About
Hi! My name is Xiaowei Qian (钱骁威). I am an incoming PhD student at the City University of Hong Kong, supervised by Prof. Xiangyu Zhao.
Previously, I received my B.Eng. degree from the University of Electronic Science and Technology of China (UESTC) and was subsequently a visiting student at Westlake University, supervised by Prof. Tailin Wu. Here is my CV.
🔍 Research
My research interest currently focuses on:
- Large Language Models, Multi-Agent Systems
- Trustworthy AI: Safety, Fairness, Robustness
📝 Publications
* Equal Contribution
From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control
Peiyan Hu*, Xiaowei Qian*, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu
International Conference on Machine Learning (ICML), 2025
TL;DR: Introduce the uncertainty quantile as model uncertainty quantification to achieve optimal control under safety constraints through both post-training and inference phases.
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
Xiaowei Qian*, Zhimeng Guo*, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma
Conference on Knowledge Discovery and Data Mining (KDD), 2024
TL;DR: We proposed synthetic and semi-synthetic datasets with customizable bias and constructed two more meaningful real-world datasets from Twitter to address shortcomings in existing fair graph datasets.
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering
Xiaowei Qian*, Bingheng Li*, Zhao Kang
Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
TL;DR: Aimed to alleviate representation collapse in unsupervised learning, we designed a filter that upper bounding Barlow Twins to facilitate the optimization of the loss function.
📖 Educations
- 2020.09 - 2024.06, B. Eng. Degree in Computer Science, University of Electronic Science and Technology of China (UESTC).
💻 Experiences
- 2024.07 - 2025.07, Visiting Student, AI for Scientific Simulation and Discovery Lab at Westlake University, working on Safe Generative Models, supervised by Prof. Tailin Wu.
- 2023.09 - 2024.02, Research Intern, Data Analytics and Machine Intelligence Lab at RPI, working on Trustworthy ML, supervised by Prof. Yao Ma.
- 2022.09 - 2023.09, Research Intern, Cognitive Computing and Intelligent Decision Lab at UESTC, working on Graph Representation Learning, supervised by Prof. Zhao Kang.
