Publications

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

2026

• [NeurIPS] Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, Ruimin Dai, Xiaoyan Han, Yanjie Fu, Dakuo Wang, Kunpeng Liu.
  StaRPO: Stability-Augmented Reinforcement Policy Optimization.
  Proceedings of the Fortieth Annual Conference on Neural Information Processing Systems, 2026. [paper]

• [EACL] Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, Xinyue Ye, Dongjie Wang, Yanjie Fu, Kunpeng Liu.
  Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer.
  Findings of the Association for Computational Linguistics: EACL, 2026. [paper]

• [AAAI] Jinghan Zhang, Fengran Mo, Yuchen Hui, Jia Ao Sun, Zhichao Xu, Zhan Su, Jian-Yun Nie.
  ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval.
  Proceedings of the 40th AAAI Conference on Artificial Intelligence, 2026. [paper]

• [WWW] Fengran Mo, Zhan Su, Yuchen Hui, Jinghan Zhang, Jia Ao Sun, Zheyuan Liu, Chao Zhang, Tetsuya Sakai, Jian-Yun Nie.
  OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in Retrieval-Augmented Generation.
  Proceedings of the ACM Web Conference, 2026. [paper]

• [KAIS] Jinghan Zhang, Xinhao Zhang, Fengran Mo, Dakshak Keerthi Chandra, Yu-Zhong Chen, Fei Xie, Kunpeng Liu.
  Reliable Retrieval-Augmented Feature Generation with Large Language Model Reasoning.
  Knowledge and Information Systems, 2026. [paper]

• [KDD Explorations] Kunpeng Liu, Nori Nakata, Jinghan Zhang, Guodong Chen, Rui Liu, Tao Zhe, Dongjie Wang, Xinyuan Wang, Hongyu Cao, Yanjie Fu.
  Beyond Simulate-Then-Optimize: Geothermal AI for Geothermal Dynamics Prediction, Design, and Discovery.
  ACM SIGKDD Explorations Newsletter, 2026. [paper]

2025

• [AAAI] 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, 2025. [paper]

• [ACL] 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, 2025. [paper]

• [ICDM] 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, 2025. [paper]

• [ACL] 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, 2025. [paper]

• [IJCAI] 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, 2025. [paper]

• [IJCAI] 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, 2025. [paper]

• [SIGDIAL] Henry J. Xie, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu.
  Distilling Empathy from Large Language Models.
  Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2025. [paper]

• [ICDM-ADSD] 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 at the IEEE International Conference on Data Mining, 2025.

2024

• [ACL] 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, 2024. [paper]

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

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

• [Big Data] Henry J. Xie, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu.
  Scoring with Large Language Models: A Study on Measuring Empathy of Responses in Dialogues.
  Proceedings of the 2024 IEEE International Conference on Big Data, 2024. [paper]

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.
  arXiv preprint arXiv:2310.11703, 2023. [paper]