| 2026 | SP | Sparse Estimation Under Local Differential Privacy at All Privacy Levels. | Puning Zhao, Qingqing Ye, Shaowei Wang, Jun Feng, Sheng Yue, Zhen Chen, Xiaochun Cao |
| 2025 | MOBICOM | FocusX: All-in-Focus Image Synthesis for Dynamic Scenes on Mobile Devices. | Jinrui Zhang, Pengkai Li, Fengzu Li, Deyu Zhang, Wei Gao, Sheng Yue, Yaoxue Zhang, Ju Ren |
| 2025 | Mobisys | Towards Distance-Adaptive Wireless Charging. | Lili Chen, Yizhe Zhao, Shuning Wang, Linghui Zhong, Yongjian Fu, Sheng Yue, Ju Ren, Yaoxue Zhang |
| 2024 | ICML | How to Leverage Diverse Demonstrations in Offline Imitation Learning. | Sheng Yue, Jiani Liu, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang |
| 2024 | ICML | OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning. | Sheng Yue, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang |
| 2024 | INFOCOM | BR-DeFedRL: Byzantine-Robust Decentralized Federated Reinforcement Learning with Fast Convergence and Communication Efficiency. | Jing Qiao, Zuyuan Zhang, Sheng Yue, Yuan Yuan, Zhipeng Cai, Xiao Zhang, Ju Ren, Dongxiao Yu |
| 2024 | INFOCOM | Momentum-Based Federated Reinforcement Learning with Interaction and Communication Efficiency. | Sheng Yue, Xingyuan Hua, Lili Chen, Ju Ren |
| 2024 | INFOCOM | Federated Offline Policy Optimization with Dual Regularization. | Sheng Yue, Zerui Qin, Xingyuan Hua, Yongheng Deng, Ju Ren |
| 2023 | ICLR | CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning. | Sheng Yue, Guanbo Wang, Wei Shao, Zhaofeng Zhang, Sen Lin, Ju Ren, Junshan Zhang |
| 2023 | SENSYS | FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data. | Yongheng Deng, Sheng Yue, Tuowei Wang, Guanbo Wang, Ju Ren, Yaoxue Zhang |
| 2022 | CNSM | HSFL: An Efficient Split Federated Learning Framework via Hierarchical Organization. | Tengxi Xia, Yongheng Deng, Sheng Yue, Junyi He, Ju Ren, Yaoxue Zhang |
| 2021 | MOBIHOC | Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning. | Sheng Yue, Ju Ren, Jiang Xin, Sen Lin, Junshan Zhang |