A Grid Projection Method Based on Ultrasonic Sensor for Parking Space Detection. - Yunfeng Shao 001; Pengzhen Chen; Tongtong Cao (IGARSS, 2018)

Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation. - Pin Jiang; Aming Wu; Yahong Han; Yunfeng Shao 001; Meiyu Qi; Bingshuai Li (IJCAI, 2020)

Loosely Coupled Federated Learning Over Generative Models. - Shaoming Song; Yunfeng Shao 001; Jian Li (CoRR, 2020)

Convergence analysis and Design principle for Federated learning in Wireless network. - Shuo Wan; Jiaxun Lu; Pingyi Fan; Yunfeng Shao 001; Chenghui Peng; Khaled B. Letaief (GLOBECOM, 2021)

Communication Reducing Quantization for Federated Learning with Local Differential Privacy Mechanism. - Huixuan Zong; Qing Wang 015; Xiaofeng Liu 009; Yinchuan Li; Yunfeng Shao 001 (ICCC, 2021)

FedPHP: Federated Personalization with Inherited Private Models. - Xin-Chun Li; De-Chuan Zhan; Yunfeng Shao 001; Bingshuai Li; Shaoming Song (ECML/PKDD (1), 2021)

Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals. - Yuandu Lai; Yucheng Shi; Yahong Han; Yunfeng Shao 001; Meiyu Qi; Bingshuai Li (CoRR, 2021)

Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions. - Yinchuan Li; Xiaofeng Liu 009; Xu Zhang 011; Yunfeng Shao 001; Qing Wang 015; Yanhui Geng (CoRR, 2021)

Black-box Probe for Unsupervised Domain Adaptation without Model Transferring. - Kunhong Wu; Yucheng Shi; Yahong Han; Yunfeng Shao 001; Bingshuai Li (CoRR, 2021)

Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes. - Xin-Chun Li; Le Gan; De-Chuan Zhan; Yunfeng Shao 001; Bingshuai Li; Shaoming Song (CoRR, 2021)

Preliminary Steps Towards Federated Sentiment Classification. - Xin-Chun Li; De-Chuan Zhan; Yunfeng Shao 001; Bingshuai Li; Shaoming Song (CoRR, 2021)

Unified Group Fairness on Federated Learning. - Fengda Zhang; Kun Kuang; Yuxuan Liu; Chao Wu 001; Fei Wu 001; Jiaxun Lu; Yunfeng Shao 001; Jun Xiao 001 (CoRR, 2021)

Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning. - Haibo Tian; Fangguo Zhang; Yunfeng Shao 001; Bingshuai Li (CoRR, 2021)

How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning. - Shuo Wan; Jiaxun Lu; Pingyi Fan; Yunfeng Shao 001; Chenghui Peng; Khaled B. Letaief (CoRR, 2021)

Convergence Analysis and System Design for Federated Learning Over Wireless Networks. - Shuo Wan; Jiaxun Lu; Pingyi Fan; Yunfeng Shao 001; Chenghui Peng; Khaled B. Letaief (IEEE J. Sel. Areas Commun., 2021)

A Distributed Threshold Additive Homomorphic Encryption for Federated Learning with Dropout Resiliency Based on Lattice. - Haibo Tian; Yanchuan Wen; Fangguo Zhang; Yunfeng Shao 001; Bingshuai Li (CSS, 2022)

Federated Learning with Position-Aware Neurons. - Xin-Chun Li; Yichu Xu; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; De-Chuan Zhan (CVPR, 2022)

Personalized Federated Learning via Variational Bayesian Inference. - Xu Zhang 011; Yinchuan Li; Wenpeng Li; Kaiyang Guo; Yunfeng Shao 001 (ICML, 2022)

Avoid Overfitting User Specific Information in Federated Keyword Spotting. - Xin-Chun Li; Jin-Lin Tang; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; Le Gan; De-Chuan Zhan (INTERSPEECH, 2022)

How Global Observation embedding in Vertical-Horizontal Federated Learning. - Shuo Wan; Jiaxun Lu; Pingyi Fan; Yunfeng Shao 001; Chenghui Peng; Khaled B. Letaief (IWCMC, 2022)

S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? - Shuang Luo; Yinchuan Li; Jiahui Li 003; Kun Kuang; Furui Liu; Yunfeng Shao 001; Chao Wu 001 (KDD, 2022)

Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief. - Kaiyang Guo; Yunfeng Shao 001; Yanhui Geng (NeurIPS, 2022)

Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. - Xin-Chun Li; Wen-Shu Fan; Shaoming Song; Yinchuan Li; Bingshuai Li; Yunfeng Shao 001; De-Chuan Zhan (NeurIPS, 2022)

Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching. - Zexi Li 001; Jiaxun Lu; Shuang Luo; Didi Zhu; Yunfeng Shao 001; Yinchuan Li; Zhimeng Zhang; Chao Wu 001 (CoRR, 2022)

Federated Learning with Position-Aware Neurons. - Xin-Chun Li; Yi-Chu Xu; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; De-Chuan Zhan (CoRR, 2022)

Tensor Decomposition based Personalized Federated Learning. - Qing Wang 015; Jing Jin; Xiaofeng Liu 009; Huixuan Zong; Yunfeng Shao 001; Yinchuan Li (CoRR, 2022)

ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer. - Chen Gong 006; Zhenzhe Zheng; Fan Wu 006; Bingshuai Li; Yunfeng Shao 001; Guihai Chen (CoRR, 2022)

On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies. - Haozhi Wang; Qing Wang 015; Yunfeng Shao 001; Dong Li 016; Jianye Hao; Yinchuan Li (CoRR, 2022)

GFlowCausal: Generative Flow Networks for Causal Discovery. - Wenqian Li; Yinchuan Li; Shengyu Zhu 001; Yunfeng Shao 001; Jianye Hao; Yan Pang (CoRR, 2022)

Exploring uncertainty in regression neural networks for construction of prediction intervals. - Yuandu Lai; Yucheng Shi; Yahong Han; Yunfeng Shao 001; Meiyu Qi; Bingshuai Li (Neurocomputing, 2022)

GFlowNets with Human Feedback. - Yinchuan Li; Shuang Luo; Yunfeng Shao 001; Jianye Hao (Tiny Papers @ ICLR, 2023)

Regularized Offline GFlowNets. - Haozhi Wang; Yunfeng Shao 001; Jianye Hao; Yinchuan Li (Tiny Papers @ ICLR, 2023)

One Important Thing To Do Before Federated Training. - Yichu Xu; Wenqian Li; Yinchuan Li; Yunfeng Shao 001; Yan Pang; De-Chuan Zhan (Tiny Papers @ ICLR, 2023)

Large Sparse Kernels for Federated Learning. - Feilong Zhang 002; Yinchuan Li; Shiyi Lin; Yunfeng Shao 001; Junjun Jiang; Xianming Liu (Tiny Papers @ ICLR, 2023)

Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning. - Songli Zhang; Zhenzhe Zheng; Fan Wu 006; Bingshuai Li; Yunfeng Shao 001; Guihai Chen (ICPP, 2023)

Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. - Yinchuan Li; Zhigang Li; Wenqian Li; Yunfeng Shao 001; Yan Zheng 002; Jianye Hao (IJCAI, 2023)

Generalized Universal Domain Adaptation with Generative Flow Networks. - Didi Zhu; Yinchuan Li; Yunfeng Shao 001; Jianye Hao; Fei Wu 001; Kun Kuang; Jun Xiao 001; Chao Wu 001 (ACM Multimedia, 2023)

A constrained Bayesian approach to out-of-distribution prediction. - Ziyu Wang 006; Binjie Yuan; Jiaxun Lu; Bowen Ding; Yunfeng Shao 001; Qibin Wu; Jun Zhu 001 (UAI, 2023)

To Store or Not? Online Data Selection for Federated Learning with Limited Storage. - Chen Gong 006; Zhenzhe Zheng; Fan Wu 006; Yunfeng Shao 001; Bingshuai Li; Guihai Chen (WWW, 2023)

Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering. - Xu Zhang 011; Wenpeng Li; Yunfeng Shao 001; Yinchuan Li (CoRR, 2023)

Multi-agent Policy Reciprocity with Theoretical Guarantee. - Haozhi Wang; Yinchuan Li; Qing Wang 015; Yunfeng Shao 001; Jianye Hao (CoRR, 2023)

Universal Domain Adaptation via Compressive Attention Matching. - Didi Zhu; Yinchuan Li; Junkun Yuan; Zexi Li 001; Yunfeng Shao 001; Kun Kuang; Chao Wu 001 (CoRR, 2023)

ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation. - Yan Zhuang; Zhenzhe Zheng; Yunfeng Shao 001; Bingshuai Li; Fan Wu 006; Guihai Chen (CoRR, 2023)

Active and Compact Entropy Search for High-Dimensional Bayesian Optimization. - Run Li; Yucheng Shi; Yahong Han; Yunfeng Shao 001; Meiyu Qi; Bingshuai Li (IEEE Trans. Knowl. Data Eng., 2023)

How Global Observation Works in Federated Learning: Integrating Vertical Training Into Horizontal Federated Learning. - Shuo Wan; Jiaxun Lu; Pingyi Fan; Yunfeng Shao 001; Chenghui Peng; Khaled B. Letaief; Jie Chuai (IEEE Internet Things J., 2023)

Source-free and black-box domain adaptation via distributionally adversarial training. - Yucheng Shi; Kunhong Wu; Yahong Han; Yunfeng Shao 001; Bingshuai Li; Fei Wu 001 (Pattern Recognit., 2023)

Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization. - Guopeng Lin; Weili Han; Wenqiang Ruan; Ruisheng Zhou; Lushan Song; Bingshuai Li; Yunfeng Shao 001 (CCS, 2024)

Fed2Com: Towards Efficient Compression in Federated Learning. - Yu Zhang 189; Wei Lin; Sisi Chen; Qingyu Song 002; Jiaxun Lu; Yunfeng Shao 001; Bei Yu 001; Hong Xu 001 (ICNC, 2024)

Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments. - Yan Zhuang; Zhenzhe Zheng; Yunfeng Shao 001; Bingshuai Li; Fan Wu 006; Guihai Chen (ICPP, 2024)

Sparse Federated Learning With Hierarchical Personalization Models. - Xiaofeng Liu 009; Qing Wang 015; Yunfeng Shao 001; Yinchuan Li (IEEE Internet Things J., 2024)

Multi-agent Continuous Control with Generative Flow Networks. - Shuang Luo; Yinchuan Li; Shunyu Liu 001; Xu Zhang 011; Yunfeng Shao 001; Chao Wu 001 (Neural Networks, 2024)

Structured Directional Pruning via Perturbation Orthogonal Projection. - Xiaofeng Liu 009; Qing Wang 015; Yunfeng Shao 001; Yanhui Geng; Yinchuan Li (IEEE Trans. Signal Process., 2024)

Lattice based distributed threshold additive homomorphic encryption with application in federated learning. - Haibo Tian; Yanchuan Wen; Fangguo Zhang; Yunfeng Shao 001; Bingshuai Li (Comput. Stand. Interfaces, 2024)

ODE: An Online Data Selection Framework for Federated Learning With Limited Storage. - Chen Gong 006; Zhenzhe Zheng; Yunfeng Shao 001; Bingshuai Li; Fan Wu 006; Guihai Chen (IEEE/ACM Trans. Netw., 2024)

Sparse Personalized Federated Learning. - Xiaofeng Liu 009; Yinchuan Li; Qing Wang 015; Xu Zhang 011; Yunfeng Shao 001; Yanhui Geng (IEEE Trans. Neural Networks Learn. Syst., 2024)

MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. - Xin-Chun Li; Shaoming Song; Yinchuan Li; Bingshuai Li; Yunfeng Shao 001; Yang Yang 074; De-Chuan Zhan (IEEE Trans. Knowl. Data Eng., 2024)

Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. - Zexi Li 001; Jiaxun Lu; Shuang Luo; Didi Zhu; Yunfeng Shao 001; Yinchuan Li; Zhimeng Zhang; Yongheng Wang; Chao Wu 001 (IEEE Trans. Big Data, 2024)

GHPFL: Advancing Personalized Edge-Based Learning Through Optimized Bandwidth Utilization. - Kaiwei Mo; Wei Lin; Jiaxun Lu; Chun Jason Xue; Yunfeng Shao 001; Hong Xu 001 (IEEE Trans. Cloud Comput., 2025)

Cooperative Multi-Model Training for Personalized Federated Learning Over Heterogeneous Devices. - Jian Xu 016; Shuo Wan; Yinchuan Li; Sichun Luo; Zhilin Chen; Yunfeng Shao 001; Zhitang Chen; Shao-Lun Huang; Linqi Song (IEEE J. Sel. Top. Signal Process., 2025)

MIDDLE: A Mobility-Driven Device-Edge-Cloud Federated Learning Framework. - Songli Zhang; Zhenzhe Zheng; Fan Wu 006; Bingshuai Li; Yunfeng Shao 001; Guihai Chen (IEEE Trans. Mob. Comput., 2025)