Scholar
Baijiong Lin
Google Scholar ID: KVdbYTYAAAAJ
Ph.D. Student, The Hong Kong University of Science and Technology (Guangzhou)
Citations & Impact
Citations
560
H-index
10
i10-index
11
Publications
18
Co-authors
12
list available
Contact
Publications
Resume (English only)
Academic Achievements
- 1. MTMamba++ accepted by IEEE TPAMI.
- 2. PARM accepted by ICML 2025.
- 3. Tutorial proposal accepted by IJCAI 2025.
- 4. Survey on Gradient-Based Multi-Objective Deep Learning available on arXiv.
- 5. MTMamba accepted by ECCV 2024.
- 6. LibMTL: A Python Library for Multi-Task Learning published in JMLR.
- 7. Paper 'Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning' published in TMLR.
- 8. Paper 'Multi-Objective Meta Learning' published in NeurIPS 2021.
Research Experience
- During his Ph.D., he has been involved in multiple research projects and has published several papers.
Education
- Ph.D. student in Artificial Intelligence at The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Ying-Cong Chen. Previously worked with Prof. Yu Zhang at Southern University of Science and Technology.
Background
- Research interests include RLVR, RLHF, multi-task learning, and AI4Science.
