A testbed for aerial robots formation flight. - Jun Zhu; Jiangcheng Zhu; Chao Xu (ICIA, 2016)

Air-to-ground shepherd problem: An action-delay reinforcement learning approach. - Jiangcheng Zhu; Chao Xu 001 (ACC, 2017)

Downside Hemisphere Object Detection and Localization of MAV by Fisheye Camera. - Jun Zhu; Jiangcheng Zhu; Xudong Wan; Chao Xu 001 (ICARCV, 2018)

Exploratory Analysis for Big Social Data Using Deep Network. - Chao Wu 001; Guolong Wang 002; Jiangcheng Zhu; Piyawat Lertvittayakumjorn; Simon Hu 001; Chilie Tan; Hong Mi; Yadan Xu; Jun Xiao 001 (IEEE Access, 2019)

Model error correction in data assimilation by integrating neural networks. - Jiangcheng Zhu; Shuang Hu; Rossella Arcucci; Chao Xu 001; Jihong Zhu 001; Yike Guo (Big Data Min. Anal., 2019)

Object detection and localization in 3D environment by fusing raw fisheye image and attitude data. - Jun Zhu; Jiangcheng Zhu; Xudong Wan; Chao Wu; Chao Xu 001 (J. Vis. Commun. Image Represent., 2019)

Hierarchical Decision and Control for Continuous Multitarget Problem: Policy Evaluation With Action Delay. - Jiangcheng Zhu; Jun Zhu; Zhepei Wang; Shan Guo; Chao Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention. - Yunkun Xu; Zhenyu Liu 005; Guifang Duan; Jiangcheng Zhu; Xiaolong Bai; Jianrong Tan (CoRL, 2021)

Learning to Shape Rewards using a Game of Switching Controls. - David Mguni; Jianhong Wang; Taher Jafferjee; Nicolas Perez Nieves; Wenbin Song; Yaodong Yang 001; Feifei Tong; Hui Chen; Jiangcheng Zhu; Yali Du 001; Jun Wang 012 (CoRR, 2021)

An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud. - Liang Hu; Jiangcheng Zhu; Zirui Zhou; Ruiqing Cheng; Xiaolong Bai; Yong Zhang 004 (CoRR, 2021)

LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. - David Henry Mguni; Taher Jafferjee; Jianhong Wang; Nicolas Perez Nieves; Oliver Slumbers; Feifei Tong; Yang Li 116; Jiangcheng Zhu; Yaodong Yang 001; Jun Wang 012 (ICLR, 2022)

LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning. - Mingyu Yang; Jian Zhao 018; Xunhan Hu; Wengang Zhou 001; Jiangcheng Zhu; Houqiang Li (NeurIPS, 2022)

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization. - Jian Zhao 018; Yue Zhang; Xunhan Hu; Weixun Wang; Wengang Zhou 001; Jianye Hao; Jiangcheng Zhu; Houqiang Li (CoRR, 2022)

CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning. - Jian Zhao 018; Xunhan Hu; Mingyu Yang; Wengang Zhou 001; Jiangcheng Zhu; Houqiang Li (CoRR, 2022)

Learning to Shape Rewards Using a Game of Two Partners. - 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; et al. (AAAI, 2023)

Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. - Jiajun Fan; Yuzheng Zhuang; Yuecheng Liu; Jianye Hao; Bin Wang 034; Jiangcheng Zhu; Hao Wang 049; Shu-Tao Xia (ICLR, 2023)

JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. - Yang Li 116; Kun Xiong; Yingping Zhang; Jiangcheng Zhu; Stephen Marcus McAleer; Wei Pan 004; Jun Wang 012; Zonghong Dai; Yaodong Yang 001 (Trans. Mach. Learn. Res., 2023)

ASN: action semantics network for multiagent reinforcement learning. - Tianpei Yang; Weixun Wang; Jianye Hao; Matthew E. Taylor; Yong Liu 007; Xiaotian Hao; Yujing Hu; Yingfeng Chen; Changjie Fan; Chunxu Ren; Ye Huang; Jiangcheng Zhu; et al. (Auton. Agents Multi Agent Syst., 2023)

Yi: Open Foundation Models by 01.AI. - Alex Young; Bei Chen; Chao Li; Chengen Huang; Ge Zhang 009; Guanwei Zhang; Heng Li; Jiangcheng Zhu; Jianqun Chen; Jing Chang; Kaidong Yu; Peng Liu; et al. (CoRR, 2024)

Zero-Indexing Internet Search Augmented Generation for Large Language Models. - Guangxin He; Zonghong Dai; Jiangcheng Zhu; Binqiang Zhao; Chenyue Li; You Peng; Chen Wang; Binhang Yuan (CoRR, 2024)

Yi-Lightning Technical Report. - 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; et al. (CoRR, 2024)

CTDS: Centralized Teacher With Decentralized Student for Multiagent Reinforcement Learning. - Jian Zhao 018; Xunhan Hu; Mingyu Yang; Wengang Zhou 001; Jiangcheng Zhu; Houqiang Li (IEEE Trans. Games, 2024)

An Empirical Study on Google Research Football Multi-agent Scenarios. - Yan Song 003; He Jiang; Zheng Tian 002; Haifeng Zhang 002; Yingping Zhang; Jiangcheng Zhu; Zonghong Dai; Weinan Zhang 001; Jun Wang 012 (Mach. Intell. Res., 2024)

Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. - Yang Li 116; Fanglei Sun; Jingchen Hu; Chang Liu; Fan Wu 006; Kai Li 022; Ying Wen 001; Zheng Tian 002; Yaodong Yang 001; Jiangcheng Zhu; Zhifeng Chen; Jun Wang 012; et al. (IEEE Trans. Mob. Comput., 2024)