Research

🌟 Research Interests

My current research lies at the intersection of Artificial Intelligence and Business, with a focus on large language models and graph-learning methods for understanding dynamic business systems.

Methodological Areas:

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Knowledge Graphs

Applied Areas:

• Supply Chain Networks
• Corporate Credit Risk
• Business Decision Support
• Financial Text Analysis

👩‍💻‍ Research Experience

• Post-doctoral Fellow, 2024 – Present
  School of Business and Management, Hong Kong University of Science and Technology
  Advised by Professor Yi Yang

• Visiting Research Fellow, September 2021 – March 2023
  Singapore University of Technology and Design
  Advised by Professor Wei Lu

🎓 Education

• Ph.D in Computer Science, 2018 – 2023
  Beijing University of Posts and Telecommunications
  Advised by Professor Bo Cheng

• B.S. in Telecommunications Engineering, 2014 – 2018
  Xidian University

📝 Working Papers

• Hypergraph Modeling of Supply Chains: Unveiling the Impact of High-Order and Temporal Dynamics on Credit Risk Prediction.
  Jiale Han, Yi Yang, Yangyang Fan, Zhongju Zhang.
  Major Revision.

• HoneyImage: Verifiable, Harmless, and Stealthy Dataset Ownership Verification for Image Models.
  Zhihao Zhu, Jiale Han, Yi Yang.
  Under Review.

• RAG Meets Temporal Graphs: Time-Sensitive Modeling and Retrieval for Evolving Knowledge.
  Jiale Han, Austin Cheung, Yubai Wei, Zheng Yu, Xusheng Wang, Bing Zhu, Yi Yang.
  Under Review.

📚 Selected Publications

^* Equal contribution, ^† Corresponding author. Full list of publications available on Google Scholar.

• DLP: Dynamic Layerwise Pruning in Large Language Models.
  Yuli Chen, Bo Cheng^†, Jiale Han^†, Yingying Zhang, Yingting Li, Shuhao Zhang.
  In the International Conference on Machine Learning (ICML), 2025.

• Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval.
  Yubai Wei, Jiale Han, Yi Yang.
  In the Findings of the Association for Computational Linguistics (ACL Findings), 2025.

• Explain-Analyze-Generate: A Sequential Multi-Agent Collaboration Method for Complex Reasoning.
  Wenyuan Gu^*, Jiale Han^*, Haowen Wang, Xiang Li, Bo Cheng.
  In the Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING), 2025.

• VideoQA-TA: Temporal-Aware Multi-Modal Video Question Answering.
  Zhixuan Wu, Bo Cheng, Jiale Han, Jiabao Ma, Shuhao Zhang, Yuli Chen, Changbo Li.
  In the Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING), 2025. 🏅Outstanding Paper.

• Towards Hard Few-Shot Relation Classification.
  Jiale Han, Bo Cheng, Zhiguo Wan, Wei Lu.
  In the IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.

• Generative Prompt Tuning for Relation Classification.
  Jiale Han, Shuai Zhao, Bo Cheng, Shengkun Ma, Wei Lu.
  In the Findings of the Association for Computational Linguistics: EMNLP (EMNLP Findings), 2022.

• Exploring Task Difficulty for Few-Shot Relation Extraction.
  Jiale Han, Bo Cheng, Wei Lu.
  In the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

• Learning Discriminative and Unbiased Representations for Few-Shot Relation Extraction.
  Jiale Han, Bo Cheng, Guoshun Nan.
  In the ACM International Conference on Information and Knowledge Management (CIKM), 2021.

• Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion.
  Jiale Han, Bo Cheng, Xu Wang.
  In the Findings of the Association for Computational Linguistics: EMNLP (EMNLP Findings), 2020.

• Two-Phase Hypergraph based Reasoning with Dynamic Relations for Multi-Hop KBQA.
  Jiale Han, Bo Cheng, Xu Wang.
  In the International Joint Conferences on Artificial Intelligence (IJCAI), 2020.

• Hypergraph Convolutional Network for Multi-Hop Knowledge Base Question Answering.
  Jiale Han, Bo Cheng, Xu Wang.
  In the AAAI Conference on Artificial Intelligence (AAAI), 2020.

🏆 Awards

• Outstanding Paper, the 31st International Conference on Computational Linguistics, 2025
• Outstanding Graduate Award of BUPT, 2023