Reinforcement Learning Over Knowledge Graphs for Explainable Dialogue Intent Mining. - Kai Yang 022; Xinyu Kong; Yafang Wang; Jie Zhang 060; Gerard de Melo (IEEE Access, 2020)

A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. - Huizi Wu; Hui Fang 002; Zhu Sun 001; Cong Geng; Xinyu Kong; Yew-Soon Ong (ICDE, 2023)

A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification. - Xiang Hu; Xinyu Kong; Kewei Tu (ICLR, 2023)

Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems. - Tianyu Cui; Yanling Wang; Chuanpu Fu; Yong Xiao; Sijia Li; Xinhao Deng; Yunpeng Liu; Qinglin Zhang; Ziyi Qiu; Peiyang Li; Zhixing Tan; Junwu Xiong; et al. (CoRR, 2024)

Robust Time-Domain-Based Spectral Processing Method for Laser Self-Mixing Vibration Measurement. - Hanqiao Chen; Zhengjian Zhong; Shize Ge; Desheng Zhu; Yunxiu Lin; Xinyu Kong; Xuyue Zheng; Zhipeng Dong; Xiulin Wang; Wencai Huang (IEEE Trans. Instrum. Meas., 2024)

Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System. - Yuxin Ni; Yunwen Xia; Hui Fang 002; Chong Long; Xinyu Kong; Daqian Li; Dong Yang; Jie Zhang 002 (ACM Trans. Inf. Syst., 2024)

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning. - Xiaoxue Cheng; Junyi Li; Zhenduo Zhang; Xinyu Tang 004; Wayne Xin Zhao; Xinyu Kong; Zhiqiang Zhang 012 (CoRR, 2025)

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs. - Ling Team; Bin Hu; Cai Chen; Deng Zhao; Ding Liu; Dingnan Jin; Feng Zhu; Hao Dai; Hongzhi Luan; Jia Guo; Jiaming Liu; Jiewei Wu; et al. (CoRR, 2025)