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2020 – today
- 2024
[j2]Fanxing Liu, Lu Zhang, Hao Li, Siyu Zhou, Yingjie Zhou:
A weakly supervised time series anomaly detection method with dual-association discrepancy. Signal Image Video Process. 18(5): 4831-4839 (2024)- [i3]Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen
:
TSI-Bench: Benchmarking Time Series Imputation. CoRR abs/2406.12747 (2024) - 2022
- [j1]Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu:
Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2454-2465 (2022) - [c1]Fanxing Liu, Cheng Zeng, Le Zhang, Yingjie Zhou, Qing Mu, Yanru Zhang, Ling Zhang, Ce Zhu:
FedTADBench: Federated Time-series Anomaly Detection Benchmark. HPCC/DSS/SmartCity/DependSys 2022: 303-310 - [i2]Fanxing Liu, Cheng Zeng, Le Zhang, Yingjie Zhou, Qing Mu, Yanru Zhang, Ling Zhang, Ce Zhu:
FedTADBench: Federated Time-Series Anomaly Detection Benchmark. CoRR abs/2212.09518 (2022) - 2021
- [i1]Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu:
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection. CoRR abs/2105.10500 (2021)
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