Yunfeng Shao

发表

Asynchronous Distributed Data Parallelism for Machine Learning

Zhengtong Yan, Yunfeng Shao, 2015 .

Sparse Federated Learning with Hierarchical Personalized Models

Yunfeng Shao, Xiaofeng Liu, Yinchuan Li, 2022, 2203.13517.

Personalized Federated Learning via Variational Bayesian Inference

Yunfeng Shao, Xu Zhang, Wenpeng Li, 2022, ICML.

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

Kun Kuang, Furui Liu, Yunfeng Shao, 2022, KDD.

DP2-VAE: Differentially Private Pre-trained Variational Autoencoders

Mahdi Karami, Yaoliang Yu, Yunfeng Shao, 2022, ArXiv.

Tensor Decomposition based Personalized Federated Learning

Yunfeng Shao, Xiaofeng Liu, Yinchuan Li, 2022, ArXiv.

Avoid Overfitting User Specific Information in Federated Keyword Spotting

De-Chuan Zhan, Yunfeng Shao, Yinchuan Li, 2022, INTERSPEECH.

GFlowCausal: Generative Flow Networks for Causal Discovery

Jianye Hao, Yunfeng Shao, Shengyu Zhu, 2022, arXiv.org.

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

Yanhui Geng, Yunfeng Shao, Kaiyang Guo, 2022, ArXiv.

Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching

Yunfeng Shao, Chao Wu, Yongheng Wang, 2022, IEEE Transactions on Big Data.

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

Fan Wu, Guihai Chen, Zhenzhe Zheng, 2022, ArXiv.

Online Data Selection for Federated Learning with Limited Storage

Guihai Chen, Zhenzhe Zheng, Yunfeng Shao, 2022 .

Unified Group Fairness on Federated Learning

Kun Kuang, Long Chen, Yunfeng Shao, 2021, ArXiv.

Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals pdf

Yunfeng Shao, Yahong Han, Yucheng Shi, 2021, ArXiv.

Active and Compact Entropy Search for High-Dimensional Bayesian Optimization

Yunfeng Shao, Yahong Han, Yucheng Shi, 2023, IEEE Transactions on Knowledge and Data Engineering.

Loosely Coupled Federated Learning Over Generative Models pdf

Yunfeng Shao, Jian Li, Shaoming Song, 2020, ArXiv.

Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation

Yunfeng Shao, Yahong Han, Aming Wu, 2020, IJCAI.

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

Jianye Hao, Yan Zheng, Yunfeng Shao, 2023, IJCAI.

GFlowCausal: Generative Flow Networks for Causal Discovery

Jianye Hao, Yunfeng Shao, Shengyu Zhu, 2022, ArXiv.

Universal Domain Adaptation via Compressive Attention Matching

Kun Kuang, Yunfeng Shao, Junkun Yuan, 2023, 2304.11862.

DP2-VAE: Differentially Private Pre-trained Variational Autoencoders

Mahdi Karami, Yaoliang Yu, Yunfeng Shao, 2022, ArXiv.

Exploring uncertainty in regression neural networks for construction of prediction intervals

Yahong Han, Yucheng Shi, Yunfeng Shao, 2022, Neurocomputing.

Convergence Analysis and System Design for Federated Learning Over Wireless Networks

K. Letaief, Pingyi Fan, Yunfeng Shao, 2021, IEEE Journal on Selected Areas in Communications.

Universal Domain Adaptation via Compressive Attention Matching

Kun Kuang, Yunfeng Shao, Junkun Yuan, 2023, ArXiv.

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

Fan Wu, Guihai Chen, Zhenzhe Zheng, 2022, WWW.

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

Fan Wu, Guihai Chen, Zhenzhe Zheng, 2022, ArXiv.

Communication Reducing Quantization for Federated Learning with Local Differential Privacy Mechanism

Yinchuan Li, Qing Wang, Xiaofeng Liu, 2021, 2021 IEEE/CIC International Conference on Communications in China (ICCC).

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

Fangguo Zhang, Yunfeng Shao, Bingshuai Li, 2021, ArXiv.

Sparse Personalized Federated Learning.

Yanhui Geng, Yunfeng Shao, Xu Zhang, 2021, IEEE transactions on neural networks and learning systems.

Sparse Federated Learning with Hierarchical Personalization Models

Yunfeng Shao, Xiaofeng Liu, Yinchuan Li, 2022, ArXiv.

SPARSE PERSONALIZED FEDERATED LEARNING VIA

Yanhui Geng, Yunfeng Shao, Xiaofeng Liu, 2021 .

GFlowNets with Human Feedback

Jianye Hao, Yunfeng Shao, Yinchuan Li, 2023, Tiny Papers @ ICLR.

Generalized Universal Domain Adaptation with Generative Flow Networks

Kun Kuang, Jianye Hao, Yunfeng Shao, 2023, arXiv.org.

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

Yanhui Geng, Yunfeng Shao, Kaiyang Guo, 2022, NeurIPS.

Preliminary Steps Towards Federated Sentiment Classification

Shaoming Song, Yunfeng Shao, Bingshuai Li, 2021, ArXiv.

Domain Adaptation without Model Transferring

Yahong Han, Qi Tian, Yucheng Shi, 2021, 2107.10174.

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

Yunfeng Shao, Yahong Han, Yucheng Shi, 2021, ArXiv.

Multi-agent Policy Reciprocity with Theoretical Guarantee

Jianye Hao, Yunfeng Shao, Yinchuan Li, 2023, ArXiv.

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

Yunfeng Shao, Xu Zhang, Wenpeng Li, 2023, ArXiv.

A constrained Bayesian approach to out-of-distribution prediction

Yunfeng Shao, Jun Zhu, Bowen Ding, 2023, UAI.

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

Pingyi Fan, Khaled B. Letaief, Shuo Wan, 2021, IEEE Internet of Things Journal.

Convergence analysis and Design principle for Federated learning in Wireless network

K. Letaief, Pingyi Fan, Yunfeng Shao, 2021, 2021 IEEE Global Communications Conference (GLOBECOM).

A Communication-efficient Federated learning assisted by Central data: Implementation of vertical training into Horizontal Federated learning

K. Letaief, Pingyi Fan, Yunfeng Shao, 2021 .

On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies

Dong Li, Jianye Hao, Yunfeng Shao, 2022, ArXiv.

Generalized Universal Domain Adaptation with Generative Flow Networks

Kun Kuang, Jianye Hao, Yunfeng Shao, 2023, ACM Multimedia.

Universal Domain Adaptation via Compressive Attention Matching

Kun Kuang, Yunfeng Shao, Junkun Yuan, 2023, ArXiv.

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

Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, 2023, ArXiv.

Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again

Yunfeng Shao, Yinchuan Li, Bingshuai Li, 2022, NeurIPS.

Federated Learning with Position-Aware Neurons

Yunfeng Shao, Yinchuan Li, Bingshuai Li, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

FedPHP: Federated Personalization with Inherited Private Models

De-Chuan Zhan, Xin-Chun Li, Yunfeng Shao, 2021, ECML/PKDD.

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

Yunfeng Shao, Chao Wu, Yinchuan Li, 2022, ArXiv.

Multi-agent Continuous Control with Generative Flow Networks.

Yunfeng Shao, Yinchuan Li, Shuang Luo, 2024, Neural networks : the official journal of the International Neural Network Society.