TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting. - Haohai Sun; Jialun Zhong; Yunpu Ma; Zhen Han 003; Kun He 001 (EMNLP (1), 2021)

Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs. - Haohai Sun; Shangyi Geng; Jialun Zhong; Han Hu 001; Kun He 001 (EMNLP, 2022)

Optimal Scheduling in Rural Community Microgrids. - Jialun Zhong; Yuxiao Wang (ISGT Asia, 2022)

Techno-Economic Modeling and Analysis of Off-Grid Microgrids for Rural Electrification in China. - Yingqi Liang; Can Berk Saner; Jialun Zhong; Yuxiao Wang; Yilin Liu; Zhouwei Zhong (IECON, 2023)

A reinforced hybrid genetic algorithm for the traveling salesman problem. - Jiongzhi Zheng; Jialun Zhong; Menglei Chen; Kun He 001 (Comput. Oper. Res., 2023)

Leveraging Large Language Model as Simulated Patients for Clinical Education. - Yanzeng Li; Cheng Zeng; Jialun Zhong; Ruoyu Zhang; Minhao Zhang; Lei Zou 001 (CoRR, 2024)

Exploiting Prefix-Tree in Structured Output Interfaces for Enhancing Jailbreak Attacking. - Yanzeng Li; Yunfan Xiong; Jialun Zhong; Jinchao Zhang 001; Jie Zhou 016; Lei Zou 001 (CoRR, 2025)

A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future. - Jialun Zhong; Wei Shen; Yanzeng Li; Songyang Gao; Hua Lu 017; Yicheng Chen; Yang Zhang; Wei Zhou; Jinjie Gu; Lei Zou 001 (CoRR, 2025)

GAP: Graph-Assisted Prompts for Dialogue-based Medication Recommendation. - Jialun Zhong; Yanzeng Li; Sen Hu; Yang Zhang; Teng Xu; Lei Zou 001 (CoRR, 2025)