Unified Local and Global Structure Learning for Feature SelectionXinjie Han (Guangxi Normal University), Cong Lei (Guangxi normal university), Yuhao Jiang (Guangxi Normal University), Jiayang Su (Hainan University), Shuyu Li (Guangxi Normal University), Guoqiu Wen* (Guangxi Normal University)
320Dual Nonlinear Sparse Feature Selection MethodPan Xie (Guangxi Normal University), Cong Lei (Sydney AI Centre, School of Computer Science, The University of Sydney), Shanwen Zhang (Guangxi Normal University), Shichao Zhang (Guangxi Normal University)
340Dual Self-Expression Subspace Clustering with Multi-Scale Features and Structural Consistency AlignmentYushan Peng (Chongqing Normal University), Ji Feng (Chongqing Normal University), Mingxun Xi (Chongqing Normal University), Yan Xu (Chongqing Normal University)
535Schema-Agnostic Feature Extractor using LLM and Transformer for RUL PredictionRyosuke Takayama (NEC Corporation), Masanao Natsumeda (NEC corporation)
605Noise-Aware Multi-inference Self-regulation for Self-supervised denoisingNazmus Saqib (Jeju National University), Yeochan Yoon (Jeju national university), Joon-Min Gil (Jeju National University)
256DENI: A Density-Enhanced Hybrid Sampling Framework with Neighborhood Information for Noisy Imbalanced ClassificationTian Tan (South China Agricultural University), Yuhong Xu (South China Agricultural University), Peijie Huang (South China Agricultural University)

Session 2D

Distribution Shift and Evaluation

Date

June 10, 2026

Time

2:00pm-3:00pm

Venue

Room 4 (Tai Po III/IV Room, 2/F)

Session Chair

Xudong WANG (The Chinese University of Hong Kong (Shenzhen))

Paper IDPaper TitleAuthors
406Prototype Fusion: A Training-Free Multi-Layer Approach to OOD DetectionShreen Gul (Missouri University of Science and Technology), Mohamed Elmahallawy (Washington State University), Ardhendu Tripathy, Sanjay Madria (Missouri University of Science and Technology, USA)
154Subject Information Extraction for Novelty Detection with Domain ShiftsYangyang Qu (EURECOM), Dazhi Fu (UESTC), Jicong Fan (The Chinese University of Hong Kong (Shenzhen))
434RectiCast: Rectifying Distribution Shift in Cascaded Precipitation NowcastingFanbo Ju (Southeast University), Haiyuan Shi (Southeast University), Qingjian Ni (Southeast University)
432Evaluation Metrics for Data Valuation MethodsJicong Fan (The Chinese University of Hong Kong (Shenzhen)), Zhiyu Chen (The Chinese University of Hong Kong, Shenzhen)
749Differentiable Zero-One Loss via Hypersimplex ProjectionsCamilo Gomez (University of Central Florida), Pengyang Wang (University of Macao), Liansheng Tang (University of Central Florida)
371When +1% Is Not Enough: A Paired Bootstrap Protocol for Evaluating Small ImprovementsWenzhang Du (MUTIC)

Session 2E

DSFA: Supervised Learning

Date

June 10, 2026

Time

2:00pm-3:00pm

Venue

Room 5 (Bauhinia Room, 3/F)

Session Chair

Yan Qiao (Hefei University of Technology)

Paper IDPaper TitleAuthors
330Structure-Aware Adaptive Differential Privacy in Supervised Graph SparsificationJiaxuan Si* (Guangxi Normal University), Jinyan Wang (Guangxi Normal University), Linlin Su (Guangxi Normal University), Chenhao Guo (Guangxi Normal University), Liu Yang (Guangxi Normal University), Xiaohong Liu (Guangxi Normal University)
502Machine Learning Performance vs Explanation Quality: Can We Have the Best of Both Worlds?Véronne Yepmo (IRIT), Julien Aligon (IRIT), Moncef Garouani (Bat. B Appt. 04), André Péninou (IRIT, UT2J), Olivier Teste (IRIT, University of Toulouse)
583SOAR: Selective Oversampling Using Anomaly-based Decile Refinement for Multiclass Imbalanced ProblemsSupanigarn Munkhong (Chulalongkorn University), Krung Sinapiromsaran (Chulalongkorn University), Natthawut Kertkeidkachorn (Japan Advanced Institute of Science and Technology (JAIST))
737A Regime-Aware Fusion Framework for Time Series ClassificationHoney CHAUHAN (UoB), Honey CHAUHAN (University of Bristol), Zahraa Abdallah (University of Bristol)
750On Imbalanced Regression with Hoeffding TreesPantia-Marina Alchirch (University of Oklahoma), Dimitrios Diochnos (The University of Oklahoma)
818Q-Matrix Completeness and Annotation Strategies: A Comparative Study of Knowledge Tracing ArchitecturesLiu Cheng Lee (Kyushu University), Yutaka Arakawa (Kyushu University), Tsunenori Mine (Kyushu University)

Session 3A

Agentic Learning

Date

June 10, 2026

Time

4:20pm-5:00pm

Venue

Room 1 (The Riverside Ballroom, 1/F)

Session Chair

Quanming Yao (Tsinghua)

Paper IDPaper TitleAuthors
790From Informal Descriptions to Formal MILP Models through a Multi-agent Approach with Structured Knowledge IntegrationJyotheesh Gaddam (Deakin University), Qingyang Li (The University of Melbourne), Lele Zhang (The University of Melbourne), Bahadorreza Ofoghi (Deakin University), Diego Molla-Aliod (Macquarie University)
625LLM-Guided Role Assignment and Coordination in Multi-Agent Reinforcement LearningWei Xiong (Institute of Software Chinese Academy of Sciences), Tingrui Yang (Institute of Software Chinese Academy of Sciences), Yong Heng (Beijing Institute of Electronic System Engineering), Jiebo Chen (Beijing Institute of Electronic System Engineering), Qian Gao (Beijing Institute of Electronic System Engineering), Shengze Shi (Institute of Software Chinese Academy of Sciences), Jun Hu (Institute of Software Chinese Academy of Sciences)
544Opportunities for AutoML in the Agentic EraZhenqian Shen (Tsinghua university), Kelly Chandra Wijaya (Tsinghua university), Quanming Yao (Tsinghua university)
300Beyond Single AI: The Rise of Multi-Agent Orchestration - A Survey on Bias, Privacy, Robustness, and InterpretabilityVictor Vargas Arce (University of North Carolina at Charlotte), Farsheed Haque (University of North Carolina at Charlotte), Depeng Xu (University of North Carolina at Charlotte), Xi Niu (University of North Carolina at Charlotte), Shuhan Yuan (Utah State University)

Session 3B

Spatio-Temporal Learning

Date

June 10, 2026

Time

4:20pm-5:00pm

Venue

Room 2 (Shatin Room, 1/F)

Session Chair

Yuxuan LIANG (HKUST (Guangzhou))

Paper IDPaper TitleAuthors
98TARP: An Effective and Efficient Route Prediction Method via Uncertainty-aware Traffic Imputation and Divide-and-Conquer InferenceXingyu Xian (Beijing Jiaotong University), Xiaowei Mao (Beijing Jiaotong University), Yang Jiang (Beijing Jiaotong University), Tingrui Wu (Beijing Jiaotong University), Shengnan Guo (Beijing Jiaotong University), Youfang Lin (Beijing Jiaotong University), Huaiyu Wan (Beijing Jiaotong University)
837LLM-SATPOI: A Semantic-Aligned Large Language Model with Temporal Modeling for Next POI RecommendationXuelin Zhang (Zhengzhou University), Meng Zhang (State Key Laboratory of Mathematical Engineering and Advanced Computing), Xiangyang Luo (State Key Laboratory of Mathematical Engineering and Advanced Computing)
695Using Text-Based Life Trajectories from Swedish Register Data to Predict Residential Mobility with Pretrained TransformersPhilipp Stark (Lund University), Alexandros Sopasakis (Lund University), Ola Hall (Lund University), Markus Grillitsch (Lund University)
77ShipTraj-R1: Reinforcing Ship Trajectory Prediction in Large Language Models via Group Relative Policy OptimizationYang Zhan (Northwestern Polytechnical University), Yunhao Li (Wuhan University), Chao Zhang (WUHAN UNIVERSITY), Yuxu Lu (Hong Kong Polytechnic University), Yan Li (Wuhan University)

Session 3C

Reinforcement Learning

Date

June 10, 2026

Time

4:20pm-5:00pm

Venue

Room 3 (Tai Po I/II Room, 2/F)

Session Chair

Shridhar B.Devamane (MS Engineering College, Bengaluru)

Paper IDPaper TitleAuthors
466Meta-RL with Shared Representations Enables Fast Adaptation in Energy SystemsThéo Zangato (Université Sorbonne Paris Nord), Aomar Osmani (Insa Rouen), Pegah Alizadeh (Université Sorbonne Paris Nord)
871A Path Value-aware Reinforcement Learning Method for Knowledge Graph Question AnsweringZifang Tang (Beijing University of Technology), Tong Li (Beijing University of Technology), Yiting Wang (Beijing University of Technology), Yani Yang (Beijing University of Technology), Zhen Yang (Beijing University of Technology)
464AutoPrep-MM: Reinforcement Learning for Multimodal Data Preprocessing with Graph-based Interaction ModelingJing Chang (Shenzhen University), Chang Liu (Shenzhen University), Jinbin Huang (Shenzhen University)
840Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-AugmentationJingming Liu (Zhejiang University), Yumeng Li (Zhejiang University), Wei Shi (Meituan), Yao-Xiang Ding (Zhejiang University), Hui Su (Meituan), Kun Zhou (Zhejiang University)

Session 3D

Contrastive Learning

Date

June 10, 2026

Time

4:20pm-5:00pm

Venue

Room 4 (Tai Po III/IV Room, 2/F)

Session Chair

Vinti Agarwal (Birla Institute of Technology And Science, Pilani India)

Paper IDPaper TitleAuthors
427Divergence-Based Similarity Function for Multi-View Contrastive LearningJaeHyoung Jeon (Seoul National University), Cheolsu Lim (Seoul National University), Myungjoo Kang (Seoul National University)
120When SpikeKANFormer meets Angular contrastive learningLiangjin Liu (Sichuan University), Siwen Deng (Sichuan University), Zhengzhong Zhu (Sichuan University), Pei Zhou (Sichuan University)
76Spatio-temporal Context-aware Web Service QoS Prediction via Contrastive Learningxiang mao (anhui university), yu zhang (anhui university), xiaoyao zheng (anhui normal university), yiwen zhang (anhui university)
329SEEDS: Curriculum-Driven Adaptive Regression Contrastive Learning for Robust Evidence-based Depression Severity ClassificationTu-Phuong Mai (VNU University of Engineering and Technology), Duy-Cat Can (Lausanne University Hospital), Hoang-Quynh Le (University of Engineering and Technology)

Session 3E

DSFA: Time Series Processing

Date

June 10, 2026

Time

4:20pm-5:00pm

Venue

Room 5 (Bauhinia Room, 3/F)

Session Chair

Zahraa S. Abdallah (University of Bristol, UK)

Paper IDPaper TitleAuthors
131Self-Supervised Learning for Time Series Classification via Redundancy Reduction and Wavelet-based Data AugmentationDaravichet Tin (University of New South Wales), Hassan Habibi Gharakheili (University of New South Wales), Gustavo Batista (UNSW)
176Mixing It Up: Exploring Mixer Networks for Irregular Multivariate Time Series ForecastingChristian Klötergens (Information Science and Machine Learning Lab University of Hildesheim), Vijaya Yalavarthi (Information Science and Machine Learning Lab University of Hildesheim), Tim Dernedde (Information Science and Machine Learning Lab University of Hildesheim), Lars Schmidt-Thieme (Information Science and Machine Learning Lab University of Hildesheim)
565Bridging Statistical Seasonality and Diffusion-based Deep Learning for Multivariate Time Series ForecastingSarinna Maplook (Hiroshima University), Koji Eguchi (Hiroshima University)
781Hybrid Time Series Diffusion Model and Conformal Prediction for Incomplete Time SeriesRyu Shirakami (Deloitte Touche Tohmatsu LLC), Shunsuke Hirose (Deloitte Touche Tohmatsu LLC), Koh Takeuchi (Kyoto University)

Day 3: June 11, 2026 (Thu)

10 sessions

Session 4A

Large Language Model, Distillation and Language Model

Date

June 11, 2026

Time

9:30am-11:00am

Venue

Room 1 (The Riverside Ballroom, 1/F)

Session Chair

Hongyang Yang (Columbia University)

Paper IDPaper TitleAuthors
48DIALEVAL: Automated Type-Theoretic Evaluation of LLM Instruction FollowingNardine Basta (Macquarie University), Mohamed Ali Kaafar (Macquarie University and CSIRO-Data61)
191Adapter-Only Bridging of Frozen Speech Encoder and Frozen LLM for ASRJunseok Oh (Sogang University), Ji-Hwan Kim (Sogang University)
226Improving Uncertainty Quantification and Knowledge-Intensive Routing via Query Understanding in Large Language ModelsMyeong-Cheol Kang (Electronics and Telecommunications Research Institute), Jin Seong (Electronics and Telecommunications Research Institute), Jong-hun Shin (Electronics and Telecommunications Research Institute), Soojong Lim (Electronics and Telecommunications Research Institute), Oh-Woog KWON (Electronics and Telecommunications Research Institute)
702Towards Unveiling Vulnerabilities of Large Reasoning Models in Machine UnlearningAobo Chen (Iowa State University), Chenxu Zhao (Iowa State University), Chenglin Miao (Iowa State University), Mengdi Huai (Iowa Sate University)
713Memory in LLM-based Multi-agent Systems: Mechanisms, Challenges, and Collective IntelligenceShanglin Wu (Emory University), Kai Shu (Emory University)
431Mixture-of-Adapters with Routed Distillation: Unsupervised Expert Routing for Efficient Multi-Task LoRAAli Braytee (University of Technology Sydney), Guanqi Cheng (UTS), Husam Al-Najjar (University of Technology Sydney), Ali Anaissi (The University of Sydney)
566FedCKD: A Knowledge Distillation Approach to Cross-client Learning in Federated Learning with Label-exclusive DatasetsMinh Châu Lê (University of Engineering and Technology), Tram Truong-Huu (Singapore Institute of Technology), Hoang-Quynh Le (University of Engineering and Technology), Duc-Trong Le (University of Engineering and Technology, Vietnam National University, Hanoi)
476Uncertainty-aware Language Guidance for Concept Bottleneck ModelsYangyi Li (Iowa State University), Mengdi Huai (Iowa Sate University)
617DrIM: Context-Driven Nearest Neighbor Imputation using Language RepresentationJaesung Lim (Department of Statistics and Data Science, University of Seoul), Seunghwan An (Incheon National University), Jong-June Jeon (University of Seoul)

Session 4B

Classification/Prediction and Ensemble

Date

June 11, 2026

Time

9:30am-11:00am

Venue

Room 2 (Shatin Room, 1/F)

Session Chair

Kyoungok Kim (Seoul National University of Science and Technology)

Paper IDPaper TitleAuthors
642HiMoE-CCTC: A Hierarchical Mixture-of-Experts Framework for Citizen Complaint Text ClassificationJialing He (Beijing Information Science and Technology University), Li Li (Beijing Information Science and Technology University), Jiahe Liu (Beijing Information Science and Technology University), Yanming Gong (Beijing Institute of Technology)
772ModTGCN: Modularity-aware Graph Neural Networks for Text ClassificationRajarshi Misra (BITS Pilani), Aditya Sharma (Birla Institute of Technology Pilani), Vinti Agarwal (BITS PILANI), Hari Om Aggrawal (University of Luebeck)
805From Soft Logic to Hard Rules: A Differentiable Boolean Framework for Interpretable and Balanced ClassificationJiayu Xue (Dalian Minzu University), Bowen Shen (Dalian Minzu University), Haoran Liu (Chongqing University of Posts and Telecommunications), Shuo Guan (Northeastern University), Lijing Wei (Dalian Minzu University), Hejia Cao (Dalian Minzu University), Yuangang Wang (Dalian Minzu University)
841Sequence-to-Image Transformation for Sequence Classification Using Rips Complex Construction and Chaos Game RepresentationSarwan Ali (Georgia State University), Taslim Murad (Institute of Business Administration), Imdad Ullah Khan (Lahore University of Management Sciences)
747Hierarchical Graph-Language Models for Sequential Sentence ClassificationPhuong Nguyen (New Mexico State University), Tuan Le (New Mexico State University), Julian McAuley (UCSD)
862TabCL: Continual Malware Classification with Tabular-Aware GenerationJimin Park (Ewha womans university), Haeseung Jeon (Ewha Womans University), Ahyun Ji (Ewha Womans University), Aritran Piplai (The University of Texas at El Paso), Mohammad Saidur Rahman (University of Texas at El Paso), Se Eun Oh (Ewha Womans University)
830Physics-Guided Knowledge Graphs for Verifiable Wildfire PredictionNahed Abu Zaid (North Carolina State university), Ranga Raju Vatsavai (North Carolina State University)
774POF-HG: Fusion of Public Opinion Field Effect and Heterogeneous Hypergraph for Information Diffusion PredictionWei Yang (Nanjing University of Aeronautics and Astronautics), Ji Zhang (University of Southern Queensland), Zhao Li (Hangzhou Yugu Technology), Yude Bai (Tiangong university), Jia Wang (Xi'an Jiaotong-Liverpool University)
578Tri-ABL: Enhancing ABL Using Three LearnersYanxiao Huang (Nanjing University), Haoyuan He (Nanjing University), Ming Li (Nanjing University)

Session 4C

Explainable AI and Causality/Correlation

Date

June 11, 2026

Time

9:30am-11:00am

Venue

Room 3 (Tai Po I/II Room, 2/F)

Session Chair

Qian Li (Curtin University, Perth, Australia)

Paper IDPaper TitleAuthors
669On the Factual Consistency of Text-based Explainable Recommendation ModelsBen Kabongo (Sorbonne Université), Vincent Guigue (AgroParisTech)
807GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck ModelsOscar Rivera (Northwestern University REAL Lab), Ziqing Wang (Northwestern University REAL Lab), Matthieu Dagommer (AbbVie), Abhishek Pandey (AbbVie), Kaize Ding (Northwestern University REAL Lab)
762X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing DetectionQi Zhang (Virginia Tech), Dian Chen (Virginia Tech), Lance Kaplan (U.S. Army DEVCOM Army Research Laboratory), Audun Jøsang (University of Oslo), Dong Hyun Jeong (University of the District of Columbia), Feng Chen (University of Texas at Dallas), Jin-Hee Cho (Virginia Tech)
312EXCODER: EXplainable Classification Of DiscretE time series RepresentationsYannik Hahn (Chair of Technologies and Management of Digital Transformation, University of Wuppertal), Antonin Königsfeld (University of Wuppertal), Hasan Tercan (University of Wuppertal), Tobias Meisen (University of Wuppertal)
869ReForest: Interpretability Meets Reasoning in Isolation ForestJuyoung Seo (Sungkyunkwan University), Geonwoo Bang (sungkyunkwan university), Dongho Kim (Sungkyunkwan University), Moohong Min (Sungkyunkwan University)
681Explainable Cognitive Task Classification in Pediatric EEG Using CPCC-Based Functional Connectivity ImagesJinkwon Lee (Sungkyunkwan university), Seohyeon Hong(Sungkyunkwan University), Hayoung Oh (Sungkyunkwan University)
743Towards Learning Nonlinear Multivariate Correlations in Tabular DataSamuel Stocksieker (Institut de Mathématiques de Marseille / Aix-Marseille University), Denys Pommeret (Institut de Mathématiques de Marseille / Aix-Marseille University / CNRS)
826Interpretable Prediction of Alzheimer's Disease via Neural Granger Causality DiscoveryJinyang Xie (Donghua university), Qiao Pan (Donghua University), Ch Dehua (Dhu), Mei Wang (Donghua University)
494HIGR: Hierarchical Iterative Graph Reasoner for Document-Level Event Causality IdentificationJianwei Ni (East China University of Science and Technology), Yi Guo (ECUST), Jiaojiao Fu (East China University of Science and Technology)

Session 4D

Graph Learning and Clustering

Date

June 11, 2026

Time

9:30am-11:00am

Venue

Room 4 (Tai Po III/IV Room, 2/F)

Session Chair

Renchi YANG (HKBU)

Paper IDPaper TitleAuthors
56Estimating Subgraph Importance with Structural Prior Domain KnowledgeChanghyun Kim (University of Seoul), Seunghwan An (Incheon National University), Jong-June Jeon (University of Seoul)
85Enhancing Graph Neural Networks with Adaptive Relation Learning via Variational InferenceJuyeob Lee (Sungkyunkwan University), Yunho Jeong (Sungkyunkwan University), Serin Kim (Sungkyunkwan University), Dayeon Han (Sungkyunkwan University), Eunil Park (Sungkyunkwan University)
108Boosting Black-box Graph Reconstruction Attacks via Adjacency Relationship Recovery of Representative NodesXinyu Jiang (Shenzhen University), QIAO YAN (SHENZHEN UNIVERSITY)
557Subgraph Plug-in Boosts up Graph Neural NetworksHyung-jun Moon (Hyung-jun), Sung-Bae Cho (Yonsei University)
656Anomaly Edge Detection in Dynamic Graphs Based on Hyperbolic Graph Neural NetworksJing He (Yunnan university), Lin Chen (Yunnan University)
661Risk-Aware Skill-Coverage Hybrid Workforce Configuration on Social NetworksHui-Ju Hung (National Central University), Guang-Siang Lee (Academia Sinica), Chia-Hsun Lu (National Tsing Hua University), Chih-Ya Shen (National Tsing Hua University), De-Nian Yang (Academia Sinica)
370Self-Weighted Contrastive Fusion for Deep Multi-View scRNA-seq ClusteringFeiyu Chen (Chongqing Normal University), Zihao Feng (chongqing normal university), Zhongyang Zhou (Chongqing Normal University), Bin Tang (Chongqing Normal University), Shangshang Zhao (College of Computer and Information Science, Chongqing Normal University, Chongqing, China)
760Clustering Ensembles: A Data Perspective SurveyWenjun He (Shanxi University), Yan Chen (Taiyuan University of Technology), Peng Zhou (Anhui University), Liang Du (Shanxi University)
793CSP-HEIDI - Visualising Closest Subspace Points in R^d clusters and classesTanish Gupta (International Institute of Information Technology, Hyderabad), Kamalakar Karlapalem (IIIT hyderabad)

Session 4E

DSFA: Retrieval and Ranking

Date

June 11, 2026

Time

9:30am-11:00am

Venue

Room 5 (Bauhinia Room, 3/F)

Session Chair

Harry Kai-Ho Chan (University of Sheffield)

Paper IDPaper TitleAuthors
115Compositional Concept-Based Neuron-Level Explanations for Deep Reinforcement LearningZeyu Jiang (Beijing University of Posts and Telecommunications), Hai Huang (Beijing University of Posts and Telecommunications), Xingquan Zuo (Beijing University of Posts and Telecommunications)
165Multimodal Fake News Detection: Integrating Text and Social Network InformationQuoc-Viet Nguyen (National Central University), Xiao-Chi Chen (National Central University), Khanh-Duy Nguyen (National Central University), MIn-Te Sun (National Central University), Wu-Yuin Hwang (National Dong Hwa University), Kazuya Sakai (Tokyo Metropolitan University), Wei-Shinn Ku (Auburn University)
200Beyond Semantics: Exploring Context Ranking under Knowledge ConflictsSanghyeon Cho (Electronics and Telecommunications Research Institute), Myeongjin Lee (Electronics and Telecommunications Research Institute), Jeong Heo (Electronics and Telecommunications Research Institute), Jong-hun Shin (Electronics and Telecommunications Research Institute), Kiyoung Lee (Electronics and Telecommunications Research Institute), Soojong Lim (Electronics and Telecommunications Research Institute)
208SIMC: LLM-Driven Generative Recommendation with Semantic Item Modeling and ConstraintsMinghao Chen (Tencent), Jiale Zheng (Huawei)
246Adaptive Multi-Platform Multi-Behavior Contrastive Learning for Enhanced E-commerce RecommendationBo Ma (Peking University), Luyao Liu (China University of Political Science and Law), Xin Zhang (Peking University), XiaoFan Gui (Peking University), Hang Li (Peking University)
542C³: Capturing Consensus with Contrastive Learning in Group RecommendationSoyoung Kim (Department of Applied Artificial Intelligence, Sungkyunkwan University), Dongjun Lee (Sungkyunkwan University), Jaekwang KIM (Sungkyunkwan University)
560Fourier Neural Operator on Implicit Points for PDE surrogate modelingJiyan Qiu (Computer Network Information Center, Chinese Academy of Sciences), Pengcheng Shi (Computer Network Information Center, Chinese Academy of Sciences), Wu Yuan (Computer Network Information Center, Chinese Academy of Sciences), Jian Zhang (Computer Network Information Center, Chinese Academy of Sciences), Xuebin Chi (Computer Network Information Center, Chinese Academy of Sciences)
698ExpaRank: A Multi-dimensional Contribution-aware Method for Passage Re-rankingHengyu Sun (Beijing University of Technology), Tong Li (Beijing University of Technology), Zifang Tang (Beijing University of Technology), Zhen Yang (Beijing University of Technology),
789nCLEAR: Nonlinear Coupled Latent Embedding for Cross-Sectional Asset ReturnsBhaskar Goswami (New Jersey Institute of Technology), Ajim Uddin (New Jersey Institute of Technology), Dantong Yu (New Jersey Institute of Technology)

Session 5A

Large Language Model and Reasoning

Date

June 11, 2026

Time

11:50am-1:00pm

Venue

Room 1 (The Riverside Ballroom, 1/F)

Session Chair

Arijit Khan (Bowling Green State University)

Paper IDPaper TitleAuthors
715RLKGC: Reinforcement Learning Retrieval with Large Language Models for Knowledge Graph CompletionUrshi Barua Teya (Wayne State University), Kai Shu (Emory University), Suzan Arslanturk (Wayne State University), Sorin Draghici (Wayne State University), Lihui Liu (Wayne State University)
726Smart Trial: Evaluating LLMs for Recruiting Clinical Trial Participants on Social Mediaxiaofan zhou (university of illinois at chicago), Zisu Wang (Colorado State University), Janice Krieger (Mayo Clinic), Mohan Zalake (university of illinois at chicago), Lu Cheng (university of illinois at chicago)
736MACA: A Framework for Distilling Trustworthy LLMs into Efficient RetrieversSATYA SWAROOP GUDIPUDI (JP Morgan Chase), Sahil Girhepuje (JP Morgan Chase), Ponnurangam Kumaraguru (IIIT), Kristine Ma (JP Morgan Chase)
647A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspectivehuaming Du (Southwestern University of Finance and Economics), Cancan Feng (Chengdu University), Yuqian Lei (Universität Hamburg), Chenyang ZHANG (The University of Hong Kong), Guisong Liu (Southwestern University of Finance and Economics), Gang Kou (Southwestern University of Finance and Economics), Carl Yang (Emory University), Yu Zhao (Southwestern University of Finance and Economics)
492Selective Forgetting for Large Reasoning ModelsTuan Le (Iowa State University), Wei Qian (Iowa State University), Mengdi Huai (Iowa Sate University)
458Enhancing Financial Reasoning via Program-of-Thought LearningKelvin Du (DBS Bank Ltd), Hong Xiang Liong (DBS Bank Ltd), Basil Yap (DBS Bank Ltd), Shikhar Saxena (DBS Bank Ltd), Durga Naga Venkata Ramarao Alamuri (DBS Bank Ltd), Rajanikanth Annam (DBS Bank Ltd)
814Evaluating Social Bias in RAG Systems: When External Context Helps and Reasoning HurtsShweta Parihar (University of Illinois at Chicago), Lu Cheng (University of Illinois Chicago)

Session 5B

Time Series and Graph Learning

Date

June 11, 2026

Time

11:50am-1:00pm

Venue

Room 2 (Shatin Room, 1/F)

Session Chair

M S Mekala (Robert Gordon University, UK)

Paper IDPaper TitleAuthors
156A VMD-Prior-guided Adaptive Learning Method for Multi-step Industrial Time Series ForecastingZhenya Chen (Qilu University of Technology), Yameng Zhang (Qilu University of Technology), Ming Yang (Qilu University of Technology), Xuguo Jiao (Qingdao University of Technology), Xiaoming Wu (Qilu University of Technology), Xin Wang (Qilu University of Technology)
555TS-Unlearn: A Dual-Objective Unlearning Framework for Time Series ForecastingZiyi Wang (Shanghai Jiaotong University), Lixing Chen (Shanghai Jiao Tong University), Zhongqi Miao (Shanghai Jiao Tong University), Junhua Tang (Shanghai Jiao Tong University), Yang Bai (Shanghai Jiao Tong University), Jianhua Li (Shanghai Jiao Tong University)
829SenTS: A Unified Time-Spectral Modeling Framework with Periodic Regularization for Sensing Behavior DiscriminationRuping Zou (the School of Data Science and Artificial Intelligence, Chang’an University.), Zhihai Yang (the School of Data Science and Artificial Intelligence, Chang’an University.), Jiaxin Ma (the School of Data Science and Artificial Intelligence, Chang’an University.), Kexin Li (the School of Data Science and Artificial Intelligence, Chang’an University.)
689Graph Representation Learning with Laplacian Pyramid Residuals for Graph ClassificationTae-Hwan Kim (Yonsei University), Sung-Bae Cho (Yonsei University)
724Node2Graph: Diagnosing Task Unification in Graph LearningNeelam Akula (UT Dallas), Varun Shiralkar (UT Dallas), Baris Coskunuzer (University of Texas at Dallas)
857PallasGNN: Curriculum-Based Pattern Mining for Robust GNNsKaiwen Xia (National University of Defense Technology), Huijun Wu (National University of Defense Technology), Min Xie (National University of Defense Technology), Ruibo Wang (National University of Defense Technology), Wenzhe Zhang (National University of Defense Technology), Zhenwei Wu (National University of Defense Technology), Yong Dong (National University of Defense Technology)
265HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge GraphsYongkang Xiao (University of Minnesota), Rui Zhang (University of Minnesota)

Session 5C

Neuro-Symbolic Learning, Data Pre-processing and QA

Date

June 11, 2026

Time

11:50am-1:00pm

Venue

Room 3 (Tai Po I/II Room, 2/F)

Session Chair

Shridhar B.Devamane (MS Engineering College, Bengaluru)

Paper IDPaper TitleAuthors
316Neural-Symbolic Logic Query Answering in Non-Euclidean SpaceLihui Liu (University of Illinois at Urbana-Champaign)
453Neuro-Symbolic Learning for Predictive Process Monitoring via Two-Stage Logic Tensor Networks with Rule PruningFabrizio De Santis (University of Parma), Gyunam Park (Eindhoven University of Technology), Francesco Zanichelli (University of Parma)
690Learning Bloom Filters: A ReviewPaul Walther (Technical University of Munich), Martin Werner (TU München)
96Cross-domain Aspect Sentiment Triplet Extraction Based on Generative Data Augmentation and Pseudo-label OptimizationZhou Zou (School of Computer Science and Artificial Intelligence, Hubei Provincial Key Laboratory of Green Intelligent Computing Power Network), Jianxia Chen (Hubei University of Technology), Long Yang (Hubei University of Technology), Ninglong Ding (Hubei University of Technology), Liang Xiao (Hubei University of Technology), Zhongwei Huang (Hubei University of Technology)
440DeltaAug: A Directional Semantic Data Augmentation Framework Guided by Differential ReasoningWenhao Chen (Peking University), He Li (Peking University), Gang Shen (China Tower Corporation Limited), Wenjun Ma (China Tower Corporation Limited), Rundong Cao (China Tower Corporation Limited), Guojie Song (Peking University)
234DependencyRAG: Dependency-guided RAG for Multi-hop Question AnsweringMengze Wang (Xi'an Jiaotong University), Yefeng Yong (SHMEEA), Meiyi Dong (SHMEEA), Ying Chen (SHMEEA), Wei Huang (SHMEEA), Huan Liu (Xi’an Jiaotong University)
786AEGI: Anchor Event Guided Inference for TKGQAYuqing FU (City University of Hong Kong), Yimin DENG (City University of Hong Kong), Yejing WANG (City University of Hong Kong), Li ZHU (Xi'an Jiaotong University), Xueming QIAN (Xi'an Jiaotong University), Guoshuai ZHAO (Xi'an Jiaotong University), Xiangyu ZHAO (City University of Hong Kong)

Session 5D

Deep Learning

Date

June 11, 2026

Time

11:50am-1:00pm

Venue

Room 4 (Tai Po III/IV Room, 2/F)

Session Chair

Ashwini Kodipalli (PES University, India)

Paper IDPaper TitleAuthors
426Rethinking Unlearnable Examples in Machine UnlearningChenxu Zhao (Iowa State University), Wei Qian (Iowa State University), Chenglin Miao (Iowa State University), Mengdi Huai (Iowa Sate University)
627ContinualCropBank: Object-Level Replay for Semi-Supervised Online Continual Object DetectionLucas Tsutsui da Silva (University of New South Wales), Gustavo Batista (UNSW)
507MJOS: A Multi-Stage Joint Optimization Strategy for Convolutional Neural Network CompressionEnze Zhu (China University of Geosciences, Wuhan), Junfeng Yan (China University of Geosciences, Wuhan), Derun Gan (China University of Geosciences, Wuhan), Guangzhi Qu (Oakland University), Feng Zhang (China University of Geosciences, Wuhan)
751Efficient Inference for Flow Matching via Unified Path CFGKosuke Ukita (Kyushu Institue of Technology), Tsuyoshi Okita (Kyushu Institute of Technology)
59A hierarchy tree data structure for behavior-based user segment representationYang Liu (Meta)
209PAED: Physics-Anchored and Emotion Disentangled Memory Diffusion for Talking Face GenerationChuwen Zhang (Stony Brook University), Xingchu Zhang (Tianjin Univerisity), Rui Mao (Zhongnan University), Zehao Deng (Soochow University)
632ELC U-Mamba: Efficient Linear-Chunked Mamba for Coal Microscopic Image SegmentationHui Ding (Capital Normal University), Ouli Luo (Institute of Microelectronics of The Chinese Academy of Sciences), Fanqian Meng (Institute of Microelectronics of The Chinese Academy of Sciences), Guoping Huo (China University of Mining and Technology-Beijing)

Session 5E

DSFA: Adversarial Attacks & Defense

Date

June 11, 2026

Time

11:50am-1:00pm

Venue

Room 5 (Bauhinia Room, 3/F)

Session Chair

Sanjay Madria (Missouri University of Science and Technology, USA)

Paper IDPaper TitleAuthors
91Automated Multiple-Choice Question Generation: A Survey from a KDDM PerspectiveNan Mu (Kyushu University), Tsunenori Mine (Kyushu University)
235A Review of Human-Centric Evaluation of Cultural Biases in Indic Languages in LLMs: Rethinking Research DirectionsAzmine Toushik Wasi (Shahjalal University of Science and Technology), Omid Reza Heidari (Concordia University), MD Mohaymen Ul Anam (Islamic University of Technology), Abdur Rahman (Shahjalal University of Science and Technology), Amit Agarwal (Oracle), Hitesh Laxmichand Patel (Oracle), Bhargava Kumar (TD Securities), Taki Hasan Rafi (Hanyang University), Dong-Kyu Chae (Hanyang University)
473Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Model Poisoning AttacksXingyu Lyu (University of Massachusetts Lowell), Ning Wang (University of South Florida Accounts Payable), Shixiong Li (University of Massachusetts Lowell), Yidan Hu (Rochester Institute of Technology Rochester), Yimin Chen (University of Massachusetts Lowell)
517Joint Universal Adversarial Perturbations with InterpretationsLiangbo Ning (The Hong Kong Polytechnic University), Zeyu Dai (PolyU), Wenqi FAN (The Hong Kong Polytechnic University), Jingran Su (School of Computer Science, Northwestern Polytechnical University), Chao Pan (The Hong Kong Polytechnic University), Luning Wang (Huawei Tech.), Qing Li (The Hong Kong Polytechnic University)
615How Much Can We Forget? On Boosting Removal Capacity in Machine UnlearningXiangni Lu (Wuhan University of Technology), Lin Li (Wuhan University of Technology), Dong Zhang (Wuhan University of Technology), Kaize Shi (University of Southern Queensland), Xiaohui Tao (University of Southern Queensland)
682Region-Level Black-Box Defense Against Stealthy Embedding-Space Backdoors in CLIPAhmed Abdelnaby (Washington state university), Mohamed Elmahallawy (Washington State University)
811AI-generated Image Detection based on the Most Suspicious PatchHang Gao (Tianjin University of Science and Technology), Mengting Hu (Nankai University), Tiegang Gao (Nankai University)

Day 4: June 12, 2026 (Fri)

15 sessions

Session 6A

Multi-modal Learning and Summarization

Date

June 12, 2026

Time

9:30am-10:55am

Venue

Room 1 (The Riverside Ballroom, 1/F)

Session Chair

Jinbin Huang (Shenzhen University, China)

Paper IDPaper TitleAuthors
685RouteLlama: Proactive Disentanglement for Robust Multi-Domain Text MiningJiarui Zhang (Institute of Information Engineering, Chinese Academy of Sciences), Mingzhe Lu (Institute of Information Engineering,Chinese Academy of Sciences), Yifan Deng (University of Chinese Academy of Sciences)
758CAMO: Causality-Guided Adversarial Multimodal Domain Generalization for Crisis ClassificationPingchuan Ma (Arizona State University), Chengshuai Zhao (Arizona State University), Bohan Jiang (Arizona State University), Saketh Vishnubhatla (Arizona State University), Ujun Jeong (Arizona State University), Alimohammad Beigi (Arizona State University), Adrienne Raglin (DEVCOM Army Research Lab), Huan Liu (Arizona State University)
449Unified Multimodal Retrieval Framework for Multimodal RAGHaitao Huang (Shanghai Jiao Tong University), Tianyi Feng (LongShine Technology Group Co., Ltd), Ruiyan Wang (Shanghai Jiao Tong University), Wei Xiong (LongShine Technology Group Co., Ltd), Fei Huang (LongShine Technology Group Co., Ltd), Zhengxue Cheng (Shanghai Jiao Tong University), Rong Xie (Shanghai Jiao Tong University), Li Song (Shanghai Jiao Tong University)
652Relation Prototype Driven Multimodal Knowledge Graph CompletionShuyue Zhu (Tongji University), Chungang Yan (Tongji University), Bingxuan Hou (Tongji University), Mengna Gao (Tongji University), Qingqing Hong (Tongji University), Dapeng Yin (Tongji University), Junli Wang (Tongji University)
382IAMRec: Intent-Adaptive Multimodal Recommendation with Collaborative–Modality DisentanglementJiayi Chen (Dalian University of Technology), Xin Zheng (RMIT University), Yixin Liu (Griffith University), Yi Li (Dalian University of Technology), Yanqing Guo (Dalian University of Technology), Shirui Pan (Griffith University)
71S2tory: Story Spine Distillation for Movie Script SummarizationMingzhe Lu (Institute of Information Engineering, Chinese Academy of Sciences), Yanbing Liu (Institute of Information Engineering, Chinese Academy of Sciences), Qihao Wang (Institute of Information Engineering, Chinese Academy of Sciences), Jiarui Zhang (Institute of Information Engineering, Chinese Academy of Sciences), Jiayue Wu (Institute of Information Engineering, Chinese Academy of Sciences), Yue Hu (Institute of Information Engineering, Chinese Academy of Sciences), Yunpeng Li (Institute of Information Engineering, Chinese Academy of Sciences), Yangyan Xu (HiThink Research)
412AVER:Adversarial Variational Enhanced Representation Architecture for Abstractive Multi-Document SummarizationChao Jie Sun (Zhejiang University of Technology), Xinxin Guan (Zhejiang University of Technology), Chenyu Hou (Zhejiang University of Technology), Ting Wang (Zhejiang University of Technology), Bin Cao (Zhejiang University of Technology, China), Tiantian Li (Zhejiang University of Technology)

Session 6B

Time Series and Applications

Date

June 12, 2026

Time

9:30am-10:55am

Venue

Room 2 (Shatin Room, 1/F)

Session Chair

Yuxuan LIANG (HKUST (Guangzhou))

Paper IDPaper TitleAuthors
526Unified Loss-Level Regularization for Spike-Aware and Anti-Lag Time Series ForecastingFaiza Afzal (Jeju National University)
865Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series QuantificationMd Shahriar Kabir (Texas State University), Mayesha Maliha R. Mithila (Texas State University), Anne H. H. Ngu (Texas State University), Mylène C.Q. Farias (Texas State University), Byron Gao (Texas State University)
533Mosaic: an Accurate and Efficient Kernel-based Multivariate Time Series ClassifierYunrui Zhang (University of New South Wales), Gustavo Batista (UNSW), Salil Kanhere (UNSW Sydney)
663Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased Is Time Series Forecasting?Ibram Abdelmalak (Information System and Machine Learning Lab (University of Hildesheim) - Data Analytics Research Center (Volkswagen Financial Services)), Kiran Madhusudhanan (Information System and Machine Learning Lab (University of Hildesheim) - Data Analytics Research Center (Volkswagen Financial Services)), Jung Min Choi (Information System and Machine Learning Lab (University of Hildesheim) - Data Analytics Research Center (Volkswagen Financial Services)), Christian Klötergens (Information System and Machine Learning Lab (University of Hildesheim) - Data Analytics Research Center (Volkswagen Financial Services)), Vijaya Yalavarthi (Information System and Machine Learning Lab (University of Hildesheim) - Data Analytics Research Center (Volkswagen Financial Services)), Maximilian Stubbemann (Information System and Machine Learning Lab (University of Hildesheim) - Data Analytics Research Center (Volkswagen Financial Services)), Lars Schmidt-Thieme (Information System and Machine Learning Lab (University of Hildesheim) - Data Analytics Research Center (Volkswagen Financial Services))
151Dual-Modality Latent Gloss Alignment for Gloss-free Sign Language TranslationYunlong Yu (Zhejiang University), Ming Ji (Zhejiang University), Zhao Wang (Zhejiang University), Ziqian Lu (Zhejiang Sci-Tech University)
90EBVC: Electronic Bee Veterinarian – Beyond Monitoring and Onto ControlMst Shamima Hossain (UCR), Meng-Chieh Lee (CMU), Christos Faloutsos (CMU), Boris Baer (UCR), Hyoseung Kim (UCR), Vassilis Tsotras (UCR)
237MUNet: A Multi-Outcome Uplift Network for Modeling Multi-Dimensional Treatment EffectsLudan Zhang (Independent)

Session 6C

DSFA: RAG

Date

June 12, 2026

Time

9:30am-10:55am

Venue

Room 3 (Tai Po I/II Room, 2/F)

Session Chair

Xiao Huang (The Hong Kong Polytechnic University)

Paper IDPaper TitleAuthors
201Cloze Your Gaps: Improving Knowledge Extraction via Query RewritingSanghyeon Cho (Electronics and Telecommunications Research Institute), Myeongjin Lee (Electronics and Telecommunications Research Institute), Jeong Heo (Electronics and Telecommunications Research Institute), Jong-hun Shin (Electronics and Telecommunications Research Institute), Kiyoung Lee (Electronics and Telecommunications Research Institute), Soojong Lim (Electronics and Telecommunications Research Institute)
205AIANO: Enhancing Information Retrieval with AI-Augmented AnnotationSameh Khattab (IKIM), Marie Bauer (IKIM), Lukas Heine (IKIM), Till Rostalski (IKIM), Jens Kleesiek (IKIM), Julian Friedrich (IKIM)
271HyRO:Hybrid Retrieval-Augmented Generation Framework for LLMs Integrating Vector Encoding and Knowledge GraphsWenkai Wu (Hubei University of Technology), Shuo Sheng (Hubei University of Technology), Xun Gan (Hubei University of Technology), Jixin Zhang (Hubei University of Technology)
315Multimodal RAG: Text-Informed Cross-Modal Enhancement for Efficient Local DeploymentChia-Yi Lin (National Taiwan University), Ming-Syan Chen (National Taiwan University)
450Addressing the Counterfactual: Adaptive Batch Size Selection with Causal ModelsShunjian Liu (Sunwoda), Fay Yuan (Sunwoda), Kang Liang (Sunwoda), Junqin Wu (Sunwoda), Xuelian Mao (Chongqing College of International Business and Economics)
482Asymmetric Dynamics Mixup for Robust Neural ODEsBochao Zhang (Deakin University), Manzur Murshed (Deakin University)
759Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video UnderstandingMingyang Mao (University of South Florida), Mariela Perez-Cabarcas (DEVCOM Army Research Laboratory), Utteja Kallakuri (Johns Hopkins University), Nicholas Waytowich (DEVCOM Army Research Laboratory), Xiaomin Lin (Johns Hopkins University), Tinoosh Mohsenin (Johns Hopkin University)
866What Helps---and What Hurts: Bidirectional Explanations for Vision TransformersQin Su (University of Kentucky), Thomas Tie Luo (Department of ECE, University of Kentucky)

Session 6D

DSFA: Graph Neural Network

Date

June 12, 2026

Time

9:30am-10:55am

Venue

Room 4 (Tai Po III/IV Room, 2/F)

Session Chair

Jeffrey Chu (Renmin University of China, China); Vinti Agarwal (Birla Institute of Technology And Science, Pilani India)

Paper IDPaper TitleAuthors
42A temporal graph neural network approach for network attack detectionding hongli (National University of Defense Technology), Liu Bo (Academy of Military Sciences), Ma Xingkong (National University of Defense Technology), Chen Xinyi (National University of Defense Technology), Liu Jiayang (Huazhong University of Science and Technology)
170EmoFSM: A Finite State Machine for Emotional Support ConversationYue Zhao (Geely Group), Qingqing Gu (Geely AI Lab), Xiaoyu Wang (Geely AI Lab), Teng Chen (Geely AI Lab), Hongyan Li (Geely AI Lab), Luo Ji (Geely AI Lab)
173A Novel Attention-Based Approach for Solving the Selective Traveling Salesman ProblemKaitong Zhang (City University of Macau), Jing Sun (City University of Macau), Zhenglai Li (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)
192Enhancing Limit Order Book Modeling through Type-Based RepresentationMingyu Yang (KAIST), Chanyeong Kim (KAIST), Guhyuk Chung (Line Investment), Woo Chang Kim (KAIST)
233Generative Artificial Intelligence for Project Management: A Review of Architectures, Applications, and GovernanceMahfuz Ahmed Anik (Shahjalal University of Science and Technology), Azmine Toushik Wasi (Shahjalal University of Science and Technology), Mohsin Topu (Shahjalal University of Science and Technology), Taki Hasan Rafi (Hanyang University), Dong-Kyu Chae (Hanyang University)
410RHA-Sketch: Mining Time-Decay Heavy Hitters in High-Speed Data StreamsYue Kan (Soochow University), Yang Du (Soochow University), He Huang (Soochow University), Yu-E Sun (Soochow University)
543Learn to Shade: Deep Assumption-Free Modeling for First-Price AuctionsAbhishek Mungoli (Inmobi), Raja Subramaniam (Inmobi), Vishwath Parthasarathy (Inmobi), Jayanta Pal (Inmobi), Narayan Bhamidipati (inmobi)

Session 6E

DSFA: Language Model

Date

June 12, 2026

Time

9:30am-10:55am

Venue

Room 5 (Bauhinia Room, 3/F)

Session Chair

Vinti Agarwal (Birla Institute of Technology And Science, Pilani India)

Paper IDPaper TitleAuthors
218Squeezing the Teacher, Strengthening the Student: Reliable Military RAG with Enhanced ReasoningJeaeun Jang (Hanwha Systems), Hansle Lee (Hanwha Systems), Wonjun Cho (Hanwha Systems), Sangmin Kim (Hanwha Systems)
296PriHA: A RAG-Enhanced LLM Framework for Primary Healthcare Assistant in Hong KongRichard Wai Cheung Chan (The Hong Kong Polytechnic University), Shanru Lin (The Hong Kong Polytechnic University), Ya-nan Ma (Department of Neurosurgery, Haikou Affiliated Hospital of Central South University Xiangya School of Medicine, Haikou), Hao Chen (Department of Clinical Laboratory, Sun Yat-Sen University Cancer Center), Liangjun Jiang (The Hong Kong Polytechnic University), Wenqi FAN (The Hong Kong Polytechnic University)
408Melodic Agent: A Generative Music Recommendation Framework with Large Language ModelsKai Tian (Tsinghua University), Yirong Mao (WeChat, Tencent Inc., Beijing, China), Wendong Bi (WeChat, Tencent Inc., Beijing, China), Hanjie Wang (WeChat, Tencent Inc., Beijing, China), Wenhui Que (WeChat, Tencent Inc., Beijing, China)
525Transferring Physical Priors into Remote Sensing Segmentation via Large Language ModelsYuxi Lu (University of Technology Sydney), Kunqi Li (University of Technology Sydney), Zhidong Li (UTS), Xiaohan Su (University of Technology Sydney), Biao Wu (University of Adelaide), Chenya Huang (The University of Technology Sydney), Bin Liang (UTS)
554PathoLLM: Accurate Endometrial Cancer Subtyping Using Clinically-Aligned Language ModelsYifan Lu (Tongji University), Qian Wang (Shanghai Tenth People’s Hospital of Tongji University), Qinpei Zhao (Tongji University), Xiaojun Chen (Shanghai Tenth People’s Hospital of Tongji University), Weijie Wang (Tongji University), Weixiong Rao (Tongji University)
645FairFinGAN: Fairness-aware Synthetic Financial Data GenerationTai Le Quy (University of Koblenz), Dung Nguyen (HUST), Trung Nguyen (Hanoi University of Science and Technology), Duy Tran (Hanoi University of Science and Technology), Giang Huyen (Banking Academy of Vietnam), Frank Hopfgartner (University of Koblenz)
802Facet-Level Persona Control by Trait-Activated Routing with Contrastive SAE for Role-Playing LLMsWenqiu Tang (Nagoya University), Zhen Wan (Kyoto University), Takahiro Komamizu (Nagoya University), Ichiro Ide (Nagoya University)

Session 7A

Privacy, Security and Robustness

Date

June 12, 2026

Time

2:45pm-3:30pm

Venue

Room 1 (The Riverside Ballroom, 1/F)

Session Chair

Li Tang (Yunnan University, China)

Paper IDPaper TitleAuthors
356Triangle Counting under Edge Relationship Local Differential Privacy: The Case of Restricted Extended Local ViewsXia Wenzheng (Harbin Institute of Technology), Shuangqing Xu (Harbin Institute of Technology, Shenzhen), Yifeng Zheng (The Hong Kong Polytechnic University), Lei Xu (Nanjing University of Science and Technology), Zhongyun Hua (Harbin Institute of Technology, Shenzhen)
506Robust Volume Ratio: A Metric for Fine-Grained Evaluation of Tree Ensemble RobustnessSaori Matsunaga (Mitsubishi Electric Corporation), Genta Yoshimura (Mitsubishi Electric Corporation)
716Differentiable Rendering Powered End-to-End Adversarial Attack EvaluationMansi Phute (Georgia Institute of Technology), Matthew Hull (Georgia Institute of Technology), Haoran Wang (Georgia Institute of Technology), Alec Helbling (Georgia Institute of Technology), ShengYun Peng (Georgia Institute of Technology), Elliott Faa (Georgia Institute of Technology), Willian T. Lunardi (Technology Innovation Institute), Martin Andreoni (Technology Innovation Institute), Wenke Lee (Georgia Institute of Technology), Duen Horng Chau (Georgia Institute of Technology)
794ICR-Net: Robust Deepfake Detection under Temporal CorruptionChan Park (Sungkyunkwan University), Hyeongjun Choi (Sungkyunkwan University), Muhammad Shahid Muneer (Sungkyunkwan University), Binh M. Le (Sungkyunkwan University), Simon Woo (Sungkyunkwan University (SKKU))

Session 7B

Spatio-Temporal Learning

Date

June 12, 2026

Time

2:45pm-3:30pm

Venue

Room 2 (Shatin Room, 1/F)

Session Chair

M S Mekala (Robert Gordon University, UK)

Paper IDPaper TitleAuthors
222CeeDet: A Class-Incremental Learning Method with Early-Exit Mechanism for Malicious Traffic Detection in IIoTJiakun Sun (SUN YAT-SEN UNIVERSITY), Yabo Wang (SUN YAT-SEN UNIVERSITY), Ruizhi Xiao (SUN YAT-SEN UNIVERSITY), Weilong Li (SUN YAT-SEN UNIVERSITY), Shuyuan Jin (SUN YAT-SEN UNIVERSITY)
364Leveraging Variational Information Bottleneck for Fine-grained Urban Traffic Flow InferenceQiang Ai (Qinghai Normal University), Lixin Dong (Qinghai Normal University)
460PMME: Spatio-Temporal Few-shot Learning via Pattern Matching with Memory EnhancementZiyang Ji (University of Auckland), Xiaobin Ren (University of Auckland), Qiqi Wang (Nankai University), Kaiqi Zhao (Harbin Institute of Technology, Shenzhen)
537Recommending under-represented influential researchers using geographically aware contrastive learningArpan Dam (IIT Kharagpur), Sougata Roy (IIT Kharagpur), Sayan Pathak (Microsoft AI and reserach), Bivas Mitra (IIT Kharagpur)

Session 7C

DSFA: Learning for Health

Date

June 12, 2026

Time

2:45pm-3:30pm

Venue

Room 3 (Tai Po I/II Room, 2/F)

Session Chair

Zhiyu Wan (ShanghaiTech University, China)

Paper IDPaper TitleAuthors
12EUR-GAN: Enhanced URes-Net Generative Adversarial Network for CT Image Super-ResolutionYubin Wei (Xiamen University), Xiao Yu (Xiamen University), Jinting Guan (Xiamen University)
146Refining Causal Graphs via LLMs for Medication RecommendationXin Liu (Hunan Normal University), Yu Qiu (Hunan Normal University), Lin Xiao (Hunan Normal University), XiePing Gao (Hunan Normal University)
175Towards A Novel Shapley-Based Framework for Data-Centric Cohort RefinementYueh Tang (University of Cincinnati), Justin Zhan (University of Cincinnati)
388Dynamic Mortality Prediction for Prostate Cancer based on Irregularly Sampled Multimodal EHR and Musculoskeletal Image-based biomarkersEunseon Seong (Hanyang University), Minjee Kim (Ewha Womans University), Dareen Eom (Interdisciplinary Program of Medical Informatics, College of Medicine, Seoul National University), Gyeonghwa Heo (Pusan National University), Urban Emmenegger (Sunnybrook Research Institute, Institute of Medical Science, University of Toronto), Saleh Tabatabaei (Sunnybrook Research Institute, Institute of Biomedical Engineering, University of Toronto), Tayler Declan Ross (Sunnybrook Research Institute, Institute of Medical Science, University of Toronto, Department of Surgery, University of Toronto), Michael Hardisty (Sunnybrook Research Institute, Institute of Biomedical Engineering, University of Toronto, Department of Surgery, University of Toronto)

Session 7D

DSFA: Recommendation

Date

June 12, 2026

Time

2:45pm-3:30pm

Venue

Room 4 (Tai Po III/IV Room, 2/F)

Session Chair

Tai Le Quy (University of Koblenz)

Paper IDPaper TitleAuthors
386Multi-scenario Knowledge-enhanced Latent Intent Modeling for RecommendationQuan Yuan (East China Normal University), Yuxing Zhang (Shanghai Jiao Tong University), Chunchun Chen (Tongji University), Yaxiu Yu (East China Normal University), Xiaoming Ju (East China Normal University)
419Modeling User Preferences as Distributions for Optimal Transport-Based Cross-Domain Recommendation under Non-Overlapping SettingsZiyin Xiao (The University of Tokyo), Toyotaro Suzumura (The University of Tokyo)
606Logits-Aware Rank-and-Reason: Enhancing LLM Reasoning via Preliminary Option Ranking and Cognitive-Specific DemonstrationsSong Qin (Shanghai Polytechnic University), Jianxin Xue (Shanghai Polytechnic University), Feifan Hao (Shanghai Polytechnic University), Sen Niu (Shanghai Polytechnic University), Xi Chang (Shanghai Polytechnic University)
707A Hybrid Recommendation Approach with LLM-Enhanced Features and Heterogeneous Graph Attention NetworkZiliang Deng* (Shenzhen Technology University), Yuanzhe Cai (Shenzhen Technology University)

Session 7E

DSFA: Large Language Model

Date

June 12, 2026

Time

2:45pm-3:30pm

Venue

Room 5 (Bauhinia Room, 3/F)

Session Chair

Xiuling Wang (HKBU, HK)

Paper IDPaper TitleAuthors
395Federated Co-tuning Framework for Large and Small Language ModelsTao Fan (Hong Kong University of Science and Technology), Yan Kang (Webank), GuoQiang Ma (Webank), Lixin Fan (Webank), ShuoLing LIU (Hong Kong University of Science and Technology), Kai Chen (Hong Kong University of Science and Technology), Qiang Yang (Hong Kong Polytechnic University, Hong Kong, China)
584MedGLM: Unifying Graph Neural Networks and Large Language Models for Knowledge Graph-grounded Healthcare PredictionTri Khang Ho (The University of Technology Sydney), Linhao Luo (Monash University), Zihang Liu (Zhejiang University), Haishuai Wang (Zhejiang University), Ling Chen (The University of Technology Sydney)
639Perspective-Insensitive Observation Representation and Role Assignment for MARLWei Xiong (Institute of Software Chinese Academy of Sciences), Tingrui Yang (Institute of Software Chinese Academy of Sciences), Yong Heng (Beijing Institute of Electronic System Engineering), Jiebo Chen (Beijing Institute of Electronic System Engineering), Qian Gao (Beijing Institute of Electronic System Engineering), Shengze Shi (Institute of Software Chinese Academy of Sciences), Tao Ren (Institute of Software Chinese Academy of Sciences)
654Semantic-Driven Object Placement via Multi-modal Large Language ModelsXuzheng Chen (Peking University), Gang Shen (China Tower), Rundong Cao (China Tower), Guojie Song (Peking University)

Session 8A

Few-Shot Learning, Ranking and Human-in-the-Loop

Date

June 12, 2026

Time

3:50pm-5:00pm

Venue

Room 1 (The Riverside Ballroom, 1/F)

Session Chair

Jyoti Prakash Sahoo (Independent Researcher)

Paper IDPaper TitleAuthors
820SAGE: Semantic Alignment and Geometric Enhancement for Efficient Few-Shot Intent DetectionXianyu Guo (South China University of Technology), Jiebin Huang (South China University of Technology), Jindian Su (South China University of Technology)
693ICL-KB: Charting the Failure Frontier of Few-Shot LLMsWenxuan He (China Academy of Railway Sciences), Rui Xue (China Academy of Railway Sciences), Shangyan Jiang (Railway Infrastructure Inspection Center), Peng Dai (China Academy of Railway Sciences)
379A Transductive Model-Agnostic Contrastive Learning Framework for Few-Shot LearningTianyu Kang (University of Massachusetts Boston), Chengjie Zheng (University of Massachusetts Boston), Ping Chen (University of Massachusetts Boston), Wei Ding (University of Massachusetts Boston)
493R^2R: A Route-to-Rerank Post-Training Framework for Multi-Domain Decoder-Only RerankersHanwei Wu (SimpleWay.AI), Qingchen Hu (SimpleWay.AI), Zhenghan Tai (SimpleWay.AI), Jingrui Tian (SimpleWay.AI), Lei Ding (University of Manitoba), Jijun Chi (SimpleWay.AI), Hailin He (SimpleWay.AI), Tung Sum Thomas Kwok (SimpleWay.AI), Yufei Cui (McGill University), Sicheng Lyu (McGill University), Muzhi Li (The Chinese University of Hong Kong), Mingze Li (Université de Montréal), Xinyue Yu (Université de Montréal), Ling Zhou (CG Matrix Technology Limited), Peng Lu (Université de Montréal), Xinyu Wang (McGill University)
616Dodgersort: Uncertainty-Aware VLM-Guided Human-in-the-Loop Pairwise RankingYujin Park (Hanyang University), Haejun Chung (Hanyang University), Ikbeom Jang (Hankuk University of Foreign Studies)
700AISSISTANT: Human-AI Collaborative Review and Perspective Research Workflows in Data ScienceSasi Kiran Gaddipati (Technische Informationsbibliothek (TIB)), Farhana Keya (Leibniz Information Centre for Science and Technology), Gollam Rabby (L3S), Sören Auer (TIB Leibniz Information Centre for Science and Technology)

Session 8B

DSFA: Outlier

Date

June 12, 2026

Time

3:50pm-5:00pm

Venue

Room 2 (Shatin Room, 1/F)

Session Chair

Jicong FAN (The Chinese University of Hong Kong (Shenzhen))

Paper IDPaper TitleAuthors
278Physically Motivated Partial-Spectrum Denoising for Robust Hyperspectral Anomaly DetectionJungkwon Kim (Elroilab), Chi Zhang (Elroilab), Jihun Kim (Elroilab), Jeonghyeon Park (Elroilab), Kwangsun Yoo (Elroilab), Seok-Joo Byun (Elroilab)
385Balancing Knowledge Distillation for Imbalance Learning with Bilevel OptimizationAnh Nguyen Ba Hoang (VNU University of Engineering and Technology, Hanoi), Ba Tho Phan (VNU University of Engineering and Technology, Hanoi), Cuong Ta (VNU University of Engineering and Technology, Hanoi)
429Private Feature Delivery for Fraud Detection using Federated Representation LearningDelton Myalil Antony (TCS Research), Manoj Apte (TCS Research and Innovations, TCS Ltd.), RAJAN M A (Tata Consultancy Services)
567DeSAM: Extracting MITRE Techniques from Cyber Threat Intelligence with Description-Semantic Attention MechanismJingxian Zhou (Civil Aviation University Cf china), Yuxin Xue (Civil Aviation University of China)
868Cloud–Edge Collaborative Anomaly Detection for Water Treatment SystemsZhanglong Yang (University of North Dakota), Qinxuan Shi (University of North Dakota), Sicong Shao (University of North Dakota)
873CONAN: CONcept-oriented ANomaly Detector for Interpretable Zero-Shot DetectionYoonji Lee (Chung-Ang University), Eunju Lee (Chung-Ang University), Junehyoung Kwon (Chung-Ang University), Seunghoo Lee (Chung-Ang University), Kahyun Kim (Chung-Ang University), Seunguk Yu (Chung-Ang University), Youngbin Kim (Chung-Ang University)

Session 8C

DSFA: Graph Learning

Date

June 12, 2026

Time

3:50pm-5:00pm

Venue

Room 3 (Tai Po I/II Room, 2/F)

Session Chair

Longxu Sun (HKBU, HK)

Paper IDPaper TitleAuthors
104GPAT: Graph Prompt and Adapter Tuning for Graph Transfer LearningYing Wang (Jilin University), Yongjun Fan (Jilin University)
113GNNeF: Enhanced GNN PDE Solver with Embedded FNOJiyan Qiu (Computer Network Information Center, Chinese Academy of Sciences), Jian Zhang (Computer Network Information Center, Chinese Academy of Sciences), Yuan Wu (Computer Network Information Center, Chinese Academy of Sciences), Xuebin Chi (Computer Network Information Center, Chinese Academy of Sciences)
475A Spectral gap-guided Eulerian Graph Rewiring Method for Heterogeneous Graph EmbeddingJiaqi Zhao (Yunnan University), Hongmei Chen (Yunnan University), Peizhong Yang (Yunnan University), Wang Lizhen (Yunnan University)
603EPLKG: Efficient Prompt Learning with Knowledge GraphYongtaek Lim (DATUMO), Suho Kang (Yonsei University), Yewon Kim (Agency for Defense Development), Dokyung Youn (university of seoul), Jiyoung Jung (University of Seoul), Kyungwoo Song (Yonsei University)
699KMM: Learnable Dual-Stream Time Encoding for Continuous-Time Dynamic GraphsPeeradon Sarnkaew (Chulalongkorn University), Ploy Pratanwanich (Chulalongkorn University), Natthawut Kertkeidkachorn (Japan Advanced Institute of Science and Technology (JAIST)), Xin Liu (National Institute of Advanced Industrial Science and Technology (AIST))
860SERA-ICD: Semantic-Enhanced Representation Architecture for Automatic ICD Coding via Hyperbolic Graph Neural NetworksPritish Patel (Munster Technological University, Cork), Mohammed Hasanuzzaman (Queen's University Belfast, Belfast)

Session 8D

DSFA: Social Network

Date

June 12, 2026

Time

3:50pm-5:00pm

Venue

Room 4 (Tai Po III/IV Room, 2/F)

Session Chair

Xiuling Wang (HKBU, HK)

Paper IDPaper TitleAuthors
189Graph Neural Networks in EEG-based Emotion Recognition: A SurveyChenyu Liu (Nanyang Technological University), Yuqiu Deng (Beijing University of Posts and Telecommunications), Yihao Wu (Nanyang Technological University), RUIZHI YANG (Imperial College London), Zhongruo Wang (Amazon), Liangwei Zhang (Carnegie Mellon University), Siyun Chen (Peking University), Tianyi Zhang (Peking University), Yang Liu (Nanyang Technology University, Singapore), Yi Ding (Nanyang Technological University), Liming Zhai (Wuhan University), Ziyu Jia (Institute of Automation of Chinese Academy of Sciences), XINLIANG ZHOU (Nanyang Technological University)
275Fair Adaptive Influence Maximization in Social NetworksYi Zhou (East China Normal University), Wenyue Ma (Aarhus University), Yanhao Wang (East China Normal University), Yuchen Li (Singapore Management University), Panagiotis Karras (University of Copenhagen)
498Domain-Informed Attention Pooling: Abundance-Aware Set Transformers for Robust Representation LearningHyunwoo Yoo (Drexel University), Mohammad Saleh Refahi (Drexel University), Gail Rosen (Drexel University)
609Table-Aware Group Relative Policy Optimization: Reward Design for Large Vision–Language ModelsJiyoon Lee (Sugnkyunkwan University), Hwangseon Park (Sugnkyunkwan University), Hayoung Oh (Sugnkyunkwan University)
719From Moderation to Mediation: Can LLMs Serve as Mediators in Online Flame Wars?Dawei Li (Arizona State University), Abdullah Alnaibari (Arizona State University), Arslan Bisharat (Loyola University Chicago), Manuel Sandoval Madrigal (Loyola University Chicago), Deborah Hall (Arizona State University), Yasin Silva (Loyola University Chicago), Huan Liu (Arizona State University)
864Approximately Bisubmodular Regret Minimization in Billboard and Social Media AdvertisingDildar Ali (Indian Institute of Technology Jammu), Suman Banerjee (IIT Jammu), Yamuna Prasad (IIT Jammu)

Session 8E

DSFA: Machine Learning Applications

Date

June 12, 2026

Time

3:50pm-5:00pm

Venue

Room 5 (Bauhinia Room, 3/F)

Session Chair

Ngo-Ho Anh-Khoi (Nam Can Tho University, Vietnam)

Paper IDPaper TitleAuthors
272RocketFormer: Robust Cryptocurrency Trend Classification under Extreme Market ConditionsGuanqiu Zhao (Beihang University), Duan Tiantian (Institute of computing technology), Hanwen Zhang (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Yi Sun (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences.)
310FACTOR: Financial Analysis and Consistency-Testing Oriented RepresentationDongqing Li (ShenZhen University), Shubin Cai (Shenzhen University)
425TAPE: Trend-Aware Perturbation Enhancement for Sparse Stepwise Non-Stationary Time SeriesShengnan Di (University of Technology Sydney), Zhidong Li (UTS), Fang Chen (UTS), Bin Liang (UTS)
556Efficient Choice-Based Facility Location: A Hybrid AHP/DEA-Greedy ApproachZhantu Zhao (Xi'an Jiaotong-Liverpool University), Xiangqian Sun (Xi'an Jiaotong-Liverpool University)
704A Data-Driven Approach for Discovering Pure Clusters in Complex Multi-Source Terrestrial SoundscapesThomas Napier (James Cook University), Euijoon Ahn (James Cook University), Ickjai Lee (James Cook University, Australia)
867Adaptive PII Detection via Evolutionary Orchestration and Multi-Agent DebateGeonwoo Bang (Sungkyunkwan University), Dongho Kim (Sungkyunkwan University), Damin Kim (Sungkyunkwan University), Moohong Min (Sungkyunkwan University)