Publications

International Conference on Learning Representations 2026 (ICLR 2026)

SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration

Ye Li, Yuan Meng, Zewen Sun, Kangye Ji, Chen Tang, Jiajun Fan, Xinzhu Ma, Shu-Tao Xia, Zhi Wang, Wenwu Zhu. "SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration." ICLR 2026.

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@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}
}

International Conference on Learning Representations 2026 (ICLR 2026)

Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards Project

Jiajun Fan, Roger Ren, Jingyuan Li, Rahul Pandey, Prashanth G. Shivakumar, Ankur Gandhe, Ge Liu, Yile Gu, Ivan Bulyko. "Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards." ICLR 2026.

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@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}
}

arXiv preprint (Under Review), 2025

Fine-tuning Flow Matching Generative Models with Intermediate Feedback Project

Jiajun Fan, Chaoran Cheng, Shuaike Shen, Xiangxin Zhou, Ge Liu. "Fine-tuning Flow Matching Generative Models with Intermediate Feedback." arXiv:2510.18072, 2025.

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@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}
}

arXiv preprint (Under Review), 2025

ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning

Ziwen Wang, Jiajun Fan, Rui Guo, Thao Nguyen, Heng Ji, Ge Liu. "ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning." arXiv:2506.07459, 2025.

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@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}
}

The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)

Variational Supervised Contrastive Learning

Ziwen Wang, Jiajun Fan, Thao Nguyen, Heng Ji, Ge Liu. "Variational Supervised Contrastive Learning." NeurIPS 2025.

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@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}
}

The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)

Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models Project

Jiajun Fan, Tong Wei, Chaoran Cheng, Yuxin Chen, Ge Liu. "Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models." NeurIPS 2025.

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@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}
}

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026

PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference

Ye Li, Chen Tang, Yuan Meng, Jiajun Fan, Zenghao Chai, Xinzhu Ma, Zhi Wang, Wenwu Zhu. "PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference." TPAMI 2026.

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@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}
}

International Conference on Learning Representations 2025 (ICLR 2025)

Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization Project

Jiajun Fan, Shuaike Shen, Chaoran Cheng, Yuxin Chen, Chumeng Liang, Ge Liu. "Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization." ICLR 2025.

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@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}
}

NeurIPS 2024 Workshop on AI for New Drug Modalities (AI4Mat)

Efficient Design-and-Control Automation with Reinforcement Learning and Adaptive Exploration

Jiajun Fan, et al. "Efficient Design-and-Control Automation with Reinforcement Learning and Adaptive Exploration." NeurIPS 2024 Workshop AI4Mat.

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@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}
}

Conference on Neural Information Processing Systems 2023 (NeurIPS 2023)

Optimal Transport for Treatment Effect Estimation

Hao Wang, Jiajun Fan, Zhichao Chen, Haoran Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang. "Optimal Transport for Treatment Effect Estimation." NeurIPS 2023.

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@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}
}

International Conference on Learning Representations 2023 (ICLR 2023, Oral — Notable Top 5%)

Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection Project

Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia. "Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection." ICLR 2023, oral (ranked 5/4176).

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@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}
}

In the proceedings of International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA

Generalized Data Distribution Iteration Project

Jiajun Fan, Changnan Xiao, "Generalized Data Distribution Iteration." In the proceedings of International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022.

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@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}
}

Arxiv

Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications

Hao Wang, Zhichao Chen, Jiajun Fan, Yuxin Huang, Weiming Liu, Xinggao Liu, "Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications." Arxiv, 2022.

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@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}
}

In the proceedings of Deep Reinforcement Learning Workshop NeurIPS 2022

CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration

Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng, Haiyan Yin, "CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration." In the proceedings of Deep Reinforcement Learning Workshop NeurIPS 2022, 2022.

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@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}
}

In the proceedings of AAAI-22 Workshop on Reinforcement Learning in Games

GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning Project

Jiajun Fan, Changnan Xiao, Yue Huang, "GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning." In the proceedings of AAAI-22 Workshop on Reinforcement Learning in Games, 2022.

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@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}
}

Arxiv

CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation

Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng, "CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation." Arxiv, 2021.

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@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}
}

Arxiv

An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning

Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng, "An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning." Arxiv, 2021.

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@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}
}

In the proceedings of AAAI-22 Workshop on Reinforcement Learning in Games

A Review for Deep Reinforcement Learning in Atari: Benchmarks, Challenges, and Solutions

Jiajun Fan, "A Review for Deep Reinforcement Learning in Atari: Benchmarks, Challenges, and Solutions." In the proceedings of AAAI-22 Workshop on Reinforcement Learning in Games, 2022.

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@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}
}

Arxiv

Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning

Jiajun Fan, He Ba, Xian Guo, Jianye Hao, "Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning." Arxiv, 2020.

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@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}
}