Link Prediction Based on Clustering Information in Scientific Coauthorship Networks. - Yang Ma; Guangquan Cheng; Zhong Liu 002; Xingxing Liang (DSC, 2016)

Intercity Transportation Construction Based on Link Prediction. - Yang Ma; Xingxing Liang; Jincai Huang 001; Guangquan Cheng (ICTAI, 2017)

VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control. - Xingxing Liang; Qi Wang 005; Yang-He Feng; Zhong Liu 002; Jincai Huang 001 (CoRR, 2018)

Coordinating Multi-Agent Deep Reinforcement Learning in Wargame. - Yanghui Fu; Xingxing Liang; Yang Ma; Kuihua Huang; Yan Li 003 (ACAI, 2020)

Heterogeneous Graph Neural Networks Based on Meta-path. - Yang Ma; Guangquan Cheng; Xingxing Liang; Yuan Wang; Yuzhen Zhou (ACAI, 2020)

PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay. - Xingxing Liang; Yang Ma; Yanghe Feng; Zhong Liu 002 (CoRR, 2021)

A Novel Adaptive Sampling Strategy for Deep Reinforcement Learning. - Xingxing Liang; Li Chen 015; Yanghe Feng; Zhong Liu 002; Yang Ma; Kuihua Huang (Int. J. Comput. Intell. Appl., 2021)

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 002 (Inf. Sci., 2022)

Meta-path-based heterogeneous graph neural networks in academic network. - Xingxing Liang; Yang Ma; Guangquan Cheng; Changjun Fan; Yuling Yang; Zhong Liu 002 (Int. J. Mach. Learn. Cybern., 2022)

Graph autoencoder for directed weighted network. - Yang Ma; Yan Li 003; Xingxing Liang; Guangquan Cheng; Yanghe Feng; Zhong Liu 002 (Soft Comput., 2022)

Online Intention Recognition With Incomplete Information Based on a Weighted Contrastive Predictive Coding Model in Wargame. - Li Chen 015; Xingxing Liang; Yanghe Feng; Longfei Zhang; Jing Yang; Zhong Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 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., 2023)

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 001; Li Shen 008 (NeurIPS, 2024)

Group Distributionally Robust Optimization can Suppress Class Imbalance Effect in Network Traffic Classification. - Wumei Du; Qi Wang 005; Yiqin Lv; Dong Liang; Guanlin Wu; Xingxing Liang; Zheng Xie (CoRR, 2024)

ORAD: a new framework of offline Reinforcement Learning with Q-value regularization. - Longfei Zhang; Yulong Zhang; Shixuan Liu; Li Chen 015; Xingxing Liang; Guangquan Cheng; Zhong Liu 002 (Evol. Intell., 2024)

Deep Reinforcement Learning: A Survey. - Xu Wang 043; Sen Wang; Xingxing Liang; Dawei Zhao 003; Jincai Huang 001; Xin Xu 001; Bin Dai 001; Qiguang Miao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fuzzy K-means clustering with reconstructed information. - Honglan Huang; Wei Shi; Fangjie Yang; Yanghe Feng; Longfei Zhang; Xingxing Liang; Jun Shi; Guangquan Cheng; Jincai Huang 001; Zhong Liu 002 (Int. J. Mach. Learn. Cybern., 2025)

TrojanTO: Action-Level Backdoor Attacks against Trajectory Optimization Models. - Yang Dai; Oubo Ma; Longfei Zhang; Xingxing Liang; Xiaochun Cao; Shouling Ji; Jiaheng Zhang; Jin-Cai Huang 001; Li Shen 008 (CoRR, 2025)