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Trafalgar Zhaochen Yu

PhD Student
National University of Singapore
bityzcedu (at) 163.com


Hello šŸ‘‹!

I am Zhaochen Yu, a first year PhD. student at National University of Singapore, under the supervision of Prof. Shuicheng Yan. Iā€™m currently working in LV-Lab, National University of Singapore. And i am also working closely with Dr. Ling Yang.

My research interests are Generative Modeling (Diffusion Models, LLMs) and Agentic Reinforcement Learning and Inference Optimization.

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Selected Publications [Google Scholar]

  1. arxiv
    Slow-Fast Inference: Training-Free Inference Acceleration via Within-Sentence Support Stability
    Xingyu Xie*, Zhaochen Yu* , Yue Liao*, Tao Wang, Kim-Chuan Toh, Shuicheng Yan
    arxiv preprint, 2026.
    arXiv Code GitHub stars

  2. arxiv
    Demystifying Reinforcement Learning in Agentic Reasoning
    Zhaochen Yu* , Ling Yang*, Jiaru Zou, Shuicheng Yan, Mengdi Wang
    arxiv preprint, 2025.
    arXiv Code GitHub stars

  3. arxiv
    ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
    Ling Yang*, Zhaochen Yu* , Bin Cui, Mengdi Wang
    arxiv preprint, 2025.
    arXiv Code GitHub stars

  4. TCSVT
    Spatio-Temporal Energy-Guided Diffusion Model for Zero-Shot Video Synthesis and Editing
    Ling Yang, Yikai Zhao, Zhaochen Yu , Bohan Zeng, Minkai Xu, Shenda Hong, Bin Cui
    IEEE Transactions on Circuits and Systems for Video Technology.
    arXiv

  5. ICLR
    SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights
    Ling Yang*, Zhaochen Yu* , Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez,Bin Cui, Shuicheng Yan
    International Conference on Learning Representations, 2025.
    arXiv Code GitHub stars

  6. NeurIPS
    Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
    Ling Yang*, Zhaochen Yu* , Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E Gonzalez, Bin Cui
    Conference and Workshop on Neural Information Processing Systems, 2024, Spotlight.
    arXiv Code GitHub stars

  7. NeurIPS
    RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
    Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu , Kai-Ni Wang, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui
    Conference and Workshop on Neural Information Processing Systems, 2024.
    arXiv Code GitHub stars

  8. NeurIPS
    VideoTetris: Towards Compositional Text-To-Video Generation
    Ye Tian*, Ling Yang*, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu , Pengfei Wan, Di Zhang, Bin Cui
    Conference and Workshop on Neural Information Processing Systems, 2024.
    arXiv Code GitHub stars

  9. ICML
    Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms
    Ling Yang*, Zhaochen Yu*, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui
    International Conference on Machine Learning, 2024.
    arXiv Code GitHub stars

  10. ICLR
    Cross-modal contextualized diffusion models for text-guided visual generation and editing
    Ling Yang*, Zhilong Zhang*, Zhaochen Yu*, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui
    International Conference on Learning Representations, 2024.
    arXiv Code GitHub stars

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© Trafalgar Yu, 2024