Qianru Zhang |
I am a forth-year Ph.D student at the University of Hong Kong (HKU), majoring in Computer Science, supervised by Professor Yiu Siu-Ming. My research focuses on optimizing graph-based models, including GCNs, contrastive learning, transformers, diffusion models, reinforcement learning, and LLMs. By exploring underlying principles and mathematical frameworks, I develop innovative algorithms that effectively leverage the structural properties of graph/image data. This approach enhances accuracy, scalability, and interpretability. For example, I advance our understanding of graph algorithms in spatial-temporal graphs, recommendation systems, and bioinformatics.
Graph Data Mining
Spatial-Temporal Graphs (AI for Urban Science)
AI for Physical Science
AI for Biology Science
Recently, I am interested in Large Language Models (LLMs) / Diffusion Models / Mamba for Urban / Biology / Physical Science. If you would like to work with me, please kindly contact me.
I am looking for Postdoc positions. If you have suitable positions, please don't hesitate to contact me.
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security.
Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, Hongzhi Yin.
[Paper]
A Survey of Generative Techniques for Spatial-Temporal Data Mining.
Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian and Christian S. Jensen.
[Paper]
Billiards Sports Analytics: Datasets and Tasks.
Qianru Zhang, Zheng Wang, Cheng Long, and Siu-Ming Yiu.
TKDD 2024. [Paper]
Graph Augmentation for Recommendation.
Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, and Christian S. Jensen.
ICDE 2024. [Paper] [Code]
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation.
Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu-Ming Yiu, and Ruihua Han.
ICML 2023. [Paper] [Code]
Online Anomalous Subtrajectory Detection with Road Network Enhanced Reinforcement Learning.
Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, and Jieming Shi.
ICDE 2023. [Paper] [Code]
Automated Spatio-Temporal Graph Contrastive Learning.
Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, and Siu-Ming Yiu
WWW 2023 ( Accepted at the highest rank (2.75/3.0)). [Paper] [Code]
On Predicting and Generating a Good Break Shot in Billiards Sports.
Qianru Zhang, Zheng Wang, Cheng Long, and Siu-Ming Yiu.
SDM 2022. [Paper]
Improving Factual Error Correction by Learning to Inject Factual Errors.
Xingwei He, Qianru Zhang, Along Jin, Jun Ma, Yuan Yuan, and Siu-Ming Yiu.
AAAI 2024.
Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning.
Zheng Wang, Cheng Long, Gao Cong, and Qianru Zhang.
SIGKDD 2021.
Accelerated Collision-Free Robot Motion Planner with Dual Proximal Methods.
Ruihua Han, Shuai Wang, Shuaijun Wang, Zeqing Zhang, Qianru Zhang, Hao Qi, and Jia Pan.
IEEE RA-L 2023.
Building Auto-Encoder Intrusion Detection System based on Random Forest Feature Selection.
Xukui Li, Wei Chen, Qianru Zhang, and Lifa Wu.
Computers and Security 2020 (Highly cited paper).