cfeng783

adversarial_text

Code for Adversarial Training Methods for Semi-Supervised Text Classification

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

GTT

Codebase for CIKM '24 paper -- General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting

gumbel-softmax

InvariantRuleAD

NDSS19_InvariantRuleAD

Code for NDSS' 19 paper: A Systematic Framework to Generate Invariants for Anomaly Detection in Industrial Control Systems

NSIBF

Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering

paloma

This is the source code of the Eclipse Plugin for PALOMA

PARs

Codebase for CIKM '24 paper -- PARs: Predicate-based Association Rules for Efficient and Accurate (Model-Agnostic) Anomaly Explanation

PARs-Exp

Code for CIKM' 24 paper: PARs: Predicate-based Association Rules for Efficient and Accurate Anomaly Explanation

cfeng783/NSIBF

Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering

cfeng783/GTT

Codebase for CIKM '24 paper -- General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting

cfeng783/NDSS19_InvariantRuleAD

Code for NDSS' 19 paper: A Systematic Framework to Generate Invariants for Anomaly Detection in Industrial Control Systems

cfeng783/PARs

Codebase for CIKM '24 paper -- PARs: Predicate-based Association Rules for Efficient and Accurate (Model-Agnostic) Anomaly Explanation

cfeng783/gumbel-softmax

cfeng783/InvariantRuleAD

cfeng783/paloma

This is the source code of the Eclipse Plugin for PALOMA

cfeng783/PARs-Exp

Code for CIKM' 24 paper: PARs: Predicate-based Association Rules for Efficient and Accurate Anomaly Explanation

cfeng783/adversarial_text

Code for Adversarial Training Methods for Semi-Supervised Text Classification

cfeng783/BayesianOptimization

A Python implementation of global optimization with gaussian processes.

cfeng783/cfeng783.github.io

cfeng783/keras

Deep Learning for humans

cfeng783/keras-contrib

Keras community contributions

cfeng783/LONDONSIMPCTMC

cfeng783/ilya-sutskever-recommended-reading

It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.

cfeng783/mopo

Code for MOPO: Model-based Offline Policy Optimization

cfeng783/OmniAnomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

cfeng783/pepa

PEPA Eclipse Plugin

cfeng783/PEVA-SSA

cfeng783/sparse-autoencoder-tensorflow

This is an example of using Tensorflow to build Sparse Autoencoder for representation learning.

cfeng783/wsp

Code for paper: Availability Modeling of Generalized k-Out-of-n:G Warm Standby Systems With PEPA, Xiaoyue Wu, Jane Hillston, Cheng Feng, IEEE Transactions on systems, man, and cybernetics: systems.