Efficient and Accurate Traffic Flow Prediction via Fast Dynamic Tensor Completion. - Jinzhi Liao; Xiang Zhao 002; Jiuyang Tang; Chong Zhang 004; Mingke He (TRAP, 2017)

Efficient and Accurate Traffic Flow Prediction via Incremental Tensor Completion. - Jinzhi Liao; Jiuyang Tang; Weixin Zeng; Xiang Zhao 002 (IEEE Access, 2018)

Improving POI Recommendation via Dynamic Tensor Completion. - Jinzhi Liao; Jiuyang Tang; Xiang Zhao 002; Haichuan Shang (Sci. Program., 2018)

Relevance-Based Entity Embedding. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Jinzhi Liao; Chang-Dong Wang 001 (DASFAA (3), 2019)

MOOPer: A Large-Scale Dataset of Practice-Oriented Online Learning. - Kunjia Liu; Xiang Zhao 002; Jiuyang Tang; Weixin Zeng; Jinzhi Liao; Feng Tian 002; Qinghua Zheng; Jingquan Huang; Ao Dai (CCKS, 2021)

Learning Discriminative Neural Representations for Event Detection. - Jinzhi Liao; Xiang Zhao 002; Xinyi Li 001; Lingling Zhang 005; Jiuyang Tang (SIGIR, 2021)

To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs. - Jinzhi Liao; Xiang Zhao 002; Jiuyang Tang; Weixin Zeng; Zhen Tan (World Wide Web, 2021)

PTAU: Prompt Tuning for Attributing Unanswerable Questions. - Jinzhi Liao; Xiang Zhao 002; Jianming Zheng; Xinyi Li 001; Fei Cai; Jiuyang Tang (SIGIR, 2022)

Complex Question Answering Over Temporal Knowledge Graphs. - Shaonan Long; Jinzhi Liao; Shiyu Yang; Xiang Zhao 002; Xuemin Lin 001 (WISE, 2022)

Temporal knowledge graph question answering via subgraph reasoning. - Ziyang Chen; Xiang Zhao 002; Jinzhi Liao; Xinyi Li 001; Evangelos Kanoulas (Knowl. Based Syst., 2022)

Contrastive heterogeneous graphs learning for multi-hop machine reading comprehension. - Jinzhi Liao; Xiang Zhao 002; Xinyi Li 001; Jiuyang Tang; Bin Ge (World Wide Web, 2022)

Multi-granularity Temporal Question Answering over Knowledge Graphs. - Ziyang Chen; Jinzhi Liao; Xiang Zhao 002 (ACL (1), 2023)

A Unified Recombination and Adversarial Framework for Machine Reading Comprehension. - Jinzhi Liao; Yipeng Wu; Yong Su; Zhixiao Dong (DMBD (1), 2023)

ITIU: Intention Understanding via Interactive Table in Large Language Models. - Zenghua Liao; Jinzhi Liao; Xiang Zhao 002 (CIKM, 2024)

Learn From Mistakes: Guidance on Zero-shot Conversational Text-to-SQL. - Wenshuo Zhai; Xiang Zhao 002; Jinzhi Liao; Ziyang Chen (CIKM, 2024)

Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection. - Chengyu Song; Linru Ma; Jianming Zheng; Jinzhi Liao; Hongyu Kuang; Lin Yang (CoRR, 2024)

An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms. - Ziyang Chen; Xiaobin Wang; Yong Jiang 001; Jinzhi Liao; Pengjun Xie; Fei Huang 002; Xiang Zhao 002 (CoRR, 2024)

PSSD: Making Large Language Models Self-denial via Human Psyche Structure. - Jinzhi Liao; Zenghua Liao; Xiang Zhao 002 (WWW, 2025)

An adaptive confidence-based data revision framework for Document-level Relation Extraction. - Chao Jiang; Jinzhi Liao; Xiang Zhao 002; Daojian Zeng; Jianhua Dai (Inf. Process. Manag., 2025)