Z. Pu

发表

Denoising human cardiac diffusion tensor magnetic resonance images using sparse representation combined with segmentation

P. Croisille, I. Magnin, W. Y. Liu, 2009, Physics in medicine and biology.

Time-varying formation tracking control for multi-UAV systems with nonsingular fast terminal sliding mode

J. Yi, Z. Pu, Tianyi Xiong, 2017, 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC).

Cross soliton and breather soliton for the (3+1)$(3+1)$-dimensional Yu–Toda–Sasa–Fukuyama equation

Z. Pu, Z. Pan, 2019, Advances in Difference Equations.

Characterizing player's playing styles based on Player Vectors for each playing position in the Chinese Football Super League

Z. Pu, Yixiong Cui, Yuesen Li, 2022, 2205.02731.

Quantifying the Effectiveness of Defensive Playing Styles in the Chinese Football Super League

Z. Pu, Yixiong Cui, Huanmin Ge, 2022, Frontiers in Psychology.

Characterizing player’s playing styles based on player vectors for each playing position in the Chinese Football Super League

Z. Pu, Yixiong Cui, Yuesen Li, 2022, Journal of sports sciences.

Lycium Barbarum Polysaccharides Regulate the Gut Microbiota To Modulate Metabolites in High Fat Diet-Induced Obese Rats

Jian-jun Yang, Z. Pu, Lu Yan, 2021 .

A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning

Z. Pu, Jianqiang Yi, Qing Fu, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach

Z. Pu, Jianqiang Yi, Qing Fu, 2022, ArXiv.

Hierarchical Cooperative Swarm Policy Learning with Role Emergence

Z. Liu, Z. Pu, Jianqiang Yi, 2021, 2021 IEEE Symposium Series on Computational Intelligence (SSCI).

Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments

Z. Pu, Jianqiang Yi, Tenghai Qiu, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication

Z. Pu, Jianqiang Yi, X. Ai, 2022, Nonlinear Dynamics.

Multi-Target Encirclement with Collision Avoidance via Deep Reinforcement Learning using Relational Graphs

Z. Pu, Jianqiang Yi, Zhen Liu, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation

Jianqiang Yi, Zhiqiang Pu, Huimu Wang, 2021, Algorithms.

A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation

Jianqiang Yi, Zhiqiang Pu, Zhen Liu, 2020, 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE).

Multi-agent Formation Control with Obstacles Avoidance under Restricted Communication through Graph Reinforcement Learning

J. Yi, Z. Pu, Zhen Liu, 2020 .

Protective Effects of Baicalin on Experimental Myocardial Infarction in Rats

Z. Pu, Shenglan Lin, Zhili Tang, 2018, Brazilian journal of cardiovascular surgery.

Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach

Xinlong Tao, Zhiqiang Pu, Jianqiang Yi, 2019, IEEE Transactions on Cybernetics.

Fixed-Time Sliding Mode Disturbance Observer-Based Nonsmooth Backstepping Control for Hypersonic Vehicles

Jianqiang Yi, Zhiqiang Pu, Xiangmin Tan, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Fixed-Time Control With Uncertainty and Measurement Noise Suppression for Hypersonic Vehicles via Augmented Sliding Mode Observers

Jianqiang Yi, Zhiqiang Pu, Jinlin Sun, 2020, IEEE Transactions on Industrial Informatics.

Formation Control With Collision Avoidance Through Deep Reinforcement Learning Using Model-Guided Demonstration

Zhiqiang Pu, Shiguang Wu, Zezhi Sui, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Adaptive Fuzzy Nonsmooth Backstepping Output-Feedback Control for Hypersonic Vehicles With Finite-Time Convergence

Jianqiang Yi, Zhiqiang Pu, Zhen Liu, 2020, IEEE Transactions on Fuzzy Systems.

Finite-Time Command-Filtered Composite Adaptive Neural Control of Uncertain Nonlinear Systems

Haibo He, Zhiqiang Pu, Jinlin Sun, 2020, IEEE Transactions on Cybernetics.

Deep-Reinforcement-Learning-Based Multitarget Coverage With Connectivity Guaranteed

Z. Pu, Jianqiang Yi, Tenghai Qiu, 2023, IEEE Transactions on Industrial Informatics.

A Class of Adaptive Extended State Observers for Nonlinear Disturbed Systems

Jianqiang Yi, Ruyi Yuan, Zhiqiang Pu, 2015, IEEE Transactions on Industrial Electronics.

Robust High Dynamic Range (HDR) Imaging with Complex Motion and Parallax

M. Salman Asif, Zhan Ma, Pu Zhiyuan, 2020, ACCV.

Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework

Z. Pu, Jianqiang Yi, Zhen Liu, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Active robust control of uncertainty and flexibility suppression for air-breathing hypersonic vehicles

Jianqiang Yi, Ruyi Yuan, Zhiqiang Pu, 2015 .

Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems With Time-Varying Constraints and Input Saturations

Jianqiang Yi, Zhiqiang Pu, Jinlin Sun, 2021, IEEE Transactions on Fuzzy Systems.

[Effects of scalp catgut embedding on SOD, NO, MDA in the rat with Parkinson's disease].

Z. Pu, S. Kou, Chun-Ying Hou, 2007, Zhongguo zhen jiu = Chinese acupuncture & moxibustion.

Learning Heterogeneous Agent Cooperation via Multiagent League Training

Z. Pu, Jianqiang Yi, Qing Fu, 2022, ArXiv.

A Distributed Hedonic Coalition Formation Method for Multi-agent Tasks

Z. Pu, Jianqiang Yi, Tenghai Qiu, 2022, 2022 IEEE Symposium Series on Computational Intelligence (SSCI).

Multi-omics data reveals the disturbance of glycerophospholipid metabolism and linoleic acid metabolism caused by disordered gut microbiota in PM2.5 gastrointestinal exposed rats.

Z. Pu, Jianjun Yang, Yan-nan Zhang, 2023, Ecotoxicology and environmental safety.

Causal Mean Field Multi-Agent Reinforcement Learning

Bo Liu, Hao Ma, Junlong Gao, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems

Z. Pu, Jianqiang Yi, Zhen Liu, 2023, IEEE Transactions on Emerging Topics in Computational Intelligence.

Multi-Agent Local Information Reconstruction for Situational Cognition

Z. Pu, Jianqiang Yi, Tenghai Qiu, 2022, IEEE International Joint Conference on Neural Network.

Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning

Z. Pu, Jianqiang Yi, Zhen Liu, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems

Z. Pu, Jianqiang Yi, Qing Fu, 2022, AAAI.

A Hybrid Formation Control Design for Multi-Robot System with Obstacle Avoidance

Jianqiang Yi, Zhiqiang Pu, Shiguang Wu, 2019, 2019 Chinese Control Conference (CCC).

Robot Navigation among External Autonomous Agents through Deep Reinforcement Learning using Graph Attention Network

J. Yi, Z. Pu, Zhen Liu, 2020 .

Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy

Zhen Liu, Zhiqiang Pu, Tianle Zhang, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Formation Control with Collision Avoidance through Deep Reinforcement Learning

Jianqiang Yi, Zhiqiang Pu, Tianyi Xiong, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Adaptive control of hypersonic vehicles based on characteristic models with fuzzy neural network estimators

Tiantian Jiang, Zhiqiang Pu, Yafei Chang, 2017 .

On the Principle and Applications of Conditional Disturbance Negation

Zhiqiang Pu, Jinlin Sun, Jianqiang Yi, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Conditional disturbance negation based active disturbance rejection control for hypersonic vehicles

Jianqiang Yi, Zhiqiang Pu, Jinlin Sun, 2019, Control Engineering Practice.

Fixed‐time observer based adaptive neural network time‐varying formation tracking control for multi‐agent systems via minimal learning parameter approach

Xinlong Tao, Zhiqiang Pu, Tianyi Xiong, 2020, IET Control Theory & Applications.

Multi-UAV Cooperative Short-Range Combat via Attention-Based Reinforcement Learning using Individual Reward Shaping

Ruiguang Hu, Z. Pu, Jianqiang Yi, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Robot Subgoal-guided Navigation in Dynamic Crowded Environments with Hierarchical Deep Reinforcement Learning

Z. Pu, Jianqiang Yi, Zhen Liu, 2023, International Journal of Control, Automation and Systems.

Optimal UAVs formation transformation strategy based on task assignment and Particle Swarm Optimization

Jianqiang Yi, Zhiqiang Pu, Zezhi Sui, 2017, 2017 IEEE International Conference on Mechatronics and Automation (ICMA).

Path Planning of Multiagent Constrained Formation through Deep Reinforcement Learning

Jianqiang Yi, Zhiqiang Pu, Xiangmin Tan, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Adaptive Flocking of Multi-Agent Systems with Uncertain Nonlinear Dynamics and Unknown Disturbances Using Neural Networks*

Jianqiang Yi, Zhiqiang Pu, Shiguang Wu, 2020, 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE).

Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning

Z. Pu, Jianqiang Yi, Qing Fu, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Adaptive Fuzzy Appointed-Time Control for Uncertain Systems Bounded by Positive Functions

Shihong Ding, Z. Pu, Jianqiang Yi, 2023, IEEE Transactions on Circuits and Systems II: Express Briefs.

Attention Enhanced Reinforcement Learning for Multi agent Cooperation

Z. Liu, Z. Pu, Jianqiang Yi, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning

Bo Liu, Z. Pu, Jianqiang Yi, 2023, ICML.

A Deep Reinforcement Learning Approach Combined With Model-Based Paradigms for Multiagent Formation Control With Collision Avoidance

Z. Pu, Jianqiang Yi, Tenghai Qiu, 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Multi-agent Cooperation and Competition with Two-Level Attention Network

Jianqiang Yi, Zhiqiang Pu, Shiguang Wu, 2020, ICONIP.

Peer Incentive Reinforcement Learning for Cooperative Multiagent Games

Z. Pu, Jianqiang Yi, Zhen Liu, 2023, IEEE Transactions on Games.

Uncertainty analysis and robust trajectory linearization control of a flexible air-breathing hypersonic vehicle

Jianqiang Yi, Guoliang Fan, Zhiqiang Pu, 2014 .

An Integrated Approach to Hypersonic Entry Attitude Control

Ruyi Yuan, Zhiqiang Pu, Jianqiang Yi, 2014, Int. J. Autom. Comput..

Time-varying formation finite-time tracking control for multi-UAV systems under jointly connected topologies

Jianqiang Yi, Zhiqiang Pu, Tianyi Xiong, 2017, Int. J. Intell. Comput. Cybern..

Heterogeneous-graph Attention Reinforcement Learning for Football Matches

Z. Pu, Jianqiang Yi, Yanyan Liang, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation

Bo Liu, Z. Pu, Jianqiang Yi, 2023, IEEE Transactions on Games.

Hierarchical Cooperative Swarm Policy Learning with Role Emergence

Z. Liu, Z. Pu, Jianqiang Yi, 2021, IEEE Symposium Series on Computational Intelligence.

Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach

Z. Pu, Jianqiang Yi, Qing Fu, 2022, ArXiv.

Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems

Z. Pu, Jianqiang Yi, Qing Fu, 2022, AAAI.

Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments

Z. Pu, Jianqiang Yi, Tenghai Qiu, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).