Xingxing Liang

According to our database, Xingxing Liang authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Reinforcement Learning: A Survey.

Xu Wang, Sen Wang, Xingxing Liang, Dawei Zhao, Jincai Huang, Xin Xu, Bin Dai, Qiguang Miao

IEEE Trans. Neural Networks Learn. Syst., April, 2024

ORAD: a new framework of offline Reinforcement Learning with Q-value regularization.

Longfei Zhang, Yulong Zhang, Shixuan Liu, Li Chen, Xingxing Liang, Guangquan Cheng, Zhong Liu

Evol. Intell., 2024

Group Distributionally Robust Optimization can Suppress Class Imbalance Effect in Network Traffic Classification.

Wumei Du, Qi Wang, Yiqin Lv, Dong Liang, Guanlin Wu, Xingxing Liang, Zheng Xie

CoRR, 2024

Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?

Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen

CoRR, 2024

2023

Two parameter generalized entropy of uncertain random variables and its application.

Xingxing Liang, Jinsheng Xie, Zhiqiang Miao, Yue Xu, Yanghe Feng

J. Ambient Intell. Humaniz. Comput., December, 2023

Online Intention Recognition With Incomplete Information Based on a Weighted Contrastive Predictive Coding Model in Wargame.

Li Chen, Xingxing Liang, Yanghe Feng, Longfei Zhang, Jing Yang, Zhong Liu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

2022

Graph autoencoder for directed weighted network.

Yang Ma, Yan Li, Xingxing Liang, Guangquan Cheng, Yanghe Feng, Zhong Liu

Soft Comput., 2022

Meta-path-based heterogeneous graph neural networks in academic network.

Xingxing Liang, Yang Ma, Guangquan Cheng, Changjun Fan, Yuling Yang, Zhong Liu

Int. J. Mach. Learn. Cybern., 2022

A graph neural networks-based deep Q-learning approach for job shop scheduling problems in traffic management.

Zeyi Liu, Yuan Wang, Xingxing Liang, Yang Ma, Yanghe Feng, Guangquan Cheng, Zhong Liu

Inf. Sci., 2022

2021

A Novel Adaptive Sampling Strategy for Deep Reinforcement Learning.

Xingxing Liang, Li Chen, Yanghe Feng, Zhong Liu, Yang Ma, Kuihua Huang

Int. J. Comput. Intell. Appl., 2021

PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay.

Xingxing Liang, Yang Ma, Yanghe Feng, Zhong Liu

CoRR, 2021

2020

Heterogeneous Graph Neural Networks Based on Meta-path.

Yang Ma, Guangquan Cheng, Xingxing Liang, Yuan Wang, Yuzhen Zhou

Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

Coordinating Multi-Agent Deep Reinforcement Learning in Wargame.

Yanghui Fu, Xingxing Liang, Yang Ma, Kuihua Huang, Yan Li

Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2018

VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control.

Xingxing Liang, Qi Wang, Yang-He Feng, Zhong Liu, Jincai Huang

CoRR, 2018

2017

Intercity Transportation Construction Based on Link Prediction.

Yang Ma, Xingxing Liang, Jincai Huang, Guangquan Cheng

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016

Link Prediction Based on Clustering Information in Scientific Coauthorship Networks.

Yang Ma, Guangquan Cheng, Zhong Liu, Xingxing Liang

Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016