SDM

Publications

2024

Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. SDM (2024)
Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar
Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. SDM (2024)
Shamima Hossain, Christos Faloutsos, Boris Baer, Hyoseung Kim, Vassilis J. Tsotras
EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series. SDM (2024)
Xu Wang, Jiawei Huang, Qingyuan Yang, Jinpeng Zhang
On Robust Wasserstein Barycenter: The Model and Algorithm. SDM (2024)
Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma
Active Learning for Graphs with Noisy Structures. SDM (2024)
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal Data. SDM (2024)
Zhe Jiang, Yu Wang, Zelin Xu
Foundation Models for Spatiotemporal Tasks in the Physical World. SDM (2024)
Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu
Feature Interaction Aware Automated Data Representation Transformation. SDM (2024)
Zhiqiang Guo, Guohui Li, Jianjun Li, Chaoyang Wang, Si Shi
DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation. SDM (2024)
Yuting Ma, Shuo Yu, Yanming Shen
Pretraining Molecules with Explicit Substructure Information. SDM (2024)
Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
Test-Time Training for Spatial-Temporal Forecasting. SDM (2024)
Hongchang Gao, Yubin Duan, Yihan Zhang, Jie Wu
Decentralized Stochastic Compositional Gradient Descent for AUPRC Maximization. SDM (2024)
Niklas Strauß, Matthias Schubert
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem. SDM (2024)
Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu
CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. SDM (2024)
Shreya Ghosh, Prasenjit Mitra
Bridging Semantics: Mobility Analytics Framework for Knowledge Transfer. SDM (2024)
Wei Yang, Haoran Zhang, Li Zhang
Variational Invariant Representation Learning for Multimodal Recommendation. SDM (2024)
Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. SDM (2024)
Erhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia
Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features. SDM (2024)
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. SDM (2024)
Tianqi Sun, Hongrui Guo, Zihan Zhang, Hongzhi Liu, Zhonghai Wu
Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation. SDM (2024)
Wei Hu, Bowen Jin, Minhao Jiang, Sizhe Zhou, Zhaonan Wang, Jiawei Han, Shaowen Wang
Geospatial Topological Relation Extraction from Text with Knowledge Augmentation. SDM (2024)
Dongliang Guo, Yun Fu, Sheng Li
Ada-VAD: Domain Adaptable Video Anomaly Detection. SDM (2024)
Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
Tensorized Hypergraph Neural Networks. SDM (2024)
Shaogang Ren, Dingcheng Li, Ping Li
Word Embedding with Neural Probabilistic Prior. SDM (2024)
Mahsa Forouzesh, Patrick Thiran
Differences Between Hard and Noisy-labeled Samples: An Empirical Study. SDM (2024)
Shuo Meng, Xinshuo Liang, Shuai Zhang, Leqi Lei, Hanbai Wu, Saira Iqbal, Jinlian Hu
YOLO-OCR: End-to-end Compound Figure Separation and Label Recognition of Images in Scientific Publications. SDM (2024)
Zheng Zhang, Liang Zhao
Self-Similar Graph Neural Network for Hierarchical Graph Learning. SDM (2024)
Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation. SDM (2024)
Runhui Wang, Luyang Kong, Yefan Tao, Andrew Borthwick, Davor Golac, Henrik Johnson, Shadie Hijazi, Dong Deng, Yongfeng Zhang
Neural Locality Sensitive Hashing for Entity Blocking. SDM (2024)
Qingfeng Li, Huifang Ma, Wangyu Jin, Yugang Ji, Zhixin Li
Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation. SDM (2024)
Fengxin Li, Hongyan Liu, Jun He, Xiaoyong Du
CausalCDR: Causal Embedding Learning for Cross-domain Recommendation. SDM (2024)
Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. SDM (2024)
Xinyu Zhang, Beibei Li, Beihong Jin
Denoising Long- and Short-term Interests for Sequential Recommendation. SDM (2024)
Qikai Lu, Di Niu, Mohammadamin Samadi Khoshkho, Baochun Li
HyperFLoRA: Federated Learning with Instantaneous Personalization. SDM (2024)
Ajay Krishna Vajjala, Dipak Falgun Meher, Shrunal Pothagoni, Ziwei Zhu, David S. Rosenblum
Vietoris-Rips Complex: A New Direction for Cross-Domain Cold-Start Recommendation. SDM (2024)
Meng Yuan, Fuwei Zhang, Yiqi Tong, Yuxin Ying, Fuzhen Zhuang, Deqing Wang, Baoxing Huai, Yi Zhang, Jia Su
Light POI-Guided Conversational Recommender System based on Adaptive Space. SDM (2024)
Hongyu Zhang, Dongyi Zheng, Xu Yang, Jiyuan Feng, Qing Liao
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning. SDM (2024)
Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM (2024)
Mingjun Zhao, Liyao Jiang, Yakun Yu, Xinmin Wang, Yi Yuan, Zheng Wei, Di Niu
DimReg: Embedding Dimension Search via Regularization for Recommender Systems. SDM (2024)
Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang
Robust Sparse Online Learning for Data Streams with Streaming Features. SDM (2024)
Weijieying Ren, Vasant G. Honavar
EsaCL: An Efficient Continual Learning Algorithm. SDM (2024)
Vivek Anand, Jiaming Cui, Jack Heavey, Anil Vullikanti, B. Aditya Prakash
ABM: Heterogeneous Agent-based Model on Hypergraphs to Capture Group Interactions. SDM (2024)
Zheng Zhang, Sirui Li, Jingcheng Zhou, Junxiang Wang, Abhinav Angirekula, Allen Zhang, Liang Zhao
Non-Euclidean Spatial Graph Neural Network. SDM (2024)
Giulia Bernardini, Huiping Chen, Alessio Conte, Roberto Grossi, Veronica Guerrini, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis
Utility-Oriented String Mining. SDM (2024)
Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar
Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data. SDM (2024)
Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. SDM (2024)
Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu
Disinformation Detection: An Evolving Challenge in the Age of LLMs. SDM (2024)
Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu
CaMU: Disentangling Causal Effects in Deep Model Unlearning. SDM (2024)
Louis Carpentier, Len Feremans, Wannes Meert, Mathias Verbeke
Pattern-based Time Series Semantic Segmentation with Gradual State Transitions. SDM (2024)
Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar
Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. SDM (2024)