Ling Yang

Ling Yang

Ph.D. student in Peking University

Biography

I am a Ph.D. student at Peking University, supervised by Prof. Bin Cui and Prof. Luxia Zhang. I am fortunately working with Prof. Mengdi Wang in Princeton University. I have also been fortunate to work with Yang Song, Guohao Li, Shuicheng Yan, Ming-Hsuan Yang, Bernard Ghanem, Stefano Ermon, and Jure Leskovec. Feel free to contact me for potential collaborations or discussions. Email | WeChat | Github | Google Scholar

We have opening positions for PhDs, Masters and Research Interns (not limited to PKU and Princeton University, work online). Also, I am in charge of a reasearch team and have led a series of works on Diffusion Models and LLMs, including RPG-DiffusionMasterGitHub stars, Diffusion-SurveyGitHub stars, Buffer of ThoughtsGitHub stars, SupperCorrectGitHub stars, ReasonFluxGitHub stars, VideoTetrisGitHub stars, Consistency Flow MatchingGitHub stars, IterCompGitHub stars. Interested persons please contact me directly!

Research Summary

My goal is to build powerful generative models capable of understanding, generating and reasoning with high-dimensional data across diverse modalities. I currently focus on developing advanced generative models, including their training methodologies, architecture design, alignment, inference efficiency and applications.

Generative Model Foundations

Generative Applications

What's New

  • I am invited as an Area Chair at NeurIPS 2025.
  • I release ReasonFluxGitHub stars, beating OpenAI o1-preview and DeepSeek-V3 with hierarchical reinforcement learning on 8GPUs.
  • 6 papers about LLMs and Diffusion Models are accepted by ICLR 2025.
  • I propose SupperCorrectGitHub stars, achieving new SOTA LLM reasoning performance among all 7B models.
  • I propose IterCompGitHub stars, leveraging iterative RLHF to achieve fast and realistic T2I generation.
  • 5 papers about Diffusion Models and LLMs are accepted by NeurIPS 2024.
  • I propose Consistency Flow MatchingGitHub stars, converging 4.4x faster than Consistency Model and 1.7x faster than Rectified Flow while achieving better FID.
  • I propose a new RAG-based LLM reasoning framework, Buffer of ThoughtsGitHub stars (NeurIPS 2024 Spotlight).
  • I release the project VideoTetrisGitHub stars of first compositional text-to-video generation.
  • 2 papers about Diffusion Models and AI for Science are accepted by ICML 2024.
  • One paper about general/molecular graph diffusion is accepted by TKDE 2024.
  • One paper about improved training algorithm of Diffusion Transformers (DiT), DDPMs and Score SDEs is accepted by CVPR 2024.
  • Release our SOTA LLM-controlled diffusion model, RPG-DiffusionMasterGitHub stars.
  • 3 papers about Diffusion Models, GNN, AI for Science are accepted by ICLR 2024.

Selected Papers [Full List]

  • 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
    NeurIPS 2024 spotlight paper | repo | tweet

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  • ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
    Ling Yang, Zhaochen Yu, Bin Cui, Mengdi Wang
    paper | repo | tweet

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  • Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs.
    Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui
    ICML 2024 paper | repo | tweet

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  • IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
    Xinchen Zhang*, Ling Yang*, Guohao Li, Yaqi Cai, Jiake Xie, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui
    paper | repo | tweet

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  • Consistency Flow Matching: Defining Straight Flows with Velocity Consistency
    Ling Yang, Zixiang Zhang, Zhilong Zhang, Xingchao Liu, Minkai Xu, Wentao Zhang, Chenlin Meng, Stefano Ermon, Bin Cui
    paper | repo | tweet alt text
  • VideoTetris: Towards Compositional Text-to-Video Generation
    Ye Tian*, Ling Yang*, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di Zhang, Bin Cui
    NeurIPS 2024 paper | repo | tweet

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  • Dpgn: Distribution propagation graph network for few-shot learning
    Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu
    CVPR 2020 paper | repo

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Advising Experience

Zhaochen Yu (Master student at National University of Singapore)

Xinchen Zhang (Master student at Tsinghua University)

Ye Tian (incoming Ph.D. student at PKU).

Bohan Zeng (incoming Ph.D. student at PKU).

Zhilin Huang (Ph.D. student at Tsinghua University).

Zhilong Zhang (incoming Ph.D. student at Tsinghua University)

Yinjie Wang (Ph.D. student at The University of Chicago).

Academic Services

  • Area Chair:
    • NeurIPS 2025
  • Program Committee or Reviewer:
    • ICML 2025, ICLR 2025, CVPR 2025, ICCV 2025, AAAI 2025
    • SIGGRAPH 2024, ICML 2024, ICLR 2024, NeurIPS 2024, CVPR 2024, AAAI 2024
    • ICML 2023, ICLR 2023, NeurIPS 2023, CVPR 2023, AAAI 2023
    • ICML 2022, ICLR 2022, NeurIPS 2022
  • Journal Reviewer
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
    • IEEE Transactions on Knowledge and Data Engineering (TKDE)
    • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    • Pattern Recognition (PR)

Awards