Yunfeng Shao

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 51

Top Topics

Domain Adaptation

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE Geosci. Remote. Sens. Lett.

Publications

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) (2023)
Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao
Multi-agent Policy Reciprocity with Theoretical Guarantee. CoRR (2023)
Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. CoRR (2023)
Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao
GFlowNets with Human Feedback. CoRR (2023)
Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu
Universal Domain Adaptation via Compressive Attention Matching. CoRR (2023)
Xu Zhang, Wenpeng Li, Yunfeng Shao, Yinchuan Li
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering. CoRR (2023)
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 (2023)
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) (2023)
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)
Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief
How Global Observation embedding in Vertical-Horizontal Federated Learning. IWCMC (2022)
Dihong Jiang, Guojun Zhang, Mahdi Karami, Xi Chen, Yunfeng Shao, Yaoliang Yu
-VAE: Differentially Private Pre-trained Variational Autoencoders. CoRR (2022)
Kaiyang Guo, Yunfeng Shao, Yanhui Geng
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief. CoRR (2022)
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 (2022)
Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao
Personalized Federated Learning via Variational Bayesian Inference. CoRR (2022)
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 (2022)
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 (2022)
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)
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 (2022)
Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies. CoRR (2022)
Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
Federated Learning with Position-Aware Neurons. CVPR (2022)
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)
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 (2022)
Kaiyang Guo, Yunfeng Shao, Yanhui Geng
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief. NeurIPS (2022)
Wenqian Li, Yinchuan Li, Shengyu Zhu, Yunfeng Shao, Jianye Hao, Yan Pang
GFlowCausal: Generative Flow Networks for Causal Discovery. CoRR (2022)
Xiaofeng Liu, Yinchuan Li, Yunfeng Shao, Qing Wang
Sparse Federated Learning with Hierarchical Personalization Models. CoRR (2022)
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)
Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao
Personalized Federated Learning via Variational Bayesian Inference. ICML (2022)
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 (2022)
Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li
Tensor Decomposition based Personalized Federated Learning. CoRR (2022)
Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
Federated Learning with Position-Aware Neurons. CoRR (2022)
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) (2021)
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 (2021)
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)
Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao
Unified Group Fairness on Federated Learning. CoRR (2021)
Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng
Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions. CoRR (2021)
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 (2021)
Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
Preliminary Steps Towards Federated Sentiment Classification. CoRR (2021)
Haibo Tian, Fangguo Zhang, Yunfeng Shao, Bingshuai Li
Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning. CoRR (2021)
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 (2021)
Kunhong Wu, Yucheng Shi, Yahong Han, Yunfeng Shao, Bingshuai Li
Black-box Probe for Unsupervised Domain Adaptation without Model Transferring. CoRR (2021)
Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals. CoRR (2021)
Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
FedPHP: Federated Personalization with Inherited Private Models. ECML/PKDD (1) (2021)
Huixuan Zong, Qing Wang, Xiaofeng Liu, Yinchuan Li, Yunfeng Shao
Communication Reducing Quantization for Federated Learning with Local Differential Privacy Mechanism. ICCC (2021)
Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng
Structured Directional Pruning via Perturbation Orthogonal Projection. CoRR (2021)
Shaoming Song, Yunfeng Shao, Jian Li
Loosely Coupled Federated Learning Over Generative Models. CoRR (2020)
Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation. IJCAI (2020)
Zhongjing Ma, Nan Yang, Suli Zou, Yunfeng Shao
Charging Coordination of Plug-In Electric Vehicles in Distribution Networks With Capacity Constrained Feeder Lines. IEEE Trans. Control. Syst. Technol. 26 (5) (2018)
Yunfeng Shao, Pengzhen Chen, Tongtong Cao
A Grid Projection Method Based on Ultrasonic Sensor for Parking Space Detection. IGARSS (2018)
Kai Zhang, Yunfeng Shao, Zhaozong Zhang, Wei Hu
An Efficient Genetic Algorithm for Solving Constraint Shortest Path Problem Through Specified Vertices. BIC-TA (1) (2018)
Suli Zou, Zhongjing Ma, Yunfeng Shao, Long Ran, Xiangdong Liu
Efficient and dynamic double auctions for resource allocation. CDC (2016)
Robert Wang, Wei Wang, Yunfeng Shao, Feng Hong, Pei Wang, Yunkai Deng, Zhimin Zhang, Otmar Loffeld
First Bistatic Demonstration of Digital Beamforming in Elevation With TerraSAR-X as an Illuminator. IEEE Trans. Geosci. Remote. Sens. 54 (2) (2016)
Gang Liu, Robert Wang, Yunkai Deng, Runpu Chen, Yunfeng Shao, Zhihui Yuan
A New Quality Map for 2-D Phase Unwrapping Based on Gray Level Co-Occurrence Matrix. IEEE Geosci. Remote. Sens. Lett. 11 (2) (2014)
Yunfeng Shao, Robert Wang, Yunkai Deng, Yue Liu, Runpu Chen, Gang Liu, Timo Balz, Otmar Loffeld
Digital Elevation Model Reconstruction in Multichannel Spaceborne/Stationary SAR Interferometry. IEEE Geosci. Remote. Sens. Lett. 11 (12) (2014)
Xinglin Li, Hongjun Song, Robert Wang, Yunfeng Shao, Runpu Chen
A patch-based filter for InSAR interferograms. IGARSS (2014)
Donglie Liu, Yunfeng Shao, Zhenguo Liu, Björn Riedel, Andrew Sowter, Wolfgang Niemeier, Zhengfu Bian
Evaluation of InSAR and TomoSAR for Monitoring Deformations Caused by Mining in a Mountainous Area with High Resolution Satellite-Based SAR. Remote. Sens. 6 (2) (2014)
Runpu Chen, Weidong Yu, Robert Wang, Gang Liu, Yunfeng Shao
Interferometric Phase Denoising by Pyramid Nonlocal Means Filter. IEEE Geosci. Remote. Sens. Lett. 10 (4) (2013)
Runpu Chen, Weidong Yu, Robert Wang, Gang Liu, Yunfeng Shao
Integrated Denoising and Unwrapping of InSAR Phase Based on Markov Random Fields. IEEE Trans. Geosci. Remote. Sens. 51 (8) (2013)
Yunfeng Shao, Robert Wang, Yunkai Deng, Yue Liu, Runpu Chen, Gang Liu, Timo Balz, Otmar Loffeld
Correction to "Error Analysis of Bistatic SAR Imaging and Stereoscopy Bistatic SAR". IEEE Trans. Geosci. Remote. Sens. 51 (11) (2013)
Robert Wang, Yunkai Deng, Zhimin Zhang, Yunfeng Shao, Jixiang Hou, Gang Liu, Xiayi Wu
Double-Channel Bistatic SAR System With Spaceborne Illuminator for 2-D and 3-D SAR Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 51 (8) (2013)
Yunfeng Shao, Robert Wang, Yunkai Deng, Yue Liu, Runpu Chen, Gang Liu, Otmar Loffeld
Fast Backprojection Algorithm for Bistatic SAR Imaging. IEEE Geosci. Remote. Sens. Lett. 10 (5) (2013)
Yunfeng Shao, Robert Wang, Yunkai Deng, Yue Liu, Runpu Chen, Gang Liu, Timo Balz, Otmar Loffeld
Error Analysis of Bistatic SAR Imaging and Stereoscopy Bistatic SAR. IEEE Trans. Geosci. Remote. Sens. 51 (8) (2013)
Runpu Chen, Weidong Yu, Yunkai Deng, Robert Wang, Gang Liu, Yunfeng Shao
Pyramid non-local mean filter for interferometric phase denoising. IGARSS (2012)
Yunfeng Shao, Robert Wang, Yunkai Deng, Yue Liu, Runpu Chen, Gang Liu
back-projection algorithm for SAR imaging. IGARSS (2012)