Publications/Reports

NMFAD:Neighbor-aware mask-filling attributed network anomaly detection.

Liang Xi*, Runze Li, Menghan Li, Dehua Miao,Ruidong Wang* Zygmunt J. Haas.

IEEE Transactions on Information Forensics and Security, 2024

paper

OpenFi:Open-set WiFi human sensing via virtual embedding confidence-aware.

Han Liu, Liang Xi*, Wei Wang, Fengbin Zhang*, Zygmunt J. Haas.

IEEE Transactions on Network Science and Engineering, 2024

paper

CoCo:Context correlation discrepancy for graph anomaly detection.

Ruidong Wang, Liang Xi*, Fengbin Zhang, Haoyi Fan Xu Yu*, Lei Liu, Shui Yu, Victor C. M. Leung.

IEEE Transactions on Knowledge and Data Engineering, 2024

paper / code

ExTAD:Embedding exchange inspired unsupervised time-series anomaly detection.

Han Liu, Liang Xi*, Minghao Gu, Sizhe Huang, Chaoyang Sheng, Fengbin Zhang.

IEEE Sensors Journal, 2024

paper

Adaptive spatio-temporal relation based transformer for traffic flow prediction.

Ruidong Wang, Liang Xi*, Jinlin Ye, Fengbin Zhang, Xu Yu*, Lingwei Xu.

IEEE Transactions on Vehicular Technology, 2024

paper

Bidirectional consistency with temporal-aware for semi-supervised time series classification.

Han Liu, Fengbin Zhang*, Xunhua Huang, Ruidong Wang, Liang Xi*

Neural Networks, 2024

paper

Adaptive-correlation-aware unsupervised deep learning for anomaly detection in cyber-physical systems

Liang Xi, Dehua Miao, Menghan Li, Ruidong Wang, Han Liu, Xunhua Huang

IEEE Transactions on Dependable and Secure Computing, 2023

paper

Appending-inspired multivariate time series association fusion for tool condition monitoring

Liang Xi, Wei Wang, Jingyi Chen, Xuefeng Wu

Journal of Intelligent Manufacturing, 2023

paper

Unsupervised multimodal domain adversarial network for time series classification

Liang Xi, Yujia Liang, Xunhua Huang, Han Liu, Ao Li

Information Sciences, 2023

paper

Unsupervised dimension-contribution-aware embeddings transformation for anomaly detection

Liang Xi, Chenchen Liang, Han Liu, Ao Li

Knowledge-Based Systems, 2023

paper / code

Graph-embedding-inspired article recommendation model

Liang Xi, Qiaodan Hu, Han Liu

Expert Systems with Applications, 2023

paper

Semi-supervised time series classification model with self-supervised learning

Liang Xi, Zichao Yun, Han Liu, Ruidong Wang, Xunhua Huang, Haoyi Fan

Engineering Applications of Artificial Intelligence, 2022

paper / code

Data-correlation-aware unsupervised deep-learning model for anomaly detection in cyber-physical systems

Liang Xi, Ruidong Wang, Zygmunt J. Haas

IEEE Internet of Things Journal, 2022

paper

Sample-correlation-aware unsupervised deep anomaly detection model (基于样本关联感知的无监督深度异常检测模型)

Liang Xi, Ruidong Wang, Haoyi Fan,Fengbin Zhang

Chinese Journal of Computers (计算机学报), 2021

paper

Multi-source-inspired immune detector generation and detection in neighborhood shape-space (邻域形态空间多源免疫检测器生成与检测)

Liang Xi, Zhiyu Yao, Fengbin Zhang

Journal of Software (软件学报), 2021

paper

Deep adversarial learning latent representation distribution model for anomaly detection (基于深度对抗学习潜在表示分布的异常检测模型)

Liang Xi, Han Liu, Haoyi Fan, Fengbin Zhang

Acta Electronica Sinica (电子学报), 2021

paper

Multisource neighborhood immune detector adaptive model for anomaly detection

Liang Xi, Zhiyu Yao, Fengbin Zhang

IEEE Transactions on Evolutionary Computation, 2021

paper

An adaptive artificial-fish-swarm-inspired fuzzy C-means algorithm

Liang Xi, Fengbin Zhang

Neural Computing and Applications, 2020

paper

CC-CSA:A culture&chaos-inspired clonal selection algorithm for abnormal detection

Liang Xi, Ruidong Wang, Fengbin Zhang, Yuezhongyi Sun

Journal of Intelligent & Fuzzy Systems, 2020

paper

Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection

Haoyi Fan, Fengbin Zhang, Ruidong Wang,Liang Xi, Zuoyong Li

The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD2020 (acceptance rate:21%)

paper

Anomaly detection algorithm based on FCM with adaptive artificial fish-swarm (基于自适应人工鱼群FCM的异常检测算法)

Liang Xi, Yong Wang, Fengbin Zhang

Journal of Computer Research and Development (计算机研究与发展), 2019

paper

Immune detector optimized generation algorithm based on locally linear embedding (基于局部线性嵌入的免疫检测器优化生成算法)

Liang Xi, Tao Jiang, Fengbin Zhang

Control and Decision (控制与决策), 2019

paper

LeukocyteMask:An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks

Haoyi Fan, Fengbin Zhang, Liang Xi, Zuoyong Li, Guanghai Liu, Yong Xu

Journal of biophotonics, 2019

paper

 

Projects