Yuntao Liu - RankMe

24 papers A* 1A 3B 7Misc 2Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Framework for Modeling Cognitive Processes in Intelligent Agents Using Behavior Trees. CogSci Kejia Wan, Yuntao Liu, Hengzhu Liu, Xinhai Xu, Jinlong Tian, Xianglong Li, Hao Tang
2025	—	`conf`	M2PA: A Multi-Memory Planning Agent for Open Worlds Inspired by Cognitive Theory. ACL (Findings) Yanfang Zhou, Xiaodong Li, Yuntao Liu, Yongqiang Zhao, Xintong Wang, Zhenyu Li, Jinlong Tian, Xinhai Xu
2025	B	`conf`	Mental Model Alignment: Building Cognitive Interfaces for Explainable Reinforcement Learning. CogSci Kejia Wan, Yuntao Liu, Hengzhu Liu, Xinhai Xu, Hao Tang, Jinlong Tian, Xianglong Li
2025	—	`conf`	Metagent-P: A Neuro-Symbolic Planning Agent with Metacognition for Open Worlds. ACL (Findings) Yanfang Zhou, Yuntao Liu, Xiaodong Li, Yongqiang Zhao, Xintong Wang, Jinlong Tian, Zhenyu Li, Xinhai Xu
2024	J	`jnl`	Generative subgoal oriented multi-agent reinforcement learning through potential field. Neural Networks Shengze Li, Hao Jiang, Yuntao Liu, Jieyuan Zhang, Xinhai Xu, Donghong Liu
2024	Misc	`conf`	Unraveling Explainable Reinforcement Learning Using Behavior Tree Structures. ICASSP Kejia Wan, Yuntao Liu, Hengzhu Liu, Xinhai Xu
2022	J	`jnl`	A pipelining strategy for accelerating convolution neural networks on ARM CPUs. Concurr. Comput. Pract. Exp. Xin Zhou, Yong Dou, Rongchun Li, Peng Zhang, Yuntao Liu
2022	A	`conf`	Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning. CIKM Hao Jiang, Yuntao Liu, Shengze Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu
2022	A*	`conf`	Heterogeneous Skill Learning for Multi-agent Tasks. NeurIPS Yuntao Liu, Yuan Li, Xinhai Xu, Yong Dou, Donghong Liu
2022	B	`conf`	HierRL: Hierarchical Reinforcement Learning for Task Scheduling in Distributed Systems. IJCNN Yanxia Guan, Yuntao Liu, Yuan Li, Xinhai Xu
2022	J	`jnl`	Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification. Vis. Comput. Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li, Peng Qiao
2022	A	`conf`	ROGC: Role-Oriented Graph Convolution Based Multi-Agent Reinforcement Learning. ICME Yuntao Liu, Yuan Li, Xinhai Xu, Donghong Liu, Yong Dou
2022	B	`conf`	Temporal Dynamic Weighted Graph Convolution for Multi-agent Reinforcement Learning. CogSci Yuntao Liu, Yong Dou, Yuan Li, Xinhai Xu, Donghong Liu
2021	Misc	`conf`	Global-Localized Agent Graph Convolution for Multi-Agent Reinforcement Learning. ICASSP Yuntao Liu, Yong Dou, Siqi Shen, Peng Qiao
2021	—	`conf`	Learning Attentive Cooperation in Multi-agent Reinforcement Learning with Graph Convolutional Network. ICONIP (5) Yuqi Zhu, Yuntao Liu, Xinhai Xu, Yuan Li
2020	J	`jnl`	Beyond top- IET Comput. Vis. Yuntao Liu, Yong Dou, Peng Qiao
2020	B	`conf`	End-to-end Spatial Attention Network with Feature Mimicking for Head Detection. FG Junjie Zhang, Yuntao Liu, Rongchun Li, Yong Dou
2020	B	`conf`	Towards Precise End-to-end Semi-Supervised Human Head Detection Network. IJCNN Rongchun Li, Junjie Zhang, Yuntao Liu, Yong Dou
2019	—	`conf`	A Pipelining Strategy for Accelerating Convolutional Networks on ARM Processors. PAAP Xin Zhou, Rongchun Li, Peng Zhang, Yuntao Liu, Yong Dou
2019	—	`conf`	An Efficient Parallel Successive Cancellation List Polar Decoder Based on GPUs. ISPA/BDCloud/SocialCom/SustainCom Xin Zhou, Rongchun Li, Shijie Li, Yuntao Liu, Yong Dou
2019	J	`jnl`	Visual Confusion Label Tree For Image Classification. CoRR Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li
2019	J	`jnl`	Visual Tree Convolutional Neural Network in Image Classification. CoRR Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao
2018	A	`conf`	Visual Confusion Label Tree for Image Classification. ICME Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li
2018	B	`conf`	Visual Tree Convolutional Neural Network in Image Classification. ICPR Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao