Scholar
Yinchuan Li
Google Scholar ID: M6YfuCTSaKsC
Principal Researcher, Noah's Ark Lab
Citations & Impact
Citations
1,061
H-index
19
i10-index
25
Publications
20
Co-authors
12
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Excellent Paper Award at the 2019 IEEE International Conference on Signal, Information and Data Processing; Paper accepted by IEEE Transactions on Neural Networks and Learning Systems in 2023, titled 'Sparse Personalized Federated Learning'; Paper accepted by ICCV 2023, titled 'Universal Domain Adaptation via Compressive Attention Matching'; Paper accepted by IJCAI 2023, titled 'Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs'; Four papers accepted by ICLR 2023 Tiny Paper; Paper accepted by ICLR 2023, titled 'CFlowNets: Continuous Control with Generative Flow Networks'; Paper accepted by ICLR 2023, titled 'DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks'; Paper accepted by NeurIPS 2022, titled 'Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again'; Paper accepted by SIGKDD 2022, titled 'S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?'; Paper accepted by ICML 2022, titled 'Personalized Federated Learning via Variational Bayesian Inference'; Paper accepted by CVPR 2022, titled 'Federated Learning with Position-Aware Neurons'; Best Ph.D. Thesis Award of Chinese Institute of Electronics in 2023; Excellent Ph.D. Thesis Award from Beijing Institute of Technology in 2020; Excellent Paper Award (TOP 5/2000+ submissions) at IEEE ICSIDP in 2019.
Research Experience
- Senior Technical Consultant at Santé Ventures, USA, from December 2019 to August 2020, leading a team to develop a reinforcement learning system for financial stock investment from scratch.
Education
- Ph.D. in Electronic Engineering from Beijing Institute of Technology, 2015/09 - 2020/06, supervised by Academician Teng LONG and Prof. Zegang DING; Joint Ph.D. student in Electrical Engineering at Columbia University, 2017/11 - 2020/06, supervised by Prof. Xiaodong WANG; Bachelor in Electronic Engineering from Beijing Institute of Technology, 2011/09 - 2015/06.
Background
- Currently a Principal Researcher at Huawei Noah’s Ark Lab. Research interests include machine learning, deep learning, and reinforcement learning.
Miscellany
- First Prize in the Beijing Undergraduate Electronic Design Contest in 2014 (Top 1/800+).
