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Updated presentation details (titles, abstracts, author names and affiliations) will be available when the online program is posted, scheduled to occur in mid to late February 2023.

ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction
Dawid Damian Rymarczyk (Jagiellonian University); Daniel Dobrowolski (Jagiellonian University); Tomasz Danel (Jagiellonian University)

Feature Enhanced Zero-Shot Stance Detection via Contrastive Learning
Xuechen Zhao (National University of Defense Technology); Jiaying Zou (National University of Defense Technology); Zhong Zhang (National University of Defense Technology); Feng Xie (National University of Defense Technology); Bin Zhou (National University of Defense Technology); lei tian (National University of Defense Technology)

Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport
Sikun Yang ( Shenzhen Institute of Artificial Intelligence and Robotics for Society; The Chinese University of Hong Kong, Shenzhen); Hongyuan Zha (Shenzhen Institute of Artificial Intelligence and Robotics for Society; The Chinese University of Hong Kong, Shenzhen)

Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms
Yanhao Wang (East China Normal University); Michael Mathioudakis (University of Helsinki); Jia Li (East China Normal University); Francesco Fabbri (Spotify)

ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai (Carnegie Mellon University); Rui Ding (Microsoft Research); Yuanyuan Jiang (Renmin University of China); Shi Han (Microsoft Research); Dongmei Zhang (Microsoft Research Asia)

CISum: Learning Cross-modality Interaction to Enhance Multimodal Semantic Coverage for Multimodal Summarization
Litian Zhang (Beihang University); Xiaoming Zhang (Beihang University); Ziming Guo (BeiHang University); Zhipeng Liu (Beihang University)

Multi-Task Learning with Prior Information
Mengyuan Zhang (Clemson University); Kai Liu ()

Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation
Xiusi Chen (University of California, Los Angeles); Yu Zhang (University of Illinois at Urbana-Champaign); Jinliang Deng (University of Technology Sydney); Jyun-Yu Jiang (Amazon Science); Wei Wang (UCLA)

Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics
Zhengyang Zhou (University of Science and Technology of China); Kuo Yang (University of Science and Technology of China); Wei Sun (University of Science and Technology of China); Binwu Wang ( University of Science and Technology of China); Min Zhou (Huawei Technologies co. ltd); Yunan y Zong (University of Science and Technology of China); Yang Wang (University of Science and Technology of China)

BDA: Bandit-based Search for Transferable Data Augmentation Policies
Shan Lu (University of Alberta); Mingjun Zhao (University of Alberta); Songling Yuan (Tencent); Xiaoli Wang (Tencent); Lei Yang (Tencent); Di Niu (University of Alberta)

StAGN: Spatial-Temporal Adaptive Graph Network via Constranstive Learning for Sleep Stage Classification
Junyang Chen (South China Normal University); Yidan Dai (South China Normal University); Xianhui Chen (New York University); Yingshan Shen (South China Normal University); Yan Luximon (The Hong Kong Polytechnic University); Hailiang Wang (The Hong Kong Polytechnic University); Yuxin HE (Shenzhen Technology University); Wenjun Ma (South China Normal University); Xiaomao Fan (Shenzhen Technology University)

Adaptive Precision Training (AdaPT): A dynamic quantized training approach for DNNs
Lorenz Kummer (University of Vienna); Kevin Sidak (University of Vienna); Tabea Reichmann (University of Vienna); Wilfried Gansterer (Universität Wien)

AlignGraph: A group of Generative Models for Graphs
Kimia Shayestehfard (Northeastern University); Dana Brooks (Northeastern University); Stratis Ioannidis (Northeastern University)

Context-aware Domain Adaptation for Time Series Anomaly Detection
Kwei-Herng Lai (Rice University); Lan Wang (Visa Research); Huiyuan Chen (Visa Research); Kaixiong Zhou (Rice University); Fei Wang (Visa Research); Hao Yang (Visa Research); Xia Hu (Rice University)

UFNRec: Utilizing False Negative Samples for Sequential Recommendation
CHONG LIU (Wechat Search Application Department, Tencent); Xiaoyang Liu (oppo); PINZHENG WANG (Soochow University); RONGQIN ZHENG (Tencent); Lixin Zhang (WeChat Search Application Department, Tencent); Leyu Lin (WeChat Search Application Department, Tencent); ZHIJUN CHEN (OPPO); LIANGLIANG FU (OPPO)

A Physics-guided NN-based Approach for Tropical Cyclone Intensity Estimation
Ziheng Zhou (Tsinghua University); Ying Zhao (" Tsinghua University, China"); Yiyu Qing (Nanjing University of Information Science and Technology); Wenming Jiang (Tsinghua University); Yihan Wu (Tsinghua University); Wenguang Chen (Tsinghua University)

Anomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision Making
Jia-Hao Syu (National Taiwan University); Jerry Chun-Wei Lin (Western Norway University of Applied Sciences); Philip S Yu (UNIVERSITY OF ILLINOIS AT CHICAGO)

Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering
Nairouz Mrabah (Université du Québec à Montréal); Mohamed Bouguessa (University of Quebec at Montreal); Riadh Ksantini (University of Bahrain)

RELIANT: Fair Knowledge Distillation for Graph Neural Networks
Yushun Dong (University of Virginia); Binchi Zhang (University of Virginia); Yiling Yuan (Beijing University of Posts and Telecommunications); Na Zou (Texas A&M University); Qi Wang (Northeastern University); Jundong Li (University of Virginia)

Optimal Smooth Approximation for Quantile Matrix Factorization
Peng Liu (University of Kent); Yi LIU (University of Alberta); Rui Zhu (Deepmind); Linglong Kong (University of Alberta); Bei Jiang (University of Alberta); Di Niu (University of Alberta)

Domain Disentangled Meta-Learning
Xin Zhang (Worcester Polytechnic Institute); Yanhua Li ("Worcester Polytechnic Institute, USA"); Ziming Zhang (Worcester Polytechnic Institute); Zhi-Li Zhang (University of Minnesota)

Fairness-aware Multi-view Clustering
Lecheng Zheng (University of Illinois at Urbana-Champaign); Yada Zhu (IBM); Jingrui He (University of Illinois at Urbana-Champaign)

Group AdaBoost with Fairness Constraint
Zhiyu Xue (MSU); Junyuan Hong (Michigan State University); Jiayu Zhou (Michigan State University)

Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT
Jiaqi Wang (Penn State University); Shenglai Zeng (University of Electronic Science and Technology of China); Zewei Long (University of Illinois Urbana-Champaign); Yaqing Wang (Google); Houping Xiao (Georgia State University); Fenglong Ma (Pennsylvania State University)

A General-Purpose Transferable Predictor for Neural Architecture Search
Fred X. Han (Huawei Technologies); Keith G Mills (University of Alberta); Fabian Chudak (Huawei Technologies); Parsa Riahi (University of British Columbia); Mohammad Salameh (Huawei HiSilicon Lab); Jialin Zhang (Huawei Kirin Solutions); Wei Lu (Huawei Technologies); Shangling Jui (Huawei Kirin Solution); Di Niu (University of Alberta)

STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies
Yingxue Zhang (Binghamton University); Yanhua Li ("Worcester Polytechnic Institute, USA"); Xun Zhou (University of Iowa); Ziming Zhang (Worcester Polytechnic Institute); Jun Luo (Machine Intelligence Lab, Lenovo Group Limited)

Pluggable Deep Thompson Sampling with Applications to Recommendation
Lu Wang (JD.com); Yuhai Song (Tsinghua University); Zhe Wang (JD.com); Haoxiang Wang (Tsinghua University); Yu Li (JD.com); Weiwei Zhou (JD.com); D HM (JD.com); Mona Shao (JD.com); Xiwei Zhao (JD.com); Zhangang Lin (JD.com); Jinghe Hu (JD.com); Jingping Shao (JD.com)

A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule Network
Xiangping Zheng (Renmin University of China); Xun Liang (Renmin University of China); Bo Wu (Renmin University of China); Jun Wang (Swinburne University of Technology); Yuhui Guo (Renmin University of China); Xuan Zhang (Renmin University of China); Yuefeng Ma (Qufu Normal University)

Coarse-to-Fine Open Information Extraction via Relation Oriented Reading Comprehension
Tingxin Li (Cornell University); Rui Meng (BNU-HKBU United International College); Feng Chen (The University of Adelaide); jianming wu (Guangzhou University)

Robust Learning via Golden Symmetric Loss of (un)Trusted Labels
Amirmasoud Ghiassi (TU Delft); Robert Birke (ABB Research); Lydia Chen (TU Delft)

Ranking with submodular functions on the fly
Guangyi Zhang (KTH Royal Institute of Technology); Nikolaj Tatti (Helsinki University); Aristides Gionis (KTH Royal Institute of Technology)

Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering
Lena Greta Marie Bauer (University of Vienna, ds:UniVie); Collin Leiber (LMU Munich); Christian Böhm (University of Vienna); Claudia Plant (University of Vienna, Austria)

Concept Discovery for Fast Adaptation
Shengyu Feng (Carnegie Mellon University); Hanghang Tong (University of Illinois at Urbana-Champaign)

MoVAE: A Variational AutoEncoder for Molecular Graph Generation
Zerun Lin (Shenzhen University); Yuhan Zhang (University of Electronic Science and Technology of China); Lixin Duan (University of Electronic Science and Technology of China); Le Ou-Yang (Shenzhen University); Peilin Zhao (Tencent AI Lab)

Learning Causal Structure on Mixed Data with Tree-Structured Functional Models
Tian Qin (Nanjing University); Tian-Zuo Wang (Nanjing University); Zhi-Hua Zhou (Nanjing University)

Representation Learning on Dynamic Network of Networks
Si Zhang (Meta AI); Yinglong Xia (Facebook); Yan Zhu (Facebook, Inc.); Hanghang Tong (University of Illinois at Urbana-Champaign)

Extrinsic-Intrinsic Representation Learning Framework for Drug Discovery
Tian Xia (Auburn University); Sarp Aykent (Auburn University); Wei-Shinn Ku (Auburn University)

CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection
Shuai Feng (Nanjing University); Wenyu Jiang (Nanjing University); Mingcai Chen (Nanjing university); Yuntao Du (Nanjing University); Hao Cheng (Nanjing University); Yuxin Ge (Nanjing University); Chongjun Wang (Nanjing University)

A Linkage-based Double Imbalanced Graph Learning Framework for Face Clustering
Huafeng Yang (Alibaba Group); Qijie Shen (Alibaba Group); Xingjian Chen (Alibaba Group); Fangyi Zhang (Queensland University of Technology); Rong Du (Alibaba)

Heterogeneous Graph Contrastive Multi-view Learning
Zehong Wang (University of Leeds); Qi Li (Shaoxing University); Donghua Yu (Shaoxing University); Xiaolong Han (Nanjing University of Information Science and Technology); Xiao-Zhi Gao (University of Eastern Finland, Finland); Shigen Shen (Huzhou University)

A Temporal Graphlet Kernel For Classifying Dissemination in Evolving Networks
Lutz Oettershagen (University of Bonn); Nils M Kriege (University of Vienna); Claude Jordan (Universität Bonn); Petra Mutzel (University of Bonn)

An Index For Temporal Closeness Computation in Evolving Graphs
Lutz Oettershagen (University of Bonn); Petra Mutzel (University of Bonn)

Multimodal Graph Learning for Cross-Modal Retrieval
Jingyou Xie (Sun Yat-sen University); Zishuo Zhao (Sun Yat-Sen University); Zhenzhou Lin (Sun Yat-sen University); Ying Shen (Sun Yat-Sen University)

MC-SQ: A Highly Accurate Ensemble for Multi-class Quantification
Gustavo Batista ( UNSW); Zahra Donyavi (University of New South Wales); Adriane Serapiao (UNSW)

Reinforced EM Algorithm for Clustering with Gaussian Mixture Models
Joshua Tobin (Trinity College Dublin); Chin Pang Ho (City University of Hong Kong); Mimi Zhang (Trinity College Dublin)

On Improving Fairness of AI Models with Synthetic Minority Oversampling Techniques
Yan Zhou (university of texas at dallas); Murat Kantarcioglu (UT Dallas); Chris Clifton (Purdue)

Heavy Nodes in a Small Neighborhood: Algorithms and Applications
Huiping Chen (King's College London); Grigorios Loukides (King's College London); Robert Gwadera (Cardiff University); Solon Pissis (CWI)

Understand Influence Maximization via Higher-Order Decomposition
Zonghan Zhang (Mississippi State University); Zhqian Chen (Mississippi State University)

Taxonomy-Guided Fine-Grained Entity Set Expansion
Jinfeng Xiao (University of Illinois at Urbana-Champaign); Mohab Elkaref (IBM Research Europe); Nathan Herr (IBM); Geeth de Mel (IBM Research); Jiawei Han (UIUC)

Balancing Task Coverage and Expert Workload in Team Formation
Karan Vombatkere (Boston University); Evimaria Terzi (Boston University)

Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions
Shengyu Chen (University of Pittsburgh); Yiqun Xie (The University of Maryland); Xiang Li (University of Minnesota Twin Cities); Xu Liang (University of Pittsburgh); Xiaowei Jia (University of Pittsburgh)

Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization Model
Mansoureh Maadi (The University of Melbourne); Hadi Akbarzadeh Khorshidi (The University of Melbourne); Uwe Aickelin (The University of Melbourne)

Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications
Shaoming Xu (University of Minnesota); Ankush Khandelwal (University of Minnesota); Xiang Li (University of Minnesota Twin Cities); Licheng Liu (University of Minnesota ); Jared Willard (University of Minnesota); Rahul Ghosh (University of Minnesota); Kelly Lindsay (University of Minnesota ); Michael Steinbach (University of Minnesota); John L Nieber (University of Minnesota); Vipin Kumar (University of Minnesota); Xiaowei Jia (University of Pittsburgh); Christopher Duffy (Penn State)

Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature
Xiaowei Jia (University of Pittsburgh); Shengyu Chen (University of Pittsburgh); Can Zheng (University of Pittsburgh); Yiqun Xie (The University of Maryland); Zhe Jiang (University of Florida); Nasrin Kalanat (University of Pittsburgh)

GIST: Graph Inference for Structured Time Series
Boya Ma (University at Albany, SUNY); Maxwell J McNeil (University at Albany SUNY); Petko Bogdanov (University at Albany-SUNY)

Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain Recommendation
Yujie Lin (Tencent); Shilei Cao (Tencent); Yufu Chen (Tencent); Xianli Zhang (Xi'an Jiaotong University); Zhen Zhu (Tencent); Yuxin Chen (Tencent); Buyue Qian (Beijing Chaoyang Hospital, Capital Medical University); Zhengchao Zhao (Tencent); Feng Wang (Tencent); Chengxiang Zhuo (Tencent); Zang Li (Tencent)

Hidden Markov Forest for Terrain-Aware Flood Inundation Mapping on Earth Imagery
Zhe Jiang (University of Florida); Yupu Zhang (University of Florida); Saugat Adhikari (The University of Alabama at Birmingham); Da Yan (University of Alabama at Birmingham); Arpan Man Sainju (Middle Tennessee State University); Xiaowei Jia (University of Pittsburgh); Yiqun Xie (The University of Maryland)

It's PageRank All The Way Down: Simplifying Deep Graph Networks
Dominic Jack (University of Melbourne); Sarah Erfani (University of Melbourne); Jeffrey Chan (RMIT University); Sutharshan Rajasegarar (Deakin University); Christopher Leckie (University of Melbourne)

Discovering Multi-Dimensional Time Series Anomalies with K of N Anomaly Detection
Sadaf Tafazoli (UCR); Eamonn Keogh (UC Riverside)

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents
Meng Xiao (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Dongjie Wang (University of Central Florida); Min Wu (Institute for Infocomm Research, ASTAR, Singapore); Ziyue Qiao (Artificial Intelligence Thrust, The Hong Kong University of Science and Technology (Guangzhou)); Pengfei Wang (Computer Network Information Center, Chinese Academy of Sciences); Kunpeng Liu (Portland State University); Yuanchun Zhou (Computer Network Information Center, Chinese Academy of Sciences); Yanjie Fu (University of Central Florida)

STABLE: Identifying and Mitigating Instability in Embeddings of the Degenerate Core
David Liu (Northeastern University); Tina Eliassi-Rad (Northeastern University)

NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis
Xu Ye (Computer network information center, Chinese Academy of Sciences); Meng Xiao (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Zhiyuan Ning (Computer Network Information Center, Chinese Academy of Sciences. University of Chinese Academy of Sciences.); Weiwei Dai (Changsha Aier Eye Hospital); Wenjuan Cui ("Computer Network Information Center, Chinese Academy of Sciences"); Yi Du ("Computer Network Information Center, Chinese Academy of Sciences"); Yuanchun Zhou (Computer Network Information Center, Chinese Academy of Sciences)

Time-delayed Multivariate Time Series Predictions
Hao Niu (KDDI Research, Inc.); Guillaume Habault (KDDI Research, Inc.); Roberto Legaspi (KDDI Research, Inc.); Chuizheng Meng (University of Southern California); Defu Cao (University of Southern California); Shinya Wada (KDDI Research, Inc.); CHIHIRO ONO (KDDI Research, Inc., KDDI Corporation); Yan Liu (USC)

A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning
Zheng Chen (Osaka univerisity); Lingwei Zhu (NAIST); Haohui Jia (Nara Institute Science and Technology); Takashi Matsubara (Osaka University)

Learning to Learn Task Transformations for Improved Few-Shot Classification
Guangtao Zheng (University of Virginia); Qiuling Suo (State University of New York at Buffalo); Mengdi Huai (Iowa Sate University); Aidong Zhang (University of Virginia)

Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property Prediction
Ziqiao Meng (Chinese University of Hong Kong); Yaoman LI (The Chinese University of Hong Kong); Peilin Zhao (Tencent AI Lab); Yang Yu (Tencent AI Lab); Irwin King (The Chinese University of Hong Kong)

CADENCE: Community-Aware Detection of Dynamic Network States
Maxwell J McNeil (University at Albany SUNY); Carolina ES Mattsson (Leiden University ); Frank Takes (Leiden University); Petko Bogdanov (University at Albany-SUNY)

Estimating Propensity Scores with Deep Adaptive Variable Selection
Zhixuan Chu (Ant Group); Mechelle Claridy (University of Georgia); Jose Cordero (University of Georgia); Sheng Li (University of Virginia); Stephen Rathbun (University of Georgia)

Deep Contrastive One-Class Time Series Anomaly Detection
Rui Wang (Beihang University); Chongwei Liu (Beihang University); Xudong Mou (Beihang University); Kai Gao (The University of New South Wales); Xiaohui Guo (Hangzhou Innovation Institute, Beihang University); Pin Liu (China University of Geology); Tianyu Wo (Beihang University); Xudong Liu (Beihang University)

Scalable Batch Acquisition for Deep Bayesian Active Learning
Aleksandr Rubashevskii (Skolkovo Institute of Science and Technology); Daria Kotova (Skolkovo Institute of Science and Technology); Maxim Panov (Technology Innovation Institute)

Causal Discovery by Graph Attention Reinforcement Learning
Dezhi Yang (Shandong University); Guoxian Yu (Shandong University); Jun Wang (Shandong University); Zhongmin Yan (Shandong University); Maozu Guo (Beijing University of Civil Engineering and Architecture)

Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning
Senzhang Wang (Central South University); Hao Yan (Central south university); Jinlong Du (Nanjing University of Aeronautics and Astronautics); Yin Jun (Central South University); Junxing Zhu (National University of Defense Technology); Chaozhuo Li (Beihang University); Jianxin Wang (Central South University)

A novel reject option applied to sleep stage scoring
Dries Van der Plas (KU Leuven); Wannes Meert (KU Leuven); Johan Verbraecken (Antwerp University Hospital); Jesse Davis (KU Leuven)

Subgraph Centralization: A Necessary Step in Graph Anomaly Detection
Zhong Zhuang (Nanjing University); Kai Ming Ting (Nanjing University); Guansong Pang (Singapore Management University); Shuaibin Song (Nanjing University)

Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations
Pengfei Wang (Computer Network Information Center, Chinese Academy of Sciences); Daniel Wang (Trinity Preparatory School); Kunpeng Liu (Portland State University); Dongjie Wang (University of Central Florida); Yuanchun Zhou (Computer Network Information Center, Chinese Academy of Sciences); Leilei Sun (Beihang Univerisity); Yanjie Fu (University of Central Florida)

Node ranking in labeled networks
Chamalee Nisanala Wickrama Arachchi (University of Helsinki); Nikolaj Tatti (Helsinki University)

Why Are We Waiting? Discovering Interpretable Models to Predict Waiting and Sojourn Time from Data
Boris Wiegand (SHS - Stahl-Holding-Saar GmbH & Co. KGaA); Dietrich Klakow (Saarland University); Jilles Vreeken (CISPA Helmholtz Center for Information Security)

Abnormal Event Detection via Hypergraph Contrastive Learning
Bo Yan (Beijing University of Posts and Telecommunications); Cheng Yang (School of Computer Science, Beijing University of Posts and Telecommunications); Chuan Shi (Beijing University of Posts and Telecommunications); Jiawei Liu (Beijing University of Posts and Telecommunications); Xiaochen Wang (Beijing University of Posts and Telecommunications)

Reinforcement Learning Guided Multi-Objective Exam Paper Generation
Yuhu Shang (Tianjin University of Science and Technology); Xuexiong Luo (Macquarie University); lihong wang (CNCERT); Hao Peng (Beihang University); Xiankun Zhang (Tianjin University of Science and Technology); Yimeng Ren (Tianjin University of Science and Technology); Kun Liang (TUST)

Saliency-Augmented Memory Completion for Continual Learning
Guangji Bai (Emory University); Chen Ling (Emory University); Yuyang Gao (Emory University); Zhao Liang (Emory University)

Influence without Authority: Maximizing Information Coverage in Hypergraphs
Peiyan Li (Ludwig Maximilian University of Munich); Honglian Wang (KTH Royal Institute of Technology); Kai Li (Huawei Noah’s Ark Lab); Christian Böhm (LMU Munich)

Sign-Regularized Multi-Task Learning
Guangji Bai (Emory University); Johnny Torres (Escuela Superior Politecnica del Litoral, ESPOL); Junxiang Wang (Emory University); Zhao Liang (Emory University); Cristina L. Abad (Escuela Superior Politecnica del Litoral, ESPOL); Carmen Vaca (Escuela Superior Politecnica del Litoral, ESPOL)

An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems
Jonatan Gøttcke (University of Southern Denmark); Colin Bellinger (NRC and Dalhousie University); Paula Branco (University of Ottawa); Arthur Zimek (University of Southern Denmark)

An Efficient Algorithm for Assessing the Number of $st$-Paths in Large Graphs
Giulia Punzi (University of Pisa); Alessio Conte (University of Pisa); Roberto Grossi (University of Pisa); Andrea Marino (University of Florence)

A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformation
Rodrigo Randel (Polytechnique Montreal); Daniel Aloise (Polytechnique Montreal); Alain Hertz (Polytechnique Montreal)

DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability
Weilin Cong (Pennsylvania State University); Yanhong Wu (Facebook); Yuandong Tian (Meta); Mengting Gu (Visa Research); Yinglong Xia (Facebook); Jason Chen (Meta); Mehrdad Mahdavi (Penn State)

Exact and Heuristic Approaches to Speeding Up the MSM Time Series Distance Computation
Jana Holznigenkemper (University of Marburg); Christian Komusiewicz (University of Marburg); Bernhard Seeger (University of Marburg)

Fisher Scoring Method for Neural Networks Optimization
Jackson de Faria (UFMG); Renato M. Assunção (ESRI); Fabricio Murai (Worcester Polytechnic Institute)

Debiased Imitation Learning for Modulated Temporal Point Processes
Zhuoqun Li (Louisiana State University); Mingxuan Sun (Louisiana State University); Zihan Zhou (Louisiana State University); Hongteng Xu (Renmin University of China)

Optimal Intervention on Weighted Networks via Edge Centrality
Dongyue Li (Northeastern University); Tina Eliassi-Rad (NortheasternUniversity); Hongyang R Zhang (Northeastern University)

Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Kaixiong Zhou (Rice University); Soo-Hyun Choi (Samsung Electronics); Zirui Liu (Rice University); Ninghao Liu (University of Georgia); Fan Yang (Rice University); Rui Chen (Samsung Research America); Li Li (Samsung Research America); Xia Hu (Rice University)

TEM: High Utility Metric Differential Privacy on Text
Ricardo Silva Carvalho (Simon Fraser University); Theodore Vasiloudis (Amazon.com); Oluwaseyi Feyisetan (Meta); Ke Wang (SFU)

Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation
Ravdeep Pasricha (University of California, Riverside); Uday Singh Saini (University of California, Riverside); Nicholas D Sidiropoulos (University of Virginia); Fei Fang (Carnegie Mellon University); Kevin S Chan (DEVCOM ARL); Evangelos Papalexakis (UC Riverside)

XDC: Adaptive Cross Domain Short Text Clustering
Saed Rezayi (University of Georgia); Handong Zhao (Adobe Research); Ronghang Zhu (University of Georgia); Sheng Li (University of Virginia)

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation
Yan Li (University of Minnesota); Mingzhou Yang (UNIVERSITY OF MINNESOTA); Matthew J Eagon (University of Minnesota); Majid Farhadloo (University of Minnesota); Yiqun Xie (The University of Maryland); William Northrop (University of Minnesota); Shashi Shekhar (University of Minnesota)

Probabilistic Inverse Modeling: An Application in Hydrology
Somya Sharma (U. Minnesota); Rahul Ghosh (University of Minnesota); Arvind Renganathan (University of Minnesota); Xiang Li (University of Minnesota Twin Cities); Snigdhansu Chatterjee (University of Minnesota); John L Nieber (University of Minnesota); Christopher Duffy (Penn State); Vipin Kumar (University of Minnesota)

Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection
Parikshit Ram (IBM Research AI); Alexander G Gray (IBM); Horst Samulowitz (IBM Research); Gregory Bramble (IBM Research)

Penalized Non-Linear Canonical Correlation Analysis for Ordinal Data with Application to the International Classification of Functioning, Disability and Health
Jan Gertheiss (Helmut Schmidt University); Russell T Shinohara (University of Pennsylvania)

Attention-Based Multi-modal Missing Value Imputation for Time Series Data with High Missing Rate
Khandakar Tanvir Ahmed (University of Central Florida); Sudipto Baul (University of Central Florida); Yanjie Fu (University of Central Florida); Wei Zhang (University of Central Florida)

Probabilistic Decomposition Transformer for Time Series Forecasting
Junlong Tong (Southeast University); Liping Xie (Southeast University); KanJian Zhang (School of automation, Southeast University)

Multi-state Survival Analysis using Pseudo value-based Deep Neural Networks
Md Mahmudur Rahman (University of Maryland Baltimore County); Sanjay Purushotham (University of Maryland, Baltimore County)

PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series
Li Zhang (George Mason University); Jiahao Ding (University of Houston); Yifeng Gao (The University of Texas Rio Grande Valley); Jessica Lin (George Mason University)

Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets
Praveen Ravirathinam (University of Minnasota); Rahul Ghosh (University of Minnesota); Ke Wang (University of Minnesota, Twin Cities); Keyang Xuan (University of Minnesota); Ankush Khandelwal (University of Minnesota); Hilary Dugan (University of Wisconsin-Madison); Paul Hanson (University of Wisconsin-Madison); Vipin Kumar (University of Minnesota)

Hierarchical Neural Topic Model with embedding cluster and neural variational inference
Ningjing Wang (Beihang University); deqing wang (beihang University); Ting Jiang (Beihang university); Chenguang Du (Beihang University); Chuyu Fang (Beihang University); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University)

Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples
Jianxiang Yu (East China Normal University); Xiang Li (East China Normal University)