Scholar
Haohao Qu (屈颢颢)
Google Scholar ID: XRAXqJgAAAAJ
P.h.D. Student, Department of Computing, The Hong Kong Polytechnic University
Citations & Impact
Citations
433
H-index
13
i10-index
14
Publications
20
Co-authors
15
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- UrbanEV: An open benchmark dataset for urban electric vehicle charging demand prediction. Published in Nature Scientific Data.
- How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. Published in ICLR 2025.
- ChatEV: Predicting electric vehicle charging demand as natural language processing. Published in Transportation Research Part-D.
- Unravelling the effect of electricity price on electric vehicle charging behavior: A case study in Shenzhen, China. Published in Sustainable Cities and Society.
- SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation. Preprint arXiv.
- A Survey of Mamba. Preprint arXiv.
- TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation. Preprint arXiv.
- FMGCN: Federated Meta Learning-augmented Graph Convolutional Network for EV Charging Demand Forecasting. Published in IEEE Internet of Things Journal.
- A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction. Preprint arXiv, to be published in IEEE TITS.
- Reinforcement Learning Based Incentive Mechanism for Federated Meta Learning: A Game-Theoretic Perspective. Published in ICTAI 2022.
- AFMeta: Asynchronous Federated Meta-learning with Temporally Weighted Aggregation. Published in UIC 2022.
- TWAFR-GRU: An Integrated Model for Real-time Charging Station Occupancy Prediction. Published in UIC 2022.
- An Integrated Approach for the Near Real-Time Parking Occupancy Prediction. Published in IEEE Transactions on Intelligent Transportation Systems.
- Adaptation and Learning to Learn (ALL): An Integrated Approach for Small-Sample Parking Occupancy Prediction. Published in Mathematics.
- Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn. Published in 15th International Conference on Knowledge.
Research Experience
- Conducting research at the Department of Computing, The Hong Kong Polytechnic University, involved in multiple research projects related to electric vehicle charging demand prediction, graph pattern understanding, etc.
Education
- Pursuing a Ph.D. in the Department of Computing, The Hong Kong Polytechnic University, under the supervision of Dr. Wenqi Fan (Chief) and Prof. Qing Li (Co).
Background
- Research interests include Large Language Models, Graph Neural Networks, Recommender Systems, and Intelligent Transportation Systems. Currently a Ph.D. student at the Department of Computing, The Hong Kong Polytechnic University.
Miscellany
- Personal interests not mentioned
