SDM A

103 papers

YearTitle / Authors
20243D Molecular Geometry Analysis with 2D Graphs.
Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
2024A Novel Hybrid Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics System.
Lisha Ye, Jianfeng Zhou, Zhe Yin, Kunpeng Han, Haoyuan Hu, Dongjin Song
2024AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices.
Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
2024Active Learning for Graphs with Noisy Structures.
Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma
2024Ada-VAD: Domain Adaptable Video Anomaly Detection.
Dongliang Guo, Yun Fu, Sheng Li
2024An Exemplars-Based Approach for Explainable Clustering: Complexity and Efficient Approximation Algorithms.
Ian Davidson, Michael J. Livanos, Antoine Gourru, Peter B. Walker, Julien Velcin, S. S. Ravi
2024An Image Dataset for Benchmarking Recommender Systems with Raw Pixels.
Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan
2024Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification.
Uday Singh Saini, Zhongfang Zhuang, Chin-Chia Michael Yeh, Wei Zhang, Evangelos E. Papalexakis
2024Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions.
Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma
2024Blue Sky: Multilingual, Multimodal Domain Independent Deception Detection.
Dainis Boumber, Rakesh M. Verma, Fatima Zahra Qachfar
2024Bridging Semantics: Mobility Analytics Framework for Knowledge Transfer.
Shreya Ghosh, Prasenjit Mitra
2024CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction.
Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu
2024COMBOOD: A Semiparametric Approach for Detecting Out-of-distribution Data for Image Classification.
Magesh Rajasekaran, Md Saiful Islam Sajol, Frej Berglind, Supratik Mukhopadhyay, Kamalika Das
2024CaMU: Disentangling Causal Effects in Deep Model Unlearning.
Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu
2024CausalCDR: Causal Embedding Learning for Cross-domain Recommendation.
Fengxin Li, Hongyan Liu, Jun He, Xiaoyong Du
2024CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance.
Dongyu Zhang, Ruofan Hu, Elke A. Rundensteiner
2024Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
2024Data Silences: How to Unsilence the Uncertainties in Data Science.
Michael Muller
2024Decentralized Stochastic Compositional Gradient Descent for AUPRC Maximization.
Hongchang Gao, Yubin Duan, Yihan Zhang, Jie Wu
2024Deep Efficient Private Neighbor Generation for Subgraph Federated Learning.
Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang
2024Denoising Long- and Short-term Interests for Sequential Recommendation.
Xinyu Zhang, Beibei Li, Beihong Jin
2024Differences Between Hard and Noisy-labeled Samples: An Empirical Study.
Mahsa Forouzesh, Patrick Thiran
2024DimReg: Embedding Dimension Search via Regularization for Recommender Systems.
Mingjun Zhao, Liyao Jiang, Yakun Yu, Xinmin Wang, Yi Yuan, Zheng Wei, Di Niu
2024Dimensionality-Aware Outlier Detection.
Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek
2024Disinformation Detection: An Evolving Challenge in the Age of LLMs.
Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu
2024Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning.
Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2024Dual-disentangled Deep Multiple Clustering.
Jiawei Yao, Juhua Hu
2024Dual-stage Flows-based Generative Modeling for Traceable Urban Planning.
Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu
2024DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion.
Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian
2024DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation.
Zhiqiang Guo, Guohui Li, Jianjun Li, Chaoyang Wang, Si Shi
2024EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series.
Shamima Hossain, Christos Faloutsos, Boris Baer, Hyoseung Kim, Vassilis J. Tsotras
2024Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal Data.
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2024EsaCL: An Efficient Continual Learning Algorithm.
Weijieying Ren, Vasant G. Honavar
2024Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation.
Tianqi Sun, Hongrui Guo, Zihan Zhang, Hongzhi Liu, Zhonghai Wu
2024Feature Interaction Aware Automated Data Representation Transformation.
Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu
2024Feature-Engineered Random Forests.
Saket Sathe, Charu Aggarwal, Horst Samulowitz, Deepak S. Turaga
2024FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning.
Hongyu Zhang, Dongyi Zheng, Xu Yang, Jiyuan Feng, Qing Liao
2024Foundation Models for Spatiotemporal Tasks in the Physical World.
Zhe Jiang, Yu Wang, Zelin Xu
2024GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model.
Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan
2024Genius: Subteam Replacement with Clustering-based Graph Neural Networks.
Chuxuan Hu, Qinghai Zhou, Hanghang Tong
2024Geospatial Topological Relation Extraction from Text with Knowledge Augmentation.
Wei Hu, Bowen Jin, Minhao Jiang, Sizhe Zhou, Zhaonan Wang, Jiawei Han, Shaowen Wang
2024Graph Summarization for Preserving Spectral Characteristics.
Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng
2024Graph-based Student Knowledge Profile for Online Intelligent Education.
Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang
2024H
Vivek Anand, Jiaming Cui, Jack Heavey, Anil Vullikanti, B. Aditya Prakash
2024HADT: Human-AI Diagnostic Team via Hierarchical Reinforcement Learning.
Xuehan Zhao, Jiaqi Liu, Zhiwen Yu, Bin Guo
2024Helper Recommendation with seniority control in Online Health Community.
Junruo Gao, Chen Ling, Carl Yang, Liang Zhao
2024HyperFLoRA: Federated Learning with Instantaneous Personalization.
Qikai Lu, Di Niu, Mohammadamin Samadi Khoshkho, Baochun Li
2024Identification and Uses of Deep Learning Backbones via Pattern Mining.
Michael J. Livanos, Ian Davidson
2024Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features.
Erhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia
2024Label Distribution Learning-Enhanced Dual-KNN for Text Classification.
Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang
2024Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks.
Yewen Wang, Shichang Zhang, John (Junghoo) Cho, Yizhou Sun
2024Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems.
Cong Fu, Xuan Zhang, Huixin Zhang, Hongyi Ling, Shenglong Xu, Shuiwang Ji
2024Light POI-Guided Conversational Recommender System based on Adaptive Space.
Meng Yuan, Fuwei Zhang, Yiqi Tong, Yuxin Ying, Fuzhen Zhuang, Deqing Wang, Baoxing Huai, Yi Zhang, Jia Su
2024Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach.
Karuna Bhaila, Wen Huang, Yongkai Wu, Xintao Wu
2024MISS: Multiclass Interpretable Scoring Systems.
Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek
2024MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation.
Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
2024Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling.
Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar
2024Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning.
Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson
2024Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation.
Qingfeng Li, Huifang Ma, Wangyu Jin, Yugang Ji, Zhixin Li
2024Multi-polytope Machine for Classification.
Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam, Chandra Reddy
2024MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies.
Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li
2024Neural Locality Sensitive Hashing for Entity Blocking.
Runhui Wang, Luyang Kong, Yefan Tao, Andrew Borthwick, Davor Golac, Henrik Johnson, Shadie Hijazi, Dong Deng, Yongfeng Zhang
2024Non-Euclidean Spatial Graph Neural Network.
Zheng Zhang, Sirui Li, Jingcheng Zhou, Junxiang Wang, Abhinav Angirekula, Allen Zhang, Liang Zhao
2024On Robust Wasserstein Barycenter: The Model and Algorithm.
Xu Wang, Jiawei Huang, Qingyuan Yang, Jinpeng Zhang
2024On the number of iterations of the DBA algorithm.
Frederik Brüning, Anne Driemel, Alperen Ergür, Heiko Röglin
2024Only Attending What Matter within Trajectories -
Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
2024PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024Pattern-based Time Series Semantic Segmentation with Gradual State Transitions.
Louis Carpentier, Len Feremans, Wannes Meert, Mathias Verbeke
2024Personalized Federated Learning with Contextual Modulation and Meta-Learning.
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson
2024Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management.
Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar
2024Pretraining Molecules with Explicit Substructure Information.
Yuting Ma, Shuo Yu, Yanming Shen
2024Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024, Houston, TX, USA, April 18-20, 2024
Shashi Shekhar, Vagelis Papalexakis, Jing Gao, Zhe Jiang, Matteo Riondato
2024Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction.
Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
2024RHINE: A Regime-Switching Model with Nonlinear Representation for Discovering and Forecasting Regimes in Financial Markets.
Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang
2024Refining Pre-trained Language Models for Domain Adaptation with Entity-Aware Discriminative and Contrastive Learning.
Jian Yang, Xinyu Hu, Yulong Shen, Gang Xiao
2024Robust Estimation of Causal Heteroscedastic Noise Models.
Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
2024Robust Sparse Online Learning for Data Streams with Streaming Features.
Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang
2024STES: A Spatiotemporal Explanation Supervision Framework.
Dazhou Yu, Binbin Chen, Yun Li, Suman Dhakal, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao
2024Self-Similar Graph Neural Network for Hierarchical Graph Learning.
Zheng Zhang, Liang Zhao
2024Semi-Supervised Clustering via Structural Entropy with Different Constraints.
Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He
2024Semi-Supervised Isolation Forest for Anomaly Detection.
Luca Stradiotti, Lorenzo Perini, Jesse Davis
2024Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem.
Niklas Strauß, Matthias Schubert
2024Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction.
Nasrin Kalanat, Yiqun Xie, Yanhua Li, Xiaowei Jia
2024Stable Synthetic Control with Anomaly Detection for Causal Inference.
Qiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen
2024Tensorized Hypergraph Neural Networks.
Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2024Test-Time Training for Spatial-Temporal Forecasting.
Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2024Time-Transformer: Integrating Local and Global Features for Better Time Series Generation.
Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey
2024Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology.
Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar
2024Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training.
Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang
2024Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
Wang Lu, Jindong Wang, Yidong Wang, Xing Xie
2024Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data.
Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar
2024Towards Tuning-Free Minimum-Volume Nonnegative Matrix Factorization.
Duc Toan Nguyen, Eric C. Chi
2024Training Sparse Graph Neural Networks via Pruning and Sprouting.
Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey
2024Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks.
Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma
2024UPFL: Unsupervised Personalized Federated Learning towards New Clients.
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2024Unified Modeling and Clustering of Mobility Trajectories with Spatiotemporal Point Processes.
Haowen Lin, Yao-Yi Chiang, Li Xiong, Cyrus Shahabi
2024User Migration across Multiple Social Media Platforms.
Ujun Jeong, Ayushi Nirmal, Kritshekhar Jha, Xu Tang, H. Russell Bernard, Huan Liu
2024Utility-Oriented String Mining.
Giulia Bernardini, Huiping Chen, Alessio Conte, Roberto Grossi, Veronica Guerrini, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis
2024Variational Invariant Representation Learning for Multimodal Recommendation.
Wei Yang, Haoran Zhang, Li Zhang
2024Vietoris-Rips Complex: A New Direction for Cross-Domain Cold-Start Recommendation.
Ajay Krishna Vajjala, Dipak Falgun Meher, Shrunal Pothagoni, Ziwei Zhu, David S. Rosenblum
2024Word Embedding with Neural Probabilistic Prior.
Shaogang Ren, Dingcheng Li, Ping Li
2024XGExplainer: Robust Evaluation-based Explanation for Graph Neural Networks.
Ryoji Kubo, Djellel Eddine Difallah
2024YOLO-OCR: End-to-end Compound Figure Separation and Label Recognition of Images in Scientific Publications.
Shuo Meng, Xinshuo Liang, Shuai Zhang, Leqi Lei, Hanbai Wu, Saira Iqbal, Jinlian Hu