Bio
I am a senior key expert research scientist at Siemens Foundational Technology (西门子研究院), working on applied research in industrial data analytics and artificial intelligence.
During 2016/09 to 2018/02, I was a Research Associate in AI and System Security at the Institute for Security Science and Technology, Imperial College London.
In 2016, I obtained my PhD in Informatics with Professor Jane Hillston at the Laboratory for Foundations of Computer Science , School of Informatics , University of Edinburgh.
My research focuses on probabilistic modelling and inference for industrial dynamical systems, with applications including time series forecasting, anomaly detection, control optimization and performance evaluation.
I serve as a PC member or reviewer for the following conferences and journals:- KDD, NeurIPS, ICLR, AAAI
- IEEE Transactions on Reliability
- IEEE Transactions on Intelligent Transportation Systems
- IEEE Transactions on Mobile Computing
- ACM Transactions on Internet of Things
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
I am looking for highly motivated interns to work with me on above areas. Feel free to drop me an email if you are interested.
Contact me: cfeng783 #at# gmail.com
Selected Publications
(Google Scholar)General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting
Conference Paper 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024)
PARs: Predicate-based Association Rules for Efficient and Accurate Anomaly Explanation
Conference Paper 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024)
A cGAN Ensemble-Based Uncertainty-Aware Surrogate Model for Offline Model-Based Optimization in Industrial Control Problems
Conference Paper 2024 International Joint Conference on Neural Networks (IJCNN 2024)
StackVAE-G: An Efficient and Interpretable Model for Time Series Anomaly Detection
Journal Paper AI Open, 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations
Journal Paper Journal of Machine Learning Research, 2022
Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
Conference Paper 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021)
RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning
Conference Paper 29th ACM International Conference on Information and Knowledge Management (CIKM 2020)
Scalable Approach to Enhancing ICS Resilience by Network Diversity
Conference Paper 50th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2020)
A Systematic Framework to Generate Invariants for Anomaly Detection in Industrial Control Systems
Conference Paper 26th Annual Network and Distributed System Security Symposium (NDSS 2019)
Accelerating Simulation of Population Continuous Time Markov Chains via Automatic Model Reduction
Journal Paper Performance Evaluation, 2018
Multi-level Anomaly Detection of Industrial Control Systems via Package Signatures and LSTM Networks
Conference Paper 47th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2017)
Moment-based Availablity Prediction for Bike-sharing Systems
Journal Paper Performance Evaluation, 2017
Availability Modeling of Generalized k-out-of-n: G Warm Standby Systems With PEPA
Journal Paper IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017
Automatic Moment-closure Approximation of Spatially Distributed Collective Adaptive Systems
Journal Paper ACM Transactions on Modelling and Computer Simulation, 2016
PALOMA: A Process Algebra for Located Markovian Agents
Conference Paper 11th International Conference on Quantitative Evaluation of Systems (QEST 2014)
Published Patents
Miscellaneous
I serve as a journal reviewer for IEEE Transactions on Reliability and IEEE Transactions on Intelligent Transportation Systems.
I was a reviewer of AAMAS 2018 and a PC member of DataMod 2017, ALP4IoT 2017.
Contact me: cfeng783 #at# gmail.com