About me
I am currently a researcher in Qiyuan Lab, Beijing, China. Before that, I was a post-doctoral researcher in Department of Computer Science and Technology in the Tsinghua University from 2020 to 2022. I work closely with Prof. Jun Zhu. I received the Ph.D degree from the Institute of Information Science of Beijing Jiaotong University (BJTU) in 2020 (advised by Prof. Yao Zhao). I was a Visiting Student with the Department of Computer Science, University of Rochester (UR) from 2018 to 2019, working with Prof. Ji Liu.
Research Interests
Machine learning, particularly data selection, continual learning, zero-shot learning, few-shot learning, and adversarial learning.
Computer vision, particularly image clustering, classification, and retrieval, motion segmentation, activity recognition, and video summarization.
News
- 2023/10 -- Our paper "Towards a General Framework for Continual Learning with Pre-training" have been accepted by NeurIPS 2023 workshop.
- 2023/09 -- Two paper have been accepted by NeurIPS 2023, one of which has been recommended as a spotlight.
- 2023/08 -- Our wonderful work "Incorporating Neuro-inspired Adaptability for Continual Learning in Artificial Intelligence" is accepted in principle in Nature Machine Intelligence. Thank you to my closest collaborator, Dr.Liyuan Wang. We have already achieved a lot, and will continue to accomplish even more amazing work.
- 2023/02 -- Our wonderful work "A Comprehensive Survey of Continual Learning: Theory Method and Application" is released in arXiv.
- 2023/01 -- Our paper "ATZSL: Defensive zero-shot recognition in the presence of adversaries" is accepted by IEEE Trans. on MM.
- 2022/12 -- It is a great honor to be invited to join CSIG Committe.
- 2022/08 -- Our paper "Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding" is accepted by IEEE Trans. on MM.
- 2022/07 -- Our paper "CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One" is accepted by ECCV 2022.
- 2022/06 -- Our paper "The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification" and "One-step Low-Rank Representation for Clustering" are accepted by ACM MM 2022.
- 2022/06 -- Our paper "Diagnosing Ensemble Few-Shot Classifiers" is accepted by IEEE Transactions on Visualization and Computer Graphics.
- 2022/01 -- Our paper "Memory Replay with Data Compression for Continual Learning" is accepted by ICLR 2022.
- 2021/12 -- Our paper "Taking Modality-free Human Identification as Zero-shot Learning" is accepted by IEEE Trans. on CSVT.
- 2021/11 -- I obtained the China Postdoctoral Science Foundation (General Program).
- 2021/09 -- Our paper "Does deep machine vision have just noticeable difference (JND)?" is accepted by IEEE Trans. on CSVT.
- 2021/08 -- I obtained the Youth Foundation of National Natural Science Foundation of China.
- 2021/06 -- I obtained the China Postdoctoral Science Foundation (Special Funding).
- 2021/05 -- A chinese survey about propotype learning has been accepted by the Journal of Software.
- 2021/03 -- Our paper "Double Low-rank Representation with Projection Distance Penalty for Clustering" has been accepted by CVPR2021.
- 2021/02 -- Our paper "Does deep machine vision have just noticeable difference (JND)?" is available here.
- 2020/12 -- A review for recent works in Few-shot Learning is available here.
- 2020/04 -- Our paper has been accepted by Image and Vision Computing.
- 2020/03 -- Our paper has been accepted by IEEE Trans. on CSVT.
- 2020/02 -- Our paper has been accepted by CVPR 2020.
- 2019/12 -- I accepted the invitation to serve as Program Committee (PC) member of IJCAI 2020.
- 2019/12 -- Our paper has been accepted by CVM 2020.
- 2019/12 -- Our paper has been accepted by ACM TIST.
- 2019/11 -- One paper has been accepted by TMM.
- 2019/11 -- One paper has been accepted by NeuCom.
- 2019/10 -- I won the National Scholarship again.
Publications
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Honors and Awards
Service
Reviewer: AI, T-PAMI, T-CSVT, T-NNLS, NeuCom, MTA, IJCAI, CVPR.