Publications

You can find my up-to-date publication list on Google Scholar.

2025

• Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu.
  RATT: A Thought Structure for Coherent and Correct LLM Reasoning.
  Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI), 2025. [pdf]

• Jinghan Zhang, Xiting Wang, Fengran Mo, Yeyang Zhou, Wanfu Gao, Kunpeng Liu.
  Entropy-based Exploration Conduction for Multi-step Reasoning.
  Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), Vienna, Austria, 2025. [pdf]

• Jinghan Zhang, Xinhao Zhang, Fengran Mo, Yuzhong Chen, Kunpeng Liu.
  Retrieval-Augmented Feature Generation for Domain-Specific Classification.
  Proceedings of the 25th IEEE International Conference on Data Mining (ICDM), 2025.

• Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu.
  Dynamic and Adaptive Feature Generation with Large Language Models.
  Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025. [pdf]

• Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu.
  LEKA: LLM-Enhanced Knowledge Augmentation.
  Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025. [pdf]

• Jinghan Zhang, Henry Xie, Xinhao Zhang, Kunpeng Liu.
  Enhancing Risk Assessment in Transformers with Loss-at-Risk Functions.
  Proceedings of the IEEE International Conference on Knowledge Graph (ICKG), 2024 (published 2025). [pdf]

• Xiaoyan Han*, Jin Ma*, Jinghan Zhang, Kunpeng Liu, Feng Luo.
  Understanding the Constraints of RAG-Based Medical LVLMs: A Case Study in Ophthalmic Report Generation.
  Proceedings of the 1st Workshop on AI-ready Data for Science Discovery (ICDM-ADSD) at the IEEE International Conference on Data Mining (ICDM), 2025.

2024

• Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu.
  Prototypical Reward Network for Data-Efficient RLHF.
  Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024. [pdf]

• Xinhao Zhang, Jinghan Zhang, Wujun Si, Kunpeng Liu.
  Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation.
  Proceedings of the IEEE International Conference on Knowledge Graph (ICKG), 2024. [pdf]

• Zaitian Wang, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu, Pengfei Wang, Yuanchun Zhou.
  Diversity-Oriented Data Augmentation with Large Language Models.
  Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025. [[pdf]](https://aclanthology.org/2025.acl-long.1084/）

2023

• Chang-Tien Lu, Le Ma, Ran Zhang, Yikun Han, Shirui Yu, Zaitian Wang, Zhiyuan Ning, Jinghan Zhang, Ping Xu, Pengjiang Li, Wei Ju, Chong Chen, Dongjie Wang, Kunpeng Liu, Pengyang Wang, Pengfei Wang, Yanjie Fu, Chunjiang Liu, Yuanchun Zhou.
  A Comprehensive Survey on Vector Databases: Storage and Retrieval Techniques, Challenges, and Future Directions.
  [pdf]