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

• PhD: Recommender Systems (RecSys), Large Language Models (LLMs), Agent Reasoning
• MPhil: Graph Neural Networks (GNNs), Intelligent Transportation Systems (ITS)

Recent Publications

• 2026 - CastorTS: Causality-Guided Siamese Pretraining Model for Efficient Time Series Forecasting. Rui An, Haohao Qu, Wenqi Fan, Xuequn Shang, Qing Li. ICDE 2027. (Just Accept)
• 2026 - HD-Prot: A Protein Language Model for Joint Sequence-Structure Modeling with Continuous Structure Tokens. Yi Zhou, Haohao Qu, Yunqing LIU, Shanru Lin, Le Song, Wenqi Fan. KDD 2026.
• 2026 - Atomic Intent Reasoning: Bringing LLM Semantics to Industrial Cross-Domain Recommendations. Zhuohang Jiang, Yuxin Chen, Shijie Wang, Haohao Qu, Zhou Jindong, Wenqi Fan, Li Qing, Dongxu Liang, Jun Wang. KDD 2026.
• 2026 - SuperGlasses: Benchmarking Vision Language Models as Intelligent Agents for AI Smart Glasses. Zhuohang Jiang, Xu Yuan, Haohao Qu, Shanru Lin, Kanglong Liu, Wenqi Fan, Li Qing. CVPR 2026 Findings.
• 2026 - Diffusion Generative Recommendation with Continuous Tokens. Haohao Qu, Shanru Lin, Yujuan Ding, Yiqi Wang, Wenqi Fan. The 2026 ACM Web Conference.
• 2025 - SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation. Haohao Qu, Yifeng Zhang, Liangbo Ning, Wenqi Fan, Qing Li. ACM Trans. Inf. Syst. 44, 2, Article 29.
• 2025 - TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation. Haohao Qu, Wenqi Fan, Zihuai Zhao, Qing Li. IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 10, pp. 6216-6231.
• 2025 - A survey of webagents: Towards next-generation ai agents for web automation with large foundation models. Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiao-yong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li. KDD 2025 Tutorial.
• 2025 - 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).
• 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.
• 2024 - 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.
• 2024 - 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.
• A Survey of Mamba. Haohao Qu, Liangbo Ning, An Rui, Wenqi Fan, Tyler Derr, Hui Liu, Xin Xu, Qing Li. Preprint arXiv.
• 2024 - 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).
• 2024 - 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. <!–
• 2022 - 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).
• 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).
• 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).
• 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.
• 2022 - 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.
• 2022 - 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

•    Visiting student in Computer Science | 2026.02 - 2026.08
      College of Computing and Data Science, Nanyang Technological University (NTU)
     Advisor: Prof. Dacheng Tao and Prof. Yongcheng Jing

•    Ph.D student in Computing | 2023.01 - Now
     Department of Computing (COMP), The Hong Kong Polytechnic University (PolyU)
     Advisor: Assistant Prof. 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

• Internship | 2026.09 - Now | China
  Foundation Research Center, Marketing Recommendation, Corporate Development Group, Tencent
  Advisor: Junwei Pan and Yankuan Liang

• 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