Detailed Sessions

IEEE ICDM 2026 · November 13-15, 2026 · Shenyang, China

All times are China Standard Time (UTC+8).

34 paper sessions20 long · 14 short340 papers

Long presentations12 min presentation + 3 min Q&A/transition

Short presentations7 min presentation + 3 min Q&A/transition

Select a session to view its paper schedule, titles and authors.

Browse by day: November 13 · November 14 · November 15. Select a session to open its paper schedule.

Main Day 1

Friday, November 13, 2026

19 sessions · 187 papers

L1 Machine learning and statistical methods 13:30-15:30Room: Grand Ballroom 1Session Chair: TBD Research TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L1 — Machine learning and statistical methods · Main Day 1 — Friday, November 13, 2026 · Grand Ballroom 1
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM1072	PaSta: Noisy Node Classification with Partial Label Learning	Yujing Liu; Yixin Liu; Yu Zheng; Yue Tan; Alan Wee-Chung Liew; Shirui Pan
13:45-14:00	DM1278	Geometry-Aware Bayesian Parameter-Efficient Fine-Tuning on the Stiefel Manifold via Stein Variational Gradient Descent	Quang-Duy Tran; Trung Le; Bao Duong; Phuoc Nguyen; Thin Nguyen
14:00-14:15	DM1319	FFE-FRCN: A Frequency Feature Enhanced Few-shot Learning Approach for Object Detection in Microscopic Images	Jianbo Zhu; Zihan Li; Marcin Grzegorzek; Chen Li
14:15-14:30	DM1438	Escaping the Mirror Trap: Parity-Harmonized Flow Matching on Riemannian Manifolds for Peptide Design	Suyang Zhou; Hechuan Zhang; Li Sun; Yutong Ye; Philip S. Yu; Mingsong Chen
14:30-14:45	DM1815	Learning Task-Conditioned Distributional Initializers for Variational Quantum Algorithms	Hea Eun Lee; Jangho Kim
14:45-15:00	DM1964	Local Density-Refined Granular Ball-Based Label Augmentation for Crowdsourcing	Yongqi Li; Huan Zhang; Yongping Zeng; Chang Liu; Pei Lv; Mingliang Xu
15:00-15:15	DM1989	Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack	Zhibo Jin; Jiayu Zhang; Zhiyu Zhu; Chenyu Zhang; Hongyang Chen; Jianlong Zhou; Fang Chen
15:15-15:30	DM2140	Reliability-Guided Pseudo-Label Learning and Prototype Alignment for Domain-Adaptive Colorectal Segmentation	Yu Miao; Lusha Qi; Yuanqian Zhu; Juanjuan Zhao; Songhua Liu

L2 Heterogeneous data mining: multimodal and temporal learning 13:30-15:30Room: Grand Ballroom 2Session Chair: TBD Research TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L2 — Heterogeneous data mining: multimodal and temporal learning · Main Day 1 — Friday, November 13, 2026 · Grand Ballroom 2
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM909	ECMSA: Entropy-Constrained Dual Alignment for Multimodal Sentiment Analysis	Nankai Lin; Xining Yang; Bowen Ruan; Hongyan Wu; Lianxi Wang; Xinfeng Liao; Shengyi Jiang
13:45-14:00	DM935	PASTDD:Periodic-Aperiodic Spatial-Temporal Dependency Disentangling for Traffic Forecasting	Qian Chu; Chi Jin; Feng Wang; Yuling Huang; Yi Zhang; Yifan Sun
14:00-14:15	DM577	Bayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement	Keito Inoshita; Takato Ueno
14:15-14:30	DM1718	PGMNER: Polarization-Guided Multimodal Named Entity Recognition with Partial Optimal Transport	Yixiao Jiang; Yongxiu Xu; Feiyu Han; Jian Tang; Zhaoqi Zhou; Ji Zhang; Chuan Zhou
14:30-14:45	DM1760	SHAPE: Shift-Aware Preference Alignment for Probabilistic Time Series Forecasting	Xiaoyang Li; Wei Emma Zhang; Guodong Long; Hua Wang; Quan Z. Sheng
14:45-15:00	DM1770	DACNet: Distilled and Aligned Cyclemap Network for Efficient Time Series Forecasting	Liang Yu; Mingzhe Qian; Jinhe Li; Lai Tu; Tao Wu
15:00-15:15	DM1944	Polarity-Asymmetric Structural Calibration for Link Sign Prediction	Qiqi Gao; Wenzhuo Song; Xueyan Liu
15:15-15:30	DM1955	HOPE: Heterophily-Aware Open-Set Node Classification with Pseudo-Extrapolation	Yumeng Dai; Yue Tan; Yixin Liu; Chenxu Wang; Pinghui Wang; Tao Qin

L3 Foundations, graphs and learning methods 13:30-15:30Room: ParisSession Chair: TBD Research TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L3 — Foundations, graphs and learning methods · Main Day 1 — Friday, November 13, 2026 · Paris
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM1553	Prototype-Constrained Imputation with Dual Contrastive Learning for Incomplete Multi-View Clustering	Rui Liu; Siyuan Peng
13:45-14:00	DM1125	Unsupervised Multi-Scale Gromov-Wasserstein Hypergraph Alignment	Lutz Oettershagen; Honglian Wang; Aristides Gionis
14:00-14:15	DM1549	ProIQA: A Process-Based Framework for Fine-Grained Math Item Quality Assessment	Junkai Tong; Mingjia Li; Haoran Chen; Yaoyu Jiang; Hanjie Ge; Yixuan Wang; Hong Qian
14:15-14:30	DM435	Preference-Constrained Contrastive Adapters for LLM-based Dynamic Link Prediction	Xiawei Yue; Jiayi Luo; Yuexin Duan; Di Kong; Yufei Sun; Ran Zhang; Kehan Yang; Xiao Wang; Ziwei Zhang
14:30-14:45	DM954	TSMini: A Simple Yet Highly Effective Trajectory Similarity Learning Model	Yanchuan Chang; Dingyang Lyu; Xu Cai; Christian S. Jensen; Jianzhong Qi
14:45-15:00	DM1160	RECOS: Scalable Exact Simplet-Orbit Counting for Higher-Order Networks	Vladimir Novikov; Viktor Krivoshchekov; Mark Beliaev; Oleg Kachan
15:00-15:15	DM1767	Lightweight Out-of-Distribution ANNS via LeanVec-Guided Subspace Collision	Feiyu Han; Chuan Zhou; Xinran Ma; Jian Tang; Yixiao Jiang; Zhaoqi Zhou; Zhiming Ma
15:15-15:30	DM1279	HyperGT: Efficient and Effective Graph Transformer via Multi-View Fusion of Super-Nodes	Xinzhi Zou; Yu Gu; Zhigang Wang; Zhenghao Liu; Fangfang Li; Xiaohua Li; Ge Yu

L4 Heterogeneous data mining: spatiotemporal and representation learning 13:30-15:30Room: LondonSession Chair: TBD Research TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L4 — Heterogeneous data mining: spatiotemporal and representation learning · Main Day 1 — Friday, November 13, 2026 · London
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM326	GCDE:Understanding Group Cognition through Explainable Diffusion-Based Diagnosis Model	Lu Jiang; He Zhang; Sizhen Bian; Siyu Yuan; Wenjuan Cui; Pengfei Wang; Yanjie Fu
13:45-14:00	DM347	A Spatial-Temporal Distribution Shift Aware Mixture-of-Experts Model for Urban Atmospheric Forecasting	Lu Jiang; Jinhao Fu; Runchang Liang; Xuan Liu; Yanan Xiao; Yuanbo Xu; Wenjuan Cui; Pengyang Wang
14:00-14:15	DM504	DKERC: Entropy-driven and Signed Dynamic Knowledge Selection Framework for Emotion Recognition in Conversation	Mingzhu Chang; Xiaoqin Xie; Shuai Han; Huanran Wang; Wei Wang; Wu Yang
14:15-14:30	DM901	PriMoTraj: Motion-Prior Gating for Lightweight GPS-Derived Trajectory Forecasting	En Chen; Yuanbo Xu; Yang Li; Weitong Chen
14:30-14:45	DM1225	Optimal Long-distance Route Query for Electric Vehicles	Jialong Zhang; Mengxiang Wang; Huaijie Zhu; Wei Liu; Jianxing Yu; Jian Yin
14:45-15:00	DM1228	SatGuide: A POI-Anchored Vision-Language Learning Framework for Robust Satellite Images-based Urban Socioeconomic Prediction	Tianyang Guo; Yuanbo Xu; Wenbin Liu; Jiawei Liu; Lu Jiang; Pengyang Wang; Pengfei Wang
15:00-15:15	DM1755	Temporal Heterogeneous Graph Tokenization	Tingting Wang; Feng Ding; Yingzhou Li; Shuo Yu; Xiang Zhou; Ruolin Li; Xin Ye
15:15-15:30	DM1189	Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation	Zhiyang Zhang; Ningcong Chen; Xin Zhang; Yanhua Li; Shen Su; Hui Lu; Jun Luo

L5 Recommendation and forecasting 13:30-15:30Room: BeijingSession Chair: TBD Research TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L5 — Recommendation and forecasting · Main Day 1 — Friday, November 13, 2026 · Beijing
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM266	An Efficient and Effective Agentic Group Shilling Attack on Recommender Systems	Viet Nguyen; Trinh Pham; Viet Huynh; Hongzhi Yin; Quoc Viet Hung Nguyen; Bay Vo; Thanh Tam Nguyen
13:45-14:00	DM813	PatchRAFT: Patch-Level Selective Retrieval-Augmented Forecasting for Time Series	Kang-Qiang Chen; Yu-Jia Hai; Ling Huang; Yuefang Gao; Pei-Yuan Lai; Zhenyu Yang
14:00-14:15	DM1048	User Representation via Cross Multi-source Behavior Pre-training for Mobile Games	Chengqi Yang; Yiran Qiao; Feng Liu; Xingyu Lou; Zijun Zhou; Xiaoyun Mo; Changwang Zhang; Jiayuan Xu; Jun Wang; Xiang Ao
14:15-14:30	DM1412	EviRank: Evidence-Grounded Reviewer Recommendation via Dynamic Query-Specific Profiles	xie xinqiang; xu hongwei; sun yatong; zhang wenlong
14:30-14:45	DM1980	Retrieval-Augmented Preference Flow for Cold-Start Cross-Domain Recommendation	Wen Wen; Shaojie Min; Roy Ka-Wei Lee; Yupeng Li; Qingyuan Gong; Xin Wang; Yang Chen
14:45-15:00	DM2082	Theoretically Sound Item Similarity Measures for Recommender Systems	Noah Daniëls; Joey De Pauw; Bart Goethals
15:00-15:15	DM410	Controllable Generative Recommendation via Guided Token Refinement	Haichao Zhang; Zhixuan Liang; Chong Zhang; Zixi Chen; Wen Wang; Jia Wang
15:15-15:30	DM680	Explain, Then Forget: Recommendation Unlearning under Asymmetric Access Constraint	Haichao Zhang; Chong Zhang; Wen Wang; Shi Qiu; Peiyu Hu; Jia Wang

L6 Heterogeneous data mining and systems 13:30-15:30Room: MadridSession Chair: TBD Research TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L6 — Heterogeneous data mining and systems · Main Day 1 — Friday, November 13, 2026 · Madrid
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM1201	FedLoSD: Federated Log-State Dynamics for Nonnegative Distributed Time-Series Forecasting	Bo Pang; Di Zhao; Tingrui Qiao; Yuzhuo Li; Ramasamy Savitha; Albert Bifet; Yun Sing Koh
13:45-14:00	DM1314	Is Text Always Helping? A Systematic Evaluation and Enhanced Fusion Strategy for Multimodal Time Series Forecasting	Xinyu Xie; Jiaxiang Li; Jiayi Liang; Xiaoling Wang; Yuanbin Wu
14:00-14:15	DM1402	Decoupling Knowledge from Poison: FedRHD for Robust Federated Learning under Extreme Data Heterogeneity	Wei Wei; Qipeng Song; Yue Li
14:15-14:30	DM1437	Divide and Conquer: Federated Prompt Learning via Dual-Stream Prompts for Vision-Language Models	Lingyu Qiu; Daniela Annunziata; Stefano Izzo; Fabio Giampaolo; Francesco Piccialli
14:30-14:45	DM1672	LAPT: Lineage-aware Dynamic Community Detection via Adaptive Prototype Transport	Limengzi Yuan; Xiangmin Zhou; Yurong Cheng; Binbin Zheng; Zahir Tari
14:45-15:00	DM1822	Not All Clients Value the Same Meta-Path: Schema-Decoupled Federated Heterogeneous Graph Completion	Zhuoyang Han; Junxiang Zhang; Ying Jin; Guantao Tang; Tingting Wang; Tao Tang; Yicong Li; Shan Jin; Guoxin Zhong; Shuo Yu; Feng Ding
15:00-15:15	DM1882	Spatiotemporal Brain Hypergraph Contrastive Learning	Shan Jin; Jialing Xu; Anni Chen; Yicong Li; Tingting Wang; Shuo Yu; Qiang Zhang; Feng Xia
15:15-15:30	DM2002	HiMamba: A Hierarchical State Space Framework for Asymmetric Multimodal Data Mining in Clinical Assessment	Biandi Cheng; Peng Wang; Hui Cui; Ping Xuan; Cong Cong; Ran Su; Leyi Wei; Qiangguo Jin; Fei Guo; Yupin Chen

L7 LLM-driven data mining and retrieval I 13:30-15:30Room: Kuala LumpurSession Chair: TBD Research TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L7 — LLM-driven data mining and retrieval I · Main Day 1 — Friday, November 13, 2026 · Kuala Lumpur
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM1214	Motif-derived Decoupled Graph Clustering with Multi-task Self-supervised Prompt	Guang-Yu Zhang; Yan-Chun Huang; Zi-Xin Mo; Hai-Yan Wang; Dong Huang; Chang-Dong Wang
13:45-14:00	DM736	From Natural-Language Hypotheses to Verified Data-Mining Discoveries	Phat Tran-Truong Tuan; Sơn Hà Xuân; Tung Nguyen Quang; Bach Le-Xuan
14:00-14:15	DM1516	When Code Meets Language: Efficient Binary Routing for Heterogeneous Solver Modalities	Yiming Lei; Yang Bin; Xikuan Yuan; Jiake Ge; Xin Wang
14:15-14:30	DM924	MULM: Multilingual LoRA Backdoor Defense via Multi-View Drift Mining	Lianxi Wang; Yuying Li; Chao Liang; Jiahuan Yang; Xinfeng Liao; Nankai Lin
14:30-14:45	DM1060	Provably Feasible LLM Decoding for Combinatorial Optimization	Yang Liu; Chuan Zhou; Yancheng Chen; Shuai Zhang; Xixun Lin; Xiaoqing Wang
14:45-15:00	DM1409	Denoising-Aware Inversion: Revealing Privacy Risks in Noise-Protected Text Embeddings	Yubo Wang; Shujie Cui; James Bailey; Hongzhi Yin; Wenyu Liang; Min Tang; Shiyue Qin; Weiqing Wang
15:00-15:15	DM1860	Physics Simulation on General Geometries via Physical Partitioning and Laplacian Spectral Modeling	Shihang Li; Zhiqiang Gong; Tao Zhou; Yue Gao; Wen Yao
15:15-15:30	DM1659	UBA-ORL: Unlearning-Activated Backdoor Attacks on Offline Reinforcement Learning	Fengyi Wang; Cong Li; Lulu Xue; Qiyu Leng; Ziqi Zhou; Peijin Guo

L8 Applied Track: Sustainability, society and public services 13:30-15:30Room: SeoulSession Chair: TBD Applied TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L8 — Applied Track: Sustainability, society and public services · Main Day 1 — Friday, November 13, 2026 · Seoul
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM280	ExpEva-FCHD: Expert-Diagnostic-Data-Grounded LLM Assistance for Fetal Congenital Heart Disease Screening in Low-Resource Care	Runze Liu; Yingying Zhang; Yiting Zhao; Hao Sheng; Jingyi Wang; Xiaoyan Gu; Jiancheng Han; Jia Gu; Shuo Zhang; Yihua He; Haogang Zhu
13:45-14:00	DM1595	Carbon-Credit Methodology Selection as Retrieval-as-Classification: Evaluating General-Purpose Language Models in a Registry Document Corpus	Jaewoong Lee; Yeji Kim; Jiyong Eom
14:00-14:15	DM1602	From Permutations to Plans: A Controlled Study of Supervised Construction for Fleet-Constrained Vehicle Routing	Daniela Thyssens; Jonas Falkner; Tom Hanika; Lars Schmidt-Thieme
14:15-14:30	DM1613	Dual-Branch Synergistic Learning for Coordinated Action Quality Assessment in Pair Skating	Siyuan Yin; Menglin Wang; Bin Zhao; Qing Peng; Yanda Wang
14:30-14:45	DM1619	Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains	Yumeng Lin; Dong Li; Xintao Wu; Minglai Shao; Xingcheng Fu; Xujiang Zhao; Zhong Chen; Chen Zhao
14:45-15:00	DM1719	LLM-Empowered Urban Employee Pension Fund Actuarial Analysis: Evidence from Province A	Haitao Zhou; Zhenfeng Yang; Xinyu Zhuang; Jinpeng Deng; Ming Jiang; Yucen Gao
15:00-15:15	DM1774	Cross-Basin Flood Forecasting under Asymmetric Data: From Labeled Gauges to Label-Free Deployment	Yunfei Li; Zhenzhou He; Yunze Zhu; Daqi Kong; Rui Zhou; Jun Wang; Yifan Chen; Yuchang Mo; Jin Wei
15:15-15:30	DM1883	UE-E2V: A Dataset Toward Early Violence Recognition in School Environments	Khanh Ngo; Nha Tran; Diem Duong; Nhan Phung; Phi Ta; Tai Huynh; Hung Nguyen; Vinh Le; T. Vuong Pham; D. Hien Nguyen

L9 Applied Track: Recommendation, security and operational intelligence I 13:30-15:30Room: RomeSession Chair: TBD Applied TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L9 — Applied Track: Recommendation, security and operational intelligence I · Main Day 1 — Friday, November 13, 2026 · Rome
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM1927	Multi-View Self-Consistency Decoding for Ancient Stele Inscriptions OCR	Wenjie Hou; Jipeng Qiang; Yi Zhu; Yunhao Yuan; Xiaoyu Wang; Kaixun Hua
13:45-14:00	DM286	Enhancing Group Recommendation with Memory-Augmented Reasoning in LLM Agent	Qimeng Niu; Bowen Hao; Zixuan Zhang; Shuyu Qu; Hongzhi Yin
14:00-14:15	DM2134	Motivation-Driven Multi-Persona Agentic Simulation for Livestreaming Sales Forecasting	Hongyan Xue; Xiang Ao; Hao Qin; Qing He
14:15-14:30	DM2139	Exploring Weaknesses of Generative Image Watermarks against Latent Frequency Masking	Kirill Aistov; Khaled Abud; Irina Serzhenko; Egor Kovalev; Aleksey Yakushev; Aleksandr Akimenkov; Dmitry Obydenkov; Yury Markin; Sergey Lavrushkin; Dmitriy Vatolin; Anastasia Antsiferova
14:30-14:45	DM2207	Hierarchical Exponential-Gaussian Mixtures for Watch-Time Distribution Prediction	Sofia Gulevskaia; Mikhail Trapeznikov; Aleksandr Poslavsky; Alexander D'yakonov
14:45-15:00	DM744	Membership is Ownership: A Robust Ownership Verification Framework for Diffusion Models	Feng Jiang; Zuobin Xiong; An Huang; Zhipeng Cai; Yingshu Li
15:00-15:15	DM1015	KMER: A Heterogeneous Multimodal Benchmark for Knowledge-Conditioned Educational Reasoning	Quanlong Guan; Xiuliang Duan; Shoufu Zheng; Zhijian Yin; Jianbo Huang; Xiujie Huang; Yuyu Zhou; Liangda Fang
15:15-15:30	DM1180	The Held-Out Season Is Not Enough: Auditing Player-Identity Leakage in Team-Performance Benchmarks	Suan Lee; Wookey Lee

L10 Applied Track: Healthcare, multimodal sensing and security 13:30-15:30Room: Berlin 2Session Chair: TBD Applied TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L10 — Applied Track: Healthcare, multimodal sensing and security · Main Day 1 — Friday, November 13, 2026 · Berlin 2
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM336	CP-Network: Content-Preserving Style Transfer for Diverse Medical Images with Dynamic Weights	Wei Li; Pingping Tao; Kai Jin; Hui Yang; Yinghui Wang; Jipeng Qiang; Jiaxing Shen
13:45-14:00	DM346	Posterior Traffic State Mining for Latency-Sensitive Task Offloading in Computing Power Network	Shangyang Wu; Zhichao Chen; Xingwei Wang; Yuhai Zhao; Bo Yi; Qiang He; Yingyou Wen
14:00-14:15	DM734	Beyond Visual Encoder Fine-tuning: A Generalizable Data Mining Paradigm for Multimodal Chinese Cued Speech Recognition	ling feng; Bu Zhong; Jianglun Wu; Liu Li; Francis Chi Moon Lau; Donglong Chen; Yupeng Li
14:15-14:30	DM773	FreshRetailNet-LT: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh Retail	Yangyang Wang; Jiawei Gu; Haoran Li; Li Long; Xin Li; Li Shen; Zhouyu Fu; Xiangjun Zhou; Xu Jiang
14:30-14:45	DM790	PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection	Xiaocheng Fang; Jiarui Jin; Haoyu Wang; Che Liu; Jieyi Cai; Yujie Xiao; Guangkun Nie; Bo Liu; Shun Huang; Hongyan Li; Shenda Hong
14:45-15:00	DM835	In-Hospital Stroke Risk-State Classification from PPG-Derived Hemodynamic Features	Jiaming Liu; Cheng Ding; Jian Wu; Hongxia Xu; Daoqiang Zhang
15:00-15:15	DM996	Sheaf-PAFPN: Vector-Valued Sheaf Theory for Robust Sonar Target Detection	Xin Zhou; Shangfang Yu; Luming Li; Bo Ning
15:15-15:30	DM1477	FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming	Dae-Young Park; Chaeyun Kim; Junghwan Kim; Jinyoung Jeong; Eunji Song; YongTaek Lim; Minwoo Kim

S1 Foundations, anomaly detection and graph methods 15:50-18:00Room: VIP Room 1Session Chair: TBD Research TrackShort · 12 papers

Short Presentation (12 papers) · 7 min presentation + 3 min Q&A/transition

S1 — Foundations, anomaly detection and graph methods · Main Day 1 — Friday, November 13, 2026 · VIP Room 1
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM230	Theoretical Grounds for Popularity Bias in Two-Tower Models Trained with Cosine-Based Loss	Andrey Atamanyuk
16:00-16:10	DM334	Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data	Lamine DIOP; Marc PLANTEVIT
16:10-16:20	DM829	When Marginals Do Not Change: Sparse Signed-Kernel Detection for Hidden Dependence Anomalies	Bilong Wang; Xu Song; Xuechao Zhou; Zewen Lv
16:20-16:30	DM953	Isolation-based Spherical Ensemble Representations for Tabular Anomaly Detection	Yang Cao; Sikun Yang; Hao Tian; Kai He; Lianyong Qi; Ming Liu; Yujiu Yang; Hong-Kun Zhang
16:30-16:40	DM1157	Deep Synchronisation-based Clustering	Lena G. M. Bauer; Peter Salah; Pascal Weber; Anna Beer; Christian Böhm; Yllka Velaj; Claudia Plant
16:40-16:50	DM1188	Scalable Density-based Clustering via Density-aware Propagation on Approximate kNN Graphs	Yingtao Zheng; Hugo Phibbs; Ninh Pham
16:50-17:00	DM1271	Large-Scale Bayesian Tensor Reconstruction via Approximate Message Passing	Bingyang Cheng; Zhongtao Chen; Yichen Jin; Hao Zhang; Chen Zhang; Edmund Yin Mun Lam; Yik-Chung Wu
17:00-17:10	DM1734	HiPACC Tree: A Probabilistic Approach for Hierarchical Quantification	José Gilberto Barbosa de Medeiros Júnior; Rafael da Costa Silva; Ricardo Cerri; Gustavo Batista; Diego Furtado Silva
17:10-17:20	DM1825	Adaptive Multi-Branching for Shallow Decision Tree Induction	Hanul Park; Jeonghoon Choi; Juseong Kim; Sanghun Sel; Giltae Song
17:20-17:30	DM750	VulRel-RGCN: Vulnerability-Relation-Aware Graph Neural Network for Cross-Dataset Reentrancy Detection in Smart Contracts	Jinbo Song; Kun Hao; Shijie Chai
17:30-17:40	DM1789	RT-GNN: A Graph Neural Network based on Node Risk-awareness and Transfer Strategies	Longjie Li; Ni Wang; Bowen Zhang; Buyu Wang; Jianjun Cheng
17:40-17:50	DM495	Poisson-Gamma Dynamical Systems with Time-varying Transition Dynamics	Jiahao Wang; Yijun Wang; Nan Fang; Sikun Yang

S2 Foundations, ML/DL and statistical methods 15:50-18:00Room: ParisSession Chair: TBD Research TrackShort · 12 papers

Short Presentation (12 papers) · 7 min presentation + 3 min Q&A/transition

S2 — Foundations, ML/DL and statistical methods · Main Day 1 — Friday, November 13, 2026 · Paris
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM374	Solving Maximum Strong Triadic Closure and Cluster Deletion by Integer Programming	Andrea D’Ascenzo; Fabrizio Rossi; Stefano Smriglio
16:00-16:10	DM437	Mining Input-Inherent Context: A Parameter-Free Kernel Attention Mechanism for CNNs	Yile Chen; Zeyuan Lin; Yawen Chen; Jian Chen; Zeyi Wen; Jin Huang
16:10-16:20	DM657	Graph-Coupled Causal Bayesian Optimization	Mohammad Ali Javidian
16:20-16:30	DM828	One-versus-rest Worker Modeling-based Label Completion for Crowdsourcing	Chengjun Wang; Boyi Yang; Liangxiao Jiang; Shanshan Si
16:30-16:40	DM1486	Sliding Window Attention Training for Efficient Large Language Models	Zichuan Fu; Guojing Li; Yejing Wang; Xian Wu; Yefeng Zheng; Yingying Zhang; Derong Xu; Xuetao Wei; Tong Xu; Xiangyu Zhao
16:40-16:50	DM1850	Structural Conditional Independence Test via Neural Quantile Resolution	Khoa Nguyen; Bao Duong; Thin Nguyen
16:50-17:00	DM2063	OTDE: Optimal Transport-Based Distance Estimation for High-Dimensional Approximate Nearest Neighbor Search	Xinran Ma; Chuan Zhou; Feiyu Han; Zhaoqi Zhou; Guoliang Li; Zhiming Ma
17:00-17:10	DM2095	Rethinking Impurity Measures: Curvature as the Hidden Driver of Split Selection in Streaming Decision Trees	Maciej Jaworski; Leszek Rutkowski; Piotr Duda
17:10-17:20	DM1154	Learning Sparse Decision Trees via Transformer Variational Auto-Encoders	Giacomo Fidone; Alessio Cascione; Riccardo Guidotti
17:20-17:30	DM1328	Interval-valued SHAP in Tree-Based Models	Chenrui Zhu; Vu-Linh Nguyen; Marie-Hélene Masson; Sébastien Destercke
17:30-17:40	DM1428	Entropic Flow Network for Bayesian Network Structure Learning	Jiahui Wang; Mingheng Jiao; Linchao Zhao; Kun Yue
17:40-17:50	DM408	FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation	Runze Li; Hanchen Wang; Wenjie Zhang; Binghao Li; Yu Zhang; Xuemin Lin; Ying Zhang

S3 Heterogeneous data mining and multimodal learning I 15:50-18:00Room: LondonSession Chair: TBD Research TrackShort · 12 papers

Short Presentation (12 papers) · 7 min presentation + 3 min Q&A/transition

S3 — Heterogeneous data mining and multimodal learning I · Main Day 1 — Friday, November 13, 2026 · London
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM709	Multi-Table Entity Matching via LLM-Synthesized Supervision and Semantic-Aware Scheduler	Jiaxiang Chen; Derong Shen; Wenzhou Dou; Hang Cui
16:00-16:10	DM1080	MAB-LDA: Multi-Armed Bandit Guided Gibbs Sampling for Unsupervised Aspect Discovery	Siu Hin Ng; Yung-Chun Chang; Chao-Lin Liu; Wei-Yun Ma; Wen-Lian Hsu
16:10-16:20	DM1492	Collapse-Aware Dynamic Adversarial Domain Adaptation for Cross-City Spatiotemporal Prediction	HaoZhe Yu; SiRui Feng; KeShi Gong; ZiHao Yang; YiYing LI; Hongting Niu
16:20-16:30	DM492	Toward Multimodal Graph foundation model：a spectral based approach	Zhengyu Wu; Xu Wang; Hongchao Qin; Xunkai Li; Guang Zeng; Rong-Hua Li; Guoren Wang
16:30-16:40	DM770	HARLM: Heterogeneous Association-aware and Reinforcement Learning for Multiplex Influence Maximization	Dongming Chen; Jiaping Si; Xin Zou; Dongqi Wang
16:40-16:50	DM444	From Discrete Waypoints to Continuous Coordination: Spatio-Temporal Trajectory Mining for Multi-Agent Cooperative Pursuit	Mai-Kao Lu; Yutong Liu; linghe kong; Guihai Chen
16:50-17:00	DM786	Reliability-aware Robust Fine-Grained Cross-Modal Semantic Correlation Mining and Representation Learning under Noisy Correspondence	Yuxuan Li; Meiyu Liang; Yawen Li; Zhe Xue; Guanhua Ye; Peining Li; Kangkang Lu
17:00-17:10	DM803	Graph-Guided LLM Reasoning for Incident Prediction Over Multi-Source Data Streams	Xiyu Qiao; Xiangmin Zhou; Wenzhou Dou; Hua Wang; Yanchun Zhang; Zahir Tari
17:10-17:20	DM1629	GRASP: Authority-Grounded Structural Mining for LLM Reasoning over a Cybersecurity HIN	Zijing Xu; Tiancheng Hu; Yangyang Wang; Jiahao Cao; Mingwei Xu
17:20-17:30	DM400	BridgeSQL: Bridging the Synthesis-Execution Gap in Text-to-SQL with Execution-Grounded Data Curation	Yin Zhu; Yifu Liu; Teng Cao; Bin Yang
17:30-17:40	DM2071	SCENARIODIFF: A Scenario-level Guidance Framework for Multimodal Time Series Forecasting	Tuan-Binh Tran; Dat Nguyen Cong; Duc-Trong Le; Thanh Trung Huynh; Tung Kieu
17:40-17:50	DM762	Multi-Scale Guided Diffusion-Enhanced Graph Learning for Multimodal Recommendation	Chentong Yu; Shunmei Meng; Qianmu Li; Xinyuan Gao; Jiaming Yang

S4 LLM-driven data mining and novel applications I 15:50-18:00Room: BeijingSession Chair: TBD Research TrackShort · 12 papers

Short Presentation (12 papers) · 7 min presentation + 3 min Q&A/transition

S4 — LLM-driven data mining and novel applications I · Main Day 1 — Friday, November 13, 2026 · Beijing
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM1801	Lightweight Graph-Free Condensation With MLP-Driven Optimization	Fuxin Yu; Xin Zheng; Yi Li; Yanqing Guo; Xikun Zhang; Jeffrey Chan; Feng Xia
16:00-16:10	DM1042	Uncertainty-aware Dependency-based Anomaly Detection with TabPFN	Sha Lu; Jixue Liu; Stefan Peters; Thuc Duy Le; Yongzheng Xie; Lin Liu; Jiuyong Li
16:10-16:20	DM242	RIVER: Reverse Inference Via Effect Reconstruction for Perturbation Target Identification	Jiaxin Hu; Xiaoning Qi; Limeng Tian; Jie Yan; Nian Liu; Xin Li
16:20-16:30	DM296	HISR: Hierarchical Invariant Sketch Resolution for Adaptive Network Traffic Measurement	Chenye Yang; Shuwang Xu; Lina Wang; Yufei Hou; Xi Ye
16:30-16:40	DM471	Distribution Enhanced Stock Price Forecasting using Endogenous and Exogenous Shift Calibration	Shurui Wang; Wenbo Yan; Ying Tan
16:40-16:50	DM889	HC-RAG: Evidence-Centric Retrieval-Augmented Generation over Heterogeneous Financial Filings	Siyuan Chen; Huaye Tan; You Li; Jiajun Liang; Wei Liu
16:50-17:00	DM1873	Learning to Model Optimization Problems from Solver Outcomes	Runda Guan; Xiangqing Shen; Jiajun Zhang; Yifan Zhang; Jian Cheng; Rui Xia
17:00-17:10	DM1966	FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment	Qinhong Lin; Ruitao Feng; Yinglun Feng; Zhenxin Huang; Yukun Chen; Zhongliang Yang; Linna Zhou; Binjie Fei; Jiaqi Liu; Yu Li
17:10-17:20	DM2206	Capturing Coordinated Propagation Signals via Hypergraph Contrastive Learning for Fake News Detection	Siqi Wei; Bin Wu
17:20-17:30	DM252	Trust-But-Verify: Poisoning-Resilient Locally Private Graph Learning Protocols	Longzhu He; Li Sun; Hao Peng; Ruijie Wang; Raymond Chi-Wing WONG; Sen Su
17:30-17:40	DM1714	Physics-Guided Temporal Causal Discovery under Distribution Shift	Shenmeng Chen
17:40-17:50	DM1970	Lesion-Aware Attention for Mammography Segmentation with Heterogeneous Supervision	Di Dai; Bo Liu; Liwei Wang

S5 Modeling, recommendation and LLM methods 15:50-18:00Room: MadridSession Chair: TBD Research TrackShort · 12 papers

Short Presentation (12 papers) · 7 min presentation + 3 min Q&A/transition

S5 — Modeling, recommendation and LLM methods · Main Day 1 — Friday, November 13, 2026 · Madrid
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM313	Preference-Driven Contrastive Learning for Bundle Recommendation	Can-Ming Cui; Wu-Dong Xi; Xing-Xing Xing; Wei Wan; Jie-Ying Hu; Chang-Dong Wang; Hui-Yu Zhou
16:00-16:10	DM463	CaST-POI: Candidate-Conditioned Spatiotemporal Ranking for Next POI Recommendation	Zhenyu Yu; Chunlei Meng; Yangchen Zeng; Mohd Yamani Idna Idris; Jihong Guan; Shuigeng Zhou
16:10-16:20	DM483	Causal Masking Lowers Intrinsic Dimension in Full-Vocabulary Sequential Recommendation: Evidence from a Single-Variable Attention Ablation	Ziren Zhou; Jiahao Song; Quanjia Xiao; Bo Xiong
16:20-16:30	DM565	Filling the Knowledge Gap: LLM-Authored Chemistry Rules and Inter-Molecule Graphs for Molecular Anomaly Detection	Suxue Ma; Xuexiong Luo; Shan Xue; Jian Yang; Jia Wu
16:30-16:40	DM566	DAC-Agent: Decoupling Dominant Patterns and Residual Interests via Neural-Agentic Collaboration	Yuhao Fang; Zherui Yang; Changdong Wang
16:40-16:50	DM638	MemRec: Atkinson-Shiffrin Memory-Guided Course Recommendation with Large Language Models	Shiwei Shi; Yanting Zhang; Yongquan Wan; Cairong Yan
16:50-17:00	DM1212	Local Bayes Advantage for Selective Retrieval in Tabular In-Context Learning	Yangming Yue; Shengwen Luo; Sanchao Liu; Wenyu Ye; Ke Xiao; Ye Li
17:00-17:10	DM1269	ExSBR: Enhancing Session-based Recommendations with Insightful Explanations via Self-Refinement Prompting	Hong Su; Raymond Chi-Wing WONG; Philip S. Yu; Sean Sihong Xie; Li Sun
17:10-17:20	DM2183	Temporal Anomalous Community Detection in Agent Memory	Liming Xiang; Jing Feng; Hongchao Qin
17:20-17:30	DM1489	Neuro-Symbolic Reasoning for Generalizable and Interpretable Zero-Shot Learning	Huaxing Zhao; Xingcheng Fu; Xueyan Liu; Minglai Shao; Xianxian Li; Dongran Yu
17:30-17:40	DM544	HOM-Quant: Higher-Order Moment-Driven Mixed-Precision Quantization for Large Language Models	Yuhua Chen; Xiaofeng He
17:40-17:50	DM713	Hint-Conditioned Knowledge Tracing: A Causal-Inspired View of Context-Dependent Hint Usage	Shuyi Pan; Wei Chen; Peilin Zhan; Lihong Wu; Ruichu Cai

S6 Systems, platforms and cyber-physical intelligence 15:50-18:00Room: Kuala LumpurSession Chair: TBD Research TrackShort · 13 papers

Short Presentation (13 papers) · 7 min presentation + 3 min Q&A/transition

S6 — Systems, platforms and cyber-physical intelligence · Main Day 1 — Friday, November 13, 2026 · Kuala Lumpur
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM863	Majority-Guided Disentangled Latent Distillation for Imbalanced Time Series Classification	Chuanhang Qiu; Anthony Bagnall
16:00-16:10	DM1112	SHAPE: Spatial Hyperbolic-Embedding Augmented Pretraining for Estimated Time of Arrival on Obfuscated Trajectories	Ruopu Li; Yong Chu; Kai Yang; James Jianqiao Yu; Lixia Wu; Xun Zhou
16:10-16:20	DM1678	Hot-Start Graph Ensemble Learning: Tackling Large Networks with Shared Initialization and Multi-Branch Diversification	Jiajun Shen; Yufei Jin; Xingquan Zhu
16:20-16:30	DM892	FedSAC: Summary-Driven Adaptive Clustered Federated Learning under Mixed Drift and Partial Participation	Zhikai Yang; Yaping Liu; Shuo Zhang; Dingyu Yan; Ziqi Wang
16:30-16:40	DM994	FedMOR: Towards Responsible Federated Recommendation via Controllable Personalized Multi-Objective Learning	Qingqian Guan; Dianer Yu; Shangkun Liu; Wei Wang; Huan Huo; Jianli Zhao
16:40-16:50	DM1035	PB-TriHyper: Granularity-Aware Generated Personalized Federated Learning via Parameter-Block Routing	Guohao Zhang; Xi Zhou; Yi Wang; Yupeng Ma; Zhengdong Luo; Baoquan Wang; Yunfei Han
16:50-17:00	DM1046	Estimating Inconsistency Response Surfaces under Uncertainty in Cyber-Physical System Development	Johannes Mäkelburg; Tim Schwabe; Maribel Acosta
17:00-17:10	DM1413	OFS: Overlapped Feature Synthesis for Communication-Efficient Federated Learning	Yang Zhou; Yuhao Zhou; Shujian Li; Qing Ye; Jiancheng Lv
17:10-17:20	DM1560	NeutronMP: Multi-Model Parallelism for Breaking Synchronization Barriers in Distributed GNN Training	Chunyang Li; Xin Ai; Yanfeng Zhang
17:20-17:30	DM1771	Fed-RAP: Reliability-Aware Prototype Regulation for Incomplete Multimodal Federated Learning	Jinyuan Li; Zhe Xue; Yawen Li; Guanhua Ye; Yuanqiang Cai; Weifeng Gong; Yueying Wang; Shilong Ou
17:30-17:40	DM2150	LD-Leiden: Local Parallel Community Detection in Large Dynamic Networks	Grigoriy Bokov; Aleksandr Konovalov; Anna Uporova; Stanislav Moiseev; Ivan Safonov; Alexander Radionov
17:40-17:50	DM2045	RFTF: Reinforcement Dynamic Client Optimization with Multi-scale Temporal Feature Decoupling for Federated Time Series Forecasting	zhenhui pan; Junping Du; Zhe Xue; Guanhua Ye; Yingxia Shao; zeli guan; jia wang
17:50-18:00	DM1958	Physics-Preserving Latent Compression for Zero-Shot Resolution Transfer in 3D Turbulence	Yilong Dai; Yiming Sun; Yiheng Chen; Ziyi Wang; Shengyu Chen; Xiaowei Jia; Runlong Yu

S7 ML/DL and statistical methods 15:50-18:00Room: SeoulSession Chair: TBD Research TrackShort · 13 papers

Short Presentation (13 papers) · 7 min presentation + 3 min Q&A/transition

S7 — ML/DL and statistical methods · Main Day 1 — Friday, November 13, 2026 · Seoul
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM228	Reference-Calibrated Residual Auditing for Backdoor Inspection in Time-Series Forecasting	Jian Liu; Pengzhi Zhong; Tianshuo Wei; Chenbin Zhang; Maolin Wang
16:00-16:10	DM730	DSRG: Unified Retrosynthesis Prediction via Differentiable Substructure Retrieval and Generative Feedback	Chaopeng Guo; Haoyang Ma; Xinyi Zhang; Jie Song
16:10-16:20	DM778	Explainable Uncertainty Estimation for Reliable Medical AI	Li Rong Wang; Jamie Duell; Xinran Xu; Thomas C. Henderson; Yu Yue Hew; Pik Wan Erica Chiang; Xiao Wei Al’star Ang; Bingwen Eugene Fan; Xiuyi Fan
16:20-16:30	DM890	Prior-Calibrated Energy Gating for Knowledge Tracing with Multimodal Semantic Priors	zhiyu chen; Jing Xiao
16:30-16:40	DM915	Diffusion Optimized Social Prompt: Adapting Pre-trained Recommenders for Cold-start Users	Zhenyu Wu; Jiadong Sun; Cheng Wan; Kun Zheng; Jinpeng Chen; Liwei Huang
16:40-16:50	DM1337	FedDual: Robust Federated Learning under Compound Label Corruption and Class Absence	Xinyi Lu; Jiajia Sun; Wenhai Wan; Tianze Liu; Shao-Yuan Li; Sheng-Jun Huang; Songcan Chen
16:50-17:00	DM1582	Building Privacy-Protected and Interpretable Model Surrogates on Synthetic Data	Francesca Naretto; Rami Haffar; Josep Domingo-Ferrer
17:00-17:10	DM1791	Domain Bridging: Enabling Adaptation without Peeking at Target Data	Sihan Xia; Jing Li; Yuanben Zou; Ivor Tsang; Yew Soon Ong
17:10-17:20	DM1991	GILoRA: Gradient Interference-Guided LoRA for Mitigating Knowledge Forgetting	Geyuan Zhang; Xiaofei Zhou; Gaopeng Gou; Gang Xiong
17:20-17:30	DM2138	Enriched Dual-View Learning from Crowds	Zhenguo Shi; Huan Zhang
17:30-17:40	DM2181	Mining Spectral Intervals for Backdoor Vulnerability Analysis in Hyperspectral Image	Hongjin Ren; Liang Xiao
17:40-17:50	DM1751	MissGNN: Missingness-Guided Graph Neural Network for Feature- and Sample-Aware Imputation	Zhongyi Yu; Zhenghao Wu; Shuhan Zhong; Weifeng Su; Amelie Chi Zhou; S.-H. Gary Chan; Chul-Ho Lee; Weipeng Zhuo
17:50-18:00	DM681	PPDL: A Real-world Industrial User Retention Ratio Forecasting Framework Integrating Physical Priors with Deep Learning	Zibo Zhao; Zhengxiong Guan; Chaoli Zhang; Linyuan Geng; Xuanbing Zhu; Zhonglong Zheng; Fan Wu

S8 Applied Track: Finance, security and digital platforms 15:50-18:00Room: RomeSession Chair: TBD Applied TrackShort · 11 papers

Short Presentation (11 papers) · 7 min presentation + 3 min Q&A/transition

S8 — Applied Track: Finance, security and digital platforms · Main Day 1 — Friday, November 13, 2026 · Rome
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM1707	Event-Driven Causal Discovery for Root Cause Analysis in Semiconductor Fabrication Data Center	Juhyeon Kim; Heewon Lee; Jiwon Jang; Youngbin Park; Hyunwoo Park
16:00-16:10	DM1795	M3-HCF: Multi-Temporal Multi-Treatment Multi-Outcome Hierarchical Causal Framework for Online Games	Minghao Chen; Wentao Mo; Yi Zeng; Zhenfeng Liang
16:10-16:20	DM302	Large Language Model-Guided Hierarchical Graph Neural Network for Interpretable Brain Network Analysis in Alzheimer’s Disease	Zhongyang Wang; Xinlei Wang; Luxuan Qu; Keyan Cao
16:20-16:30	DM309	Training-Free Normal-Support Score Calibration for Frozen Vision-Language Anomaly Detection	Junjie Liu; Jingnan Wang; Boqiang Zhang; Kunyu Li; Lichao Zhang
16:30-16:40	DM627	PIGS: Sparse-View Urban Asset Mining with Pretrained Geometry and Promptable Segmentation	Boyang Li; Zuan Gu; Tianhan Gao
16:40-16:50	DM880	Rank-Aware Watermark for Large Language Models	Lalarukh Haseeb Akhtar; Jipeng Qiang
16:50-17:00	DM911	CAST: A Cross-Asset State-Space Trading System for Drawdown Control in Stock Markets	Yu Peng; Matloob Khushi; Josiah Poon
17:00-17:10	DM1235	Unsupervised State Detection with Entropy Regularization for Time Series Data with Application to Virtual AI Teacher	Chufei Yan; Yiyan Lv; Shaoyin Liu; Yanli Meng; Yulei Wang
17:10-17:20	DM1341	Phishing URL Detection in webOS Browser with Differentiable Fuzzy-Transformer	Jaeil Park; Haerin Byeon; Sung-bae Cho
17:20-17:30	DM1385	Towards Sustainable and Scalable AutoML for Data Streams: A Multi-Metric Benchmarking Study	Ali Maharramov; Radwa El Shawi
17:30-17:40	DM689	BioDistil: Knowledge-Guided Agentic Distillation of Biomedical Question-Answering Corpora for Large Language Models	Meng Xiao; Xunxin Cai; Qingqing Long; Chengrui Wang; Yuanchun Zhou; Hengshu Zhu

S9 Applied Track: Real-world AI in finance, healthcare and industry I 15:50-18:00Room: Berlin 2Session Chair: TBD Applied TrackShort · 10 papers

Short Presentation (10 papers) · 7 min presentation + 3 min Q&A/transition

S9 — Applied Track: Real-world AI in finance, healthcare and industry I · Main Day 1 — Friday, November 13, 2026 · Berlin 2
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM741	Heterogeneous Tabular Self-Supervised Transformer for Asymmetric Data Regime in Engineering: Case Study on Bridge Seismic Vulnerability Assessment	Cameron Heng; Benedict Wong; Kota Murakami; Julia C. Lensing; Marc O. Eberhard; Jeffrey W. Berman; John Y. Choe
16:00-16:10	DM1614	Improved Genomic Prediction on Japanese Brown Cattle Tosa Pedigree via Dimensionality Reduction	Shigenobu Mori; Taichi Kiwaki; Eiji Kobayashi; Aisaku Arakawa; Mika Oe; Taishi Chikamori; Kazuki Hamada; Arisa Yamaguchi; Kazutsugu Matsukawa
16:10-16:20	DM1874	TRAE: Trustworthy Automated ESG Annotation via Multi-Agent Consensus and Confidence Assessment	Jaeyoung Lee; Misuk Kim
16:20-16:30	DM1878	RAIL: Adapting Generative Adversarial Imitation Learning for User Feedback Simulation in OCPC	Leping Zhang; Xiao Zhang; Zhaocheng Du; Yichao Wang; Gang Wang; Jun Xu
16:30-16:40	DM1957	Beyond Canonical Features: Enriching and Systematically Evaluating an Expert Feature Space for Just-in-Time Software Defect Prediction	Yihan Liu; Liyan Song; Xin Yao
16:40-16:50	DM2015	MARCUS: Missing-Aware Region Representation with Contextual Urban Signals for Rent Prediction	Chenya Huang; Bin Liang; Zhidong Li; Yuxi Lu; Kunqi Li; Justin Wang; Fang Chen
16:50-17:00	DM2019	Verifiable Privacy-Preserving Set Query	Jinyi Zhu; Zhicheng Li; Jian Xu
17:00-17:10	DM743	Learning When to Personalize: Query-Type-Aware\ Playlist Generation Deployed at Scale	Fedor Buzaev; Rinat Mullakhmetov; Roman Bogachev; Ilya Sedunov; Oleg Pavlovich; Kamil Mazitov; Mariia Makarova; Evgeny Perets; Daria Pugacheva; Ivan Sukharev
17:10-17:20	DM2025	FlightDiff: Prediction-Guided Diffusion Rectification for Robust Flight-Parameter Forecasting	Linxuan Wang; Xinhai Chen; Bo Yang; Binglin Wang; Qinglin Wang; Jie Liu
17:20-17:30	DM2055	CGSBR: Adaptive Cross-Source Gating for Cold-Start Sequential Bundle Recommendation	Weijun Xu; Zhongyu Ji; Qiang Xiao; Ming Yue; Yuming Ren; Chuanjiang Luo; Yong Li

Main Day 2

Saturday, November 14, 2026

7 sessions · 70 papers

L11 Systems, platforms and time-evolving networks 13:30-16:10Room: ParisSession Chair: TBD Research TrackLong · 10 papers

Long Presentation (10 papers) · 12 min presentation + 3 min Q&A/transition

L11 — Systems, platforms and time-evolving networks · Main Day 2 — Saturday, November 14, 2026 · Paris
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM884	BAPQ: Bandwidth-Aware Structured Pruning and Adaptive Quantization for Fast Federated Learning	Lihao Yang; Jianxiong Guo; Jiandian Zeng; Zhiqing Tang; Tian Wang; Weijia Jia
13:45-14:00	DM1079	Parameters vs. Context: TRACE Fine-Tuning for Robust Retrieval-Augmented Generation	Zhengchen Huang; Yundong Sun; Minrui Song; Shuanglong Yao; Ye Liu; Ji Chen; Xing Wang
14:00-14:15	DM1515	Input-Adaptive Depth Routing in Pretrained Large Language Models with Mixture of Layers	Lu Sun; Rui Wen; Jiayang Liu; Jun Sakuma
14:15-14:30	DM424	Task-Aware Federated Fine-Tuning for MoE-based Large Language Models	Tingqi Wang; Hongyu Ke; Haoxin Wang; Rafal Angryk; Zhipeng Cai
14:30-14:45	DM645	Influence-Oriented Personalized Federated Learning	Yue Tan; Guodong Long; Jing Jiang; Chengqi Zhang
14:45-15:00	DM780	FedWeave: Federated Parametric RAG for Multi-Evidence Reasoning	Yuxiang Wang; Yawen Li; Yongxin Tong; Zhilin Liang; Zimu Zhou; Zhe Xue; Qiang Yang
15:00-15:15	DM1078	CbvFL: Communication-Budgeted and Verifiable Federated Learning for Educational Data Mining	Nan Qin; Yue Wang; Yuan Ji; Fangda Guo; Rongfang Bie; Xufeng Zhang; Shuang Liu; Yu Guo
15:15-15:30	DM1545	AICAP: Intent-Centric Graph Analytics for Risk-Aware Atomic Cross-Chain Data Routing	Zhefeng Sai; Shiyuan Xu; Yuan Ji; Fangda Guo; Rongfang Bie; Yu Guo
15:30-15:45	DM2023	A Carbon-Aware Serving Framework for AI Web Services	Yukun Wang; Chengzu Dong; Zongxi Li; Xingrao Ma; Aiting Yao; Jiawei Li
15:45-16:00	DM2168	Leaderboard Manipulation: Poisoning LDP Frequent Itemset Mining at Minimal Cost	ZiJian He; Leixia Wang; Bin Wang; XiaoChun Yang

L12 Recommendation, adaptation and spatiotemporal modeling I 13:30-16:15Room: LondonSession Chair: TBD Research TrackLong · 11 papers

Long Presentation (11 papers) · 12 min presentation + 3 min Q&A/transition

L12 — Recommendation, adaptation and spatiotemporal modeling I · Main Day 2 — Saturday, November 14, 2026 · London
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM2129	FreqMAG: Magnitude-Aware Grouping and Alignment in Frequency Domain for Multivariate Time-Series Anomaly Detection	Lijun Sun; Shuai Zhang; Lanhao Li; Xin Xue; Haoyi Zhou; Jianxin Li
13:45-14:00	DM379	MAGMA: Mamba with Adaptive Gated Modeling and Agent Denoising for Sequential Recommendation	Jun Hu; Yuan-Qing Wang; Wu-Dong Xi; Ling Huang; Pei-Yuan Lai
14:00-14:15	DM758	TAST: Target-Anchored Structured Transfer for Cross-Domain Recommendation	Zixuan Yuan; Zongfu Zhang; Chang-Dong Wang; Ping-Hua Chen
14:15-14:30	DM764	MechAdapt: Mechanism-Aware Selective Adaptation for Online Time Series Forecasting	Saumya Karunadhika; Ling Luo; Bastian Oetomo; Michele Discepola; Sally Gras; Uwe Aickelin
14:30-14:45	DM815	MedRuleAgents: A Rule-Space-Grounded Multi-Agent Collaboration Framework for Clinical Therapy Recommendation	Nengjun Zhu; Xingyu Xi; Weihang Xu; Cao Jian; Shenghui Lan; Siji Zhu; Xiaosong Chen
14:45-15:00	DM971	DeTTAM: Decoupled Test-Time Adaptation for Multimodal Recommendation	Jiayi Chen; Yi Li; Yanqing Guo; Jiapu Wang; Yue Yang; Jeffrey Chan; Ibrahim Khalil; Xin Zheng
15:00-15:15	DM1067	DTG-RAG: Dual-Track Graph Retrieval-Augmented Generation for Zero-Shot Recommendation	Wei Lan; Shuo Li; Qingfeng Chen; Fucai Ke; Ziqi Xu; Ibrahim Khalil; Xin Zheng
15:15-15:30	DM1140	SAGE: Semantic-Aware Tokenization with Ranking Guidance for Generative Recommendation	Meng Ma; Ding Yan; Bohan Li; Yuanyang Zhang; Chenhui Feng; Changjie Wang; Hua Dai; Haofen Wang
15:30-15:45	DM1365	Beyond Static Temporal Structures: Discovering Temporal Periodicity for Sequential Recommendation	Rong Zhu; Wei Zhu; Lixing Yu; Kun Yue; Zhiwen Tang
15:45-16:00	DM340	Temporal Memory-Aware Online Test-Time Adaptation on Dynamic Graphs	Bo Li; Xin Zheng; Ming Jin; can wang; Shirui Pan
16:00-16:15	DM1804	Transparent Generalized Additive Time Series Forecasting at Transformer-Level Accuracy	Suan Lee; Jinho Kim

L13 Foundations, causality and learning theory 13:30-16:10Room: Kuala LumpurSession Chair: TBD Research TrackLong · 10 papers

Long Presentation (10 papers) · 12 min presentation + 3 min Q&A/transition

L13 — Foundations, causality and learning theory · Main Day 2 — Saturday, November 14, 2026 · Kuala Lumpur
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM337	Witnesses Explain Anomalies	Lamine DIOP
13:45-14:00	DM366	Performance Driven Domain-level Data Acquisition	Xinyan Han; Peng Cui
14:00-14:15	DM474	HGPRA: Training-Dynamics-Aware Hypergraph Condensation via Progressive Representation Anchoring	Qi Luo; Jiaqi Zhang; Haide Zhao
14:15-14:30	DM705	CurFlow: Curriculum Flow Matching for Imbalanced Tabular Classification	Tianjun Zhang; Zhidong Cao; Hongpeng Tian
14:30-14:45	DM1161	Causal Explanations of Process Monitor Predictions	Tom Yaacov; Nathan Blake; Hana Chockler
14:45-15:00	DM1234	Prediction-Powered Corpus Mining: Coverage-Valid Statistics from Scarce Labels	Jing Wang; Jie Shen; Amar Sra; Qiaomin Xie; Yiming Luo; Jeremy Weiss
15:00-15:15	DM2081	SpecFit: Select Before You Train for Fourier-Feature Model Selection	Uyen Le; Thin Nguyen
15:15-15:30	DM499	Reliable Sparse Circuit Mining: False Discovery Rate Control and Valid Post-Selection Inference for Language Model Behavior	Zhiyu Cheng; Fang Jin
15:30-15:45	DM1439	GramMGT: Assessing and Hardening Machine-Generated Text Detectors with Train-Free Humanization	feng qian; Jipeng Qiang; Yi Zhu; Chaowei Zhang; Yan Liu; Yunhao Yuan; Lu Han
15:45-16:00	DM1823	FlowPaint: High-Fidelity Text-Guided Multi-Mask Inpainting via Deterministic Flow Matching	Jiayi Lin; Zhiyong Wu; Aimin Yang; Peijian Zeng

L14 Heterogeneous graphs and multimodal intelligence 13:30-16:15Room: SeoulSession Chair: TBD Research TrackLong · 11 papers

Long Presentation (11 papers) · 12 min presentation + 3 min Q&A/transition

L14 — Heterogeneous graphs and multimodal intelligence · Main Day 2 — Saturday, November 14, 2026 · Seoul
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM455	MACC-GNAS: Modality-Aware Cooperative Co-Evolutionary Graph Neural Architecture Search for Co-Exploitation Behavior Discovery	Sixuan Wang; Jiao Yin; Jinli Cao; MingJian Tang; Yong-Feng Ge
13:45-14:00	DM475	DiFA: Dual Evidence Fusion and Aggregation for Token-Level Text Anomaly Detection	Yanyu Qian; Pengcheng Weng; Yue Tan; Enguang Zuo; Yu Zhang; Yixin Liu
14:00-14:15	DM625	Graph Data-Centric Evaluator for Test-Time GNN Performance Estimation	Huanchang Ma; Xin Zheng; Jianyu Li; Ming Yang; Ziqi Xu; Yu Zheng; Shirui Pan; Jian Gao
14:15-14:30	DM628	ASSIST: Urban Region Embedding via Adaptive Separate-Shared Gate and Information-Statistics Optimization	Xunan Wei; Shuangyi Huang; Dingming Wu; Tsz Nam Chan
14:30-14:45	DM666	Towards Cross-domain Graph Few-shot Class-incremental Learning	Jiacheng Chen; Jiazhen Chen; Sichao Fu; Zheng Ma; Zhifu Wang; Tao Peng; Weihua Ou; Xinrong Hu
14:45-15:00	DM723	Subspace Adaptive Learning Framework for Trapezoidal Data Streams with Concept Drift	Botao Jiao; Yinan Guo; Kai Zhang; Shihui Liu
15:00-15:15	DM2044	GEAR: From Dynamic Encoding to Dynamic Activation in Social Trajectory Prediction	Jiaheng Chen; Jiaxing Li; Leixia Wang; Jianan Ju; Tinghe Zhang
15:15-15:30	DM1306	CoVEx: Connectivity-Constrained Gradient Explanation for GNN-based Vulnerability Detection	Xiang Li; Zhanyi Wang; Xiaoqian Jiang; Jing Zhang
15:30-15:45	DM979	SIM:Subspace Interaction-based Method for Token-Level Text Anomaly Detection	Kehan Yan; Yue Tan; Qingfeng Chen; Shiyuan Li; Yu Zheng; Yixin Liu
15:45-16:00	DM383	Subgraph Meta-Learning for Direction and Time Aware Transaction Anomaly Detection	Wangyue Li; Qizhou Chen; Yao Tong; Feng Zhu; Wei Deng; Xiaofeng He
16:00-16:15	DM1474	Fraud Detection Model Through Global Structure and Local Substructure Feature Fusion	Xinzhi Wang; Tianyue Yin; Jiayu Guo; Nengjun Zhu; Hui Zhang

L15 Machine learning, optimization and statistical methods 13:30-16:10Room: RomeSession Chair: TBD Research TrackLong · 10 papers

Long Presentation (10 papers) · 12 min presentation + 3 min Q&A/transition

L15 — Machine learning, optimization and statistical methods · Main Day 2 — Saturday, November 14, 2026 · Rome
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM1099	Positive-Negative Spherical Interpolation for Zero-Shot Composed Image Retrieval	Hongye Li; Xingming Liao; JiaXiao Luo; Lianglun Cheng; Zhuowei Wang
13:45-14:00	DM304	Smooth Reward Shaping via Normalized Softplus Functions for Reinforcement Learning	Nitsan Soffair; Gilad Katz
14:00-14:15	DM605	Learning to Aggregate Rankings: A Self-Supervised Transformer for Kemeny Consensus	yijun jin; simon Klüttermann; Chiara Balestra; Emmanuel Mueller
14:15-14:30	DM1544	Zero-Sum Set Transformer Neural Processes	Zhenhuan Zhang; Junyu Xuan
14:30-14:45	DM432	FedAsym: Modality Asymmetric Federated Cross Modal Representation Mining from Heterogeneous Image Text Data	Wenqi Xue; Yifan Zhu; Can Lin; Yuanjian Zhang; Zhonghong Ou; Meina Song
14:45-15:00	DM575	Imputation as an Information Bottleneck: Direct Mask-Conditioned Forecasting for Missing Time Series	Ziqi Zhao; Run Xu; Qingjian Ni
15:00-15:15	DM622	FoMo: Language-Aligned Learning for Zero-Shot and Few-Shot Tabular Inference	Van The Le; Trung Nghia Duong; Quang Dan Tran; Tien Thinh Nguyen; Nguyen Tu Duc Ngo; Thi Ha Yen Tang
15:15-15:30	DM717	Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection	Bin Li; Dongdong Wang; Siyang Lu
15:30-15:45	DM1894	DBM-Bid: Dual-Branch Modulated Bidding for Offline Constrained Auto-Bidding	Zijie Bian; Ningyuan Zhao; Yongxuan Lai; Fan Yang
15:45-16:00	DM394	UniCom: A Unified Framework for Community Search and Detection via Transfer Learning	Yifan Zhu; Hanchen Wang; Wenjie Zhang; Alexander Zhou; Ying Zhang

L16 Applied Track: Industrial, financial and decision intelligence 13:30-16:10Room: Berlin 1Session Chair: TBD Applied TrackLong · 9 papers

Long Presentation (9 papers) · 12 min presentation + 3 min Q&A/transition

L16 — Applied Track: Industrial, financial and decision intelligence · Main Day 2 — Saturday, November 14, 2026 · Berlin 1
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM380	TriHead-GAN: A Generative Adversarial Network with Triple-Head Discriminator for Carbon Emission Time Series Generation	Zesen Wang; Lijuan Lan; Yonggang Li; Chunhua Yang
13:45-14:00	DM682	Spacetime-GR: A Spacetime-aware Generative Model for Large-scale Online POI Recommendation	Haitao Lin; Zhen Yang; Jiawei Xue; Ziji Zhang; Luzhu Wang; Yikun Gu; Mingyang Yin; Minghao Liu; Wenbo Xie; Xin Li
14:00-14:15	DM1061	Robust Convex Biclustering	Yunxia Lin; Haikang Li; Bentian Li; Haoyu Hu; Yujia Zhang; Zhaorui Zhong; Jipeng Qiang
14:15-14:30	DM1107	DLRFusion: Degradation-Oriented Region Localization and Restoration for Infrared-Visible Image Fusion	Haotian Si; Yang Yang
14:30-14:45	DM1144	Broadly Applicable Water Level Detection via Adaptive Distribution Prediction	Di Zhang; Fenfen Shan; Borong An; Jingyan Qiu; Jiali Mao
14:45-15:00	DM1260	TUMTraf SCEM: Spatiotemporal Conflict Event Mining from Traffic Digital Twins with Contrastive Reasoning	Jiajie Zhang; Xingcheng Zhou; Walter Zimmer; Nenad Petrovic; Xiangzhong Liu; Leah Strand; Venkatnarayanan Lakshminarasimhan; Alois Knoll
15:00-15:15	DM1336	Accuracy Is Not Service: A Decision-Aware Benchmark for Intermittent-Demand Forecasting	Joo Ern Chin; Shih-Fen Cheng; Aldy Gunawan
15:15-15:30	DM1432	FraudBench: Protocol-Sensitive Benchmarking of Adversarial Robustness for Financial Risk Assessment	Xitong Zeng; Zhaoge Bi; Yitian Yang; Huaming Chen; Quan Z. Sheng
15:30-15:45	DM1408	A Generation-to-Application Framework for Semantic ID Collision in Industrial Generative Recommendation	Shijia Wang; Da Guo; Qiang Xiao; Liwen Xiao; Yi Zhu; Dongjing Wang; Chuanjiang Luo; Yong Li

L17 Applied Track: Recommendation, security and operational intelligence II 13:30-16:10Room: Berlin 2Session Chair: TBD Applied TrackLong · 9 papers

Long Presentation (9 papers) · 12 min presentation + 3 min Q&A/transition

L17 — Applied Track: Recommendation, security and operational intelligence II · Main Day 2 — Saturday, November 14, 2026 · Berlin 2
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM291	MuSeR: Scalable Long-sequence Recommendation with Multi-interest Modeling	Yongkang Fu; Beining Bao; Yu Jiang; Xiangyu Zhao; Hongyang Wei; Guangxing Chen; Zuodong Yang; Shantao Li; Zonggang Wu; Yuqi Lu; Shouke Qin; Hanmeng Liu; Maolin Wang
13:45-14:00	DM557	Transition Path Diffusion for Protein Reactive Trajectories	Zehua Cheng; Wei Dai; Jiahao Sun
14:00-14:15	DM2022	KPI-Aware Multimodal Anomaly Detection for 5G and Open RAN Telemetry	Chiman Salavati; Liang Wu; Kelly Wan; Mayank Darbari; Liangjie Hong
14:15-14:30	DM2026	SemMark: Robust Large Language Model Watermarking via Semantic Chain-Binding	Zihao Qiang; Jipeng Qiang; Jifei Hao; Yi Zhu; Xiangyu Zhao; Zhu Sun
14:30-14:45	DM2092	SpectraExpert: Expert-Like Reasoning Agent for Spectrum-Based Molecular Identification	Denghong Luan; Zaifan Lu
14:45-15:00	DM2124	PortBench: A Dual-Protocol Benchmark for Compositional Numerical Reasoning in Port Operations	Hong Li; Xingming Liao; Ning Chen; Minghua Chen; Lianglun Cheng; Zhuowei Wang
15:00-15:15	DM700	LDP-ETS: Event-Based Trajectory Synthesis under Local Differential Privacy	Yahong Chen; Jiawei Chen; Xiaoguang Li; Tao Wang
15:15-15:30	DM1003	AMC-GNN: Adaptive Mixed-Curvature Graph Neural Networks for Fraud Detection	Mengmeng Yang; Yongying Guan; Zhenwei Ma; Dawei Cheng
15:30-15:45	DM1995	Multi-Modal Causal Disentanglement for Multi-Domain Sequential Audio Recommendation	Yu Ren; Pengcheng Li; Weijun Xu; Hengzhong Zhou; Shufeng Ye; Qiang Xiao; Dongjing Wang; Chuanjiang Luo; Yong Li

Main Day 3

Sunday, November 15, 2026

8 sessions · 83 papers

L18 Novel applications and generative models 13:30-15:30Room: ParisSession Chair: TBD Research TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L18 — Novel applications and generative models · Main Day 3 — Sunday, November 15, 2026 · Paris
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM1813	When a High Score Is an Illusion: Certifying Genuine versus Repackaged Forecasting Skill	Pin Ni; Francesca Medda; Ramin Okhrati
13:45-14:00	DM251	Timescale-Disentangled Generative Models of Protein Dynamics	Zehua Cheng; Wei Dai; Jiahao Sun
14:00-14:15	DM392	ToDi: TextOmics-Guided Diffusion for Hit-like Molecular Generation	Hang Yuan; Chen Li; Wenjun Ma; Tadahiko Murata; jiang yuncheng
14:15-14:30	DM749	KnowStroke: Prior-Guided Task-Decoupled Graph Learning for Joint Stroke Complication Prediction	Zengwei Zheng; Mingxuan Chen; Qi Ma; Xiao Zhu; Ze Cai; Jiayun Jin; Anchen Lin; Longxiang Shi; Jianhua Ma; Zhicai Chen; Binbin Zhou
14:30-14:45	DM827	FlowShield: cryptocurrency anti-money laundering with transaction semantics parsing and fund flow tracking	Qishuang Fu; Andreas Deppeler; Joseph K. Liu; Yixin Liu; Shirui Pan; Qin Wang; Weiqing Wang; Tsz Hon Yuen
14:45-15:00	DM897	Uncovering Vulnerabilities in Graph Fraud Detection Models Using Conditional Diffusion-Driven Conspiracy Attacks	Mengmeng Yang; Xin Liu; Kun Zhu; Dawei Cheng; Huaming Tian
15:00-15:15	DM1130	PTSD: A Plug-and-Play Multi-Source Collaborative Self-Distillation for U-shaped Networks	Ziqi Ren; Ting Wang; Wing Ng; Xingfu Yan; Xing Tian; Jin Deng; Jianjun Zhang
15:15-15:30	DM1786	Market-State-Aware Risk-Budgeted Distributional Residual Hedging for Option Hedging	Qiao Pan; Yu Gao; Lu Jin Wu

L19 LLM-driven data mining and retrieval II 13:30-15:30Room: LondonSession Chair: TBD Research TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L19 — LLM-driven data mining and retrieval II · Main Day 3 — Sunday, November 15, 2026 · London
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM362	Trojaning the Alignment: Stealthy Backdoor Attacks against Graph Foundation Models	Minhua Lin; Zhicheng Gao; Yilong Wang; Hanqing Lu; Xiang Zhang; Suhang Wang
13:45-14:00	DM646	Separating the Softmax Denominator Unlocks Prefix-Based Evidence Injection for Frozen LLMs	Zeqiang Wang; Xinyue Wu; Suparna De
14:00-14:15	DM1074	Structure Attribute Seesaw: Conflict Aware Embedding Decoupling in Attributed Graph Clustering	Jing Fan; Zhenye Yang; Tao Wang; Kaimin Wei; Hongbo Gao; Peng Wang; Guomin Xiong; Jinpeng Chen
14:15-14:30	DM1727	BoyueSQL: Knowledge-Graph-Grounded NL2SQL for Local Enterprise Database Querying	Haopeng Wang; Chengzu Dong; Weiqi Zhang; Jiaxing Shen
14:30-14:45	DM1744	SocioAlign: Efficient Social Media User Simulation Via Target-Conditioned Behavioral Policy Learning	Feixiang Shu; Jiaxing Zheng; Conghui Zheng; Li Pan
14:45-15:00	DM1896	Hierarchical Multi-view Embedding Transformation for Legal Case Retrieval	Junhao Zhang; Richong Zhang; Yifei Li; Zhijie Nie; Chenguang Hou
15:00-15:15	DM2128	CASCADE: Constraint-Aware Scaffolded Decomposition for Logical Anomaly Detection	Jinchan Kim; Jinhee Im; Hyunsouk Cho
15:15-15:30	DM997	Efficient Manipulation of Directed Structural Graph Clustering via Triangle-Aware Indexing	Su Wang; Chuanyu Zong

L20 Recommendation, adaptation and spatiotemporal modeling II 13:30-15:30Room: BeijingSession Chair: TBD Research TrackLong · 8 papers

Long Presentation (8 papers) · 12 min presentation + 3 min Q&A/transition

L20 — Recommendation, adaptation and spatiotemporal modeling II · Main Day 3 — Sunday, November 15, 2026 · Beijing
Time	Paper ID	Paper Title	Authors
13:30-13:45	DM1736	FDER: Frequency-Decoupled Enhanced Retrieval for Long-term Time Series Forecasting	Yong Liu; Yufan Wang; Chang Fang; Wangqiu Zhou; Qi Song; Xiangyang Li
13:45-14:00	DM364	TransDyn: Transformer-Driven Modeling of Resolution-Invariant Financial Temporal Dynamics Under Sampling-Induced Distribution Shift	Siyu Zhang; Yuyia Wu; Chang Zhou; Lianlei Shan
14:00-14:15	DM1644	LQ-Rec: Late Quantization for Sequential Recommendation	Satoshi Koide; Yueqi Wang; Julian McAuley
14:15-14:30	DM1111	MUSES: A Multi-source Unified Framework with LLM-based Semantic Gated Enhancement for Sequential Recommendation	Junqi Li; Jingwei Ma; Mingyang Zhong; Jiahui Wen
14:30-14:45	DM1381	Empowering Compact LLMs with Fusion of Layer-wise Exits for Recommendation	Xurong Liang; Tong Chen; Quoc Viet Hung Nguyen; Jianxin Li; Xiangliang Zhang; Hongzhi Yin
14:45-15:00	DM1570	Residual-Guided and Diversity-Aware Multi-Source Selection for Spatio-Temporal Transfer Forecasting	Zhiwen Liang; Yuanbo Xu; Hangtong Xu; Mijia Zhang; Dongming Luan; Lu Jiang; Pengyang Wang; Pengfei Wang
15:00-15:15	DM1784	S2MEN: A Scale-Specialized Mixture-of-Expert Network for Time Series Forecasting	Yusen Wang; Qihe Huang; Haolong Xiang; Xiaolong Xu; Zhengyang Zhou; Lianyong Qi; Xuyun Zhang; Wei Fan
15:15-15:30	DM1312	ALeSeC: Adaptive Lexico-Semantic Collaboration Enhanced Iterative Query Rewriting for Information Retrieval	Siliang Li; Chaofan Li; Yawen Li; Henry Nguyen; Zheng Liu; Yingxia Shao

S10 Applied Track: Scientific, industrial and enterprise AI 13:30-15:30Room: MadridSession Chair: TBD Applied TrackShort · 12 papers

Short Presentation (12 papers) · 7 min presentation + 3 min Q&A/transition

S10 — Applied Track: Scientific, industrial and enterprise AI · Main Day 3 — Sunday, November 15, 2026 · Madrid
Time	Paper ID	Paper Title	Authors
13:30-13:40	DM1552	Graph-Constrained Gradient Boosting for Multi-Source Transport Incident Redundancy Detection	Kezhi Lu; Zihe Liu; Junyu Xuan; Ruimin Li; Jie Lu
13:40-13:50	DM1680	Discover then Refine: Mode-Conditioned Scenario Forecasting for District Heating Demand	Malek Mahjoub; Vasile-Marian Scuturici; Marc Clausse; Jean-marc Petit
13:50-14:00	DM1691	AutoResearch at Production Scale: Failure Modes and a Multi-Agent Framework	Aparajith Chandran; Juwon Kim; Saurav Jha; Pablo Castells; Florian Hottier
14:00-14:10	DM1763	ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks	Thanh Thuy Ta; Jiaqi Zhu; Xuan Liu; Shang Lin; Reihaneh Rabbany; Guillaume Rabusseau; Lihui Chen; Yilun Zheng; Sitao Luan
14:10-14:20	DM1859	Action-Sensitive Intervention Mining for Grid-Interactive Power Electronics	Zian Guan; Zichen Zhou; Zhonggen Su
14:20-14:30	DM1869	RadOT-Eval: Auditable Structured-Evidence Transport for Radiology Report Evaluation	Weixin Liu; Juming Xiong; Yang Li; Qingyuan Song; Susannah Rose; Murat Kantarcioglu; Bradley Malin; Zhijun Yin
14:30-14:40	DM517	Learning from Imperfect Multi-source Estimates: Day-Ahead Regional Wind Power Forecasting in Evolving Systems	Yiyan Zhang; Cheng Chen; Guozhen Zhang; Ke Tang
14:40-14:50	DM674	Source-reference Guided Selective Rectification for Source-free Time-series Classification	Wei Zhou; Hongye Li; Lei Zhou; Jianhang Ji; Bing Li; Wei Cui
14:50-15:00	DM857	HyperCP: Hyperedge-Aware Conformal Prediction for Supply-Chain Forecasting	Shivansh Mishra; Vishal Jaishankar Pandey; Bagesh Kumar; Sahil Kumar; Ritik Kumar
15:00-15:10	DM1149	FREIGHT-MNet: A Public Multimodal Benchmark for Cold-Start Freight OD Travel-Time Risk	Yuteng Zhang; Ashis Banerjee
15:10-15:20	DM356	FSLNet: Episodic Few-Shot Adaptation for Industrial Recommender Systems	Maolei Huang; Shuhan Song; Huawei Cao; Ming Dun; Zhenlong Yuan
15:20-15:30	DM381	A Multi-Resolution Multi-Domain Pre-Training Framework for Universal Traffic Forecasting	Zhouyang Liu; Jindong Han; Hao Wang; Xinyue Liu; Hui Gao; Dongsheng Li; Hao Liu

S11 LLM-driven data mining and heterogeneous learning 15:50-18:00Room: ParisSession Chair: TBD Research TrackShort · 12 papers

Short Presentation (12 papers) · 7 min presentation + 3 min Q&A/transition

S11 — LLM-driven data mining and heterogeneous learning · Main Day 3 — Sunday, November 15, 2026 · Paris
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM932	MELD: Distilling Zero-Shot Priors of LLMs into Efficient Heterogeneous Models for Tabular Classification	Shutao Chen; Chunkai Zhang
16:00-16:10	DM1017	Latency-Constrained Adaptive Query Planning for Multi-LLM Information Extraction	Nikita Anurov; Maxim Ryndin
16:10-16:20	DM1055	From Prompt to Perturbation’: An Adaptive Framework for Voice-Based Jailbreaks on Audio LLMs	Linghan Huang; Bo Li; Huaming Chen; Kim-Kwang Raymond Choo
16:20-16:30	DM1198	Beyond Tokenization: Direct Timestep Embedding and Contrastive Alignment for Time-Series Question Answering	Yafeng Wu; Huu Hiep Nguyen; Thin Nguyen; Hung Le
16:30-16:40	DM1339	FinShield: LLM-Powered Deployable Financial Fraud Detection	Teng Liu; Chengfeng Qiu; Kaifeng Wei; Xiubo Liang
16:40-16:50	DM1581	GRES: Correlation-Aware One-Shot Pruning of LLMs across Granularities	Lu Sun; Jiayang Liu; Rui Wen
16:50-17:00	DM1833	L-GRAFT: GraphRAG-Guided Communication Topology Learning for Multi-Agent Reinforcement Learning	Yi Shen; Jiaxu Li; Yahong Han
17:00-17:10	DM488	CoMAG: Context-aware Modality-Topology Co-Alignment for Multimodal Attributed Graphs	Sirui Zhang; Xu Wang; Zhengyu Wu; Xunkai Li; Hongchao Qin
17:10-17:20	DM724	Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts	Xinyu Zhao; Qingyun Sun; Jiayi Luo; Xingcheng Fu; Jianxin Li
17:20-17:30	DM2000	ATLAS: Adaptive Attribute-Aware Post-Hoc Alignment of Knowledge Graph Embeddings	Duygu Ekinci; N’Dah Jean Kouagou; Mohamed Ahmed Sherif; Axel-Cyrille Ngonga Ngomo
17:30-17:40	DM1209	SCOPE: Evidence-Guided Sufficient Context Mining for Repository-Level Program Repair	Tianzuo Qin; Da Zheng; Chuan Wu
17:40-17:50	DM1345	TRACER: An LLM-based Coarse-to-Fine Framework for Adaptive Network Traffic Classification	Yongqi Duan; Chaofan Li; Yawen Li; Yingxia Shao

S12 Heterogeneous data mining and multimodal learning II 15:50-18:00Room: LondonSession Chair: TBD Research TrackShort · 12 papers

Short Presentation (12 papers) · 7 min presentation + 3 min Q&A/transition

S12 — Heterogeneous data mining and multimodal learning II · Main Day 3 — Sunday, November 15, 2026 · London
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM621	Structural Entropy Guided Hyperedge Prediction	Wenjie Liu; Liang Duan; Xiang Chen; Jiahui Wang; Kun Yue
16:00-16:10	DM1326	AutoDD: Learning to Select Drift Detectors for Evolving Data Streams	Nilesh Verma; Albert Bifet; Bernhard Pfahringer; Maroua Bahri
16:10-16:20	DM441	Beyond Absolute Scoring: Scalable Curation of Text-Rich Creatives via Budgeted Anchor-Calibrated Preferences	Yuan Zhou; Yuxin Qin; Zheng Zhang; Fengheng Li; Honghe Zhu; Jingjing Lv; Hao Qi; Zehua Zhang; Changping Peng; Ching Law; Ying Wang; Shiming Xiang
16:20-16:30	DM1884	A-CoRe: Aligning Generative Universal Multimodal Retrieval with Contrastive Reasoning	Runqing Tang; Junping Du; Wanyu Guo; Tongxu Lin; Kunpeng Hao; Zhendong Wang; Suibin Jia; Xiaobin Zhu
16:30-16:40	DM1712	GeoM-RAG: Geometry-Aware Multimodal Evidence Mining for Long-Video Retrieval Augmentation	Hao Gong; Bin Wang; Di Jin; Zehua Zhang
16:40-16:50	DM1796	Privacy-Preserving Multi-View Healthcare Data Imputation via Adaptive Diffusion	Huanchang Ma; Shuo Huang; Jiaming He; Jian Gao; Yujin Huang; Xin Zheng
16:50-17:00	DM1889	MethaneFuse: Learning from Multi-Sensor Satellite Observations for Methane Plume Detection	Yuyao Wang; Juliana Leung; Di Niu
17:00-17:10	DM2050	VISTA: Vision-First Multimodal Mining for Emotion Recognition from Text-Sparse Social Media Stickers	Yanjie Li; Xiaoyan Yuan; Chengming Li; Xiping Hu
17:10-17:20	DM2075	EnTRA: Towards Knowledge-Augmented Temporal Retrieval and Cross-Modality Alignment for Energy Market Forecasting	Zhiming Jiang; Yihan Wang; Wei Xu
17:20-17:30	DM1950	TDReasoning: An Efficient Top-Down Reasoning Framework for LLM Reasoning on KG	Yuanming Zhang; Jie Dong; Yang Liu; Wenbo Zheng; Fei Gao
17:30-17:40	DM650	Dual-View Relation-aware Hypergraph Learning for Multi-step Scholar Impact Prediction	Hao Wang; Zhijie Ban
17:40-17:50	DM2067	ROS-GAD: Reliable Open-Set Graph Anomaly Detection via Prompt Learning and Conformal Prediction	Ge Zhang; Xin Lu; GuoHao Sun; Xiu Fang; Xixun Lin; Pengfei Jiao; Chuan Zhou; Liang Yang

S13 LLM-driven data mining and novel applications II 15:50-18:00Room: BeijingSession Chair: TBD Research TrackShort · 12 papers

Short Presentation (12 papers) · 7 min presentation + 3 min Q&A/transition

S13 — LLM-driven data mining and novel applications II · Main Day 3 — Sunday, November 15, 2026 · Beijing
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM276	Support-Compatible Graph Construction for Local Geometric Anomaly Retrieval	Ziming Shao; Ronghua Li; Hongchao Qin; Qiangqiang Dai; Guoren Wang
16:00-16:10	DM1246	Feature Selection for Trajectory Inference	Jing Wang; Jie Shen; Sayantan Kumar; Misaki Matsuura; Jeremy Weiss
16:10-16:20	DM1117	SADAER: Scalable Attention Diffusion Framework for Multi-task Abnormal EEG Recognition	Fan Wu; Danni Xu; Kejing Yin; Hao Wu; Huiling Zhang; Wenfang Yao; Shanyun He; Lina Zhang; Zhaoxin Qian; Feng Lyu
16:20-16:30	DM1363	SafeCI-18: A Benchmark for Multimodal Large Language Model Safety Evaluation in Critical Infrastructure Scenarios	Xingtao Zhu; Chaofan Chen; Zhaoying Liu; Ting Zhang; Bo Liu; Honggui Han
16:30-16:40	DM1445	Recalibrating Visual GEO: Anchor-Decoupled Evaluation and a Transfer Probe	Zhouchen Dai
16:40-16:50	DM721	FSEM: Frequency-Semantic Evidence Mining for AI-Generated Image Detection under Distribution Shift	Haoran Liu; Jinli Zhang; Zongli Jiang; Chen Li
16:50-17:00	DM937	Identifying the Group to Intervene on to Maximize Effect Under Cross-Group Interference	Xiaojing Du; Jiuyong Li; Lin Liu; Debo Cheng; Jixue Liu; Thuc Le
17:00-17:10	DM973	Curriculum Learning Enhanced Dual-Geometric Graph Anomaly Representation Learning	Ya Shen; Xuexiong Luo; Shengbo Chen; Fu Lin; Hao Peng; Shuai Ma
17:10-17:20	DM1250	AutoDSC: Automated Algorithm Selection and Tuning for Non-Stationary Data Stream Clustering	Nilesh Verma; Albert Bifet; Bernhard Pfahringer; Maroua Bahri
17:20-17:30	DM1523	CAGER: Class-Aware Graph Edge Reweighting for Short Text Classification	Yeongwook Yang; Hong-Jun Jang; Byoungwook Kim
17:30-17:40	DM1976	AFS: Affinity-aware Fast Streaming Graph Partitioning Algorithm	Huasheng Liu; Zhenyu Zhang; Xiaoling Wang
17:40-17:50	DM756	Robust Knowledge Graph-based Patent Clustering via Local Semantic Restoration	Jinze Liu; Ke Liang; Jiaxian Lv; Lei Sheng; Yi Wang; Junxun Huang; Haiye Lu; Long Zheng

S14 Applied Track: Real-world AI in finance, healthcare and industry II 15:50-18:00Room: MadridSession Chair: TBD Applied TrackShort · 11 papers

Short Presentation (11 papers) · 7 min presentation + 3 min Q&A/transition

S14 — Applied Track: Real-world AI in finance, healthcare and industry II · Main Day 3 — Sunday, November 15, 2026 · Madrid
Time	Paper ID	Paper Title	Authors
15:50-16:00	DM1022	Beyond Bidding Agents: A Dual-Role Multi-Agent Framework with Dynamic Reserve Pricing for Auto-Bidding Auctions	Enmin Zhao; Linghui Meng; Lu Wang; Yu Li; Ming Pang; Changping Peng; Zhangang Lin; Ching Law
16:00-16:10	DM1175	Highway Accident Severity Prediction in a Large-Scale Real-World Evolving Data Stream	Daniel Nowak Assis; Vinicius M. A. Souza; Jean Paul Barddal; Fabrício Enembreck; Carola Doerr; Maroua Bahri
16:10-16:20	DM1199	Climate Transition Stress Testing for Corporate Credit Risk: A Replicable Data-Mining Pipeline Using ESG Risk Scores	Huynh Long Hung NGUYEN; Alan MEGARGEL; Rajesh Krishna BALAN; Paul Robert GRIFFIN
16:20-16:30	DM1985	Are Foundation Models Ready for Rock Fragmentation? A Multi-Domain Benchmark Across the Mining Lifecycle	Ilya Bolkisev; Vasilii Trabun; Kirill Reshetnikov; Artem Sorokin; Mikhail Ronkin; Aleksandr Kovalenko; Ilya Makarov
16:30-16:40	DM2001	BiGSyn: A Bi-Level Heterogeneous Graph Contrastive Learning Framework for Interpretable Drug Synergy Prediction	Senquan Wang; Hui Fang; Haoran Nan; Xingwei Wang; Qiang He
16:40-16:50	DM2080	Event-Type Propagation Graphs: A Lag-Aware Layer for Predictive Financial Analysis	Yuxuan Li; Bohan Zhang; Guo Yu; Ye Gao; Haipeng Zhang; Yixi Zhou
16:50-17:00	DM2144	From ``Who Is This User?” to ``What Does This Purchase Mean?“: A Deployed Pipeline for Semantic User Profiling at Bank Scale	Ryota Mitsuhashi; Tetsuro Morimura; Hirotake Ito
17:00-17:10	DM2173	LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics	Mariia Baranova; Adrien Petralia; Etienne Le Naour; Nathan Etourneau; Guillaume Hofmann; Themis Palpanas
17:10-17:20	DM253	A3-MSI: Traveltime-Dominated Asymmetric Multimodal Seismic Inversion with Early-arrival Waveforms	JunFeng Lv; Han Yu; Minghao Sun; Jing Li
17:20-17:30	DM874	How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions	Donghao Huang; Tomáš Drietomský; Benjamin Barrett; Zhaoxia WANG
17:30-17:40	DM1257	FAME: Forecastability-Aware Mixture of Experts for Heterogeneous Time Series Forecasting	Qianyang Li; Xingjun Zhang; Shaoxun Wang; Peng Tao; Wei Jia

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