Hao Fang   3-year Ph.D. candidate Room 1622, Information Building Tsinghua Shenzhen International Graduate School Shenzhen, Guangdong Province, China, 518055 Email: ffhibnese@gmail.com; fangh25@mails.tsinghua.edu.cn Github: FFHow [Google Scholar][ORCID]

Biography

I am a third-year Ph.D. student in the ITML lab in the SIGS, Tsinghua University, where I am fortunate to be supervised by Prof. Shu-Tao Xia. I also work closely with Prof. Bin-Chen. I received my B.S. degree in Computer Science and Technology from Harbin Institute of Technology, Shenzhen, in 2023. I enjoy playing basketball and doing some workouts in my spare time!

My research interests primarily include Trustworthy AI and Generative Models, with a particular focus on the reliability and robustness of Large Reasoning Models and Multi-Agent Systems.

Publications

(* Equal contribution; ^# Corresponding author)

2025

• Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs
  Hao Fang, Changle Zhou, Jiawei Kong, Kuofeng Gao, Bin Chen^#, Tao Liang, Guojun Ma^#, and Shu-Tao Xia
  Annual Conference on Neural Information Processing Systems (NeuIPS), 2025
  
• Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors
  Hao Fang, Jiawei Kong, Tianqu Zhuang, Yixiang Qiu, Kuofeng Gao, Bin Chen^#, Shu-Tao Xia, Yaowei Wang, and Min Zhang
  The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
  
• One perturbation is enough: On generating universal adversarial perturbations against vision-language pre-training models
  Hao Fang, Jiawei Kong, Bin Chen^#, Jiawei Li, Hao Wu, Shu-Tao Xia, and Ke Xu
  IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  
• Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation
  Xinhao Zhong*,Hao Fang*, Bin Chen^#, Xulin Gu, Meikang Qiu, Shuhan Qi, and Shu-Tao Xia
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  
• GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search
  Wenbo Yu*, Hao Fang*, Bin Chen ^#, Xiaohang Sui, Chuan Chen, Hao Wu, Shu-Tao Xia, and Ke Xu
  IEEE Transactions on Information Forensics and Security (TIFS)
  
• Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks
  Tianqu Zhuang*, Hongyao Yu*, Yixiang Qiu*, Hao Fang*, Bin Chen^#, and Shu-Tao Xia
  International Conference on Learning Representations (ICLR), 2025
  
• Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
  Xinhao Zhong, Bin Chen^#, Hao Fang, Xulin Gu, Shu-Tao Xia, and En-Hui Yang
  International Conference on Learning Representations (ICLR), 2025
  
• ICAS: Detecting Training Data from Autoregressive Image Generative Models
  Hongyao Yu, Yixiang Qiu, Yiheng Yang, Hao Fang, Tianqu Zhuang, Jiaxin Hong, Bin Chen^#, Hao Wu, and Shu-Tao Xia
  ACM Multimedia (ACM MM), 2025
  

2024

• CLIP-Guided Networks for Transferable Targeted Attacks
  Hao Fang, Jiawei Kong, Bin Chen^#, Tao Dai, Hao Wu, and Shu-Tao Xia,
  European Conference on Computer Vision (ECCV), 2024
  
• A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks (Oral)
  Yixiang Qiu*, Hao Fang*, Hongyao Yu*, Bin Chen^#, Meikang Qiu, and Shu-Tao Xia
  European Conference on Computer Vision (ECCV), 2024
  

2023

• GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization
  Hao Fang, Bin Chen^#, Xuan Wang, Zhi Wang, and Shu-Tao Xia
  IEEE/CVF International Conference on Computer Vision (ICCV), 2023
  

Services

I was a reviewer / PC member of conferences：

• IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025
• ACM Multimedia (MM) 2025
• Neural Information Processing Systems (NeurIPS) 2025
• International Conference on Learning Representations (ICLR) 2025-2026
• International Joint Conferences on Artificial Intelligence (IJCAI) 2024

I was a reviewer of journals:

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE Transactions on Information Forensics and Security (TIFS)
• IEEE Transactions on Mobile Computing (TMC)
• IEEE Transactions on Medical Imaging (TMI)

Honors & Awards

• NeurIPS 2025 "Reviewer : Top Reviewer", 2025.10
• Chinese National Scholarship for Postgraduate Students, Tsinghua University, 2025.10
• First class scholarship, Tsinghua University, 2024.10
• First class scholarship × 3, Harbin Institute of Technology, Shenzhen
• Fang Binxing Academician Scholarship, Harbin Institute of Technology, Shenzhen, 2023.03
• Chinese National Scholarship for Undergraduate Students (Top 1.5%), Harbin Institute of Technology, Shenzhen, 2022.12
• Excellent Student Model (Top 0.3%), 2022.09

2025 Hao Fang