Jiangcheng Zhu

30 papers A* 4C 2Misc 1Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	An Empirical Study on Google Research Football Multi-agent Scenarios. Mach. Intell. Res. Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang
2024	J	`jnl`	CTDS: Centralized Teacher With Decentralized Student for Multiagent Reinforcement Learning. IEEE Trans. Games Jian Zhao, Xunhan Hu, Mingyu Yang, Wengang Zhou, Jiangcheng Zhu, Houqiang Li
2024	J	`jnl`	Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. Yang Li, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang, Jiangcheng Zhu, Zhifeng Chen, Jun Wang, Yang Yang
2024	J	`jnl`	Yi-Lightning Technical Report. CoRR Alan Wake, Bei Chen, C. X. Lv, Chao Li, Chengen Huang, Chenglin Cai, Chujie Zheng, Daniel Cooper, Fan Zhou, Feng Hu, Guoyin Wang, Heng Ji, Howard Qiu, Jiangcheng Zhu, Jun Tian, Katherine Su, Lihuan Zhang, Liying Li, Ming Song, Mou Li, Peng Liu, Qicheng Hu, Shawn Wang, Shijun Zhou, Shiming Yang, Shiyong Li, Tianhang Zhu, Wen Xie, Xiang He, Xiaobo Chen, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Yanpeng Li, Yongke Zhao, Yongzhen Luo, Yuchi Xu, Yuxuan Sha, Zhaodong Yan, Zhiyuan Liu, Zirui Zhang, Zonghong Dai
2024	J	`jnl`	Yi: Open Foundation Models by 01.AI. CoRR Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, Kaidong Yu, Peng Liu, Qiang Liu, Shawn Yue, Senbin Yang, Shiming Yang, Tao Yu, Wen Xie, Wenhao Huang, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Pengcheng Nie, Yuchi Xu, Yudong Liu, Yue Wang, Yuxuan Cai, Zhenyu Gu, Zhiyuan Liu, Zonghong Dai
2024	J	`jnl`	Zero-Indexing Internet Search Augmented Generation for Large Language Models. CoRR Guangxin He, Zonghong Dai, Jiangcheng Zhu, Binqiang Zhao, Chenyue Li, You Peng, Chen Wang, Binhang Yuan
2023	J	`jnl`	ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao
2023	J	`jnl`	An Empirical Study on Google Research Football Multi-agent Scenarios. CoRR Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang
2023	J	`jnl`	JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. CoRR Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
2023	J	`jnl`	JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. Trans. Mach. Learn. Res. Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
2023	A*	`conf`	Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. ICLR Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia
2023	J	`jnl`	Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. CoRR Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia
2023	A*	`conf`	Learning to Shape Rewards Using a Game of Two Partners. AAAI David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang
2022	J	`jnl`	CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning. CoRR Jian Zhao, Xunhan Hu, Mingyu Yang, Wengang Zhou, Jiangcheng Zhu, Houqiang Li
2022	A*	`conf`	LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning. NeurIPS Mingyu Yang, Jian Zhao, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, Houqiang Li
2022	J	`jnl`	LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning. CoRR Mingyu Yang, Jian Zhao, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, Houqiang Li
2022	A*	`conf`	LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. ICLR David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang
2022	J	`jnl`	Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization. CoRR Jian Zhao, Yue Zhang, Xunhan Hu, Weixun Wang, Wengang Zhou, Jianye Hao, Jiangcheng Zhu, Houqiang Li
2021	J	`jnl`	An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud. CoRR Liang Hu, Jiangcheng Zhu, Zirui Zhou, Ruiqing Cheng, Xiaolong Bai, Yong Zhang
2021	J	`jnl`	LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. CoRR David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang
2021	J	`jnl`	Learning to Shape Rewards using a Game of Switching Controls. CoRR David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang
2021	Misc	`conf`	Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention. CoRL Yunkun Xu, Zhenyu Liu, Guifang Duan, Jiangcheng Zhu, Xiaolong Bai, Jianrong Tan
2021	J	`jnl`	Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention. CoRR Yunkun Xu, Zhenyu Liu, Guifang Duan, Jiangcheng Zhu, Xiaolong Bai, Jianrong Tan
2019	J	`jnl`	Exploratory Analysis for Big Social Data Using Deep Network. IEEE Access Chao Wu, Guolong Wang, Jiangcheng Zhu, Piyawat Lertvittayakumjorn, Simon Hu, Chilie Tan, Hong Mi, Yadan Xu, Jun Xiao
2019	J	`jnl`	Hierarchical Decision and Control for Continuous Multitarget Problem: Policy Evaluation With Action Delay. IEEE Trans. Neural Networks Learn. Syst. Jiangcheng Zhu, Jun Zhu, Zhepei Wang, Shan Guo, Chao Xu
2019	J	`jnl`	Model error correction in data assimilation by integrating neural networks. Big Data Min. Anal. Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yike Guo
2019	J	`jnl`	Object detection and localization in 3D environment by fusing raw fisheye image and attitude data. J. Vis. Commun. Image Represent. Jun Zhu, Jiangcheng Zhu, Xudong Wan, Chao Wu, Chao Xu
2018	C	`conf`	Downside Hemisphere Object Detection and Localization of MAV by Fisheye Camera. ICARCV Jun Zhu, Jiangcheng Zhu, Xudong Wan, Chao Xu
2017	C	`conf`	Air-to-ground shepherd problem: An action-delay reinforcement learning approach. ACC Jiangcheng Zhu, Chao Xu
2016	—	`conf`	A testbed for aerial robots formation flight. ICIA Jun Zhu, Jiangcheng Zhu, Chao Xu