Optimization of Real-Valued Self Set for Anomaly Detection Using Gaussian Distribution. - Liang Xi; Fengbin Zhang; Dawei Wang (AICI, 2009)

Evolving boundary detector for anomaly detection. - Dawei Wang; Fengbin Zhang; Liang Xi (Expert Syst. Appl., 2011)

Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection. - Haoyi Fan; Fengbin Zhang; Ruidong Wang; Liang Xi; Zuoyong Li (PAKDD (2), 2020)

CC-CSA: A culture&chaos-inspired clonal selection algorithm for abnormal detection. - Liang Xi; Ruidong Wang; Fengbin Zhang; Yuezhongyi Sun (J. Intell. Fuzzy Syst., 2020)

An adaptive artificial-fish-swarm-inspired fuzzy C-means algorithm. - Liang Xi; Fengbin Zhang (Neural Comput. Appl., 2020)

Total Ozone Columns from the Environmental Trace Gases Monitoring Instrument (EMI) Using the DOAS Method. - Yuanyuan Qian; Yuhan Luo; Fuqi Si; Haijin Zhou; Taiping Yang; Dongshang Yang; Liang Xi (Remote. Sens., 2021)

Multisource Neighborhood Immune Detector Adaptive Model for Anomaly Detection. - Liang Xi; Ruidong Wang; Zhi-Yu Yao; Fengbin Zhang (IEEE Trans. Evol. Comput., 2021)

Landslide Detection of 6G Satellite Images Using Multi-level Transformer Network. - Dong He; Liang Xi; Lu Liu (6GN (1), 2022)

6G Network Traffic Intrusion Detection Using Multiresolution Auto-encoder and Feature Matching Discriminator. - Yuhai Li; Yuxin Sun; Dong He; Liang Xi (6GN (1), 2022)

Classification of Deforestation Factors in 6G Satellite Forest Images. - Yuhai Li; Yuxin Sun; Xianglong Meng; Liang Xi (6GN (1), 2022)

A Semi-supervised Classification Method for 6G Remote Sensing Images Based on Pseudo-label and False Representation Recognition. - Xianglong Meng; Liang Xi; Lu Liu (6GN (2), 2022)

Semi-supervised Time Series Classification Model with Self-supervised Learning. - Liang Xi; Zichao Yun; Han Liu; Ruidong Wang; Xunhua Huang; Haoyi Fan (Eng. Appl. Artif. Intell., 2022)

Data-Correlation-Aware Unsupervised Deep-Learning Model for Anomaly Detection in Cyber-Physical Systems. - Liang Xi; Ruidong Wang; Zygmunt J. Haas (IEEE Internet Things J., 2022)

Verifiable Delay Function and Its Blockchain-Related Application: A Survey. - Qiang Wu; Liang Xi; Shiren Wang; Shan Ji; Shenqing Wang; Yongjun Ren (Sensors, 2022)

Graph-embedding-inspired article recommendation model. - Liang Xi; Qiaodan Hu; Han Liu (Expert Syst. Appl., 2023)

Unsupervised dimension-contribution-aware embeddings transformation for anomaly detection. - Liang Xi; Chenchen Liang; Han Liu; Ao Li (Knowl. Based Syst., 2023)

First Retrieval of Total Ozone Columns from EMI-2 Using the DOAS Method. - Yuanyuan Qian; Yuhan Luo; Haijin Zhou; Taiping Yang; Liang Xi; Fuqi Si (Remote. Sens., 2023)

Unsupervised multimodal domain adversarial network for time series classification. - Liang Xi; Yujia Liang; Xunhua Huang; Han Liu; Ao Li (Inf. Sci., 2023)

Bidirectional consistency with temporal-aware for semi-supervised time series classification. - Han Liu; Fengbin Zhang; Xunhua Huang; Ruidong Wang; Liang Xi (Neural Networks, 2024)

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 Trans. Dependable Secur. Comput., 2024)

CaCo: Attributed Network Anomaly Detection via Canonical Correlation Analysis. - Ruidong Wang; Fengbin Zhang; Xunhua Huang; Chongrui Tian; Liang Xi; Haoyi Fan (IEEE Trans. Ind. Informatics, 2024)

High-Resolution Nitrogen Dioxide Measurements from an Airborne Fiber Imaging Spectrometer over Tangshan, China. - Xiaoli Zhang; Liang Xi; Haijin Zhou; Wei Wang; Zhen Chang; Fuqi Si; Yu Wang (Remote. Sens., 2024)

Dual-AutoEncoder & Bipartite Graph Embedding for article recommendation. - Liang Xi; Dong He; Xianglong Meng; Qiaodan Hu (Soft Comput., 2024)

Appending-inspired multivariate time series association fusion for tool condition monitoring. - Liang Xi; Wei Wang; Jingyi Chen; Xuefeng Wu (J. Intell. Manuf., 2024)

PRAAD: Pseudo representation adversarial learning for unsupervised anomaly detection. - Liang Xi; Dong He; Han Liu (J. Inf. Secur. Appl., 2025)

MGTC: Multi-Granularity Temporal Aware Time Series Classification. - Liang Xi; Wei Wang; Han Liu; Jingqi Pan (IEEE Trans Autom. Sci. Eng., 2025)

NMFAD: Neighbor-Aware Mask-Filling Attributed Network Anomaly Detection. - Liang Xi; Runze Li; Menghan Li; Dehua Miao; Ruidong Wang; Zygmunt J. Haas (IEEE Trans. Inf. Forensics Secur., 2025)

OpenFi: Open-Set WiFi Human Sensing via Virtual Embedding Confidence-Aware. - Han Liu; Liang Xi; Wei Wang; Fengbin Zhang; Zygmunt J. Haas (IEEE Trans. Netw. Sci. Eng., 2025)

Joint Time-Frequency Pseudo Anomalies for Multimodal Electrocardiogram Quality Assessment in Healthcare Service Computing. - Xunhua Huang; Liang Xi; Haoyi Fan; Fengbin Zhang; Xu Yu 001; Lei Liu 031; Mianxiong Dong; Mohsen Guizani (IEEE Trans. Serv. Comput., 2025)

Context Correlation Discrepancy Analysis for Graph Anomaly Detection. - Ruidong Wang; Liang Xi; Fengbin Zhang; Haoyi Fan; Xu Yu 001; Lei Liu 031; Shui Yu 001; Victor C. M. Leung (IEEE Trans. Knowl. Data Eng., 2025)

Adaptive Spatio-Temporal Relation Based Transformer for Traffic Flow Prediction. - Ruidong Wang; Liang Xi; Jinlin Ye; Fengbin Zhang; Xu Yu 001; Lingwei Xu (IEEE Trans. Veh. Technol., 2025)

Input and Output Matter: Malicious Traffic Detection With Explainability. - Wanshuang Lin; Chunhe Xia; Tianbo Wang; Yuan Zhao; Liang Xi; Song Zhang (IEEE Netw., 2025)

TFFC: time-frequency fusion consistency for semi-supervised time series classification. - Liang Xi; Xianglong Meng; Han Liu (Appl. Intell., 2025)