Baijiong Lin avatar

Baijiong Lin (林百炅)

Ph.D. Student @ HKUST(GZ)

blin241 (at) connect.hkust-gz.edu.cn
bj.lin.email (at) gmail.com

GitHub  /  Google Scholar  /  Semantic Scholar  /  DBLP
About Me

I am currently a second-year Ph.D. student in Artificial Intelligence Thrust of The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Yingcong Chen. Before that, I had a great time at Southern University of Science and Technology, working as a research assistant under the supervision of Prof. Yu Zhang. I received my Bachelor degree from School of Mathematical Sciences, South China Normal University in Jun. 2020. My research interests include Machine Learning, Artificial Intelligence, and AI4Science, especially in multi-task learning and generative modeling (AIGC).

News
  • [2023.07] One paper got accepted by JMLR!
  • [2022.10] One paper got accepted by TMLR!
  • [2021.10] One paper got accepted by NeurIPS 2021!
Publications

(* denotes equal contribution)

Journal Papers
LibMTL.png

LibMTL: A Python Library for Multi-Task Learning

Baijiong Lin and Yu Zhang.

Machine Learning Open Source Software, Journal of Machine Learning Research (JMLR), 2023.

[PDF] [Code] [Docs] GitHub Repo stars GitHub forks
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Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning

Baijiong Lin, Feiyang Ye, Yu Zhang, and Ivor W. Tsang.

Transactions on Machine Learning Research (TMLR), 2022.

[PDF]
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Binary Neutron Stars Gravitational Wave Detection Based on Wavelet Packet Analysis And Convolutional Neural Networks

Baijiong Lin, Xiangru Li, and Woliang Yu.

Frontiers of Physics (FOP), 2020.

[PDF]
Conference Papers
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Effective, Efficient and Robust Neural Architecture Search

Zhixiong Yue, Baijiong Lin, Yu Zhang, and Christy Liang.

International Joint Conference on Neural Networks (IJCNN), 2022 (oral).

[PDF]
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Multi-Objective Meta Learning

Feiyang Ye*, Baijiong Lin*, Zhixiong Yue, Pengxin Guo, Qiao Xiao, and Yu Zhang.

Neural Information Processing Systems (NeurIPS), 2021.

[PDF] [Supplemental] [Code]
Preprints
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A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization

Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, and Ivor W. Tsang.

arXiv preprint arXiv:2401.09257, 2024.

[PDF]
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BYOM: Building Your Own Multi-Task Model For Free

Weisen Jiang*, Baijiong Lin*, Han Shi, Yu Zhang, Zhenguo Li, and James T. Kwok.

arXiv preprint arXiv:2310.01886v3, 2023.

[PDF]
DBMTL.png

Dual-Balancing for Multi-Task Learning

Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu, and James T. Kwok.

arXiv preprint arXiv:2308.12029v2, 2023.

[PDF]
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Efficient Transfer Learning in Diffusion Models via Adversarial Noise

Xiyu Wang, Baijiong Lin, Daochang Liu, and Chang Xu.

arXiv preprint arXiv:2308.11948, 2023.

ICLR Workshop on Practical ML for Limited/Low Resource Settings, 2024.

[PDF]
Educations
Ph.D. in Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou)
Sep. 2022 - Present
Bachelor’s in Information and Computing Science, South China Normal University
Sep. 2016 - Jun. 2020
Experiences
SmartMore Corporation Limited
Shenzhen, China
Apr. 2022 - Sep. 2022
Research Intern, supervised by Dr. Pengguang Chen and Dr. Shu Liu
Topic: hyperparameter optimization.
Southern University of Science and Technology
Shenzhen, China
Jul. 2020 - Mar. 2022
Research Assistant, supervised by Prof. Yu Zhang
Topic: multi-task learning, meta learning, and transfer learning.
South China Normal University
Guangzhou, China
Mar. 2017 - Jan. 2020
Research Intern, supervised by Prof. Xiangru Li
Topic: gravitational wave data analysis based on deep learning.
Services
Conference Reviewer:
  • International Conference on Machine Learning (ICML): 2022, 2024
  • Neural Information Processing Systems (NeurIPS): 2022, 2023
  • International Conference on Learning Representations (ICLR): 2024
  • Computer Vision and Pattern Recognition (CVPR): 2024
  • European Conference on Computer Vision (ECCV): 2024
  • AAAI Conference on Artificial Intelligence (AAAI): 2023, 2024
Journal Reviewer: Transactions on Machine Learning Research (TMLR)
Awards

Outstanding Undergraduate Thesis Award, South China Normal University

2020

Outstanding Undergraduate Award (about Top 1%), South China Normal University

2020