Lin, Baijiong

8 publications

ICML 2025 PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model Baijiong Lin, Weisen Jiang, Yuancheng Xu, Hao Chen, Ying-Cong Chen

ICML 2024 Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu

ICLRW 2024 Efficient Transfer Learning in Diffusion Models via Adversarial Noise Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu

ECCV 2024 MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Yingcong Chen

NeurIPS 2024 RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models Shuhao Chen, Weisen Jiang, Baijiong Lin, James T. Kwok, Yu Zhang

MLOSS 2023 LibMTL: A Python Library for Deep Multi-Task Learning Baijiong Lin, Yu Zhang

TMLR 2022 Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning Baijiong Lin, Feiyang Ye, Yu Zhang, Ivor Tsang

NeurIPS 2021 Multi-Objective Meta Learning Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang