Runpeng Yu

photo 

Runpeng Yu 于润芃
Ph.D. Student @
xML Lab,
Institute of Data Science,
National University of Singapore.
[ Scholar ] [ GitHub ]

Contact

Email: r.yu [at] u (dot) nus (dot) edu
Address: 4 ENGINEERING DRIVE 3, 117583, Singapore

Actively Seeking Intern and Visiting Opportunities

I am expected to graduate in the summer of 2026 (approximately one year from now) and am actively seeking internship opportunities, visiting programs, and full-time positions after graduation.

Research Interests

My Research interests lie in the following topics:
  • Large Language Model. Large Language Model (LLM) reasoning; Chain-of-Thought (CoT).

  • Multimodal Large Language Model. Multimodal Chain-of-Thought; perception process of Multimodal Large Language Model (MLLM).

  • Machine Learning. Lineage relationships among pretrained models; pretrained model reuse.

Publications

  • Introducing Visual Perception Token into Multimodal Large Language Model [Paper]
    Runpeng Yu , Xinyin Ma and Xinchao Wang.
    Preprint (2025).

  • CoT-Valve: Length-Compressible Chain-of-Thought Tuning [Paper]
    Xinyin Ma, Guangnian Wan, Runpeng Yu , Gongfan Fang, and Xinchao Wang
    Preprint (2025).

  • Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks [Paper]
    Runpeng Yu and Xinchao Wang.
    Accepted by ICLR (2025).

  • Attention Prompting on Image for Large Vision-Language Models [Paper]
    Runpeng Yu , Weihao Yu and Xinchao Wang.
    Accepted by ECCV (2024).

  • Neural Lineage [Paper]
    Runpeng Yu ,and Xinchao Wang.
    Accepted as CVPR (2024) Oral.

  • Generator Born from Classifier [Paper]
    Runpeng Yu ,and Xinchao Wang.
    Accepted by NeurIPS (2023).

  • Distribution Shift Inversion for Out-of-Distribution Prediction [Paper]
    Runpeng Yu , Songhua Liu, Xingyi Yang, and Xinchao Wang.
    Accepted by CVPR (2023).

  • Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms [Paper]
    Runpeng Yu , Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang and Xiuqiang He.
    Accepted by AAAI (2022).

  • A Spectral Perspective On Graph Data Augmentation For Graph Classification [Paper]
    Yutong Xia*, Runpeng Yu* , Yuxuan Liang, Xavier Bresson, Xinchao Wang and Roger Zimmermannand
    Accepted by AAAI (2025).

Education

Teaching Experience

  • Fall 2024, Spring 2024, Fall 2023, Spring 2023. TA for EE2211 Introduction to Machine Learning at NUS, given by Prof. Xinchao Wang .

  • Fall 2021, Spring 2021, Fall 2020. TA for Random Process at TBSI, given by Prof. Ercan Engin Kuruoğlu .