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)

Publications

• 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