Lin, Baijiong

9 publications

ICLR 2026 RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking Format Zhehao Huang, Yuhang Liu, Baijiong Lin, Yixin Lou, Zhengbao He, Hanling Tian, Tao Li, Xiaolin Huang

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