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Kanghao Chen

Ph.D. Student
The Hong Kong University of Science and Technology

Guangzhou, China

 kchen879@connect.hkust-gz.edu.cn


About Me

I am a third-year Ph.D. student at the AI Thrust (Information Hub) of HKUST (Guangzhou), jointly supervised by Prof. Yingcong Chen and Prof. Zeyu Wang. I previously earned my M.Eng. in Computer Technology from Sun Yat-sen University, working with Prof. Ruixuan Wang and Prof. Wei-Shi Zheng, and completed my B.Eng. in Computer Science and Technology at Jinan University.

Currently, I focus on:

Selected Publications

  1. TPAMI
    EvLight++: Low-Light Video Enhancement with an Event Camera: A Large-Scale Real-World Dataset, Novel Method, and More
    Kanghao Chen*, Guoqiang Liang*, Yunfan Lu*, Hangyu Li, Lin Wang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

  2. RAL
    ExFMan: Rendering 3D Dynamic Humans with Hybrid Monocular Blurry Frames and Events
    Kanghao Chen, Zeyu Wang, Lin Wang
    IEEE Robotics and Automation Letters (RAL), 2025.

  3. NeurIPS
    EVDiffuser: Event-Guided Consistent Video Reconstruction with Modality-Agnostic Diffusion Framework
    Kanghao Chen*, Zixin Zhang*, Guoqiang Liang, Lutao Jiang, Zeyu Wang, Ying-Cong Chen
    The Conference on Neural Information Processing Systems (NeurIPS), 2025.

  4. Preprint
    PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs
    Zixin Zhang*, Kanghao Chen*, Xingwang Lin, Lutao Jiang, Xu Zheng, Yuanhuiyi Lyu, Litao Guo, Yinchuan Li, Ying-Cong Chen
    Preprint, 2025.

  5. NeurIPS
    LaSe-E2V: Towards Language-guided Semantic-Aware Event-to-Video Reconstruction
    Kanghao Chen, Hangyu Li, JiaZhou Zhou, Zeyu Wang, Lin Wang
    The Conference on Neural Information Processing Systems (NeurIPS), 2024.

  6. CVPR
    Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach
    Guoqiang Liang, Kanghao Chen, Hanghyu Li, Yunfan Lu, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral), 2024.

  7. JBHI
    PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification
    Kanghao Chen*, Weixian Lei*, Rong Zhang, Ruixuan Wang and Wei-Shi Zheng
    IEEE Journal of Biomedical and Health Informatics (JBHI), 2023.

  8. ICME
    Improving Class Balancing at both feature extractor and classifier head
    Kanghao Chen*, Huijuan Lu*, Ruixuan Wang, and Wei-Shi Zheng
    IEEE International Conference on Multimedia and Expo (ICME), 2022.

  9. MICCAI
    Alleviating Data Imbalance Issue with Perturbed Input During Inference
    Kanghao Chen*, Yifan Mao*, Huijuan Lu, Chenghua Zeng, Ruixuan Wang, and Wei-Shi Zheng
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.

Research Experiences

July. 2025 - Oct. 2025

Algorithm Intern, Knowin (Early Startup)

  • Developing VLM post-training for the Embodied Brain (KnowinBrain).
  • Building foundational infrastructure for data processing, model training, and evaluation.
July. 2022 - May. 2023

Algorithm Researcher, SenseTime

  • Working on 3D pose estimation and face reconstruction.
July. 2021 - Sep. 2021

Research Intern, NetEase Games

  • Explored the 3D pose estimation and learning-based character animation methods.

Education Experience

Awards

Professional Services