Xingxing Liang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Job Shop Scheduling

Conditional Distributions

Random Variables

Reinforcement Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? CoRR (2024)
Longfei Zhang, Yulong Zhang, Shixuan Liu, Li Chen, Xingxing Liang, Guangquan Cheng, Zhong Liu
ORAD: a new framework of offline Reinforcement Learning with Q-value regularization. Evol. Intell. 17 (1) (2024)
Xu Wang, Sen Wang, Xingxing Liang, Dawei Zhao, Jincai Huang, Xin Xu, Bin Dai, Qiguang Miao
Deep Reinforcement Learning: A Survey. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Xingxing Liang, Jinsheng Xie, Zhiqiang Miao, Yue Xu, Yanghe Feng
Two parameter generalized entropy of uncertain random variables and its application. J. Ambient Intell. Humaniz. Comput. 14 (12) (2023)
Li Chen, Xingxing Liang, Yanghe Feng, Longfei Zhang, Jing Yang, Zhong Liu
Online Intention Recognition With Incomplete Information Based on a Weighted Contrastive Predictive Coding Model in Wargame. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Zeyi Liu, Yuan Wang, Xingxing Liang, Yang Ma, Yanghe Feng, Guangquan Cheng, Zhong Liu
A graph neural networks-based deep Q-learning approach for job shop scheduling problems in traffic management. Inf. Sci. 607 (2022)
Xingxing Liang, Yang Ma, Guangquan Cheng, Changjun Fan, Yuling Yang, Zhong Liu
Meta-path-based heterogeneous graph neural networks in academic network. Int. J. Mach. Learn. Cybern. 13 (6) (2022)
Yang Ma, Yan Li, Xingxing Liang, Guangquan Cheng, Yanghe Feng, Zhong Liu
Graph autoencoder for directed weighted network. Soft Comput. 26 (3) (2022)
Xingxing Liang, Yang Ma, Yanghe Feng, Zhong Liu
PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay. CoRR (2021)
Xingxing Liang, Li Chen, Yanghe Feng, Zhong Liu, Yang Ma, Kuihua Huang
A Novel Adaptive Sampling Strategy for Deep Reinforcement Learning. Int. J. Comput. Intell. Appl. 20 (2) (2021)
Yang Ma, Guangquan Cheng, Xingxing Liang, Yuan Wang, Yuzhen Zhou
Heterogeneous Graph Neural Networks Based on Meta-path. ACAI (2020)
Yanghui Fu, Xingxing Liang, Yang Ma, Kuihua Huang, Yan Li
Coordinating Multi-Agent Deep Reinforcement Learning in Wargame. ACAI (2020)
Xingxing Liang, Qi Wang, Yang-He Feng, Zhong Liu, Jincai Huang
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control. CoRR (2018)
Yang Ma, Xingxing Liang, Jincai Huang, Guangquan Cheng
Intercity Transportation Construction Based on Link Prediction. ICTAI (2017)
Yang Ma, Guangquan Cheng, Zhong Liu, Xingxing Liang
Link Prediction Based on Clustering Information in Scientific Coauthorship Networks. DSC (2016)