Zhang, Shuai

64 publications

AISTATS 2025 Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach Dheeraj Baby, Boran Han, Shuai Zhang, Cuixiong Hu, Bernie Wang, Yu-Xiang Wang

AAAI 2025 AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract) Yimian Ding, Jingzehua Xu, Yiyuan Yang, Guanwen Xie, Xinqi Wang, Shuai Zhang

AAAI 2025 Code-Switching Mediated Sentence-Level Semantic Learning Shuai Zhang, Jiangyan Yi, Zhengqi Wen, Jianhua Tao, Feihu Che, Jinyang Wu, Ruibo Fu

ICML 2025 Conformal Anomaly Detection in Event Sequences Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Shirui Pan

NeurIPS 2025 Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees Jiawei Sun, Shuai Zhang, Hongkang Li, Meng Wang

AAAI 2025 ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract) Guanwen Xie, Jingzehua Xu, Yiyuan Yang, Yimian Ding, Shuai Zhang

NeurIPS 2025 Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation Wenjie Du, Xuqiang Li, Jinke Feng, Shuai Zhang, Wen Zhang, Yang Wang

ICLR 2025 Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck Shuai Zhang, Junfeng Fang, Xuqiang Li, Hongxin Xiang, Alan Xia, Ye Wei, Wenjie Du, Yang Wang

AAAI 2025 MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection Shuai Zhang, Yu Fan, Haoyi Zhou, Bo Li

NeurIPS 2025 Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang

ICLR 2025 Palmbench: A Comprehensive Benchmark of Compressed Large Language Models on Mobile Platforms Yilong Li, Jingyu Liu, Hao Zhang, M Badri Narayanan, Utkarsh Sharma, Shuai Zhang, Yijing Zeng, Jayaram Raghuram, Suman Banerjee

AAAI 2025 Prompt Tuning in a Compact Attribute Space Shiyu Hou, Tianfei Zhou, Shuai Zhang, Ye Yuan, Guoren Wang

NeurIPS 2025 Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation Zixi Wang, Yushe Cao, Yubo Huang, Jinzhu Wei, Jingzehua Xu, Shuai Zhang, Xin Lai

IJCAI 2025 Sharpness-Aware Zeroth-Order Optimization for Graph Transformers Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, Shirui Pan

MLJ 2025 Spatiotemporal-View Member Preference Contrastive Representation Learning for Group Recommendation Yangtao Zhou, Qingshan Li, Hua Chu, Jianan Li, Biaobiao Wei, Shuai Zhang, Jialong Han

AAAI 2025 S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation Mu You, Fang Zhang, Shuai Zhang, Linli Xu

AAAI 2025 UACOF: A USV-AUV Collaboration Framework for Underwater Tasks Under Extreme Sea Conditions (Student Abstract) Jingzehua Xu, Guanwen Xie, Yimian Ding, Yongming Zeng, Haoyu Wang, Shuai Zhang

CVPR 2025 Unlearning Through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter Zhengyi Zhong, Weidong Bao, Ji Wang, Shuai Zhang, Jingxuan Zhou, Lingjuan Lyu, Wei Yang Bryan Lim

ICLR 2025 When Is Task Vector Provably Effective for Model Editing? a Generalization Analysis of Nonlinear Transformers Hongkang Li, Yihua Zhang, Shuai Zhang, Pin-Yu Chen, Sijia Liu, Meng Wang

CVPR 2024 Bridging Remote Sensors with Multisensor Geospatial Foundation Models Boran Han, Shuai Zhang, Xingjian Shi, Markus Reichstein

AAAI 2024 Combating Data Imbalances in Federated Semi-Supervised Learning with Dual Regulators Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, Junyu Gao

WACV 2024 Data Augmentation for Object Detection via Controllable Diffusion Models Haoyang Fang, Boran Han, Shuai Zhang, Su Zhou, Cuixiong Hu, Wen-Ming Ye

ICML 2024 Discovering Bias in Latent Space: An Unsupervised Debiasing Approach Dyah Adila, Shuai Zhang, Boran Han, Bernie Wang

ICML 2024 FedSC: Provable Federated Self-Supervised Learning with Spectral Contrastive Objective over Non-I.i.d. Data Shusen Jing, Anlan Yu, Shuai Zhang, Songyang Zhang

AAAI 2024 How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin

IJCAI 2024 MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction Wenjie Du, Shuai Zhang, Di Wu, Jun Xia, Ziyuan Zhao, Junfeng Fang, Yang Wang

AAAI 2024 MobileInst: Video Instance Segmentation on the Mobile Renhong Zhang, Tianheng Cheng, Shusheng Yang, Haoyi Jiang, Shuai Zhang, Jiancheng Lyu, Xin Li, Xiaowen Ying, Dashan Gao, Wenyu Liu, Xinggang Wang

ICML 2024 Neural Jump-Diffusion Temporal Point Processes Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma

ICML 2024 SF-DQN: Provable Knowledge Transfer Using Successor Feature for Deep Reinforcement Learning Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang

ICML 2024 Transferring Knowledge from Large Foundation Models to Small Downstream Models Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Bernie Wang, Andrew Gordon Wilson

NeurIPS 2024 Unraveling the Gradient Descent Dynamics of Transformers Bingqing Song, Boran Han, Shuai Zhang, Jie Ding, Mingyi Hong

NeurIPS 2023 Data-Informed Geometric Space Selection Shuai Zhang, Wenqi Jiang

NeurIPS 2023 Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning Changsheng Lv, Shuai Zhang, Yapeng Tian, Mengshi Qi, Huadong Ma

ECML-PKDD 2023 Enhancing Table Retrieval with Dual Graph Representations Tianyun Liu, Xinghua Zhang, Zhenyu Zhang, Yubin Wang, Quangang Li, Shuai Zhang, Tingwen Liu

ICLR 2023 Joint Edge-Model Sparse Learning Is Provably Efficient for Graph Neural Networks Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu

ICCV 2023 MAS: Towards Resource-Efficient Federated Multiple-Task Learning Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang

NeurIPS 2023 Offline Imitation Learning with Variational Counterfactual Reasoning Zexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang

NeurIPS 2023 On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury

ICML 2023 Patch-Level Routing in Mixture-of-Experts Is Provably Sample-Efficient for Convolutional Neural Networks Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen

NeurIPS 2023 Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alexander J Smola, Xu Sun

AAAI 2023 SKDBERT: Compressing BERT via Stochastic Knowledge Distillation Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin

NeurIPS 2022 AutoST: Towards the Universal Modeling of Spatio-Temporal Sequences Jianxin Li, Shuai Zhang, Hui Xiong, Haoyi Zhou

ICLR 2022 Divergence-Aware Federated Self-Supervised Learning Weiming Zhuang, Yonggang Wen, Shuai Zhang

ICLR 2022 How Unlabeled Data Improve Generalization in Self-Training? a One-Hidden-Layer Theoretical Analysis Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

NeurIPS 2022 Jump Self-Attention: Capturing High-Order Statistics in Transformers Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li

ICLR 2022 Neural Methods for Logical Reasoning over Knowledge Graphs Alfonso Amayuelas, Shuai Zhang, Xi Susie Rao, Ce Zhang

IJCAI 2021 A Sequence-to-Set Network for Nested Named Entity Recognition Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, Yueting Zhuang

ICLR 2021 Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Hui, Jie Fu

ICCV 2021 Collaborative Unsupervised Visual Representation Learning from Decentralized Data Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi

AAAI 2021 Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang

NeurIPS 2021 Self-Instantiated Recurrent Units with Dynamic Soft Recursion Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang

NeurIPS 2021 Why Lottery Ticket Wins? a Theoretical Perspective of Sample Complexity on Sparse Neural Networks Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

ICML 2020 Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-Hidden-Layer Case Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

AAAI 2020 Symmetric Metric Learning with Adaptive Margin for Recommendation Mingming Li, Shuai Zhang, Fuqing Zhu, Wanhui Qian, Liangjun Zang, Jizhong Han, Songlin Hu

IJCAI 2020 TRP: Trained Rank Pruning for Efficient Deep Neural Networks Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

NeurIPS 2019 A Tensorized Transformer for Language Modeling Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan, Yuexian Hou, Ming Zhou, Dawei Song

WACV 2019 DAC: Data-Free Automatic Acceleration of Convolutional Networks Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi

IJCAI 2019 DeepRec: An Open-Source Toolkit for Deep Learning Based Recommendation Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun

AAAI 2019 Holographic Factorization Machines for Recommendation Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh

IJCAI 2019 Quaternion Collaborative Filtering for Recommendation Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay

NeurIPS 2019 Quaternion Knowledge Graph Embeddings Shuai Zhang, Yi Tay, Lina Yao, Qi Liu

ICLR 2019 Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley Osher, Yingyong Qi, Jack Xin

ICCVW 2019 Weakly-Supervised Degree of Eye-Closeness Estimation Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi

IJCAI 2018 NeuRec: On Nonlinear Transformation for Personalized Ranking Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong