Publications

@inproceedings{li2026spvla,
  title={{SP-VLA}: A Joint Model Scheduling and Token Pruning Approach for {VLA} Model Acceleration},
  author={Li, Ye and Meng, Yuan and Sun, Zewen and Ji, Kangye and Tang, Chen and Fan, Jiajun and Ma, Xinzhu and Xia, Shu-Tao and Wang, Zhi and Zhu, Wenwu},
  booktitle={International Conference on Learning Representations},
  year={2026},
  url={https://openreview.net/forum?id=RwdGIIjPlC}
}

@inproceedings{fan2026cesar,
  title={Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio {LLMs} via Reasoning Process Rewards},
  author={Fan, Jiajun and Ren, Roger and Li, Jingyuan and Pandey, Rahul and Shivakumar, Prashanth G. and Gandhe, Ankur and Liu, Ge and Gu, Yile and Bulyko, Ivan},
  booktitle={International Conference on Learning Representations},
  year={2026},
  url={https://openreview.net/forum?id=DUr48hxO2h}
}

@article{fan2025acflow,
  title={Fine-tuning Flow Matching Generative Models with Intermediate Feedback},
  author={Fan, Jiajun and Cheng, Chaoran and Shen, Shuaike and Zhou, Xiangxin and Liu, Ge},
  journal={arXiv preprint arXiv:2510.18072},
  year={2025},
  url={https://arxiv.org/abs/2510.18072}
}

@article{wang2025proteinzero,
  title={ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning},
  author={Wang, Ziwen and Fan, Jiajun and Guo, Rui and Nguyen, Thao and Ji, Heng and Liu, Ge},
  journal={arXiv preprint arXiv:2506.07459},
  year={2025},
  url={https://arxiv.org/abs/2506.07459}
}

@inproceedings{wang2025varcon,
  title={Variational Supervised Contrastive Learning},
  author={Wang, Ziwen and Fan, Jiajun and Nguyen, Thao and Ji, Heng and Liu, Ge},
  booktitle={Advances in Neural Information Processing Systems},
  year={2025},
  url={https://openreview.net/forum?id=uOOlHOq500}
}

@inproceedings{fan2025adrpo,
  title={Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models},
  author={Fan, Jiajun and Wei, Tong and Cheng, Chaoran and Chen, Yuxin and Liu, Ge},
  booktitle={Advances in Neural Information Processing Systems},
  year={2025},
  url={https://openreview.net/forum?id=aXO0xg0ttW}
}

@article{li2026prance,
  title={{PRANCE}: Joint Token-Optimization and Structural Channel-Pruning for Adaptive {ViT} Inference},
  author={Li, Ye and Tang, Chen and Meng, Yuan and Fan, Jiajun and Chai, Zenghao and Ma, Xinzhu and Wang, Zhi and Zhu, Wenwu},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2026},
  url={https://arxiv.org/abs/2407.05010}
}

@inproceedings{fan2025orwcfmw2,
  title={Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization},
  author={Fan, Jiajun and Shen, Shuaike and Cheng, Chaoran and Chen, Yuxin and Liang, Chumeng and Liu, Ge},
  booktitle={International Conference on Learning Representations},
  year={2025},
  url={https://openreview.net/forum?id=2IoFFexvuw}
}

@inproceedings{fan2024effdesign,
  title={Efficient Design-and-Control Automation with Reinforcement Learning and Adaptive Exploration},
  author={Fan, Jiajun and others},
  booktitle={NeurIPS 2024 Workshop on AI for New Drug Modalities (AI4Mat)},
  year={2024}
}

@inproceedings{wang2023ot,
  title={Optimal Transport for Treatment Effect Estimation},
  author={Wang, Hao and Fan, Jiajun and Chen, Zhichao and Li, Haoran and Liu, Weiming and Liu, Tianqiao and Dai, Quanyu and Wang, Yichao and Dong, Zhenhua and Tang, Ruiming},
  booktitle={Advances in Neural Information Processing Systems},
  year={2023},
  url={https://arxiv.org/abs/2310.18286}
}

@inproceedings{fan2023lbc,
  title={Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection},
  author={Fan, Jiajun and Zhuang, Yuzheng and Liu, Yuecheng and Hao, Jianye and Wang, Bin and Zhu, Jiangcheng and Wang, Hao and Xia, Shu-Tao},
  booktitle={International Conference on Learning Representations},
  year={2023},
  note={Oral, Top 5\%},
  url={https://openreview.net/forum?id=FeWvD0L_a4}
}

@inproceedings{fan2022gdi,
  title={Generalized Data Distribution Iteration},
  author={Fan, Jiajun and Xiao, Changnan},
  booktitle={International Conference on Machine Learning},
  year={2022},
  url={https://proceedings.mlr.press/v162/fan22c.html}
}

@article{wang2022escl,
  title={Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications},
  author={Wang, Hao and Chen, Zhichao and Fan, Jiajun and Huang, Yuxin and Liu, Weiming and Liu, Xinggao},
  journal={arXiv preprint arXiv:2210.11039},
  year={2022}
}

@inproceedings{xiao2022casaneurips,
  title={CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration},
  author={Xiao, Changnan and Shi, Haosen and Fan, Jiajun and Deng, Shihong and Yin, Haiyan},
  booktitle={Deep Reinforcement Learning Workshop, NeurIPS 2022},
  year={2022}
}

@inproceedings{fan2022gdiworkshop,
  title={GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning},
  author={Fan, Jiajun and Xiao, Changnan and Huang, Yue},
  booktitle={AAAI-22 Workshop on Reinforcement Learning in Games},
  year={2022}
}

@article{xiao2021casa,
  title={CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation},
  author={Xiao, Changnan and Shi, Haosen and Fan, Jiajun and Deng, Shihong},
  journal={arXiv preprint arXiv:2105.03923},
  year={2021}
}

@article{xiao2021entropy,
  title={An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning},
  author={Xiao, Changnan and Shi, Haosen and Fan, Jiajun and Deng, Shihong},
  journal={arXiv preprint arXiv:2106.00707},
  year={2021}
}

@inproceedings{fan2022atarireview,
  title={A Review for Deep Reinforcement Learning in Atari: Benchmarks, Challenges, and Solutions},
  author={Fan, Jiajun},
  booktitle={AAAI-22 Workshop on Reinforcement Learning in Games},
  year={2022}
}

@article{fan2020criticpi2,
  title={Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning},
  author={Fan, Jiajun and Ba, He and Guo, Xian and Hao, Jianye},
  journal={arXiv preprint arXiv:2011.06752},
  year={2020}
}