Xingxing Liang

21 papers A* 1B 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Fuzzy K-means clustering with reconstructed information.
Int. J. Mach. Learn. Cybern.
Honglan Huang, Wei Shi, Fangjie Yang, Yanghe Feng, Longfei Zhang, Xingxing Liang, Jun Shi, Guangquan Cheng, Jincai Huang, Zhong Liu
2025 J jnl
Group & reweight: a novel cost-sensitive approach to mitigating class imbalance in network traffic classification.
Int. J. Mach. Learn. Cybern.
Wumei Du, Dong Liang, Yiqin Lv, Xingxing Liang, Guanlin Wu, Qi Wang, Zheng Xie
2025 J jnl
TrojanTO: Action-Level Backdoor Attacks against Trajectory Optimization Models.
CoRR
Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Xiaochun Cao, Shouling Ji, Jiaheng Zhang, Jin-Cai Huang, Li Shen
2024 J jnl
Deep Reinforcement Learning: A Survey.
IEEE Trans. Neural Networks Learn. Syst.
Xu Wang, Sen Wang, Xingxing Liang, Dawei Zhao, Jincai Huang, Xin Xu, Bin Dai, Qiguang Miao
2024 J jnl
Group Distributionally Robust Optimization can Suppress Class Imbalance Effect in Network Traffic Classification.
CoRR
Wumei Du, Qi Wang, Yiqin Lv, Dong Liang, Guanlin Wu, Xingxing Liang, Zheng Xie
2024 — conf
InPTR: Integration Prioritized Trajectory Replay.
DAI
Chendie Yao, Xingxing Liang, Longfei Zhang, Jincai Huang, Jun Lei, Yulong Zhang
2024 A* conf
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
NeurIPS
Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen
2024 J jnl
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
CoRR
Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen
2024 J jnl
ORAD: a new framework of offline Reinforcement Learning with Q-value regularization.
Evol. Intell.
Longfei Zhang, Yulong Zhang, Shixuan Liu, Li Chen, Xingxing Liang, Guangquan Cheng, Zhong Liu
2023 J jnl
Online Intention Recognition With Incomplete Information Based on a Weighted Contrastive Predictive Coding Model in Wargame.
IEEE Trans. Neural Networks Learn. Syst.
Li Chen, Xingxing Liang, Yanghe Feng, Longfei Zhang, Jing Yang, Zhong Liu
2023 J jnl
Two parameter generalized entropy of uncertain random variables and its application.
J. Ambient Intell. Humaniz. Comput.
Xingxing Liang, Jinsheng Xie, Zhiqiang Miao, Yue Xu, Yanghe Feng
2022 J jnl
A graph neural networks-based deep Q-learning approach for job shop scheduling problems in traffic management.
Inf. Sci.
Zeyi Liu, Yuan Wang, Xingxing Liang, Yang Ma, Yanghe Feng, Guangquan Cheng, Zhong Liu
2022 J jnl
Graph autoencoder for directed weighted network.
Soft Comput.
Yang Ma, Yan Li, Xingxing Liang, Guangquan Cheng, Yanghe Feng, Zhong Liu
2022 J jnl
Meta-path-based heterogeneous graph neural networks in academic network.
Int. J. Mach. Learn. Cybern.
Xingxing Liang, Yang Ma, Guangquan Cheng, Changjun Fan, Yuling Yang, Zhong Liu
2021 J jnl
A Novel Adaptive Sampling Strategy for Deep Reinforcement Learning.
Int. J. Comput. Intell. Appl.
Xingxing Liang, Li Chen, Yanghe Feng, Zhong Liu, Yang Ma, Kuihua Huang
2021 J jnl
PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay.
CoRR
Xingxing Liang, Yang Ma, Yanghe Feng, Zhong Liu
2020 — conf
Coordinating Multi-Agent Deep Reinforcement Learning in Wargame.
ACAI
Yanghui Fu, Xingxing Liang, Yang Ma, Kuihua Huang, Yan Li
2020 — conf
Heterogeneous Graph Neural Networks Based on Meta-path.
ACAI
Yang Ma, Guangquan Cheng, Xingxing Liang, Yuan Wang, Yuzhen Zhou
2018 J jnl
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control.
CoRR
Xingxing Liang, Qi Wang, Yang-He Feng, Zhong Liu, Jincai Huang
2017 B conf
Intercity Transportation Construction Based on Link Prediction.
ICTAI
Yang Ma, Xingxing Liang, Jincai Huang, Guangquan Cheng
2016 — conf
Link Prediction Based on Clustering Information in Scientific Coauthorship Networks.
DSC
Yang Ma, Guangquan Cheng, Zhong Liu, Xingxing Liang