SDM23 Accepted Papers | SIAM

Accepted Papers

Visualizer: Accepted Papers

The following list is provided so participants can review this information prior to 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 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 (; Yuhai Song (Tsinghua University); Zhe Wang (; Haoxiang Wang (Tsinghua University); Yu Li (; Weiwei Zhou (; D HM (; Mona Shao (; Xiwei Zhao (; Zhangang Lin (; Jinghe Hu (; Jingping Shao (

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 (; 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)