The following list is provided so participants can review this information before posting of the online program. Details appear as originally submitted. Changes will not be made to this page.
Updated presentation details (titles, abstracts, author names, and affiliations) will be available when the online program is posted, scheduled for late February 2024.
**Bluesky Papers**

Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling
Shaoming Xu (University of Minnesota), Ankush Khandelwal (University of Minnesota), Arvind Renganathan (University of Minnesota), Vipin Kumar (University of Minnesota)

CausalCDR: Causal Embedding Learning for Cross-domain Recommendation
Fengxin Li (Renmin University of China), Hongyan Liu (Tsinghua University), Jun He (Renmin University of China), Xiaoyong Du (Renmin University of China)

Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal Data
Nevo Itzhak (Ben-Gurion University), Szymon Jaroszewicz (Polish Academy of Sciences), Robert Moskovitch (Ben-Gurion University)

Personalized Federated Learning with Contextual Modulation and Meta-Learning
Anna Vettoruzzo (Halmstad University), Mohamed-Rafik Bouguelia (Halmstad University),Thorsteinn S Rognvaldsson (Halmstad university)

Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction
Kun Peng (Institute of Information Engineering, Chinese Academy of Sciences & School of Cyber Security, University of Chinese Academy of Sciences), Lei Jiang (Institute of Information Engineering, Chinese Academy of Sciences), Hao Peng (Beihang University), Rui Liu (Institute of Information Engineering, Chinese Academy of Sciences & School of Cyber Security, University of Chinese Academy of Sciences), Zhengtao Yu (Kunming University of Science and Technology), Jiaqian Ren (Institute of Information Engineering Chinese Academy of Sciences), Zhifeng Hao (University of Shantou), Philip S Yu (UIC)

Test-Time Training for Spatial-Temporal Forecasting
Changlu Chen (UTS), Yanbin Liu (The University of Western Australia), Ling Chen (University of Technology, Sydney, Australia), Chengqi Zhang (University of Technology Sydney)

Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
Karuna Bhaila (University of Arkansas), Wen Huang (University of Arkansas), Yongkai Wu (Clemson University), Xintao Wu (University of Arkansas)

Robust Sparse Online Learning for Data Streams with Streaming Features
Zhong Chen (Southern Illinois University), Yi He (Old Dominion University), Di Wu (College of Computer and Information Science, Southwest University), Huixin Zhan (Texas Tech University), Victor S. Sheng (Texas Tech University), Kun Zhang (Xavier University of Louisiana)

Active Learning for Graphs with Noisy Structures
Hongliang Chi (Rensselaer Polytechnic Institute), Cong Qi (New Jersey Institute of Technology), Suhang Wang (Pennsylvania State University), Yao Ma (Rensselaer Polytechnic Institute)

Helper Recommendation with seniority control in Online Health Community
Junruo Gao (China Telecom Cloud Technology Co., Ltd), Chen Ling (Emory University), Carl Yang (Emory University), Liang Zhao (Emory University)

Semi-Supervised Clustering via Structural Entropy with Different Constraints
Guangjie Zeng (Beihang University), Hao Peng (Beihang University), Angsheng Li (Beihang University), Zhiwei Liu (Salesforce), Runze Yang (Beihang University), Chunyang Liu (Didichuxing), Lifang He (Lehigh University)

XGExplainer: Robust Evaluation-based Explanation for Graph Neural Networks
Ryoji Kubo (New York University Abu Dhabi), Djellel Difallah (NYU)

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution
Wang Lu (Institute of Computing Technology, Chinese Academy of Sciences), Jindong Wang (Microsoft Research), Yidong Wang (Tokyo Institute of Technology), Xing Xie (Microsoft Research Asia)

Dimensionality-Aware Outlier Detection
Alastair Anderberg (The University of Newcastle), James Bailey (The University of Melbourne), Ricardo J. G. B. Campello (University of Southern Denmark), Michael E Houle (New Jersey Institute of Technology), Henrique Marques (University of Southern Denmark), Milos Radovanovic (U. Novi Sad), Arthur Zimek (University of Southern Denmark)

PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
Audrey Der (University of California, Riverside), Michael Yeh (Visa Research), Yan Zheng (Visa Research), Junpeng Wang (Visa Research), Zhongfang Zhuang (Visa Research), Liang Wang (Visa Research), Wei Zhang (Visa Research), Eamonn Keogh (UC Riverside)

Dual-disentangled Deep Multiple Clustering
Jiawei Yao (University of Washington), Juhua Hu (University of Washington)

Light POI-Guided Conversational Recommder System based on Adaptive Space
Meng Yuan (Beihang University), Fuwei Zhang (Beihang University), Yiqi Tong (Institute of Artificial Intelligence, Beihang University), Yuxin Ying (Institute of Artificial Intelligence, Beihang University), Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University), deqing wang (beihang University), Baoxing Huai (Huawei Cloud), Yi Zhang (Huawei Cloud), jia su (Huawei Cloud)

Semi-Supervised Isolation Forest for Anomaly Detection
Luca Stradiotti (KU Leuven), Lorenzo Perini (KU Leuven), Jesse Davis (KU Leuven)

GENIUS: Subteam Replacement with Clustering-based Graph Neural Networks
Chuxuan Hu (University of Illinois at Urbana-Champaign), Qinghai Zhou (University of Illinois at Urbana-Champaign), Hanghang Tong (University of Illinois at Urbana-Champaign)

Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks
Yewen Wang (UCLA), Shichang Zhang (UC Los Angeles), Junghoo Cho (University of California, Los Angeles), Yizhou Sun (UCLA)

Neural Locality Sensitive Hashing for Blocking in Entity Resolution
Runhui Wang (Rutgers University), Luyang Kong (Amazon.com Services, Inc.), yefan tao (amazon), Andrew Borthwick (Amazon), Davor Golac (Amazon.com Services, Inc.), Henrik Johnson (Amazon.com Services, Inc.), Shadie Hijazi (Amazon.com Services, Inc.), Dong Deng (Rutgers University - New Brunswick), Yongfeng Zhang (Rutgers University)

Deep Efficient Private Neighbor Generation for Subgraph Federated Learning
Ke Zhang (ClusterTech Limited), Lichao Sun (Lehigh University), Bolin Ding ("Data Analytics and Intelligence Lab, Alibaba Group"), S.M. Yiu (The University of Hong Kong), Carl Yang (Emory University)

Time-Transformer: Integrating Local and Global Features for Better Time Series Generation
Yuansan Liu (The University of Melbourne), Sudanthi Wijewickrema (University of Melbourne), Ang Li (Aviation University of Air Force), Christofer W Bester (University of Melbourne), Stephen O'Leary (Department of Surgery (Otolaryngology), University of Melbourne, Melbourne), James Bailey (The University of Melbourne)

Stable Synthetic Control with Anomaly Detection for Causal Inference
Qiang Li (Rutgers University), Yiqiao Sun (Bytedance), Linsey Pang (Salesforce), Liang Sun (Alibaba Group), Qingsong Wen (Alibaba Group U.S.)

Feature Engineered Random Forests
Saket Sathe (Amazon), Charu Aggarwal (IBM), Horst Samulowitz (IBM Research), Deepak Turaga (IBM)

CaMU: Disentangling Causal Effects in Deep Model Unlearning
Shaofei Shen (The University of Queensland), Chenhao Zhang (University of Queensland), Alina N Bialkowski (The University of Queensland), Weitong Chen (Adelaide University), Miao Xu (University of Queensland)

Dual-stage Flows-based Generative Modeling for Traceable Urban Planning
Xuanming Hu (Arizona State University), Wei Fan (University of Central Florida), Dongjie Wang (University of Central Florida), Pengyang Wang (University of Macau), Yong Li (Tsinghua University), Yanjie Fu (University of Central Florida)

Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation
Tianqi Sun (School of Software and Microelectronics, Peking University, Beijing, China), Hongrui Guo (School of Software and Microelectronics, Peking University, Beijing, China), Zihan Zhang (School of Software and Microelectronics, Peking University, Beijing, China), Hongzhi Liu (Peking University), Zhonghai Wu (Peking University)

Training Sparse Graph Neural Networks via Pruning and Sprouting
Xueqi Ma (University of Melbourne), Xingjun Ma (Fudan University), Sarah Erfani (University of Melbourne), James Bailey (University of Melbourne)

On the number of iterations of the DBA algorithm
Frederik Brüning (University of Bonn), Anne Driemel (University of Bonn), Alperen Ergür (The University of Texas at San Antonio), Heiko Röglin (Universität Bonn)

Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem
Niklas A Strauß (LMU Munich), Matthias Schubert (Ludwig-Maximilians-Universität München)

Pattern-based Time Series Semantic Segmentation with Gradual State Transitions
Louis Carpentier (KU Leuven), Len Feremans (Universiteit Antwerpen), Wannes Meert (KU Leuven), Mathias Verbeke (KU Leuven)

DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion
Zhenzhen Chu (East China Normal University), Jiayu Chen (alibaba), Cen Chen (East China Normal University), Chengyu Wang (Alibaba Group), Ziheng Wu (Alibaba Group), Jun Huang (Alibaba Group), Weining Qian (East China Normal University)

Ada-VAD: Domain Adaptable Video Anomaly Detection
Dongliang Guo (University of Virginia), Yun Fu (Northeastern University), Sheng Li (University of Virginia)

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation
Yuan Zhong (Penn state university), Suhan Cui (Penn state university), Jiaqi Wang (Penn State University), Ziyi Yin (Pennsylvania State University), Xiaochen Wang (Penn State University), Yaqing Wang (Purdue University), Houping Xiao (Georgia State University), Mengdi Huai (Iowa Sate University), Ting Wang (Stony Brook University), Fenglong Ma (Pennsylvania State University)

EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series Mst
Shamima Hossain (UCR), Christos Faloutsos (CMU), Boris Baer (University of California Riverside), Hyoseung Kim (UC Riverside), Vassilis J. Tsotras (UC Riverside)

Graph-based Student Knowledge Profile for Online Intelligent Education
Jinze Wu (University of Science and Technology of China), Haotian Zhang (University of Science and Technology of China), Zhenya Huang (University of Science and Technology of China), liang ding (IFLYTEK), Qi Liu (" University of Science and Technology of China, China"), Jing Sha (iFLYTEK Research), Enhong Chen (University of Science and Technology of China), Shijin Wang (State Key Laboratory of Cognitive Intelligence)

Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems
Cong Fu (Texas A&M University), Xuan Zhang (Texas A&M University), Huixin Zhang (Texas A&M University), Hongyi Ling (Texas A&M University), Shenglong Xu (Texas A&M University), Shuiwang Ji (Texas A&M University)

A Novel Hybrid Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics System
Lisha Ye (Cainiao Network), Jianfeng ZHOU (Cainiao Network), Zhe Yin (Cainiao network), Kunpeng Han (Cainiao Network), Haoyuan Hu (Cainiao Network), DongjinSong (University of Connecticut)

An Image Dataset for Benchmarking Recommender Systems with Raw Pixels
Yu Cheng (Westlake University), Yunzhu Pan (University of Electronic Science and Technology of China), Jiaqi Zhang (Westlake University), Yongxin Ni (Westlake University), Aixin Sun (Nanyang Technological University), Fajie Yuan (Westlake University)

Refining Pre-trained Language Models for Domain Adaptation with Entity-Aware Discriminative and Contrastive Learning
Jian Yang (Xidian University), Hu Xinyu (SYSU), Yulong Shen (Xidian University), Gang Xiao (National Key Laboratory for Complex Systems Simulation)

HADT: Human-AI Diagnostic Team via Hierarchical Reinforcement Learning
Xuehan Zhao (Northwestern Polytechnical University), Jiaqi Liu (Northwestern Polytechnical University), Zhiwen Yu (Northwestern Polytechnical University), Bin Guo (Northwestern Polytechnical University)

Graph Summarization For Preserving Spectral Characteristics
Houquan Zhou (Institute of Computing Technology, Chinese Academy of Science), Shenghua Liu (Institute of Computing Technology, CAS, China), Huawei Shen (Institute of Computing Technology, Chinese Academy of Sciences), Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences)

CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction
Liang Wang (Institute of Automation, Chinese Academy of Sciences), Hao Fu (Meituan), Shu Wu (NLPR, China), Qiang Liu (Institute of Automation, Chinese Academy of Sciences), Xuelei Tan (Meituan), Fangsheng Huang (Meituan), Mengdi Zhang (Meituan-Dianping Group), Wei Wu (Meituan)

Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
Ziqiang Cui (City University of Hong Kong), Xing Tang (Tencent), Yang Qiao (Tencent), Bowei He (City University of Hong Kong), Liang Chen (Tencent), Xiuqiang He (Tencent), Chen Ma (City University of Hong Kong)

Utility-Oriented String Mining
Giulia Bernardini (University of Trieste), Huiping Chen (King's College London), Alessio Conte (University of Pisa), Roberto Grossi (University of Pisa), Veronica Guerrini (University of Pisa), Grigorios Loukides (King's College London), Nadia Pisanti (University of Pisa), Solon Pissis (CWI)

MISS: Multiclass Interpretable Scoring Systems
Michal K Grzeszczyk (Sano Centre for Computational Medicine), Tomasz Trzcinski (Warsaw University of Technology, IDEAS NCBR, Tooploox), Arkadiusz Sitek (Massachusetts General Hospital)

Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation
QIngfeng Li (Northwest normal university), Huifang Ma (Northwest Normal University), Wangyu Jin (Northwest Normal University), Yugang Ji (Alibaba Group), Zhixin Li (Guangxi Normal University)

FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
Hongyu Zhang (Harbin Institute of Technology, Shenzhen), Dongyi Zheng (sysu), Xu Yang (Harbin lnstitute of Technology, Shenzhen ), Jiyuan Feng (Harbin Institute of Technology, Shenzhen), Qing Liao (Harbin Institute of Technology (Shenzhen)

MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies
Ziqi Yuan (Beihang University), Qingyun Sun (Beihang University), Haoyi Zhou (Beihang University), zukun zhu (Beihang University), Jianxin Li (Beihang University)

EsaCL: An Efficient Continual Learning Algorithm
Weijieying Ren (The Pennsylvania State University), Vasant Honavar (The Pennsylvania State University)

Only Attending What Matter within Trajectories -- Memory-Efficient Trajectory Attention
Mingzhi Hu (Worcester Polytechnic Institute), Xin Zhang (San Diego State University), Yanhua Li (Worcester Polytechnic Institute, USA), Yiqun Xie (The University of Maryland), Xiaowei Jia (University of Pittsburgh), Xun Zhou (Harbin Institute of Technology, Shenzhen), Jun Luo (Logistics and Supply Chain MultiTech R&D Centre)

Multi-polytope Machine for Classification
Dzung Phan (IBM Research, T. J. Watson Research Center), Lam M Nguyen (IBM Research, Thomas J. Watson Research Center), Jayant Kalagnanam (IBM Research), Chandra Reddy (IBM T. J. Watson Research Center)

Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features
Erhu He (University of Pittsburgh), Yiqun Xie (The University of Maryland), Licheng Liu (University of Minnesota ), Zhenong Jin (University of Minnesota), Dajun Zhang (Carleton University), Xiaowei Jia (University of Pittsburgh)

Robust Estimation of Causal Heteroscedastic Noise Models
Quang-Duy Tran (Deakin University), Bao Duong (Deakin University), Phuoc Nguyen (Deakin University), Thin Nguyen (Deakin University)

DimReg: Embedding Dimension Search via Regularization for Recommender Systems
Mingjun Zhao (University of Alberta), Liyao Jiang (University of Alberta), Yakun Yu (University of Alberta), Xinmin Wang (Tencent Technology (Shenzhen) Co., Ltd), Yi Yuan (Tencent Technology (Shenzhen) Co., Ltd), Zheng Wei (Tencent), Di Niu (University of Alberta)

COMBOOD: A Semiparametric Approach for Detecting Out-of-distribution Data for Image Classification
Magesh Rajasekaran (LSU), Md Saiful Islam Sajol (Louisiana State University), Frej Berglind (Louisiana State University), Supratik Mukhopadhyay (Louisiana State University), Kamalika Das (Intuit)

Towards Tuning-Free Minimum-Volume Nonnegative Matrix Factorization
Duc Toan Nguyen (Texas Christian University), Eric Chi (Rice University)

Identifying and Uses of Deep Learning Backbones via Pattern Mining
Michael J Livanos (University of California, Davis), Ian Davidson (UC Davis)

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
Suhan Cui (Pennsylvania State University), Jiaqi Wang (Penn State University), Yuan Zhong (Penn state university), Han Liu (Dalian University of Technology), Ting Wang (Penn State), Fenglong Ma (Pennsylvania State University)

Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning
Donglin Zhan (Columbia University), Yusheng Dai (University of Science and Technology of China), Yiwei Dong (Renmin University of China), Jinghai He (University of california, Berkeley), Zhenyi Wang (University of Maryland, College Park), James Anderson (Columbia University)

Differences Between Hard and Noisy-labeled Samples: An Empirical Study
Mahsa Forouzesh (EPFL), Patrick Thiran (EPFL)

HyperFLoRA: Federated Learning with Instantaneous Personalization
Qikai Lu (University of Alberta), Di Niu (University of Alberta), Mohammadamin Samadi Khoshkho (University of Alberta), Baochun Li (University of Toronto)

GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model
Zhiyu Zhu (The University of Sydney), Huaming Chen (The University of Sydney), Xinyi Wang (Jiangsu University), Jiayu Zhang (SuzhouYierqi), Zhibo Jin (The University of Sydney), Kim-Kwang Raymond Choo (University of Texas at San Antonio), Jun Shen (University of Wollongong), Dong Yuan (The University of Sydney)

Feature Cognition Enhancement via Interaction-Aware Automated Transformation
Ehtesamul Azim (University of Central Florida), Dongjie Wang (University of Central Florida), Kunpeng Liu (Portland State University), Wei Zhang (University of Central Florida), Yanjie Fu (Arizona State University)

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices
Ji Liu (Baidu Research), Tianshi Che (Auburn University), Yang Zhou (Auburn University), Ruoming Jin (Kent State University), Huaiyu Dai (NC State University), Dejing Dou (BCG), Patrick Valduriez (INRIA)

On Robust Wasserstein Barycenter: The Model and Algorithm
"Xu Wang ( University of Science and Technology of China), Jiawei Huang (University of Science and Technology of China), Qingyuan Yang (University of Science and Technology of China), Jinpeng Zhang (University of Science and Technology of China)

Pretraining Molecules with Explicit Substructure Information
Yuting Ma (Dalian University of Technology), Shuo Yu (Dalian University of Technology), Yanming Shen (Dalian University of Technology)

Tensorized Hypergraph Neural Networks
Maolin Wang (City university of Hong Kong), Yaoming Zhen (City University of Hong Kong), Yu Pan (Harbin Institute of Technology, Shenzhen), Yao Zhao (Ant Group), Chenyi Zhuang (Ant Group), Zenglin Xu (Harbin Institute of Technology, Shenzhen), Ruocheng Guo (ByteDance Research), Xiangyu Zhao (City University of Hong Kong)

Variational Invariant Representation Learning for Multimodal Recommendation
Wei Yang (University of Chinese Academy of Sciences), Haoran Zhang (Bytedance Technology), Li Zhang (Bytedance Technology)

UPFL: Unsupervised Personalized Federated Learning towards New Clients
Tiandi Ye (East China Normal University), Cen Chen (East China Normal University), Yinggui Wang (Ant Group), Xiang Li (East China Normal University), Ming Gao (East China Normal University)

RHINE: A Regime-Switching Model with Nonlinear Representation for Discovering and Forecasting Regimes in Financial Markets
Kunpeng Xu (University of Sherbrooke), Lifei Chen (Fujian Normal University), Jean-Marc Patenaude (Laplace Insights), Shengrui Wang (University of Sherbrooke)

Denoising Long and Short-term Interests for Sequential Recommendation
Xinyu Zhang (Beihang University), Beibei Li (College of Computer, Chongqing University), Beihong Jin (Institute of Software, Chinese Academy of Sciences)

Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning
Reda Khoufache (DAVID Lab, University of Versailles, Université Paris-Saclay), Mustapha Lebbah (DAVID Lab, University of Versailles, Université Paris-Saclay,), Hanene AZZAG (university of Sorbonne Paris Nord), Etienne Goffinet (Technology Innovation Institute), Djamel Bouchaffra (CDTA)

DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation
Zhiqiang Guo (School of Computer Science and Technology, Huazhong University of Science and Technology), Guohui Li (School of Computer Science and Technology Huazhong University of Science and Technology), Jianjun Li (School of Computer Science and Technology, Huazhong University of Science and Technology), Chaoyang Wang (Wuhan Digital Engineering Institute), Si Shi (Guangdong Laboratory of Artificial Intelligence and Digital EconomySZ）

CoLafier: Collaborative Noisy Label Purifier With LID Guidance
Dongyu Zhang (Worcester Polytechnic Institute), Ruofan Hu (Worcester Polytechnic Institute), Elke A Rundensteiner (Worcester Polytechnic Institute)

3D Molecular Geometry Analysis with 2D Graphs
Zhao Xu (Texas A&M University), Yaochen Xie (Texas A&M University), Youzhi Luo (Texas A&M University), Xuan Zhang (Texas A&M University), Xinyi Xu (Xidian University), Meng Liu (Texas A&M University), Kaleb Dickerson (Texas A&M University), Cheng Deng (Xidian University), Maho Nakata (RIKEN), Shuiwang Ji (Texas A&M University)

Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction
Nasrin Kalanat (University of Pittsburgh), Yiqun Xie (The University of Maryland), Yanhua Li (Worcester Polytechnic Institute, USA), Xiaowei Jia (University of Pittsburgh)

Decentralized Stochastic Compositional Gradient Descent for AUPRC Maximization
Hongchang Gao (Temple University), Yubin Duan (Temple University), Yihan Zhang (Temple University), JieWu (Temple University )

User Migration across Multiple Social Media Platforms
Ujun Jeong (Arizona State University), Ayushi Nirmal (Arizona State University), Kritshekhar Jha (Arizona State University), Xu Tang (Arizona State University), H. Russell Bernard (Arizona State University), Huan Liu (Arizona State University)

Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management
Somya Sharma (U. Minnesota), Kelly Lindsay (University of Minnesota ), Neel Chatterjee (University of Minnesota, Twin Cities), Rohan P Patil (Indian Institue of Technology Gandhinagar), IlkayAltintas De Callafon (UCSD), Daniel Giron (Colorado State University), Michael Steinbach (University of Minnesota), Mai Nguyen (University of California San Diego), Vipin Kumar (University of Minnesota)

Vietoris-Rips Complex: A New Direction for Cross-Domain Cold-Start Recommendation
Ajay Krishna Vajjala (George Mason University), Dipak Meher (George Mason University), Shrunal Pothagoni (George Mason University), Ziwei Zhu (George Mason University), David S. Rosenblum (George Mason University)

STES: A Spatiotemporal Explanation Supervision Framework
Dazhou Yu (Emory University), Binbin Chen (University of Pennsylvania), Yun Li (Emory university), Suman K Dhakal (George Mason University), Yifei Zhang (Emory University), Zhenke Liu (Emory University), Minxing Zhang (Duke University), Jie Zhang (George Mason University), Liang Zhao (Emory University)

An Exemplars-Based Approach for Explainable Clustering: Complexity and Efficient Approximation Algorithms
Ian Davidson (UC Davis), Michael J Livanos (University of California, Davis), Antoine Gourru (University of Lyon), Peter Walker (Naval Medical Research Center), Julien Velcin (University of Lyon), S S Ravi (Biocomplexity Institute)

Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An Application in Hydrology
Rahul Ghosh (University of Minnesota), Arvind Renganathan (University of Minnesota), Wallace Mcaliley (USGS), Michael Steinbach (University of Minnesota), Christopher Duffy (Penn State University), Vipin Kumar (University of Minnesota)

Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data
Majid Farhadloo (University of Minnesota), Arun Sharma (University of Minnesota), Jayant Gupta (University of Minnesota), Alexey Leontovich (Mayo Clinic), Svetomir Markovic (Mayo Clinic), Shashi Shekhar (University of Minnesota)

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training
Juntao Tan (Rutgers University), Shelby Heinecke (Salesforce Research), Zhiwei Liu (Salesforce), Yongjun Chen (Salesforce Research), Yongfeng Zhang (Rutgers University), Huan Wang (Salesforce Research)

Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach
Praveen Ravirathinam (University of Minnasota), Rahul Ghosh (University of Minnesota), Ankush Khandelwal (University of Minnesota), Xiaowei Jia (University of Pittsburgh), David Mulla (University of Minnesota), Vipin Kumar (University of Minnesota)

Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification
Uday Singh Saini (University of California, Riverside), Zhongfang Zhuang (Visa Research), Michael Yeh (Visa Research), Wei Zhang (Visa Research), Evangelos Papalexakis (UC Riverside)

Self-Similar Graph Neural Network for Hierarchical Graph Learning
Zheng Zhang (Emory University), Liang Zhao (Emory University)

Non-Euclidean Spatial Graph Neural Network
Zheng Zhang (Emory University), Sirui Li (Emory University), Jingcheng Zhou (The University of Manchester), Junxiang Wang (Emory University), Abhinav Angirekula (Thomas Jefferson High School), Allen Zhang (Emory University), Liang Zhao (Emory University)

H^2ABM: Heterogeneous Agent-based model on Hypergraphs to Capture Group Interactions
Vivek Anand (Georgia Institute of Technology), Jiaming Cui (Georgia Institute of Technology), Jack C Heavey (University of Virginia), Anil Vullikanti (Biocomplexity Institute and Dept of Computer Science, University of Virginia), B. Aditya Prakash (Georgia Institute of Technology)

Bridging Semantics: Mobility Analytics Framework for Knowledge Transfer
Shreya Ghosh (Penn State), Prasenjit Mitra (The Pennsylvania State University)

Geospatial Topological Relation Extraction from Text with Knowledge Augmentation
WEI HU (University of Illinois Urbana-Champaign), Bowen Jin (Tsinghua University), Minhao Jiang (University of Illinois, Urbana Champaign), Sizhe Zhou (University of Illinois at Urbana Champaign), Zhaonan Wang (University of Illinois Urbana-Champaign), Jiawei Han (UIUC), Shaowen Wang (University of Illinois Urbana-Champaign)

Unified Modeling and Clustering of Mobility Trajectories with Spatiotemporal Point Processes
Haowen Lin (University of Southern California), Yao-Yi Chiang (University of Minnesota), Li Xiong (Emory University), Cyrus Shahabi (University of Southern California)

Disinformation Detection: An Evolving Challenge in the Age of LLMs
Bohan Jiang (Arizona State University), Zhen Tan (Arizona State University), Ayushi Nirmal (Arizona State University), Huan Liu (Arizona State University)

YOLO-OCR: End-to-end Compound Figure Separation and Label Recognition of Images in Scientific Publications
Meng Shuo (City University of Hong Kong), Xinshuo Liang (City University of Hong Kong), Shuai Zhang (City University of Hong Kong), Qi Le Lei (City University of Hong Kong), HanbaiWu (City University of Hong Kong), Saira IQBAL (City University of Hong Kong), Jinlian Hu (City University of Hong Kong) Word Embedding with Neural Probabilistic Prior Shaogang Ren (Texas A&M University), Dingcheng Li (Baidu), Ping Li (Baidu)

Label Distribution Learning-Enhanced Dual-KNN for Text Classification
Bo Yuan (Zhejiang University), Yulin Chen (Zhejiang University), Zhen Tan (Arizona State University), Wang Jinyan (Zhejiang University), Huan Liu (Arizona State University), Yin Zhang (Zhejiang University)

**Data Silences: How to Unsilence the Uncertainties in Data Science**
Michael Muller (IBM Research)

**Foundation Models for Spatiotemporal Tasks in the Physical World**
Zhe Jiang (University of Florida), Yu Wang (University of Florida), Zelin Xu (University of Florida)

**Blue Sky: Multilingual, Multimodal Domain Independent Deception Detection**
Dainis Boumber (University of Houston), Rakesh M. Verma (University of Houston), Fatima Zhara Qachfar (University of Houston)