Research output

Publications

Peer-reviewed articles, conference papers, and selected scholarly contributions.

Notation: My name is shown in bold. Symbols here for equal contribution (') and corresponding authorship (*).

2026

4 publications
  1. 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 AI4Science Track 2026

  2. 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 Industrial Track, 2026

  3. SUPERGLASSES: Benchmarking Vision Language Models as Intelligent Agents for AI Smart Glasses

    Zhuohang Jiang, Xu Yuan, Haohao Qu, Shanru Lin, Kanglong Liu, Wenqi Fan, Qing Li

    CVPR Findings, 2026

  4. Diffusion Generative Recommendation with Continuous Tokens

    Haohao Qu, Shanru Lin, Yujuan Ding, Yiqi Wang, Wenqi Fan

    The ACM Web Conference 2026

2025

6 publications
  1. TokenRec: learning to tokenize id for llm-based generative recommendation

    Haohao Qu, Wenqi Fan, Zihuai Zhao, Qing Li

    IEEE TKDE, 2025

  2. A survey of Mamba

    Haohao Qu, Liangbo Ning, Rui An, Wenqi Fan, Tyler Derr, Hui Liu, Xin Xu, Qing Li

    ACM Transactions on Intelligent Systems and Technology 2025

  3. 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 2025

  4. How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension

    Xinnan Dai, Haohao Qu, Yifen Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan

    ICLR 2025

  5. 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 Tutorials 2025

  6. Deep meta-learning approach for regional parking occupancy prediction considering heterogeneous and real-time information

    Haoxuan Kuang, Kunxiang Deng, Qiuxuan Wang, Wei Ye, Haohao Qu, Jun Li

    Advanced Engineering Informatics 2025

2024

1 publication
  1. A physics-informed graph learning approach for citywide electric vehicle charging demand prediction and pricing

    Haoxuan Kuang, Haohao Qu, Kunxiang Deng, and Jun Li

    Applied Energy, 2024

  2. A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction

    Haohao Qu, Haoxuan Kuang, Qiuxuan Wang, Jun Li, and Linlin You

    Journal Name, 2024

  3. An integrated approach for the near real-time parking occupancy prediction

    Jun Li, Haohao Qu, Linlin You

    IEEE Intelligent Transportation Systems, 2024

  4. ChatEV: Predicting electric vehicle charging demand as natural language processing

    Haohao Qu, Han Li, Linlin You, Rui Zhu, Jinyue Yan, Paolo Santi, Carlo Ratti, and Chau Yuen

    Transportation Research Part-D: Transport and Environment, 2024

  5. Unraveling the effect of electricity price on electric vehicle charging behavior: A case study in Shenzhen, China

    Haoxuan Kuang, Xinyu Zhang, Haohao Qu, Linlin You, Rui Zhu, Jun Li

    Sustainable Cities and Society, 2024

Earlier work

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