Pei Peng

pengpei@nuaa.edu.cn

prof_pic.jpg

Room 909, Building 1

No. 29 Jiangjun Road

Jiangning District

Nanjing 211106, China

About Me

I am Peng Pei, a Ph.D. student at the College of Computer Science and Technology , Nanjing University of Aeronautics and Astronautics (NUAA) , supervised by Prof. Sheng-Jun Huang in the Weakly Supervised Learning Laboratory.

Before starting my Ph.D. in April 2024, I received my B.S. degree in Computer Science from NUAA in 2020 and my M.S. degree in 2023. After completing my master’s studies, I spent a short research period in the Weakly Supervised Learning Laboratory during my gap stage before entering the Ph.D. program.

Research Interest

My research focuses on model reliability and interpretability in complex and open environments. Currently, I am particularly interested in combining causal inference with large vision–language models to address issues such as hallucinations and shortcut dependencies under distribution shifts. In addition, I also work on class imbalance, multi-label learning, and scene graph generation.

I am open to research collaborations, and welcome anyone interested to contact me via email.

news

Sep 19, 2025 Our first-author paper has been accepted by NeurIPS’2025 conference .
May 01, 2024 Our collaborative paper was accepted by ICML’2024 (CCF-A) conference .
Nov 26, 2022 Our first-author paper has been accepted by NEURAL COMPUT APPL (CCF-C,Q2) journal.

selected publications

  1. neurips25.png
    Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition
    Pei Peng, Ming-Kun Xie, Hang Hao, and 2 more authors
    In Thirty-Ninth Conference on Neural Information Processing Systems, NeurIPS 2025, San Diego, California, November 30–December 7, 2025, 2025
  2. icml24.png
    Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
    Ming-Kun Xie, Jiahao Xiao, Pei Peng, and 3 more authors
    In Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024
  3. nca23.png
    Robust semi-supervised discriminant embedding method with soft label in kernel space
    Pei Peng and Yong-Ping Zhao
    Neural Comput. Appl., 2023