publications

Preprints

  1. Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS
    Pengfei He, Yue Xing, Shuo Dong, and 6 more authors
    2025
    PDF
  2. Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach
    Haoyu Han, Juanhui Li, Wei Huang, and 5 more authors
    2024
    PDF

Publications

  1. ICLR
    TRAJECT-Bench: A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use
    Pengfei He, Zhenwei Dai, Bing He, and 10 more authors
    The Fourteenth International Conference on Learning Representations, 2026
    PDF
  2. IEEE
    Human-AI Collaboration for Knowledge-in-use Assessment Design: Leveraging LLMs with RAG
    Juanhui Li, Tiantian Li, Hongyu Li, and 4 more authors
    2025 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, 2025
  3. NAACL
    Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
    Juanhui Li, Sreyashi Nag, Hui Liu, and 7 more authors
    Findings of the Association for Computational Linguistics: NAACL 2025, 2025
    PDF
  4. IJCNLP-AACL
    Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation
    Juanhui Li, Haoyu Han, Zhikai Chen, and 4 more authors
    Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025
    PDF
  5. NeurIPS
    Mixture of Link Predictors
    Li Ma, Haoyu Han, Juanhui Li, and 4 more authors
    The Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024
    PDF
  6. ICLR
    Revisiting Link Prediction: A Data Perspective
    Haitao Mao, Juanhui Li, Harry Shomer, and 6 more authors
    Twelfth International Conference on Learning Representations, 2024
    PDF Code
  7. KDD
    LPFormer: An Adaptive Graph Transformer for Link Prediction
    Harry Shomer, Yao Ma, Haitao Mao, and 3 more authors
    2024
    PDF Code
  8. EMNLP
    Distance-Based Propagation for Efficient Knowledge Graph Reasoning
    Harry Shomer, Yao Ma, Li Juanhui, and 3 more authors
    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
    PDF Code
  9. NeurIPS
    Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
    Juanhui Li, Harry Shomer, Haitao Mao, and 5 more authors
    Thirty-seventh Conference on Neural Information Processing Systems, Orleans, United States, 2023
    PDF Code
  10. ACL
    Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?
    Juanhui Li, Harry Shomer, Jiayuan Ding, and 5 more authors
    Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023, Toronto, Cananda, 2023
    PDF Code
  11. SIGIR
    Graph Enhanced BERT for Query Understanding
    Juanhui Li, Yao Ma, Wei Zeng, and 4 more authors
    Proceedings of the 46th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2023, Taipei, China, 2023
    PDF
  12. ASONAM
    Learning Representations for Hyper-Relational Knowledge Graphs
    Harry Shomer, Wei Jin, Juanhui Li, and 2 more authors
    The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Marrakesh, Morocco, 6-9 November 2023, 2023
    PDF
  13. TKDD
    Attributed Network Embedding with Micro-Meso Structure
    Juanhui Li, Ling Huang, Chang-Dong Wang, and 3 more authors
    ACM Trans. Knowl. Discov. Data, 2021
  14. ICDM
    Graph Pooling with Representativeness
    Juanhui Li, Yao Ma, Yiqi Wang, and 3 more authors
    2020
    PDF Code
  15. PR
    Discriminative metric learning for multi-view graph partitioning
    Juanhui Li, Chang-Dong Wang, Pei-Zhen Li, and 1 more author
    Pattern Recognition, 2018