HAO, WU

Email: wh.pyjnqd@gmail.com

Bio: I obtained master's degree from University of Electronic Science and Technology of China in 2024 and bachelor's degree from Shandong University in 2021. I have conducted research in few-shot learning, medical image analysis, multi-modal foundation model and large model evaluation.

Education

Experience

Publications

  1. Xu Luo*, Hao Wu*, Ji Zhang, et al. A Closer Look at Few-shot Classification Again. ICML 2023. (co-first)
  2. Runzhen Xue*, Hao Wu*, Mingyu Yan, et al. MetaDSE: A Few-Shot Meta-Learning Framework. DAC 2025. (co-first)
  3. Zijin Hong*, Hao Wu*, Su Dong, et al. Benchmarking Large Language Models via Random Variables. (co-first)

    (Submitted to ACL'25, Under Review)

  4. Hao Wu, Danyang Feng and Huihui Fang. Glaucoma Detection on 3D-OCT with View Transform. The 10th Ophthalmic Medical Image Analysis Workshop, MICCAI 2023.
  5. Junjie Yang, Hao Wu, Xu Luo, et al. Effective and Efficient Few-Shot Fine-Tuning for Vision Transformers. IEEE Conference on Multimedia Expo, ICME 2024.
  6. Xihui Wu, Hao Wu, Shizhe Hu. Event-Driven Sliding Mode Control for Multi-Agent Systems with Actuator Faults. IEEE International Computer Conference on Wavelet Active Media Technology and Information Processing, 2024.
  7. Runzhen Xue, Hao Wu, Mingyu Yan, et al. Multi-objective Optimization in CPU Design Space Exploration: Attention is All You Need.

    (Submitted to IEEE TCAD, Under Review)

Engineering Projects

Scholarships & Honors

Misc