Baijiong Lin

According to our database, Baijiong Lin authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization.

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

CoRR, 2024

2023

LibMTL: A Python Library for Deep Multi-Task Learning.

Baijiong Lin, Yu Zhang

J. Mach. Learn. Res., 2023

Effective and Parameter-Efficient Reusing Fine-Tuned Models.

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

CoRR, 2023

A Scale-Invariant Task Balancing Approach for Multi-Task Learning.

Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu

CoRR, 2023

Efficient Transfer Learning in Diffusion Models via Adversarial Noise.

Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu

CoRR, 2023

2022

Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning.

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

Trans. Mach. Learn. Res., 2022

LibMTL: A Python Library for Multi-Task Learning.

Baijiong Lin, Yu Zhang

CoRR, 2022

Effective, Efficient and Robust Neural Architecture Search.

Zhixiong Yue, Baijiong Lin, Yu Zhang, Christy Jie Liang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

A Closer Look at Loss Weighting in Multi-Task Learning.

Baijiong Lin, Feiyang Ye, Yu Zhang

CoRR, 2021

Multi-Objective Meta Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Multi-Task Adversarial Attack.

Pengxin Guo, Yuancheng Xu, Baijiong Lin, Yu Zhang

CoRR, 2020

Effective, Efficient and Robust Neural Architecture Search.

Zhixiong Yue, Baijiong Lin, Xiaonan Huang, Yu Zhang

CoRR, 2020