Zongkai Liu - RankMe

22 papers A* 5A 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	WeEdit: A Dataset, Benchmark and Glyph-Guided Framework for Text-centric Image Editing. CoRR Hui Zhang, Juntao Liu, Zongkai Liu, Liqiang Niu, Fandong Meng, Zuxuan Wu, Yu-Gang Jiang
2025	J	`jnl`	CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models. CoRR Zongkai Liu, Fanqing Meng, Lingxiao Du, Zhixiang Zhou, Chao Yu, Wenqi Shao, Qiaosheng Zhang
2025	A*	`conf`	Conservative Offline Goal-Conditioned Implicit V-Learning. ICML Kaiqiang Ke, Qian Lin, Zongkai Liu, Shenghong He, Chao Yu
2025	J	`jnl`	Federated Distillation With Lightweight Generative Adversarial Network for Servo Motor Bearing Fault Diagnosis in Heterogeneous Data. IEEE Internet Things J. Zongkai Liu, Qiang Hao, Haidong Shao, Rao Xin, Ke Zhao
2025	J	`jnl`	Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation. CoRR Zhijian Zhou, Junyi An, Zongkai Liu, Yunfei Shi, Xuan Zhang, Fenglei Cao, Chao Qu, Yuan Qi
2025	J	`jnl`	MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning. CoRR 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
2025	J	`jnl`	MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision. CoRR Lingxiao Du, Fanqing Meng, Zongkai Liu, Zhixiang Zhou, Ping Luo, Qiaosheng Zhang, Wenqi Shao
2025	A*	`conf`	Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. AAAI Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding
2025	A*	`conf`	Rapid Learning in Constrained Minimax Games with Negative Momentum. AAAI Zijian Fang, Zongkai Liu, Chao Yu, Chaohao Hu
2025	J	`jnl`	Rapid Learning in Constrained Minimax Games with Negative Momentum. CoRR Zijian Fang, Zongkai Liu, Chao Yu, Chaohao Hu
2024	A*	`conf`	An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning. NeurIPS Qian Lin, Zongkai Liu, Danying Mo, Chao Yu
2024	J	`jnl`	An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning. CoRR Qian Lin, Zongkai Liu, Danying Mo, Chao Yu
2024	J	`jnl`	Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. CoRR Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding
2024	A	`conf`	Policy-regularized Offline Multi-objective Reinforcement Learning. AAMAS Qian Lin, Chao Yu, Zongkai Liu, Zifan Wu
2024	J	`jnl`	Policy-regularized Offline Multi-objective Reinforcement Learning. CoRR Qian Lin, Chao Yu, Zongkai Liu, Zifan Wu
2024	—	`conf`	RegFTRL: Efficient Equilibrium Learning in Two-Player Zero-Sum Games. DAI Zijian Fang, Zongkai Liu, Chao Yu
2024	J	`jnl`	Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains. Expert Syst. Appl. Zongkai Liu, Ke Zhao, Haidong Shao, Jie Chen, Yifan Wan
2022	J	`jnl`	A Distributed Algorithm for Task Offloading in Vehicular Networks With Hybrid Fog/Cloud Computing. IEEE Trans. Syst. Man Cybern. Syst. Zongkai Liu, Penglin Dai, Huanlai Xing, Zhaofei Yu, Wei Zhang
2022	A*	`conf`	A Unified Diversity Measure for Multiagent Reinforcement Learning. NeurIPS Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li
2020	J	`jnl`	Optimization of multitask parallel mobile edge computing strategy based on deep learning architecture. Des. Autom. Embed. Syst. Zongkai Liu, Xiaoqiang Yang, Jinxing Shen
2020	J	`jnl`	Study on the control method about improving piezoelectric actuated photoelectric precision tracking system. J. Comput. Methods Sci. Eng. Zongkai Liu, Yuming Liu, Yuheng Zhang
2017	—	`conf`	FPGA-based high-performance time-to-digital converters by utilizing multi-channels looped carry chains. FPT Ke Cui, Zongkai Liu, Rihong Zhu, Xiangyu Li