Yunfeng Shao

According to our database, Yunfeng Shao authored at least 57 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching.

Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Yongheng Wang, Chao Wu

IEEE Trans. Big Data, December, 2024

MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes.

Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan

IEEE Trans. Knowl. Data Eng., November, 2024

Sparse Personalized Federated Learning.

Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng

IEEE Trans. Neural Networks Learn. Syst., September, 2024

ODE: An Online Data Selection Framework for Federated Learning With Limited Storage.

Chen Gong, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen

IEEE/ACM Trans. Netw., August, 2024

Lattice based distributed threshold additive homomorphic encryption with application in federated learning.

Haibo Tian, Yanchuan Wen, Fangguo Zhang, Yunfeng Shao, Bingshuai Li

Comput. Stand. Interfaces, January, 2024

Multi-agent Continuous Control with Generative Flow Networks.

Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu

Neural Networks, 2024

Sparse Federated Learning With Hierarchical Personalization Models.

Xiaofeng Liu, Qing Wang, Yunfeng Shao, Yinchuan Li

IEEE Internet Things J., 2024

Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments.

Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen

Proceedings of the 53rd International Conference on Parallel Processing, 2024

Fed2Com: Towards Efficient Compression in Federated Learning.

Yu Zhang, Wei Lin, Sisi Chen, Qingyu Song, Jiaxun Lu, Yunfeng Shao, Bei Yu, Hong Xu

Proceedings of the International Conference on Computing, Networking and Communications, 2024

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

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Source-free and black-box domain adaptation via distributionally adversarial training.

Yucheng Shi, Kunhong Wu, Yahong Han, Yunfeng Shao, Bingshuai Li, Fei Wu

Pattern Recognit., November, 2023

How Global Observation Works in Federated Learning: Integrating Vertical Training Into Horizontal Federated Learning.

Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief, Jie Chuai

IEEE Internet Things J., June, 2023

Active and Compact Entropy Search for High-Dimensional Bayesian Optimization.

Run Li, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li

IEEE Trans. Knowl. Data Eng., 2023

ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation.

Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen

CoRR, 2023

Universal Domain Adaptation via Compressive Attention Matching.

Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu

CoRR, 2023

Multi-agent Policy Reciprocity with Theoretical Guarantee.

Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao

CoRR, 2023

Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering.

Xu Zhang, Wenpeng Li, Yunfeng Shao, Yinchuan Li

CoRR, 2023

To Store or Not? Online Data Selection for Federated Learning with Limited Storage.

Chen Gong, Zhenzhe Zheng, Fan Wu, Yunfeng Shao, Bingshuai Li, Guihai Chen

Proceedings of the ACM Web Conference 2023, 2023

A constrained Bayesian approach to out-of-distribution prediction.

Ziyu Wang, Binjie Yuan, Jiaxun Lu, Bowen Ding, Yunfeng Shao, Qibin Wu, Jun Zhu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Generalized Universal Domain Adaptation with Generative Flow Networks.

Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs.

Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning.

Songli Zhang, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Large Sparse Kernels for Federated Learning.

Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

One Important Thing To Do Before Federated Training.

Yichu Xu, Wenqian Li, Yinchuan Li, Yunfeng Shao, Yan Pang, De-Chuan Zhan

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Regularized Offline GFlowNets.

Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

GFlowNets with Human Feedback.

Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Exploring uncertainty in regression neural networks for construction of prediction intervals.

Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li

Neurocomputing, 2022

GFlowCausal: Generative Flow Networks for Causal Discovery.

Wenqian Li, Yinchuan Li, Shengyu Zhu, Yunfeng Shao, Jianye Hao, Yan Pang

CoRR, 2022

On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies.

Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li

CoRR, 2022

ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer.

Chen Gong, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen

CoRR, 2022

Tensor Decomposition based Personalized Federated Learning.

Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li

CoRR, 2022

Federated Learning with Position-Aware Neurons.

Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan

CoRR, 2022

Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching.

Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Chao Wu

CoRR, 2022

Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again.

Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief.

Kaiyang Guo, Yunfeng Shao, Yanhui Geng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?

Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

How Global Observation embedding in Vertical-Horizontal Federated Learning.

Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief

Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Avoid Overfitting User Specific Information in Federated Keyword Spotting.

Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Personalized Federated Learning via Variational Bayesian Inference.

Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao

Proceedings of the International Conference on Machine Learning, 2022

Federated Learning with Position-Aware Neurons.

Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Distributed Threshold Additive Homomorphic Encryption for Federated Learning with Dropout Resiliency Based on Lattice.

Haibo Tian, Yanchuan Wen, Fangguo Zhang, Yunfeng Shao, Bingshuai Li

Proceedings of the Cyberspace Safety and Security - 14th International Symposium, 2022

2021

Convergence Analysis and System Design for Federated Learning Over Wireless Networks.

Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief

IEEE J. Sel. Areas Commun., 2021

How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning.

Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief

CoRR, 2021

Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning.

Haibo Tian, Fangguo Zhang, Yunfeng Shao, Bingshuai Li

CoRR, 2021

Unified Group Fairness on Federated Learning.

Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao

CoRR, 2021

Preliminary Steps Towards Federated Sentiment Classification.

Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song

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, Bingshuai Li, Shaoming Song

CoRR, 2021

Black-box Probe for Unsupervised Domain Adaptation without Model Transferring.

Kunhong Wu, Yucheng Shi, Yahong Han, Yunfeng Shao, Bingshuai Li

CoRR, 2021

Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions.

Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng

CoRR, 2021

Structured Directional Pruning via Perturbation Orthogonal Projection.

Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng

CoRR, 2021

Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals.

Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li

CoRR, 2021

FedPHP: Federated Personalization with Inherited Private Models.

Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Communication Reducing Quantization for Federated Learning with Local Differential Privacy Mechanism.

Huixuan Zong, Qing Wang, Xiaofeng Liu, Yinchuan Li, Yunfeng Shao

Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

Convergence analysis and Design principle for Federated learning in Wireless network.

Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief

Proceedings of the IEEE Global Communications Conference, 2021

2020

Loosely Coupled Federated Learning Over Generative Models.

Shaoming Song, Yunfeng Shao, Jian Li

CoRR, 2020

Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation.

Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2018

A Grid Projection Method Based on Ultrasonic Sensor for Parking Space Detection.

Yunfeng Shao, Pengzhen Chen, Tongtong Cao

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018