Visual Confusion Label Tree for Image Classification. - Yuntao Liu 004; Yong Dou; Ruochun Jin; Rongchun Li (ICME, 2018)

Visual Tree Convolutional Neural Network in Image Classification. - Yuntao Liu 004; Yong Dou; Ruochun Jin; Peng Qiao (ICPR, 2018)

An Efficient Parallel Successive Cancellation List Polar Decoder Based on GPUs. - Xin Zhou; Rongchun Li; Shijie Li; Yuntao Liu 004; Yong Dou (ISPA/BDCloud/SocialCom/SustainCom, 2019)

A Pipelining Strategy for Accelerating Convolutional Networks on ARM Processors. - Xin Zhou; Rongchun Li; Peng Zhang 035; Yuntao Liu 004; Yong Dou (PAAP, 2019)

End-to-end Spatial Attention Network with Feature Mimicking for Head Detection. - Junjie Zhang; Yuntao Liu 004; Rongchun Li; Yong Dou (FG, 2020)

Towards Precise End-to-end Semi-Supervised Human Head Detection Network. - Rongchun Li; Junjie Zhang; Yuntao Liu 004; Yong Dou (IJCNN, 2020)

Beyond top-N accuracy indicator: a comprehensive evaluation indicator of CNN models in image classification. - Yuntao Liu 004; Yong Dou; Peng Qiao (IET Comput. Vis., 2020)

Global-Localized Agent Graph Convolution for Multi-Agent Reinforcement Learning. - Yuntao Liu 004; Yong Dou; Siqi Shen; Peng Qiao (ICASSP, 2021)

Learning Attentive Cooperation in Multi-agent Reinforcement Learning with Graph Convolutional Network. - Yuqi Zhu; Yuntao Liu 004; Xinhai Xu; Yuan Li 011 (ICONIP (5), 2021)

Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning. - Hao Jiang 035; Yuntao Liu 004; Shengze Li; Jieyuan Zhang; Xinhai Xu; Donghong Liu (CIKM, 2022)

Temporal Dynamic Weighted Graph Convolution for Multi-agent Reinforcement Learning. - Yuntao Liu 004; Yong Dou; Yuan Li 011; Xinhai Xu; Donghong Liu (CogSci, 2022)

ROGC: Role-Oriented Graph Convolution Based Multi-Agent Reinforcement Learning. - Yuntao Liu 004; Yuan Li 011; Xinhai Xu; Donghong Liu; Yong Dou (ICME, 2022)

HierRL: Hierarchical Reinforcement Learning for Task Scheduling in Distributed Systems. - Yanxia Guan; Yuntao Liu 004; Yuan Li 011; Xinhai Xu (IJCNN, 2022)

Heterogeneous Skill Learning for Multi-agent Tasks. - Yuntao Liu 004; Yuan Li 011; Xinhai Xu; Yong Dou; Donghong Liu (NeurIPS, 2022)

A pipelining strategy for accelerating convolution neural networks on ARM CPUs. - Xin Zhou; Yong Dou; Rongchun Li; Peng Zhang 035; Yuntao Liu 004 (Concurr. Comput. Pract. Exp., 2022)

Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification. - Yuntao Liu 004; Yong Dou; Ruochun Jin; Rongchun Li; Peng Qiao (Vis. Comput., 2022)

Unraveling Explainable Reinforcement Learning Using Behavior Tree Structures. - Kejia Wan; Yuntao Liu 004; Hengzhu Liu; Xinhai Xu (ICASSP, 2024)

Generative subgoal oriented multi-agent reinforcement learning through potential field. - Shengze Li; Hao Jiang 035; Yuntao Liu 004; Jieyuan Zhang; Xinhai Xu; Donghong Liu (Neural Networks, 2024)

Metagent-P: A Neuro-Symbolic Planning Agent with Metacognition for Open Worlds. - Yanfang Zhou; Yuntao Liu 004; Xiaodong Li; Yongqiang Zhao; Xintong Wang; Jinlong Tian; Zhenyu Li; Xinhai Xu (ACL (Findings), 2025)