Fei Chen

Researcher in Machine Learning
Huawei Noah's Ark Lab, Hong Kong
Email: feierustc at gmail.com, chen.f at huawei.com
Google Scholar

Education

2010 - 2014	PhD in Computer Science, The University of Hong Kong
	Thesis: Linear Programming Techniques for Algorithms with Applications in Economics
	Advisor: Dr. Hubert Chan
2006 - 2010	Bachelor in Engineering, University of Science and Technology of China

Previous Positions

2015 - 2016	Postdoctoral researcher, KTH Royal Institute of Technology, Sweden
	Advisor: Dr. Danupon Nanongkai
2014 - 2015	Postdoctoral researcher, The University of Hong Kong
	Advisor: Dr. Hubert Chan

Research Interests

Deep Learning, Algorithms

Preprints

* indicates equal contribution

Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen*, Mi Luo*, Zhenhua Dong, Zhenguo Li and Xiuqiang He
Link: arXiv
Preliminary version: Federated Meta-Learning for Recommendation
Links: arXiv, draft
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li, Fengwei Zhou, Fei Chen and Hang Li
Link: arXiv

Publications

† indicates alphabetical order
* indicates equal contribution

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang and Jiashi Feng
Advances in Neural Information Processing Systems (NeurIPS), 2021
Links: conference, arXiv
Architecture Personalization in Resource-constrained Federated Learning
Mi Luo, Fei Chen, Zhenguo Li and Jiashi Feng
NeurIPS Workshop on New Frontiers in Federated Learning (NFFL), 2021
Link: workshop
MetaAugment: Sample-Aware Data Augmentation Policy Learning
Fengwei Zhou*, Jiawei Li*, Chuanlong Xie*, Fei Chen, Lanqing Hong, Rui Sun and Zhenguo Li
AAAI Conference on Artificial Intelligence (AAAI), 2021
Links: conference, arXiv
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection
Mi Luo*, Fei Chen*, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng and Zhenguo Li
The Web Conference (WWW), 2020
Links: conference, arXiv
Analyzing Node-Weighted Oblivious Matching Problem via Continuous LP with Jump Discontinuity
† T-H. Hubert Chan, Fei Chen and Xiaowei Wu
ACM Transactions on Algorithms (TALG), 2018
Links: journal, draft
Double Auction for Resource Allocation in Cloud Computing
Zhichao Zhao, Fei Chen, T-H. Hubert Chan and Chuan Wu
International Conference on Cloud Computing and Services Science (CLOSER), 2017
Link: conference
Beating Ratio 0.5 for Weighted Oblivious Matching Problems
† Melika Abolhassani, T-H. Hubert Chan, Fei Chen, Hossein Esfandiari, Mohammadtaghi Hajiaghayi, Hamid Mahini and Xiaowei Wu
European Symposium on Algorithms (ESA), 2016
Link: conference
Revealing Optimal Thresholds for Generalized Secretary Problem via Continuous LP: Impacts on Online K-Item Auction and Bipartite K-Matching with Random Arrival Order
† T-H. Hubert Chan, Fei Chen and Shaofeng H.-C. Jiang
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2015
Link: conference
Preliminary version: A Primal-Dual Continuous LP Method on the Multi-choice Multi-best Secretary Problem
Link: arXiv
Perfect Pipelining for Streaming Large File in Peer-to-peer Networks
† Fei Chen and Xiaowei Wu
IFIP International Conference on Theoretical Computer Science (TCS), 2014
Links: conference, draft
Ranking on Arbitrary Graphs: Rematch via Continuous LP with Monotone and Boundary Condition Constraints
† T-H. Hubert Chan, Fei Chen, Xiaowei Wu and Zhichao Zhao
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2014
SIAM Journal on Computing (SICOMP), 2018
Links: conference, journal, arXiv
Optimizing Social Welfare for Network Bargaining Games in the Face of Unstability, Greed and Spite
† T-H. Hubert Chan, Fei Chen and Li Ning
European Symposium on Algorithms (ESA), 2012
Theory of Computing Systems (TOCS), 2020
Links: conference, journal, draft
A Natural Visible and Infrared Facial Expression Database for Expression Recognition and Emotion Inference
Shangfei Wang, Zhilei Liu, Siliang Lv, Yanpeng Lv, Guobing Wu, Peng Peng, Fei Chen and Xufa Wang
IEEE Transactions on Multimedia (MM), 2010
Links: journal, draft