Zifan Wu

According to our database, Zifan Wu authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

2024

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent.

Xingwu Sun, Yanfeng Chen, Yiqing Huang, Ruobing Xie, Jiaqi Zhu, Kai Zhang, Shuaipeng Li, Zhen Yang, Jonny Han, Xiaobo Shu, Jiahao Bu, Zhongzhi Chen, Xuemeng Huang, Fengzong Lian, Saiyong Yang, Jianfeng Yan, Yuyuan Zeng, Xiaoqin Ren, Chao Yu, Lulu Wu, Yue Mao, Jun Xia, Tao Yang, Suncong Zheng, Kan Wu, Dian Jiao, Jinbao Xue, Xipeng Zhang, Decheng Wu, Kai Liu, Dengpeng Wu, Guanghui Xu, Shaohua Chen, Shuang Chen, Xiao Feng, Yigeng Hong, Junqiang Zheng, Chengcheng Xu, Zongwei Li, Xiong Kuang, Jianglu Hu, Yiqi Chen, Yuchi Deng, Guiyang Li, Ao Liu, Chenchen Zhang, Shihui Hu, Zilong Zhao, Zifan Wu, Yao Ding, Weichao Wang, Han Liu, Roberts Wang, Hao Fei, Peijie Yu, Ze Zhao, Xun Cao, Hai Wang, Fusheng Xiang, Mengyuan Huang, Zhiyuan Xiong, Bin Hu, Xuebin Hou, Lei Jiang, Jianqiang Ma, Jiajia Wu, Yaping Deng, Yi Shen, Qian Wang, Weijie Liu, Jie Liu, Meng Chen, Liang Dong, Weiwen Jia, Hu Chen, Feifei Liu, Rui Yuan, Huilin Xu, Zhenxiang Yan, Tengfei Cao, Zhichao Hu, Xinhua Feng, Dong Du, Tinghao Yu, Yangyu Tao, Feng Zhang, Jianchen Zhu, Chengzhong Xu, Xirui Li, Chong Zha, Wen Ouyang, Yinben Xia, Xiang Li, Zekun He, Rongpeng Chen, Jiawei Song, Ruibin Chen, Fan Jiang, Chongqing Zhao, Bo Wang

CoRR, 2024

Off-Policy Primal-Dual Safe Reinforcement Learning.

Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang

Proceedings of the Twelfth International Conference on Learning Representations, 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

2023

CoalUMLP: Slice and Dice! A Fast, MLP-Like 3D Medical Image Segmentation Network.

Ruoyu Wu, Zifan Wu, Xue Hu, Lei Zhang

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Safe Offline Reinforcement Learning with Real-Time Budget Constraints.

Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang

Proceedings of the International Conference on Machine Learning, 2023

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning.

Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning.

Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo

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

2021

Model-Based Multi-agent Policy Optimization with Dynamic Dependence Modeling.

Biyang Hu, Chao Yu, Zifan Wu

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

Coordinated Proximal Policy Optimization.

Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Inference-based Hierarchical Reinforcement Learning for Cooperative Multi-agent Navigation.

Lijun Xia, Chao Yu, Zifan Wu

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021