Yuntao Liu

End-to-end Spatial Attention Network with Feature Mimicking for Head Detection

Y. Dou, Junjie Zhang, Yuntao Liu, 2020, 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020).

ROGC: Role-Oriented Graph Convolution Based Multi-Agent Reinforcement Learning

Yuntao Liu, Donghong Liu, Yong Dou, 2022, 2022 IEEE International Conference on Multimedia and Expo (ICME).

Towards Precise End-to-end Semi-Supervised Human Head Detection Network

Junjie Zhang, Rongchun Li, Yuntao Liu, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning

Yuntao Liu, Donghong Liu, Hao Jiang, 2022, International Conference on Information and Knowledge Management.

Global-Localized Agent Graph Convolution for Multi-Agent Reinforcement Learning

Yong Dou, Peng Qiao, Siqi Shen, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

HierRL: Hierarchical Reinforcement Learning for Task Scheduling in Distributed Systems

Yuntao Liu, Yuan Li, Xinhai Xu, 2022, IEEE International Joint Conference on Neural Network.

A pipelining strategy for accelerating convolution neural networks on ARM CPUs

Yong Dou, Yuntao Liu, Peng Zhang, 2021, Concurr. Comput. Pract. Exp..

A Pipelining Strategy for Accelerating Convolutional Networks on ARM Processors

Xin Zhou, Rongchun Li, Yong Dou, 2019, PAAP.

Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification

Yong Dou, Ruochun Jin, Peng Qiao, 2021, The Visual Computer.

Heterogeneous Skill Learning for Multi-agent Tasks

Yuntao Liu, Donghong Liu, Yuan Li, 2022, NeurIPS.

Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning

Yuntao Liu, Donghong Liu, Hao Jiang, 2022, CIKM.