Zongkai Liu

According to our database, Zongkai Liu authored at least 19 papers between 2017 and 2026.

Collaborative distances:

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

2026

Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web.

Xiaohang Nie, Zihan Guo, Zicai Cui, Jiachi Yang, Zeyi Chen, Leheyi De, Yu Zhang, Junwei Liao, Bo Huang, Yingxuan Yang, Zhi Han, Zimian Peng, Linyao Chen, Wenzheng Tom Tang, Zongkai Liu, Tao Zhou, Botao Amber Hu, Shuyang Tang, Jianghao Lin, Weiwen Liu, Muning Wen, Yuanjian Zhou, Weinan Zhang

CoRR, April, 2026

WeEdit: A Dataset, Benchmark and Glyph-Guided Framework for Text-centric Image Editing.

Hui Zhang, Juntao Liu, Zongkai Liu, Liqiang Niu, Fandong Meng, Zuxuan Wu, Yu-Gang Jiang

CoRR, March, 2026

2025

Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation.

Zhijian Zhou, Junyi An, Zongkai Liu, Yunfei Shi, Xuan Zhang, Fenglei Cao, Chao Qu, Yuan Qi

CoRR, August, 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., May, 2025

MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision.

Lingxiao Du, Fanqing Meng, Zongkai Liu, Zhixiang Zhou, Ping Luo, Qiaosheng Zhang, Wenqi Shao

CoRR, May, 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, May, 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, Yu Qiao, Qiaosheng Zhang, Wenqi Shao

CoRR, March, 2025

Conservative Offline Goal-Conditioned Implicit V-Learning.

Kaiqiang Ke, Qian Lin, Zongkai Liu, Shenghong He, Chao Yu

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Rapid Learning in Constrained Minimax Games with Negative Momentum.

Zijian Fang, Zongkai Liu, Chao Yu, Chaohao Hu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning.

Qian Lin, Zongkai Liu, Danying Mo, Chao Yu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

RegFTRL: Efficient Equilibrium Learning in Two-Player Zero-Sum Games.

Zijian Fang, Zongkai Liu, Chao Yu

Proceedings of the 2024 6th International Conference on Distributed Artificial Intelligences, 2024

Policy-regularized Offline Multi-objective Reinforcement Learning.

Qian Lin, Chao Yu, Zongkai Liu, Zifan Wu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

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

IEEE Trans. Syst. Man Cybern. Syst., 2022

A Unified Diversity Measure for Multiagent Reinforcement Learning.

Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Optimization of multitask parallel mobile edge computing strategy based on deep learning architecture.

Zongkai Liu, Xiaoqiang Yang, Jinxing Shen

Des. Autom. Embed. Syst., 2020

2017

FPGA-based high-performance time-to-digital converters by utilizing multi-channels looped carry chains.

Ke Cui, Zongkai Liu, Rihong Zhu, Xiangyu Li

Proceedings of the International Conference on Field Programmable Technology, 2017