Ph.D. Student

CS department, University of Wisconsin-Madison (UW-Madison)

xdu66 (at) wisc.edu, xuefengdu1 (at) gmail.com

Google Scholar | LinkedIn Twitter Github [CV]

Hi! I am a CS Ph.D. student at UW-Madison advised by Prof. Sharon Yixuan Li. Previously, I was an undergraduate student at Xi'an Jiaotong University (XJTU). I was a research assistant supervised by Prof. Dexing Zhong and Prof. Pinghui Wang. I am looking for research internship opportunities in Machine Learning and Computer Vision.

Artificial intelligence:

• Algorithms: Out-of-distribution, e.g., semantic shifts, adversarial and noisy samples.
• LLM: Safety issues.
• Applications: Graph embedding, object detection and segmentation.
• Bioinformatics: Biometrics, single particle analysis based on Cryo-Microscopy images and more.

• Student Researcher. 2022.05 - 2022.09
  Google Inc.
  Manager: Zizhao Zhang, Ting Chen, Han Zhang
• Research Intern. 2021.03 - 2021.07
  Tencent AI Lab
  Manager: Yu Rong, Junzhou Huang
• Research Assistant. 2020.10 - 2021.02
  Hong Kong Baptist University
  Manager: Bo Han
• Research Engineer Intern. 2020.08 - 2020.09
  Bytedance AI Lab
  Manager: Changhu Wang
• Research Intern. 2019.11 - 2020.07
  AI Theory Group, Noah’s Ark Lab
  Manager: Hang Xu, Chenhan Jiang
• Student Intern. 2018.07 - 2020.01
  Carneige Mellon University
  Manager: Min Xu, Haohan Wang

• Ph.D. in CS. 2020 - 2025 (Expected)
  University of Wisconsin–Madison (UW-Madison), Madison, WI, USA
• B.Eng. in electronic engineering 2016 - 2020
  Xi'an Jiaotong university (XJTU), Xi'an, China

1. How Does Wild Data Provably Help OOD Detection?
   *Xuefeng Du*, *Zhen Fang*, Ilias Diakonikolas, Yixuan Li.
   ICLR 2024 (Poster)
   [PDF] [Code]
2. Dream the Impossible: Outlier Imagination with Diffusion Models
   Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li.
   NeurIPS 2023
   [PDF][Code]
3. VOS: Learning What You Don’t Know by Virtual Outliers Synthesis.
   Xuefeng Du, Eric Wang, Mu Cai, Yixuan Li.
   ICLR 2022 (Poster)
   [PDF] [Code]
4. Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search.
   Pengtao Xie, Xuefeng Du.
   CVPR 2022 (Poster)
   [PDF][Code]
5. Learning Diverse-Structured Networks for Adversarial Robustness.
   Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama.
   ICML 2021 (Poster)
   [PDF][Code]
6. Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding.
   Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan.
   NeurIPS 2020 (Poster)
   [PDF] [Code]