Jie Jiang

According to our database, Jie Jiang authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Data-Distillation-Enhanced Autoencoder for Detecting Anomalous Gas Consumption.

Yujue Zhou, Jie Jiang, Shuang-Hua Yang, Ligang He, Yulong Ding, Kai Liu, Guozhong Zhu, Yali Qing

IEEE Internet Things J., January, 2024

Skip-patching spatial-temporal discrepancy-based anomaly detection on multivariate time series.

Yinsong Xu, Yulong Ding, Jie Jiang, Runmin Cong, Xuefeng Zhang, Shiqi Wang, Sam Kwong, Shuang-Hua Yang

Neurocomputing, 2024

Industrial Control Protocol Type Inference Using Transformer and Rule-based Re-Clustering.

Yuhuan Liu, Yulong Ding, Jie Jiang, Bin Xiao, Shuang-Hua Yang

Proceedings of the IEEE INFOCOM 2024, 2024

Intra and Inter-User Data Augmentation Methods for Energy Disaggregation.

Shijie Yang, Jie Jiang, Qiuqiang Kong

Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2022

Sub-messages extraction for industrial control protocol reverse engineering.

Yuhuan Liu, Fengyun Zhang, Yulong Ding, Jie Jiang, Shuang-Hua Yang

Comput. Commun., 2022

BERT-based Sentiment Analysis of Chinese Online Social Movements.

Hao Li, Yulong Ding, Jie Jiang, Peng Deng, Diping Yuan, Shuang-Hua Yang

Proceedings of the 27th International Conference on Automation and Computing, 2022

Utilizing Lexicon-enhanced Approach to Sensitive Information Identification.

Lihua Cai, Yujue Zhou, Yulong Ding, Jie Jiang, Shuang-Hua Yang

Proceedings of the 27th International Conference on Automation and Computing, 2022

2021

Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances.

Jie Jiang, Qiuqiang Kong, Mark D. Plumbley, Nigel Gilbert, Mark Hoogendoorn, Diederik M. Roijers

ACM Trans. Knowl. Discov. Data, 2021

DLGEA: a deep learning guided evolutionary algorithm for water contamination source identification.

Kai Qian, Jie Jiang, Yulong Ding, Shuang-Hua Yang

Neural Comput. Appl., 2021

2020

MakeSense: An IoT Testbed for Social Research of Indoor Activities.

Jie Jiang, Riccardo Pozza, Nigel Gilbert, Klaus Moessner

ACM Trans. Internet Things, 2020

Deep Learning Based Anomaly Detection in Water Distribution Systems.

Kai Qian, Jie Jiang, Yulong Ding, Shuanghua Yang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

A Reinforcement Learning Based Medium Access Control Method for LoRa Networks.

Xu Huang, Jie Jiang, Shuang-Hua Yang, Yulong Ding

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019

Deep Learning Based Energy Disaggregation and On/Off Detection of Household Appliances.

Jie Jiang, Qiuqiang Kong, Mark D. Plumbley, Nigel Gilbert

CoRR, 2019

2018

Predicting Appliance Usage Status In Home Like Environments.

Jie Jiang, Mark Hoogendoorn, Qiuqiang Kong, Diederik M. Roijers, Nigel Gilbert

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

2017

Using Sensors to Study Home Activities.

Jie Jiang, Riccardo Pozza, Kristrún Gunnarsdóttir, Nigel Gilbert, Klaus Moessner

J. Sens. Actuator Networks, 2017

Recognising Activities at Home: Digital and Human Sensors.

Jie Jiang, Riccardo Pozza, Kristrún Gunnarsdóttir, Nigel Gilbert, Klaus Moessner

Proceedings of the International Conference on Future Networks and Distributed Systems, 2017