Zhou, Jiayu

38 publications

IJCAI 2025 Enhancing Automated Grading in Science Education Through LLM-Driven Causal Reasoning and Multimodal Analysis Haohao Zhu, Tingting Li, Peng He, Jiayu Zhou

ICLRW 2024 A-CONECT: Designing AI-Based Conversational Chatbot for Early Dementia Intervention Junyuan Hong, Wenqing Zheng, Han Meng, Siqi Liang, Anqing Chen, Hiroko H. Dodge, Jiayu Zhou, Zhangyang Wang

AISTATS 2024 On the Generalization Ability of Unsupervised Pretraining Yuyang Deng, Junyuan Hong, Jiayu Zhou, Mehrdad Mahdavi

ICLR 2024 Safe and Robust Watermark Injection with a Single OoD Image Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou

JAIR 2023 A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg Zhaonan Qu, Kaixiang Lin, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou

AAAI 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

TMLR 2023 How Robust Is Your Fairness? Evaluating and Sustaining Fairness Under Unseen Distribution Shifts Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang

ICLR 2023 MECTA: Memory-Economic Continual Test-Time Model Adaptation Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger

ICML 2023 Revisiting Data-Free Knowledge Distillation with Poisoned Teachers Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou

ICLR 2023 Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection Shuyang Yu, Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

AAAI 2023 USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Steve Drew, Jiayu Zhou, Ruizhi Chen

NeurIPS 2023 Understanding Deep Gradient Leakage via Inversion Influence Functions Haobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou

NeurIPSW 2023 Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning Shuyang Yu, Junyuan Hong, Yi Zeng, Fei Wang, Ruoxi Jia, Jiayu Zhou

ICLR 2022 Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

NeurIPS 2022 Outsourcing Training Without Uploading Data via Efficient Collaborative Open-Source Sampling Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger

ICML 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems Zhuangdi Zhu, Junyuan Hong, Steve Drew, Jiayu Zhou

AAAI 2022 Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-Optimal Demonstrations Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou

NeurIPS 2022 Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang

AAAI 2022 Unsupervised Anomaly Detection by Robust Density Estimation Boyang Liu, Pang-Ning Tan, Jiayu Zhou

ICML 2021 Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou

ICML 2021 Learning Deep Neural Networks Under Agnostic Corrupted Supervision Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou

AAAI 2021 Learning Model-Based Privacy Protection Under Budget Constraints Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

IJCAI 2021 RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou

NeurIPS 2020 Off-Policy Imitation Learning from Observations Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou

ICLR 2020 Ranking Policy Gradient Kaixiang Lin, Jiayu Zhou

AAAI 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms Xitong Zhang, He Zhu, Jiayu Zhou

AAAI 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract) Xitong Zhang, He Zhu, Jiayu Zhou

AAAI 2020 Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract) Mengying Sun, Fei Wang, Olivier Elemento, Jiayu Zhou

AAAI 2019 Confidence Weighted Multitask Learning Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao

NeurIPS 2018 Boosted Sparse and Low-Rank Tensor Regression Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang

IJCAI 2018 Drug Similarity Integration Through Attentive Multi-View Graph Auto-Encoders Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang

IJCAI 2017 Doubly Sparsifying Network Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang

CVPR 2017 Missing Modalities Imputation via Cascaded Residual Autoencoder Luan Tran, Xiaoming Liu, Jiayu Zhou, Rong Jin

IJCAI 2015 A Space Alignment Method for Cold-Start TV Show Recommendations Shiyu Chang, Jiayu Zhou, Pirooz Chubak, Junling Hu, Thomas S. Huang

NeurIPS 2014 A Safe Screening Rule for Sparse Logistic Regression Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye

NeurIPS 2013 Lasso Screening Rules via Dual Polytope Projection Jie Wang, Jiayu Zhou, Peter Wonka, Jieping Ye

NeurIPS 2011 Clustered Multi-Task Learning via Alternating Structure Optimization Jiayu Zhou, Jianhui Chen, Jieping Ye

AAAI 2008 Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach Jiayu Zhou, Youfang Lin, Xi Wang