Yunfeng Shao - RankMe

75 papers A* 10A 2B 4C 2Misc 1Journal 49Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Cloud-Edge Collaborative Inference System for Data-secure LLM Serving. NAIC Wenjie Chu, Yunfeng Shao, Chunhui Du
2025	J	`jnl`	Cooperative Multi-Model Training for Personalized Federated Learning Over Heterogeneous Devices. IEEE J. Sel. Top. Signal Process. Jian Xu, Shuo Wan, Yinchuan Li, Sichun Luo, Zhilin Chen, Yunfeng Shao, Zhitang Chen, Shao-Lun Huang, Linqi Song
2025	J	`jnl`	GHPFL: Advancing Personalized Edge-Based Learning Through Optimized Bandwidth Utilization. IEEE Trans. Cloud Comput. Kaiwei Mo, Wei Lin, Jiaxun Lu, Chun Jason Xue, Yunfeng Shao, Hong Xu
2025	J	`jnl`	MIDDLE: A Mobility-Driven Device-Edge-Cloud Federated Learning Framework. IEEE Trans. Mob. Comput. Songli Zhang, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen
2024	A*	`conf`	Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization. CCS Guopeng Lin, Weili Han, Wenqiang Ruan, Ruisheng Zhou, Lushan Song, Bingshuai Li, Yunfeng Shao
2024	J	`jnl`	Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization. CoRR Guopeng Lin, Weili Han, Wenqiang Ruan, Ruisheng Zhou, Lushan Song, Bingshuai Li, Yunfeng Shao
2024	Misc	`conf`	Fed2Com: Towards Efficient Compression in Federated Learning. ICNC Yu Zhang, Wei Lin, Sisi Chen, Qingyu Song, Jiaxun Lu, Yunfeng Shao, Bei Yu, Hong Xu
2024	J	`jnl`	Lattice based distributed threshold additive homomorphic encryption with application in federated learning. Comput. Stand. Interfaces Haibo Tian, Yanchuan Wen, Fangguo Zhang, Yunfeng Shao, Bingshuai Li
2024	J	`jnl`	MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. IEEE Trans. Knowl. Data Eng. Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan
2024	J	`jnl`	MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes. CoRR Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan
2024	J	`jnl`	Multi-Agent Continuous Control with Generative Flow Networks. CoRR Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu
2024	J	`jnl`	Multi-agent Continuous Control with Generative Flow Networks. Neural Networks Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu
2024	B	`conf`	Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments. ICPP Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen
2024	J	`jnl`	ODE: An Online Data Selection Framework for Federated Learning With Limited Storage. IEEE/ACM Trans. Netw. Chen Gong, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen
2024	J	`jnl`	Sparse Federated Learning With Hierarchical Personalization Models. IEEE Internet Things J. Xiaofeng Liu, Qing Wang, Yunfeng Shao, Yinchuan Li
2024	J	`jnl`	Sparse Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng
2024	J	`jnl`	Structured Directional Pruning via Perturbation Orthogonal Projection. IEEE Trans. Signal Process. Xiaofeng Liu, Qing Wang, Yunfeng Shao, Yanhui Geng, Yinchuan Li
2024	J	`jnl`	Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. IEEE Trans. Big Data Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Yongheng Wang, Chao Wu
2023	A	`conf`	A constrained Bayesian approach to out-of-distribution prediction. UAI Ziyu Wang, Binjie Yuan, Jiaxun Lu, Bowen Ding, Yunfeng Shao, Qibin Wu, Jun Zhu
2023	J	`jnl`	Active and Compact Entropy Search for High-Dimensional Bayesian Optimization. IEEE Trans. Knowl. Data Eng. Run Li, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
2023	J	`jnl`	ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation. CoRR Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen
2023	J	`jnl`	Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering. CoRR Xu Zhang, Wenpeng Li, Yunfeng Shao, Yinchuan Li
2023	—	`conf`	GFlowNets with Human Feedback. Tiny Papers @ ICLR Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao
2023	J	`jnl`	GFlowNets with Human Feedback. CoRR Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao
2023	A*	`conf`	Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
2023	J	`jnl`	Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
2023	A*	`conf`	Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. IJCAI Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
2023	J	`jnl`	Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. CoRR Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
2023	J	`jnl`	How Global Observation Works in Federated Learning: Integrating Vertical Training Into Horizontal Federated Learning. IEEE Internet Things J. Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief, Jie Chuai
2023	—	`conf`	Large Sparse Kernels for Federated Learning. Tiny Papers @ ICLR Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu
2023	B	`conf`	Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning. ICPP Songli Zhang, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen
2023	J	`jnl`	Multi-agent Policy Reciprocity with Theoretical Guarantee. CoRR Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao
2023	—	`conf`	One Important Thing To Do Before Federated Training. Tiny Papers @ ICLR Yichu Xu, Wenqian Li, Yinchuan Li, Yunfeng Shao, Yan Pang, De-Chuan Zhan
2023	—	`conf`	Regularized Offline GFlowNets. Tiny Papers @ ICLR Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li
2023	J	`jnl`	Source-free and black-box domain adaptation via distributionally adversarial training. Pattern Recognit. Yucheng Shi, Kunhong Wu, Yahong Han, Yunfeng Shao, Bingshuai Li, Fei Wu
2023	A*	`conf`	To Store or Not? Online Data Selection for Federated Learning with Limited Storage. WWW Chen Gong, Zhenzhe Zheng, Fan Wu, Yunfeng Shao, Bingshuai Li, Guihai Chen
2023	J	`jnl`	Universal Domain Adaptation via Compressive Attention Matching. CoRR Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu
2022	—	`conf`	A Distributed Threshold Additive Homomorphic Encryption for Federated Learning with Dropout Resiliency Based on Lattice. CSS Haibo Tian, Yanchuan Wen, Fangguo Zhang, Yunfeng Shao, Bingshuai Li
2022	A*	`conf`	Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. NeurIPS Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan
2022	J	`jnl`	Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. CoRR Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan
2022	A	`conf`	Avoid Overfitting User Specific Information in Federated Keyword Spotting. INTERSPEECH Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
2022	J	`jnl`	Avoid Overfitting User Specific Information in Federated Keyword Spotting. CoRR Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
2022	J	`jnl`	Exploring uncertainty in regression neural networks for construction of prediction intervals. Neurocomputing Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
2022	A*	`conf`	Federated Learning with Position-Aware Neurons. CVPR Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
2022	J	`jnl`	Federated Learning with Position-Aware Neurons. CoRR Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
2022	J	`jnl`	GFlowCausal: Generative Flow Networks for Causal Discovery. CoRR Wenqian Li, Yinchuan Li, Shengyu Zhu, Yunfeng Shao, Jianye Hao, Yan Pang
2022	B	`conf`	How Global Observation embedding in Vertical-Horizontal Federated Learning. IWCMC Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief
2022	J	`jnl`	Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching. CoRR Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Chao Wu
2022	A*	`conf`	Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief. NeurIPS Kaiyang Guo, Yunfeng Shao, Yanhui Geng
2022	J	`jnl`	Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief. CoRR Kaiyang Guo, Yunfeng Shao, Yanhui Geng
2022	J	`jnl`	ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer. CoRR Chen Gong, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen
2022	J	`jnl`	On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies. CoRR Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li
2022	A*	`conf`	Personalized Federated Learning via Variational Bayesian Inference. ICML Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao
2022	J	`jnl`	Personalized Federated Learning via Variational Bayesian Inference. CoRR Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao
2022	A*	`conf`	S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? KDD Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
2022	J	`jnl`	S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? CoRR Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
2022	J	`jnl`	Sparse Federated Learning with Hierarchical Personalization Models. CoRR Xiaofeng Liu, Yinchuan Li, Yunfeng Shao, Qing Wang
2022	J	`jnl`	Tensor Decomposition based Personalized Federated Learning. CoRR Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li
2021	J	`jnl`	Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes. CoRR Xin-Chun Li, Le Gan, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
2021	J	`jnl`	Black-box Probe for Unsupervised Domain Adaptation without Model Transferring. CoRR Kunhong Wu, Yucheng Shi, Yahong Han, Yunfeng Shao, Bingshuai Li
2021	C	`conf`	Communication Reducing Quantization for Federated Learning with Local Differential Privacy Mechanism. ICCC Huixuan Zong, Qing Wang, Xiaofeng Liu, Yinchuan Li, Yunfeng Shao
2021	J	`jnl`	Convergence Analysis and System Design for Federated Learning Over Wireless Networks. IEEE J. Sel. Areas Commun. Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief
2021	J	`jnl`	Convergence Analysis and System Design for Federated Learning over Wireless Networks. CoRR Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief
2021	B	`conf`	Convergence analysis and Design principle for Federated learning in Wireless network. GLOBECOM Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief
2021	J	`jnl`	Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals. CoRR Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
2021	—	`conf`	FedPHP: Federated Personalization with Inherited Private Models. ECML/PKDD (1) Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
2021	J	`jnl`	How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning. CoRR Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief
2021	J	`jnl`	Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions. CoRR Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng
2021	J	`jnl`	Preliminary Steps Towards Federated Sentiment Classification. CoRR Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
2021	J	`jnl`	Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning. CoRR Haibo Tian, Fangguo Zhang, Yunfeng Shao, Bingshuai Li
2021	J	`jnl`	Structured Directional Pruning via Perturbation Orthogonal Projection. CoRR Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng
2021	J	`jnl`	Unified Group Fairness on Federated Learning. CoRR Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao
2020	A*	`conf`	Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation. IJCAI Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
2020	J	`jnl`	Loosely Coupled Federated Learning Over Generative Models. CoRR Shaoming Song, Yunfeng Shao, Jian Li
2018	C	`conf`	A Grid Projection Method Based on Ultrasonic Sensor for Parking Space Detection. IGARSS Yunfeng Shao, Pengzhen Chen, Tongtong Cao