| 2026 | DASFAA | DMS-ToM: Enhancing LLMs' Theory of Mind via Dramaturgy-Driven Mental-State Process. | Chenglong Wu, Jinzhi Liao, Xiang Zhao |
| 2026 | DASFAA | LACHT: An LLM-Aligned Cross-Hyperedge Tracer for Personalized Learning Path Planning in Programming. | Junfeng Zhang, Jiuyang Tang, Yaqing Sheng, Jinzhi Liao, Xiang Zhao |
| 2026 | WWW | Prism: Towards Lowering User Cognitive Load in LLMs via Complex Intent Understanding. | Zenghua Liao, Jinzhi Liao, Xiang Zhao |
| 2026 | WWW | Fusion Is Not A Simple Ensemble! Towards The Evolving Views in Insider Threat Detection. | Chengyu Song, Lin Yang, Jianming Zheng, Jingjing Zhang, Hongyu Kuang, Jinzhi Liao, Mengchun Zhao |
| 2026 | SIGIR | Meituan Merchant Business Diagnosis via Policy-Guided Dual-Process User Simulation. | Ziyang Chen, Renbing Chen, Daowei Li, Jinzhi Liao, Jiashen Sun, Ke Zeng, Xiang Zhao |
| 2026 | SIGIR | NeuCon-ICE: Neuron-Level Controllable In-Context Editing for Multimodal Large Language Models. | Chao Jiang, Jinzhi Liao, Xiang Zhao |
| 2026 | SIGIR | NeurPIU: Neurobiologically Inspired Personalized Intent Understanding in Large Language Models. | Zenghua Liao, Jinzhi Liao, Xiang Zhao |
| 2025 | CIKM | Advancing Temporal Sensitive Question Answering through Progressive Multi-Step Reflection. | Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Shuaiqiang Wang, Baotian Hu, Dawei Yin |
| 2025 | CIKM | Parse-LLM: A Prior-Free LLM Parser for Unknown System Logs. | Chengyu Song, Lin Yang, Jianming Zheng, Jinzhi Liao, Feng Yang, Linru Ma, Fei Cai |
| 2025 | DASFAA | PRIM: Encoding Propagation Probability and Role-Aware Representation for Influence Maximization. | Niran Deng, Jiuyang Tang, Yang Fang, Tianyang Shao, Jinzhi Liao, Xiang Zhao |
| 2025 | DASFAA | Dual-Prompting Based Event Anomaly Detection in Dynamic Graphs. | Haodan Ran, Yang Fang, Jiuyang Tang, Weiming Zhang, Jinzhi Liao, Xiang Zhao |
| 2025 | WWW | PSSD: Making Large Language Models Self-denial via Human Psyche Structure. | Jinzhi Liao, Zenghua Liao, Xiang Zhao |
| 2024 | CIKM | ITIU: Intention Understanding via Interactive Table in Large Language Models. | Zenghua Liao, Jinzhi Liao, Xiang Zhao |
| 2024 | CIKM | Learn From Mistakes: Guidance on Zero-shot Conversational Text-to-SQL. | Wenshuo Zhai, Xiang Zhao, Jinzhi Liao, Ziyang Chen |
| 2023 | ACL | Multi-granularity Temporal Question Answering over Knowledge Graphs. | Ziyang Chen, Jinzhi Liao, Xiang Zhao |
| 2022 | SIGIR | PTAU: Prompt Tuning for Attributing Unanswerable Questions. | Jinzhi Liao, Xiang Zhao, Jianming Zheng, Xinyi Li, Fei Cai, Jiuyang Tang |
| 2022 | WISE | Complex Question Answering Over Temporal Knowledge Graphs. | Shaonan Long, Jinzhi Liao, Shiyu Yang, Xiang Zhao, Xuemin Lin |
| 2021 | SIGIR | Learning Discriminative Neural Representations for Event Detection. | Jinzhi Liao, Xiang Zhao, Xinyi Li, Lingling Zhang, Jiuyang Tang |
| 2019 | DASFAA | Relevance-Based Entity Embedding. | Weixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, Chang-Dong Wang |