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ORCIDYunfeng Shao 0001
Person information
- affiliation: Huawei Noah's Ark Lab, Beijing, China
- affiliation (PhD 2014): University of Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Yunfeng Shao (aka: Yun-Feng Shao, Yun Feng Shao) — disambiguation page
- Yunfeng Shao 0002 (aka: Yun Feng Shao 0002) — Chinese Academy of Sciences, Institute of Electronics, Department of Space Microwave Remote Sensing System, Beijing, China
- Yunfeng Shao 0003 — Wuhan University of Science and Technology, School of Computer Science, Wuhan, China
- Yunfeng Shao 0004 — State Grid Lvliang Power Supply Company, Shanxi, China
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2020 – today
- 2025
[j14]Jian Xu
, Shuo Wan, Yinchuan Li, Sichun Luo, Zhilin Chen, Yunfeng Shao, Zhitang Chen, Shao-Lun Huang, Linqi Song:
Cooperative Multi-Model Training for Personalized Federated Learning Over Heterogeneous Devices. IEEE J. Sel. Top. Signal Process. 19(1): 195-207 (2025)- 2024
- [j13]Haibo Tian, Yanchuan Wen, Fangguo Zhang, Yunfeng Shao, Bingshuai Li:
Lattice based distributed threshold additive homomorphic encryption with application in federated learning. Comput. Stand. Interfaces 87: 103765 (2024) - [j12]Xiaofeng Liu, Qing Wang, Yunfeng Shao, Yinchuan Li:
Sparse Federated Learning With Hierarchical Personalization Models. IEEE Internet Things J. 11(5): 8539-8551 (2024) - [j11]Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu:
Multi-agent Continuous Control with Generative Flow Networks. Neural Networks 174: 106243 (2024) - [j10]Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Yongheng Wang, Chao Wu:
Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. IEEE Trans. Big Data 10(6): 812-826 (2024) - [j9]Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan:
MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. IEEE Trans. Knowl. Data Eng. 36(11): 6560-6573 (2024) - [j8]Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng:
Sparse Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12027-12041 (2024) - [j7]Chen Gong, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen:
ODE: An Online Data Selection Framework for Federated Learning With Limited Storage. IEEE/ACM Trans. Netw. 32(4): 2794-2809 (2024) - [j6]Xiaofeng Liu, Qing Wang, Yunfeng Shao, Yanhui Geng, Yinchuan Li:
Structured Directional Pruning via Perturbation Orthogonal Projection. IEEE Trans. Signal Process. 72: 5439-5453 (2024) - [c25]Guopeng Lin, Weili Han, Wenqiang Ruan, Ruisheng Zhou, Lushan Song, Bingshuai Li, Yunfeng Shao:
Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization. CCS 2024: 4376-4390 - [c24]Yu Zhang, Wei Lin, Sisi Chen, Qingyu Song, Jiaxun Lu, Yunfeng Shao, Bei Yu, Hong Xu:
Fed2Com: Towards Efficient Compression in Federated Learning. ICNC 2024: 560-566 - [c23]Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen:
Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments. ICPP 2024: 782-791 - [i33]Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan:
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes. CoRR abs/2404.09232 (2024) - [i32]Guopeng Lin, Weili Han, Wenqiang Ruan, Ruisheng Zhou, Lushan Song, Bingshuai Li, Yunfeng Shao:
Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization. CoRR abs/2406.07948 (2024) - [i31]Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu:
Multi-Agent Continuous Control with Generative Flow Networks. CoRR abs/2408.06920 (2024) - 2023
- [j5]Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief, Jie Chuai:
How Global Observation Works in Federated Learning: Integrating Vertical Training Into Horizontal Federated Learning. IEEE Internet Things J. 10(11): 9482-9497 (2023) - [j4]Yucheng Shi, Kunhong Wu, Yahong Han, Yunfeng Shao, Bingshuai Li, Fei Wu:
Source-free and black-box domain adaptation via distributionally adversarial training. Pattern Recognit. 143: 109750 (2023) - [j3]Run Li, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Active and Compact Entropy Search for High-Dimensional Bayesian Optimization. IEEE Trans. Knowl. Data Eng. 35(1): 59-70 (2023) - [c22]Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao:
GFlowNets with Human Feedback. Tiny Papers @ ICLR 2023 - [c21]Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li:
Regularized Offline GFlowNets. Tiny Papers @ ICLR 2023 - [c20]Yichu Xu, Wenqian Li, Yinchuan Li, Yunfeng Shao, Yan Pang, De-Chuan Zhan:
One Important Thing To Do Before Federated Training. Tiny Papers @ ICLR 2023 - [c19]Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu:
Large Sparse Kernels for Federated Learning. Tiny Papers @ ICLR 2023 - [c18]Songli Zhang, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen:
Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning. ICPP 2023: 462-471 - [c17]Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao:
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. IJCAI 2023: 3939-3947 - [c16]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia 2023: 8304-8315 - [c15]Ziyu Wang, Binjie Yuan, Jiaxun Lu, Bowen Ding, Yunfeng Shao, Qibin Wu, Jun Zhu:
A constrained Bayesian approach to out-of-distribution prediction. UAI 2023: 2248-2258 - [c14]Chen Gong, Zhenzhe Zheng, Fan Wu, Yunfeng Shao, Bingshuai Li, Guihai Chen:
To Store or Not? Online Data Selection for Federated Learning with Limited Storage. WWW 2023: 3044-3055 - [i30]Xu Zhang, Wenpeng Li, Yunfeng Shao, Yinchuan Li:
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering. CoRR abs/2303.04345 (2023) - [i29]Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao:
Multi-agent Policy Reciprocity with Theoretical Guarantee. CoRR abs/2304.05632 (2023) - [i28]Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu:
Universal Domain Adaptation via Compressive Attention Matching. CoRR abs/2304.11862 (2023) - [i27]Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao:
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. CoRR abs/2304.11989 (2023) - [i26]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR abs/2305.04466 (2023) - [i25]Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao:
GFlowNets with Human Feedback. CoRR abs/2305.07036 (2023) - [i24]Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen:
ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation. CoRR abs/2311.11083 (2023) - 2022
- [j2]Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Exploring uncertainty in regression neural networks for construction of prediction intervals. Neurocomputing 481: 249-257 (2022) - [c13]Haibo Tian, Yanchuan Wen, Fangguo Zhang, Yunfeng Shao, Bingshuai Li:
A Distributed Threshold Additive Homomorphic Encryption for Federated Learning with Dropout Resiliency Based on Lattice. CSS 2022: 277-292 - [c12]Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan:
Federated Learning with Position-Aware Neurons. CVPR 2022: 10072-10081 - [c11]Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao:
Personalized Federated Learning via Variational Bayesian Inference. ICML 2022: 26293-26310 - [c10]Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan:
Avoid Overfitting User Specific Information in Federated Keyword Spotting. INTERSPEECH 2022: 3869-3873 - [c9]Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief:
How Global Observation embedding in Vertical-Horizontal Federated Learning. IWCMC 2022: 12-17 - [c8]Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu:
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? KDD 2022: 1183-1191 - [c7]Kaiyang Guo, Yunfeng Shao, Yanhui Geng:
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief. NeurIPS 2022 - [c6]Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan:
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. NeurIPS 2022 - [i23]Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Chao Wu:
Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching. CoRR abs/2203.12285 (2022) - [i22]Xiaofeng Liu, Yinchuan Li, Yunfeng Shao, Qing Wang:
Sparse Federated Learning with Hierarchical Personalization Models. CoRR abs/2203.13517 (2022) - [i21]Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan:
Federated Learning with Position-Aware Neurons. CoRR abs/2203.14666 (2022) - [i20]Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao:
Personalized Federated Learning via Variational Bayesian Inference. CoRR abs/2206.07977 (2022) - [i19]Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan:
Avoid Overfitting User Specific Information in Federated Keyword Spotting. CoRR abs/2206.08864 (2022) - [i18]Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu:
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? CoRR abs/2206.11054 (2022) - [i17]Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li:
Tensor Decomposition based Personalized Federated Learning. CoRR abs/2208.12959 (2022) - [i16]Chen Gong, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen:
ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer. CoRR abs/2209.00195 (2022) - [i15]Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li:
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies. CoRR abs/2209.10072 (2022) - [i14]Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan:
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. CoRR abs/2210.04427 (2022) - [i13]Kaiyang Guo, Yunfeng Shao, Yanhui Geng:
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief. CoRR abs/2210.06692 (2022) - [i12]Wenqian Li, Yinchuan Li, Shengyu Zhu, Yunfeng Shao, Jianye Hao, Yan Pang:
GFlowCausal: Generative Flow Networks for Causal Discovery. CoRR abs/2210.08185 (2022) - 2021
- [j1]Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief:
Convergence Analysis and System Design for Federated Learning Over Wireless Networks. IEEE J. Sel. Areas Commun. 39(12): 3622-3639 (2021) - [c5]Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief:
Convergence analysis and Design principle for Federated learning in Wireless network. GLOBECOM 2021: 1-6 - [c4]Huixuan Zong, Qing Wang, Xiaofeng Liu, Yinchuan Li, Yunfeng Shao:
Communication Reducing Quantization for Federated Learning with Local Differential Privacy Mechanism. ICCC 2021: 75-80 - [c3]Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song:
FedPHP: Federated Personalization with Inherited Private Models. ECML/PKDD (1) 2021: 587-602 - [i11]Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals. CoRR abs/2104.12953 (2021) - [i10]Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief:
Convergence Analysis and System Design for Federated Learning over Wireless Networks. CoRR abs/2105.00872 (2021) - [i9]Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng:
Structured Directional Pruning via Perturbation Orthogonal Projection. CoRR abs/2107.05328 (2021) - [i8]Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng:
Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions. CoRR abs/2107.05330 (2021) - [i7]Kunhong Wu, Yucheng Shi, Yahong Han, Yunfeng Shao, Bingshuai Li:
Black-box Probe for Unsupervised Domain Adaptation without Model Transferring. CoRR abs/2107.10174 (2021) - [i6]Xin-Chun Li, Le Gan, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song:
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes. CoRR abs/2107.11954 (2021) - [i5]Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song:
Preliminary Steps Towards Federated Sentiment Classification. CoRR abs/2107.11956 (2021) - [i4]Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao:
Unified Group Fairness on Federated Learning. CoRR abs/2111.04986 (2021) - [i3]Haibo Tian, Fangguo Zhang, Yunfeng Shao, Bingshuai Li:
Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning. CoRR abs/2111.10753 (2021) - [i2]Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief:
How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning. CoRR abs/2112.01039 (2021) - 2020
- [c2]Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation. IJCAI 2020: 934-940 - [i1]Shaoming Song, Yunfeng Shao, Jian Li:
Loosely Coupled Federated Learning Over Generative Models. CoRR abs/2009.12999 (2020)
2010 – 2019
- 2018
- [c1]Yunfeng Shao, Pengzhen Chen, Tongtong Cao:
A Grid Projection Method Based on Ultrasonic Sensor for Parking Space Detection. IGARSS 2018: 3378-3381
Coauthor Index
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