Jiale Han (韩佳乐)

Jiale Han (韩佳乐)

AI × Business

Research

🌟 Research Interests

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

Methodological Areas

  • Large Language Models (LLMs)
  • AI Agents
  • Information Retrieval and Extraction
  • Graph Learning

Applied Areas

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

👩‍💻‍ Research Experience

2026 -- Present
Research Assistant Professor Center for AI for Social Science, Shenzhen Loop Area Institute
2024 -- 2026
Post-doctoral Fellow School of Business and Management, Hong Kong University of Science and Technology Advised by Professor Yi Yang

🎓 Education

2018 -- 2023
Ph.D. in Computer Science Beijing University of Posts and Telecommunications Advised by Professor Bo Cheng
2021 -- 2023
Visiting Ph.D. Student Singapore University of Technology and Design Advised by Professor Wei Lu
2014 -- 2018
B.S. in Telecommunications Engineering 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.
Production and Operations Management. UTD 24 Major Revision
HoneyImage: Verifiable, Harmless, and Stealthy Dataset Ownership Verification for Image Models. Paper
Zhihao Zhu, Jiale Han, Yi Yang.
Management Information Systems Quarterly. UTD 24 Major Revision
RAG Meets Temporal Graphs: Time-Sensitive Modeling and Retrieval for Evolving Knowledge. PaperCode
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.

Human or Machine? A Preliminary Turing Test for Speech-to-Speech Interaction. PaperCode
Xiang Li, Jiabao Gao, Sipei Lin, Xuan Zhou, Chi Zhang, Bo Cheng, Jiale Han†, Benyou Wang.
International Conference on Learning Representations. ICLR 2026
DLP: Dynamic Layerwise Pruning in Large Language Models. PaperCode
Yuli Chen, Bo Cheng†, Jiale Han†, Yingying Zhang, Yingting Li, Shuhao Zhang.
International Conference on Machine Learning. ICML 2025
Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval. PaperCode
Yubai Wei, Jiale Han, Yi Yang.
Findings of the Association for Computational Linguistics. ACL Findings 2025
Explain-Analyze-Generate: A Sequential Multi-Agent Collaboration Method for Complex Reasoning. Paper
Wenyuan Gu*, Jiale Han*, Haowen Wang, Xiang Li, Bo Cheng.
Joint International Conference on Computational Linguistics, Language Resources and Evaluation. COLING 2025
VideoQA-TA: Temporal-Aware Multi-Modal Video Question Answering. PaperCode
Zhixuan Wu, Bo Cheng, Jiale Han, Jiabao Ma, Shuhao Zhang, Yuli Chen, Changbo Li.
Joint International Conference on Computational Linguistics, Language Resources and Evaluation. COLING 2025 Outstanding Paper
Towards Hard Few-Shot Relation Classification. Paper
Jiale Han, Bo Cheng, Zhiguo Wan, Wei Lu.
IEEE Transactions on Knowledge and Data Engineering. TKDE 2023
Generative Prompt Tuning for Relation Classification. PaperCode
Jiale Han, Shuai Zhao, Bo Cheng, Shengkun Ma, Wei Lu.
Findings of the Association for Computational Linguistics: EMNLP. EMNLP Findings 2022
Exploring Task Difficulty for Few-Shot Relation Extraction. PaperCode
Jiale Han, Bo Cheng, Wei Lu.
Conference on Empirical Methods in Natural Language Processing. EMNLP 2021
Learning Discriminative and Unbiased Representations for Few-Shot Relation Extraction. Paper
Jiale Han, Bo Cheng, Guoshun Nan.
ACM International Conference on Information and Knowledge Management. CIKM 2021
Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion. Paper
Jiale Han, Bo Cheng, Xu Wang.
Findings of the Association for Computational Linguistics: EMNLP. EMNLP Findings 2020
Two-Phase Hypergraph based Reasoning with Dynamic Relations for Multi-Hop KBQA. Paper
Jiale Han, Bo Cheng, Xu Wang.
International Joint Conferences on Artificial Intelligence. IJCAI 2020
Hypergraph Convolutional Network for Multi-Hop Knowledge Base Question Answering. Paper
Jiale Han, Bo Cheng, Xu Wang.
AAAI Conference on Artificial Intelligence. AAAI 2020

🏆 Awards

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