Shantian Yang

According to our database, Shantian Yang authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Deep reinforcement learning for portfolio management.

Shantian Yang

Knowl. Based Syst., October, 2023

Hierarchical graph multi-agent reinforcement learning for traffic signal control.

Shantian Yang

Inf. Sci., July, 2023

Causal inference multi-agent reinforcement learning for traffic signal control.

Shantian Yang, Bo Yang, Zheng Zeng, Zhongfeng Kang

Inf. Fusion, June, 2023

2022

An inductive heterogeneous graph attention-based multi-agent deep graph infomax algorithm for adaptive traffic signal control.

Shantian Yang, Bo Yang

Inf. Fusion, 2022

A buffered online transfer learning algorithm with multi-layer network.

Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang

Neurocomputing, 2022

2021

IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control.

Shantian Yang, Bo Yang, Zhongfeng Kang, Lihui Deng

Neural Networks, 2021

A noisy label and negative sample robust loss function for DNN-based distant supervised relation extraction.

Lihui Deng, Bo Yang, Zhongfeng Kang, Shantian Yang, Shihu Wu

Neural Networks, 2021

A semi-decentralized feudal multi-agent learned-goal algorithm for multi-intersection traffic signal control.

Shantian Yang, Bo Yang

Knowl. Based Syst., 2021

A Meta Multi-agent Reinforcement Learning Algorithm for Multi-intersection Traffic Signal Control.

Shantian Yang, Bo Yang

Proceedings of the IEEE Intl Conf on Dependable, 2021

2020

Online transfer learning with multiple source domains for multi-class classification.

Zhongfeng Kang, Bo Yang, Shantian Yang, Xiaomei Fang, Changjian Zhao

Knowl. Based Syst., 2020

2019

Cooperative traffic signal control using Multi-step return and Off-policy Asynchronous Advantage Actor-Critic Graph algorithm.

Shantian Yang, Bo Yang, Hau-San Wong, Zhongfeng Kang

Knowl. Based Syst., 2019