FPGA-based high-performance time-to-digital converters by utilizing multi-channels looped carry chains. - Ke Cui; Zongkai Liu; Rihong Zhu; Xiangyu Li 005 (FPT, 2017)

Optimization of multitask parallel mobile edge computing strategy based on deep learning architecture. - Zongkai Liu; Xiaoqiang Yang; Jinxing Shen (Des. Autom. Embed. Syst., 2020)

Study on the control method about improving piezoelectric actuated photoelectric precision tracking system. - Zongkai Liu; Yuming Liu; Yuheng Zhang (J. Comput. Methods Sci. Eng., 2020)

A Unified Diversity Measure for Multiagent Reinforcement Learning. - Zongkai Liu; Chao Yu 004; Yaodong Yang 002; Peng Sun; Zifan Wu; Yuan Li (NeurIPS, 2022)

A Distributed Algorithm for Task Offloading in Vehicular Networks With Hybrid Fog/Cloud Computing. - Zongkai Liu; Penglin Dai; Huanlai Xing; Zhaofei Yu; Wei Zhang 161 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Policy-regularized Offline Multi-objective Reinforcement Learning. - Qian Lin; Chao Yu 004; Zongkai Liu; Zifan Wu (AAMAS, 2024)

An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning. - Qian Lin; Zongkai Liu; Danying Mo; Chao Yu 004 (NeurIPS, 2024)

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. - Zongkai Liu; Qian Lin; Chao Yu 004; Xiawei Wu; Yile Liang; Donghui Li; Xuetao Ding (CoRR, 2024)

Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains. - Zongkai Liu; Ke Zhao; Haidong Shao; Jie Chen; Yifan Wan (Expert Syst. Appl., 2024)

Rapid Learning in Constrained Minimax Games with Negative Momentum. - Zijian Fang; Zongkai Liu; Chao Yu 004; Chaohao Hu (AAAI, 2025)

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. - Zongkai Liu; Qian Lin; Chao Yu; Xiawei Wu; Yile Liang; Donghui Li; Xuetao Ding (AAAI, 2025)

MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning. - Fanqing Meng; Lingxiao Du; Zongkai Liu; Zhixiang Zhou; Quanfeng Lu; Daocheng Fu; Botian Shi; Wenhai Wang; Junjun He; Kaipeng Zhang; Ping Luo 002; Yu Qiao 001; et al. (CoRR, 2025)

CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models. - Zongkai Liu; Fanqing Meng; Lingxiao Du; Zhixiang Zhou; Chao Yu; Wenqi Shao; Qiaosheng Zhang (CoRR, 2025)

MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision. - Lingxiao Du; Fanqing Meng; Zongkai Liu; Zhixiang Zhou; Ping Luo 002; Qiaosheng Zhang; Wenqi Shao (CoRR, 2025)

Federated Distillation With Lightweight Generative Adversarial Network for Servo Motor Bearing Fault Diagnosis in Heterogeneous Data. - Zongkai Liu; Qiang Hao; Haidong Shao; Rao Xin; Ke Zhao (IEEE Internet Things J., 2025)

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. - Yicheng Bao; Guanxu Chen; Mingkang Chen; Yunhao Chen; Chiyu Chen; Lingjie Chen; Sirui Chen; Xinquan Chen; Jie Cheng; Yu Cheng 001; Dengke Deng; Yizhuo Ding; et al. (CoRR, 2025)