Multiple papers accepted to NeurIPS 2025, IEEE Transactions on Circuits and Systems for Video Technology, Scientific Data, The Innovation, ICML 2025, Pattern Recognition, CVPR 2025, ISCAS 2025, AAAI 2025, and ICASSP 2025.
Research Experience
Assistant Researcher at the Institute of Computing Technology, Chinese Academy of Sciences (present). Previously, he worked as a postdoctoral researcher (2021.10 - 2024.8) and intern researcher (2021.7-2021.10) at ICT, collaborating with Prof. Yongjun Xu and Prof. Zhulin An on deep learning.
Education
Ph.D. in Machine Learning from Guangdong University of Technology (2018-2021), supervised by Prof. Wing-Kuen Ling; and Brunel University London (2019-2020), supervised by Prof. Lu Gan. M.Eng. in Computer Science from Guangdong University of Technology (2016-2018), supervised by Prof. Zhifeng Hao and Prof. Ruichu Cai. B.S. in Mathematics from Jiangxi Normal University (2012-2016).
Background
Research interests lie at the intersection of machine learning and neuroscience, with a focus on memorization mechanisms in deep learning models, enhancing neural networks' memory capacity, unsupervised clustering of neural signals, advanced feature extraction, and non-convex optimization methods for neural data analysis.
Miscellany
Offering 1-2 Master/Ph.D. positions and 1-2 internship openings annually in the fields of machine learning, deep learning, and optimization. Both remote and on-site internship opportunities are available.