Baijiong Lin 林百炅

@inproceedings{lu2026policy,
  title={Policy and World Modeling Co-Training for Language Agents},
  author={Ning Lu and Baijiong Lin and Shengcai Liu and Jiahao Wu and Haoze Lv and Yanbin Wei and Lingting Zhu and Shengju Qian and Xin Wang and Ying-Cong Chen and Qi Wang and Ke Tang},
  booktitle={Conference on Empirical Methods in Natural Language Processing},
  year={2026},
  url={https://arxiv.org/abs/2606.02388}
}

@article{chen2026modl,
  title={Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond},
  author={Weiyu Chen and Baijiong Lin and Xiaoyuan Zhang and Xi Lin and Han Zhao and Qingfu Zhang and James T. Kwok},
  journal={Transactions on Machine Learning Research},
  year={2026},
}

@inproceedings{huang2026vlrouterbench,
  title={VL-RouterBench: A Benchmark for Vision-Language Model Routing},
  author={Zhehao Huang and Baijiong Lin and Jingyuan Zhang and Jingying Wang and Yuhang Liu and Ning Lu and Tao Li and Xiaolin Huang},
  booktitle={IEEE/CVF Computer Vision and Pattern Recognition},
  year={2026},
}

@inproceedings{huang2026efficient,
  title={Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression},
  author={Jiameng Huang and Baijiong Lin and Guhao Feng and Jierun Chen and Di He and Lu Hou},
  booktitle={AAAI Conference on Artificial Intelligence},
  year={2026},
}

@article{lin2026scale,
  title={Dual-Balancing for Multi-Task Learning},
  author={Lin, Baijiong and Jiang, Weisen and Ye, Feiyang and Zhang, Yu and Chen, Pengguang and Chen, Ying-Cong and Liu, Shu and Tsang, Ivor and Kwok, James T.},
  journal={Neural Networks},
  volume={195},
  pages={108317},
  issn={0893-6080},
  year={2026}
}

@article{lin2025mtmambaplus,
  title={{MTMamba++}: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders},
  author={Lin, Baijiong and Jiang, Weisen and Chen, Pengguang and Liu, Shu and Chen, Ying-Cong},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={47},
  number={11},
  pages={10633-10645},
  year={2025}
}

@inproceedings{lin2025parm,
  title={{PARM}: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model},
  author={Lin, Baijiong and Jiang, Weisen and Xu, Yuancheng and Chen, Hao and Chen, Ying-Cong},
  booktitle={International Conference on Machine Learning},
  year={2025}
}

@inproceedings{lin2024mtmamba,
  title={{MTMamba}: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders},
  author={Lin, Baijiong and Jiang, Weisen and Chen, Pengguang and Zhang, Yu and Liu, Shu and Chen, Ying-Cong},
  booktitle={European Conference on Computer Vision},
  year={2024}
}

@article{lin2023libmtl,
  title={{LibMTL}: A {P}ython Library for Multi-Task Learning},
  author={Baijiong Lin and Yu Zhang},
  journal={Journal of Machine Learning Research},
  volume={24},
  number={209},
  pages={1--7},
  year={2023}
}

@article{linreasonable,
  title={Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning},
  author={Lin, Baijiong and Ye, Feiyang and Zhang, Yu and Tsang, Ivor},
  journal={Transactions on Machine Learning Research},
  year={2022}
}

@inproceedings{ye2021moml,
  title={Multi-Objective Meta Learning},
  author={Ye, Feiyang and Lin, Baijiong and Yue, Zhixiong and Guo, Pengxin and Xiao, Qiao and Zhang, Yu},
  booktitle={Conference on Neural Information Processing Systems},
  year={2021}
}

@article{lin2020binary,
  title={Binary neutron stars gravitational wave detection based on wavelet packet analysis and convolutional neural networks},
  author={Lin, Bai-Jiong and Li, Xiang-Ru and Yu, Wo-Liang},
  journal={Frontiers of Physics},
  volume={15},
  pages={1--7},
  year={2020},
}