Xinyu Kong

According to our database, Xinyu Kong authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Jun Mei, Jun Zhou, Junbo Zhao, Junwu Xiong, Kaihong Zhang, Kuan Xu, Lei Liang, Liang Jiang, Liangcheng Fu, Longfei Zheng, Qiang Gao, Qing Cui, Quan Wan, Shaomian Zheng, Shuaicheng Li, Tongkai Yang, Wang Ren, Xiaodong Yan, Xiaopei Wan, Xiaoyun Feng, Xin Zhao, Xinxing Yang, Xinyu Kong, Xuemin Yang, Yang Li, Yingting Wu, Yongkang Liu, Zhankai Xu, Zhenduo Zhang, Zhenglei Zhou, Zhenyu Huang, Zhiqiang Zhang, Zihao Wang, Zujie Wen

CoRR, June, 2025

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning.

Xiaoxue Cheng, Junyi Li, Zhenduo Zhang, Xinyu Tang, Wayne Xin Zhao, Xinyu Kong, Zhiqiang Zhang

CoRR, May, 2025

2024

Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System.

Yuxin Ni, Yunwen Xia, Hui Fang, Chong Long, Xinyu Kong, Daqian Li, Dong Yang, Jie Zhang

ACM Trans. Inf. Syst., January, 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

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, Xinyu Kong, Zujie Wen, Ke Xu, Qi Li

CoRR, 2024

2023

A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification.

Xiang Hu, Xinyu Kong, Kewei Tu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation.

Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2020

Reinforcement Learning Over Knowledge Graphs for Explainable Dialogue Intent Mining.

Kai Yang, Xinyu Kong, Yafang Wang, Jie Zhang, Gerard de Melo

IEEE Access, 2020