Qiankun Zhang 张乾坤
I am currently an Associate Professor and the Assistant Dean at the School of Cyber Science and Engineering (CSE) at Huazhong University of Science and Technology (HUST). Prior to joining HUST, I obtained my Ph.D. from the University of Hong Kong (HKU) in 2021, under the supervision of Zhiyi Huang, where I was supported by the University Postgraduate Fellowship (UPF), the Y. S. & Christabel Lung Postgraduate Scholarship, and the Lee Shau Kee Postgraduate Scholarship. Before that, I earned my B.E. from the Chu Kochen Honors College at Zhejiang University (ZJU) in 2017, where I was awarded the Dean's Scholarship.
My research has received the Best Paper Award at IEEE TrustCom 2025 and the Outstanding Paper Award at IEEE AI + Congress 2025. I have been selected for the National High-level Talent Program in Cyberspace Affairs, the Hubei Overseas High-level Talent Program, the Wuhan Outstanding Young Talent Program, the Huawei East Lake Young Scholar Program, and the CCF-DiDi GAIA Scholars Program.
Research Interests
- Theoretical Computer Science (TCS): with a particular emphasis on the design and analysis of algorithms with provable theoretical guarantees;
- Trustworthy Machine Learning (TrustworthyML): focusing on the explainability, fairness, and privacy of machine learning methods;
- My Recent Interests – AI for TCS (AI4TCS): exploring the potential of AI-enhanced approaches to advance our understanding and solution of combinatorial optimization problems.
Recent News
▶ "InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information" with Jiaze Li, Aocheng Shen, Bing Liu, Boyu Zhang, Xiaoxuan Fan, and Xianjun Deng;
▶ "BEST: Benchmarking Efficiency in Space and Time for LLM-Generated Code" with Aocheng Shen, Boyu Zhang, Jiaze Li, Ruixuan Ma, Jing Wang, Bin Yuan, Shenghao Liu, and Xianjun Deng;
▶ "FairMerging: Rethinking Model Merging through the Lens of Fairness" with Bing Liu, Xinrui Shan, Boyu Zhang, Bin Yuan, Jing Wang, and Xianjun Deng.
▶ "Unsupervised Subgraph Anomaly Detection based on Pattern Collaboration" with Jiayang Sun, Shenghao Liu, Xianjun Deng, Wei Xiang, Meng Luo, and Dandan Zheng;
▶ "Automated Model Selection for Multivariate Time Series Forecasting" with Xiaoxuan Fan, Jiaqi Sun, Xianjun Deng, Wei Xiang, Shenghao Liu, and Lingzhi Yi.
▶ "APER: An Efficient and Privacy-Preserving Scheme for E-Health Recommendations" received the Best Paper Award at TrustCom 2025;
▶ "TLSA: Transfer Learning Enhanced Link Stealing Attacks on Graph Neural Networks" received the Outstanding Paper Award at IEEE AI + Congress 2025.
▶ "Understanding the unfairness in network quantization" with Bing Liu, Wenjun Miao, Boyu Zhang, Bin Yuan, Jing Wang, Shenghao Liu, and Xianjun Deng;
▶ "DiMa: understanding the hardness of online matching problems via diffusion models" with Boyu Zhang, Aocheng Shen, Bing Liu, Bin Yuan, Jing Wang, Shenghao Liu, and Xianjun Deng.
▶ "AdWords in a panorama" with Zhiyi Huang and Yuhao Zhang;
▶ "Online primal dual meets online matching with stochastic rewards: configuration LP to the rescue" with Zhiyi Huang.