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ORCIDZongkai Liu
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2020 – today
- 2025
[j5]Zongkai Liu, Qiang Hao, Haidong Shao, Rao Xin, Ke Zhao:
Federated Distillation With Lightweight Generative Adversarial Network for Servo Motor Bearing Fault Diagnosis in Heterogeneous Data. IEEE Internet Things J. 12(9): 11744-11753 (2025)- [c6]Zijian Fang, Zongkai Liu, Chao Yu, Chaohao Hu:
Rapid Learning in Constrained Minimax Games with Negative Momentum. AAAI 2025: 16541-16549 - [c5]Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding:
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. AAAI 2025: 19068-19076 - [i5]Zijian Fang, Zongkai Liu, Chao Yu, Chaohao Hu:
Rapid Learning in Constrained Minimax Games with Negative Momentum. CoRR abs/2501.00533 (2025) - [i4]Fanqing Meng, Lingxiao Du, Zongkai Liu, Zhixiang Zhou, Quanfeng Lu, Daocheng Fu, Botian Shi, Wenhai Wang, Junjun He, Kaipeng Zhang, Ping Luo, Yu Qiao, Qiaosheng Zhang, Wenqi Shao:
MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning. CoRR abs/2503.07365 (2025) - 2024
- [j4]Zongkai Liu, Ke Zhao
, Haidong Shao, Jie Chen, Yifan Wan:
Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains. Expert Syst. Appl. 252: 124094 (2024) - [c4]Qian Lin, Chao Yu, Zongkai Liu, Zifan Wu:
Policy-regularized Offline Multi-objective Reinforcement Learning. AAMAS 2024: 1201-1209 - [c3]Qian Lin, Zongkai Liu, Danying Mo, Chao Yu:
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning. NeurIPS 2024 - [i3]Qian Lin, Chao Yu, Zongkai Liu, Zifan Wu:
Policy-regularized Offline Multi-objective Reinforcement Learning. CoRR abs/2401.02244 (2024) - [i2]Qian Lin, Zongkai Liu, Danying Mo, Chao Yu:
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning. CoRR abs/2409.09958 (2024) - [i1]Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding:
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. CoRR abs/2412.07639 (2024) - 2022
- [j3]Zongkai Liu, Penglin Dai, Huanlai Xing, Zhaofei Yu, Wei Zhang:
A Distributed Algorithm for Task Offloading in Vehicular Networks With Hybrid Fog/Cloud Computing. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4388-4401 (2022) - [c2]Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li:
A Unified Diversity Measure for Multiagent Reinforcement Learning. NeurIPS 2022 - 2020
- [j2]Zongkai Liu, Xiaoqiang Yang, Jinxing Shen:
Optimization of multitask parallel mobile edge computing strategy based on deep learning architecture. Des. Autom. Embed. Syst. 24(3): 129-143 (2020) - [j1]Zongkai Liu, Yuming Liu, Yuheng Zhang:
Study on the control method about improving piezoelectric actuated photoelectric precision tracking system. J. Comput. Methods Sci. Eng. 20(4): 1289-1300 (2020)
2010 – 2019
- 2017
- [c1]Ke Cui, Zongkai Liu, Rihong Zhu, Xiangyu Li:
FPGA-based high-performance time-to-digital converters by utilizing multi-channels looped carry chains. FPT 2017: 223-226
Coauthor Index
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