| 2026 | AAAI | Gentle Manipulation Policy Learning via Demonstrations from VLM Planned Atomic Skills. | Jiayu Zhou, Qiwei Wu, Jian Li, Zhe Chen, Xiaogang Xiong, Renjing Xu |
| 2025 | ACL | Dual Debiasing for Noisy In-Context Learning for Text Generation. | Siqi Liang, Sumyeong Ahn, Paramveer Dhillon, Jiayu Zhou |
| 2025 | ACL | Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging. | Haobo Zhang, Jiayu Zhou |
| 2025 | ECAI | Owen Sampling Accelerates Contribution Estimation in Federated Learning. | Hossein KhademSohi, Hadi Hemmati, Jiayu Zhou, Steve Drew |
| 2025 | ICDM | Lightweight and Robust Federated Data Valuation. | Guojun Tang, Jiayu Zhou, Mohammad Mamun, Steve Drew |
| 2025 | IJCAI | Enhancing Automated Grading in Science Education through LLM-Driven Causal Reasoning and Multimodal Analysis. | Haohao Zhu, Tingting Li, Peng He, Jiayu Zhou |
| 2025 | KDD | FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Carl Yang, Guancheng Wan, Zhuangdi Zhu, Zheng Xu, Junyuan Hong, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2025 | NAACL | Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs. | Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha A. Kass-Hout, Jiayu Zhou, Cao Xiao |
| 2025 | SDM | AnchorDrug: A system for drug-induced gene expression prediction in new contexts through active learning. | Han Meng, Ruoqiao Chen, Bin Chen, Jiayu Zhou |
| 2024 | AISTATS | On the Generalization Ability of Unsupervised Pretraining. | Yuyang Deng, Junyuan Hong, Jiayu Zhou, Mehrdad Mahdavi |
| 2024 | ICLR | Safe and Robust Watermark Injection with a Single OoD Image. | Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2024 | Interspeech | Translingual Language Markers for Cognitive Assessment from Spontaneous Speech. | Bao Hoang, Yijiang Pang, Hiroko H. Dodge, Jiayu Zhou |
| 2024 | IROS | RTTF: Rapid Tactile Transfer Framework for Contact-Rich Manipulation Tasks. | Qiwei Wu, Xuanbin Peng, Jiayu Zhou, Zhuoran Sun, Xiaogang Xiong, Yunjiang Lou |
| 2024 | KDD | Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. | Bao Hoang, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou |
| 2024 | KDD | FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2023 | AAAI | Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. | Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2023 | AAAI | USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning. | Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Steve Drew, Jiayu Zhou, Ruizhi Chen |
| 2023 | GLOBECOM | Federated Learning with Client Availability Budgets. | Yunkai Bao, Steve Drew, Xin Wang, Jiayu Zhou, Xiaoguang Niu |
| 2023 | ICLR | MECTA: Memory-Economic Continual Test-Time Model Adaptation. | Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger |
| 2023 | ICLR | 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 |
| 2023 | ICML | Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. | Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou |
| 2023 | KDD | International Workshop on Federated Learning for Distributed Data Mining. | Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou |
| 2023 | KDD | 2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). | Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou |
| 2023 | Mobisys | Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training. | Xiaomin Ouyang, Zhiyuan Xie, Heming Fu, Sitong Cheng, Li Pan, Neiwen Ling, Guoliang Xing, Jiayu Zhou, Jianwei Huang |
| 2022 | AAAI | Unsupervised Anomaly Detection by Robust Density Estimation. | Boyang Liu, Pang-Ning Tan, Jiayu Zhou |
| 2022 | AAAI | Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations. | Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou |
| 2022 | EMNLP | Dynamic Augmentation Data Selection for Few-shot Text Classification. | Guangliang Liu, Lifeng Jin, Owen Yuan, Jiayu Zhou |
| 2022 | ICDM | Robust Unsupervised Domain Adaptation from A Corrupted Source. | Shuyang Yu, Zhuangdi Zhu, Boyang Liu, Anil K. Jain, Jiayu Zhou |
| 2022 | ICLR | Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. | Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2022 | ICML | Resilient and Communication Efficient Learning for Heterogeneous Federated Systems. | Zhuangdi Zhu, Junyuan Hong, Steve Drew, Jiayu Zhou |
| 2022 | IECON | Ensuring Soft Switching During Transient Operations of Wireless Power Transfer Systems with Frequency Control. | Shuxin Chen, Jiayu Zhou, Yaohua Li, Giuseppe Guidi, Jon Are Suul, Yi Tang |
| 2022 | IECON | A Hysteresis ON-OFF Control Method of Inductive Power Transfer Systems with Low Output Ripples and Fast Transient Responses. | Jiayu Zhou, Giuseppe Guidi, Shuxin Chen, Yi Tang, Jon Are Suul |
| 2022 | KDD | MolSearch: Search-based Multi-objective Molecular Generation and Property Optimization. | Mengying Sun, Jing Xing, Han Meng, Huijun Wang, Bin Chen, Jiayu Zhou |
| 2022 | MOBICOM | Cosmo: contrastive fusion learning with small data for multimodal human activity recognition. | Xiaomin Ouyang, Xian Shuai, Jiayu Zhou, Ivy Wang Shi, Zhiyuan Xie, Guoliang Xing, Jianwei Huang |
| 2021 | AAAI | Learning Model-Based Privacy Protection under Budget Constraints. | Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2021 | ICML | Learning Deep Neural Networks under Agnostic Corrupted Supervision. | Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou |
| 2021 | ICML | Data-Free Knowledge Distillation for Heterogeneous Federated Learning. | Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou |
| 2021 | IJCAI | RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection. | Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou |
| 2021 | Interspeech | Automatic Detection of Alzheimer's Disease Using Spontaneous Speech Only. | Jun Chen, Jieping Ye, Fengyi Tang, Jiayu Zhou |
| 2021 | KDD | Federated Adversarial Debiasing for Fair and Transferable Representations. | Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge, Jiayu Zhou |
| 2021 | KDD | MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph. | Mengying Sun, Jing Xing, Huijun Wang, Bin Chen, Jiayu Zhou |
| 2021 | Mobisys | ClusterFL: a similarity-aware federated learning system for human activity recognition. | Xiaomin Ouyang, Zhiyuan Xie, Jiayu Zhou, Jianwei Huang, Guoliang Xing |
| 2021 | SENSYS | FedDL: Federated Learning via Dynamic Layer Sharing for Human Activity Recognition. | Linlin Tu, Xiaomin Ouyang, Jiayu Zhou, Yuze He, Guoliang Xing |
| 2020 | AAAI | Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract). | Mengying Sun, Fei Wang, Olivier Elemento, Jiayu Zhou |
| 2020 | AAAI | Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract). | Xitong Zhang, He Zhu, Jiayu Zhou |
| 2020 | AAAI | Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms. | Xitong Zhang, He Zhu, Jiayu Zhou |
| 2020 | ICDM | Robust Collaborative Learning with Noisy Labels. | Mengying Sun, Jing Xing, Bin Chen, Jiayu Zhou |
| 2020 | ICDM | Adversarial Precision Sensing with Healthcare Applications. | Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou |
| 2020 | ICLR | Ranking Policy Gradient. | Kaixiang Lin, Jiayu Zhou |
| 2020 | KDD | Multimodal Learning with Incomplete Modalities by Knowledge Distillation. | Qi Wang, Liang Zhan, Paul M. Thompson, Jiayu Zhou |
| 2019 | AAAI | Confidence Weighted Multitask Learning. | Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao |
| 2019 | ICDM | Boosted Trajectory Calibration for Traffic State Estimation. | Xitong Zhang, Liyang Xie, Zheng Wang, Jiayu Zhou |
| 2019 | KDD | GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. | Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis |
| 2019 | KDD | Retaining Privileged Information for Multi-Task Learning. | Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman |
| 2019 | KDD | MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. | Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang |
| 2019 | SDM | Augmented Multi-Task Learning by Optimal Transport. | Boyang Liu, Pang-Ning Tan, Jiayu Zhou |
| 2019 | SDM | Deep Multi-view Information Bottleneck. | Qi Wang, Claire Boudreau, Qixing Luo, Pang-Ning Tan, Jiayu Zhou |
| 2018 | AMIA | Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease. | Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang |
| 2018 | ICDM | Heterogeneous Hyper-Network Embedding. | Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou |
| 2018 | ICDM | Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix Factorization. | Qi Wang, Pang-Ning Tan, Jiayu Zhou |
| 2018 | IJCAI | Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. | Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang |
| 2018 | KDD | Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. | Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou |
| 2018 | KDD | Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation. | Boyang Liu, Pang-Ning Tan, Jiayu Zhou |
| 2018 | KDD | Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. | Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou |
| 2018 | KDD | Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. | Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou |
| 2018 | NetSoft | EdgeChain: Blockchain-based Multi-vendor Mobile Edge Application Placement. | He Zhu, Changcheng Huang, Jiayu Zhou |
| 2018 | SDM | Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data. | Yan Li, Tao Yang, Jiayu Zhou, Jieping Ye |
| 2017 | CVPR | Missing Modalities Imputation via Cascaded Residual Autoencoder. | Luan Tran, Xiaoming Liu, Jiayu Zhou, Rong Jin |
| 2017 | ICDM | Multi-task Survival Analysis. | Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye |
| 2017 | ICDM | Robust Self-Tuning Sparse Subspace Clustering. | Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye |
| 2017 | ICDM | Multi-level Multi-task Learning for Modeling Cross-Scale Interactions in Nested Geospatial Data. | Shuai Yuan, Jiayu Zhou, Pang-Ning Tan, C. Emi Fergus, Tyler Wagner, Patricia A. Soranno |
| 2017 | ICDM | Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction. | Tao Zeng, Bian Wu, Jiayu Zhou, Ian Davidson, Shuiwang Ji |
| 2017 | ICONIP | Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease. | Xiaofan Que, Yazhou Ren, Jiayu Zhou, Zenglin Xu |
| 2017 | IJCAI | Doubly Sparsifying Network. | Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang |
| 2017 | KDD | Patient Subtyping via Time-Aware LSTM Networks. | Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou |
| 2017 | KDD | Multi-Modality Disease Modeling via Collective Deep Matrix Factorization. | Qi Wang, Mengying Sun, Liang Zhan, Paul Thompson, Shuiwang Ji, Jiayu Zhou |
| 2017 | KDD | Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates. | Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou |
| 2016 | ICDM | Asynchronous Multi-task Learning. | Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou |
| 2016 | ICDM | Interactive Multi-task Relationship Learning. | Kaixiang Lin, Jiayu Zhou |
| 2016 | ICDM | Robust Convex Clustering Analysis. | Qi Wang, Pinghua Gong, Shiyu Chang, Thomas S. Huang, Jiayu Zhou |
| 2016 | KDD | Multi-Task Feature Interaction Learning. | Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou |
| 2016 | SDM | Learning A Task-Specific Deep Architecture For Clustering. | Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Meng Wang, Thomas S. Huang |
| 2016 | SDM | Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. | Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou |
| 2016 | SDM | GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction. | Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou |
| 2015 | IJCAI | A Space Alignment Method for Cold-Start TV Show Recommendations. | Shiyu Chang, Jiayu Zhou, Pirooz Chubak, Junling Hu, Thomas S. Huang |
| 2015 | WWW | Who, What, When, and Where: Multi-Dimensional Collaborative Recommendations Using Tensor Factorization on Sparse User-Generated Data. | Preeti Bhargava, Thomas Phan, Jiayu Zhou, Juhan Lee |
| 2015 | SDM | Feature-based factorized Bilinear Similarity Model for Cold-Start Top- | Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis |
| 2015 | SDM | FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models. | Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan |
| 2014 | BMVC | Image Cosegmentation via Multi-task Learning. | Qiang Zhang, Jiayu Zhou, Yilin Wang, Jieping Ye, Baoxin Li |
| 2014 | ICDM | Factorized Similarity Learning in Networks. | Shiyu Chang, Guo-Jun Qi, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang |
| 2014 | ICPR | DensityTransfer: A Data Driven Approach for Imputing Electronic Health Records. | Fei Wang, Jiayu Zhou, Jianying Hu |
| 2014 | KDD | Efficient multi-task feature learning with calibration. | Pinghua Gong, Jiayu Zhou, Wei Fan, Jieping Ye |
| 2014 | KDD | From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records. | Jiayu Zhou, Fei Wang, Jianying Hu, Jieping Ye |
| 2014 | PSB | Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients. | Yashu Liu, Zhi Nie, Jiayu Zhou, Michael Farnum, Vaibhav A. Narayan, Gayle M. Wittenberg, Jieping Ye |
| 2013 | ICDM | Active Matrix Completion. | Shayok Chakraborty, Jiayu Zhou, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Ian Davidson, Jieping Ye |
| 2013 | KDD | FeaFiner: biomarker identification from medical data through feature generalization and selection. | Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye |
| 2013 | SDM | Patient Risk Prediction Model via Top-k Stability Selection. | Jianying Hu, Yashu Liu, Jimeng Sun, Jieping Ye, Jiayu Zhou |
| 2012 | KDD | Modeling disease progression via fused sparse group lasso. | Jiayu Zhou, Jun Liu, Vaibhav A. Narayan, Jieping Ye |
| 2011 | KDD | Integrating low-rank and group-sparse structures for robust multi-task learning. | Jianhui Chen, Jiayu Zhou, Jieping Ye |
| 2011 | KDD | A multi-task learning formulation for predicting disease progression. | Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye |
| 2008 | AAAI | Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach. | Jiayu Zhou, Youfang Lin, Xi Wang |
| 2007 | KSEM | A Google-Based Statistical Acquisition Model of Chinese Lexical Concepts. | Jiayu Zhou, Shi Wang, Cungen Cao |