Cheng Feng
Orcid: 0000-0002-0247-5355Affiliations:
- Siemens, Beijing, China
- Imperial College London, UK (2016 - 2018)
- University of Edinburgh, UK (PhD 2016)
According to our database1,
Cheng Feng
authored at least 26 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction.
CoRR, 2024
General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
PARs: Predicate-based Association Rules for Efficient and Accurate Anomaly Explanation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2022
AI Open, January, 2022
J. Mach. Learn. Res., 2022
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data.
CoRR, 2022
2021
Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection.
CoRR, 2021
Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
2020
RelSen: An Optimization-based Framework for Simultaneous Sensor Reliability Monitoring and Process State Estimation.
CoRR, 2020
Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2020
RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
A Systematic Framework to Generate Invariants for Anomaly Detection in Industrial Control Systems.
Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019
2018
Accelerating simulation of Population Continuous Time Markov Chains via automatic model reduction.
Perform. Evaluation, 2018
CoRR, 2018
2017
Process algebra for located Markovian agents and scalable analysis techniques for the modelling of Collective Adaptive Systems.
PhD thesis, 2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
Perform. Evaluation, 2017
A Deep Learning-based Framework for Conducting Stealthy Attacks in Industrial Control Systems.
CoRR, 2017
Multi-level Anomaly Detection in Industrial Control Systems via Package Signatures and LSTM Networks.
Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017
2016
Automatic Moment-Closure Approximation of Spatially Distributed Collective Adaptive Systems.
ACM Trans. Model. Comput. Simul., 2016
Proceedings of the Quantitative Evaluation of Systems - 13th International Conference, 2016
2015
Proceedings of the Computer Performance Engineering - 12th European Workshop, 2015
2014
Proceedings of the Twenty-ninth and thirtieth Annual UK Performance Engineering Workshops, 2014
Patch-based Hybrid Modelling of Spatially Distributed Systems by Using Stochastic HYPE - ZebraNet as an Example.
Proceedings of the Proceedings Twelfth International Workshop on Quantitative Aspects of Programming Languages and Systems, 2014
Proceedings of the Quantitative Evaluation of Systems - 11th International Conference, 2014