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2020 – today
- 2024
[j18]Liang Xi
, Wei Wang, Jingyi Chen, Xuefeng Wu:
Appending-inspired multivariate time series association fusion for tool condition monitoring. J. Intell. Manuf. 35(7): 3259-3272 (2024)- [j17]Han Liu, Fengbin Zhang, Xunhua Huang, Ruidong Wang, Liang Xi:
Bidirectional consistency with temporal-aware for semi-supervised time series classification. Neural Networks 180: 106709 (2024) - [j16]Xiaoli Zhang, Liang Xi, Haijin Zhou, Wei Wang, Zhen Chang, Fuqi Si, Yu Wang:
High-Resolution Nitrogen Dioxide Measurements from an Airborne Fiber Imaging Spectrometer over Tangshan, China. Remote. Sens. 16(6): 1042 (2024) - [j15]Liang Xi, Dong He, Xianglong Meng, Qiaodan Hu:
Dual-AutoEncoder & Bipartite Graph Embedding for article recommendation. Soft Comput. 28(13-14): 7791-7806 (2024) - [j14]Liang Xi, Dehua Miao, Menghan Li, Ruidong Wang, Han Liu, Xunhua Huang:
Adaptive-Correlation-Aware Unsupervised Deep Learning for Anomaly Detection in Cyber-Physical Systems. IEEE Trans. Dependable Secur. Comput. 21(4): 2888-2899 (2024) - [j13]Ruidong Wang, Fengbin Zhang, Xunhua Huang, Chongrui Tian, Liang Xi, Haoyi Fan:
CaCo: Attributed Network Anomaly Detection via Canonical Correlation Analysis. IEEE Trans. Ind. Informatics 20(1): 461-470 (2024) - 2023
- [j12]Liang Xi, Qiaodan Hu, Han Liu:
Graph-embedding-inspired article recommendation model. Expert Syst. Appl. 214: 119100 (2023) - [j11]Liang Xi, Yujia Liang, Xunhua Huang, Han Liu, Ao Li:
Unsupervised multimodal domain adversarial network for time series classification. Inf. Sci. 624: 147-164 (2023) - [j10]Liang Xi, Chenchen Liang, Han Liu, Ao Li:
Unsupervised dimension-contribution-aware embeddings transformation for anomaly detection. Knowl. Based Syst. 262: 110209 (2023) - [j9]Yuanyuan Qian, Yuhan Luo, Haijin Zhou, Taiping Yang, Liang Xi, Fuqi Si:
First Retrieval of Total Ozone Columns from EMI-2 Using the DOAS Method. Remote. Sens. 15(6): 1665 (2023) - [e2]Ao Li, Yao Shi, Liang Xi:
6GN for Future Wireless Networks - 5th EAI International Conference, 6GN 2022, Harbin, China, December 17-18, 2022, Proceedings, Part I. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 504, Springer 2023, ISBN 978-3-031-36010-7 [contents] - [e1]Ao Li, Yao Shi, Liang Xi:
6GN for Future Wireless Networks - 5th EAI International Conference, 6GN 2022, Harbin, China, December 17-18, 2022, Proceedings, Part II. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 505, Springer 2023, ISBN 978-3-031-36013-8 [contents] - 2022
- [j8]Liang Xi, Zichao Yun, Han Liu, Ruidong Wang, Xunhua Huang, Haoyi Fan:
Semi-supervised Time Series Classification Model with Self-supervised Learning. Eng. Appl. Artif. Intell. 116: 105331 (2022) - [j7]Liang Xi, Ruidong Wang, Zygmunt J. Haas:
Data-Correlation-Aware Unsupervised Deep-Learning Model for Anomaly Detection in Cyber-Physical Systems. IEEE Internet Things J. 9(22): 22410-22421 (2022) - [j6]Qiang Wu, Liang Xi, Shiren Wang, Shan Ji, Shenqing Wang, Yongjun Ren:
Verifiable Delay Function and Its Blockchain-Related Application: A Survey. Sensors 22(19): 7524 (2022) - [c6]Xianglong Meng, Liang Xi, Lu Liu:
A Semi-supervised Classification Method for 6G Remote Sensing Images Based on Pseudo-label and False Representation Recognition. 6GN (2) 2022: 20-31 - [c5]Dong He, Liang Xi, Lu Liu:
Landslide Detection of 6G Satellite Images Using Multi-level Transformer Network. 6GN (1) 2022: 100-110 - [c4]Yuhai Li, Yuxin Sun, Xianglong Meng, Liang Xi:
Classification of Deforestation Factors in 6G Satellite Forest Images. 6GN (1) 2022: 196-207 - [c3]Yuhai Li, Yuxin Sun, Dong He, Liang Xi:
6G Network Traffic Intrusion Detection Using Multiresolution Auto-encoder and Feature Matching Discriminator. 6GN (1) 2022: 208-218 - 2021
- [j5]Yuanyuan Qian, Yuhan Luo, Fuqi Si, Haijin Zhou, Taiping Yang, Dongshang Yang, Liang Xi:
Total Ozone Columns from the Environmental Trace Gases Monitoring Instrument (EMI) Using the DOAS Method. Remote. Sens. 13(11): 2098 (2021) - [j4]Liang Xi, Ruidong Wang, Zhi-Yu Yao, Fengbin Zhang:
Multisource Neighborhood Immune Detector Adaptive Model for Anomaly Detection. IEEE Trans. Evol. Comput. 25(3): 582-594 (2021) - 2020
- [j3]Liang Xi, Ruidong Wang, Fengbin Zhang, Yuezhongyi Sun:
CC-CSA: A culture&chaos-inspired clonal selection algorithm for abnormal detection. J. Intell. Fuzzy Syst. 39(1): 1289-1301 (2020) - [j2]Liang Xi, Fengbin Zhang:
An adaptive artificial-fish-swarm-inspired fuzzy C-means algorithm. Neural Comput. Appl. 32(22): 16891-16899 (2020) - [c2]Haoyi Fan, Fengbin Zhang, Ruidong Wang, Liang Xi, Zuoyong Li:
Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection. PAKDD (2) 2020: 688-700 - [i1]Haoyi Fan, Fengbin Zhang, Ruidong Wang, Liang Xi, Zuoyong Li:
Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection. CoRR abs/2002.07349 (2020)
2010 – 2019
- 2011
- [j1]Dawei Wang, Fengbin Zhang, Liang Xi:
Evolving boundary detector for anomaly detection. Expert Syst. Appl. 38(3): 2412-2420 (2011)
2000 – 2009
- 2009
- [c1]Liang Xi, Fengbin Zhang, Dawei Wang:
Optimization of Real-Valued Self Set for Anomaly Detection Using Gaussian Distribution. AICI 2009: 112-120
Coauthor Index
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