About Me

Welcome to my personal page! I am currently a Ph.D. student in the Department of Computing (COMP), The Hong Kong Polytechnic University (PolyU), under the supervision of Dr. Wenqi Fan (chief) and Prof. Qing Li (co).

Research Interest

Large Language Models (LLMs), Graph Neural Networks (GNNs), Recommender Systems (RecSys), Intelligent Transportation Systems (ITS)

Selected Publications

• UrbanEV: An open benchmark dataset for urban electric vehicle charging demand prediction Han Li, Haohao Qu, Xiaojun Tan, Linlin You, Rui Zhu, Wenqi Fan. Nature Scientific Data 12, 523 (2025).
• How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan. ICLR 2025.
• ChatEV: Predicting electric vehicle charging demand as natural language processing Haohao Qu, Han Li, Linlin You, Rui Zhu, Jinyue Yan, Paolo Santi, Carlo Ratti, Chau Yuen. Transportation Research Part-D.
• Unravelling the effect of electricity price on electric vehicle charging behavior: A case study in Shenzhen, China. Kuang, Haoxuan, Xinyu Zhang, Haohao Qu, Linlin You, Rui Zhu, and Jun Li. Sustainable Cities and Society (2024): 105836.
• SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation. Haohao Qu, Yifeng Zhang, Liangbo Ning, Wenqi Fan, Qing Li. Preprint arXiv.
• A Survey of Mamba. Haohao Qu, Liangbo Ning, An Rui, Wenqi Fan, Tyler Derr, Hui Liu, Xin Xu, Qing Li. Preprint arXiv.
• TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation. Haohao Qu, Wenqi Fan, Zihuai Zhao, Qing Li. Preprint arXiv.
• FMGCN: Federated Meta Learning-augmented Graph Convolutional Network for EV Charging Demand Forecasting. Linlin You, Qiyang Chen, Haohao Qu, Rui Zhu, Jinyue Yan, Paolo Santi, Carlo Ratti. IEEE Internet of Things Journal (2024), doi: 10.1109/JIOT.2024.3369655.
• A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction. Haohao Qu, Haoxuan Kuang, Jun Li, Linlin You. Preprint arXiv:2309.05259; *IEEE TITS, doi: 10.1109/TITS.2024.3401850.
• Reinforcement Learning Based Incentive Mechanism for Federated Meta Learning: A Game-Theoretic Perspective. Shenglv Zhang, Yuren Zhou, Haohao Qu, Yiting Zhu, Linlin You. *Proceedings of the IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI 2022).
• AFMeta: Asynchronous Federated Meta-learning with Temporally Weighted Aggregation. Sheng Liu, Haohao Qu, Qiyang Chen, Weitao Jian, Rui Liu, Linlin You. *Proceedings of the 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (UIC 2022).
• TWAFR-GRU: An Integrated Model for Real-time Charging Station Occupancy Prediction. Qiyang Chen, Sheng Liu, Haohao Qu, Rui Zhu, Linlin You. *Proceedings of the 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (UIC 2022).
• An Integrated Approach for the Near Real-Time Parking Occupancy Prediction. Jun Li, Haohao Qu, Linlin You. *IEEE Transactions on Intelligent Transportation Systems, 24(4), 3769-3778.
• Adaptation and Learning to Learn (ALL): An Integrated Approach for Small-Sample Parking Occupancy Prediction. Haohao Qu, Sheng Liu, Jun Li, Yuren Zhou, Rui Liu. *Mathematics 10.12 (2022): 2039.
• Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn. Haohao Qu, Sheng Liu, Zihan Guo, Linlin You, Jun Li. *Proceedings of the 15th International Conference on Knowledge Science, Engineering and Management (KSEM 2022).

Education

•    Ph.D student in Computing | 2023.01 - Now
     Department of Computing (COMP), The Hong Kong Polytechnic University (PolyU)
     Advisor: Dr. Wenqi Fan and Prof. Qing Li

•    M.Eng. in Transportation Planning and Management | 2019.09 - 2022.06
     School of Intelligent Systems Engineering (ISE), Sun Yat-sen University (SYSU, 中山大学)
     Advisor: Associate Prof. Jun Li and Associate Prof. Linlin You

•    B.Eng. in Transportation Engineering | 2015.09 - 2019.06
     School of Intelligent Systems Engineering (ISE), Sun Yat-sen University (SYSU, 中山大学)
     Advisor: Associate Prof. Jun Li and Associate Prof. Linlin You

Working Experience

• Research Assistant | 2022.08 - 2023.08 | China
  School of Intelligent Systems Engineering (ISE), Sun Yat-sen University (SYSU, 中山大学)
  Advisor: Prof. Xiaojun Tan and Associate Prof. Jun Li