Yuxun Zhou

Orcid: 0000-0003-4258-2179

According to our database1, Yuxun Zhou authored at least 57 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Data Protection Method Against Cross-Domain Inference Threat in Cyber-Physical Power Grid.
IEEE Trans. Smart Grid, July, 2024

Heterogeneous Dual-Dynamic Attention Network for Modeling Mutual Interplay of Stocks.
IEEE Trans. Artif. Intell., July, 2024

Performance evaluation of lightweight network-based bot detection using mouse movements.
Eng. Appl. Artif. Intell., 2024

2023
Fast Identification of Vulnerable Set for Cascading Failure Analysis in Power Grid.
IEEE Trans. Ind. Informatics, April, 2023

2022
Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Robust adversarial discriminative domain adaptation for real-world cross-domain visual recognition.
Neurocomputing, 2021

2020
Bayesian Spatiotemporal Gaussian Process for Short-term Load Forecasting Using Combined Transportation and Electricity Data.
ACM Trans. Cyber Phys. Syst., 2020

Handling Incomplete Sensor Measurements in Fault Detection and Diagnosis for Building HVAC Systems.
IEEE Trans Autom. Sci. Eng., 2020

Adversarial Learning-Enabled Automatic WiFi Indoor Radio Map Construction and Adaptation With Mobile Robot.
IEEE Internet Things J., 2020

Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training.
CoRR, 2020

Mind the Discriminability: Asymmetric Adversarial Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Combined Electricity and Traffic Short-Term Load Forecasting Using Bundled Causality Engine.
IEEE Trans. Intell. Transp. Syst., 2019

Nonparametric Event Detection in Multiple Time Series for Power Distribution Networks.
IEEE Trans. Ind. Electron., 2019

Causal Markov Elman Network for Load Forecasting in Multinetwork Systems.
IEEE Trans. Ind. Electron., 2019

Identifying Unseen Faults for Smart Buildings by Incorporating Expert Knowledge With Data.
IEEE Trans Autom. Sci. Eng., 2019

Unsupervised WiFi-Enabled IoT Device-User Association for Personalized Location-Based Service.
IEEE Internet Things J., 2019

Multiple Kernel Semi-Representation Learning With Its Application to Device-Free Human Activity Recognition.
IEEE Internet Things J., 2019

Learning Gestures From WiFi: A Siamese Recurrent Convolutional Architecture.
IEEE Internet Things J., 2019

Shape Preserving Incremental Learning for Power Systems Fault Detection.
IEEE Control. Syst. Lett., 2019

Causal feature selection for physical sensing data: a case study on power events prediction.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Consensus Adversarial Domain Adaptation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Partial Knowledge Data-Driven Event Detection for Power Distribution Networks.
IEEE Trans. Smart Grid, 2018

Design Automation for Smart Building Systems.
Proc. IEEE, 2018

Joint Adversarial Domain Adaptation for Resilient WiFi-Enabled Device-Free Gesture Recognition.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Robust WiFi-Enabled Device-Free Gesture Recognition via Unsupervised Adversarial Domain Adaptation.
Proceedings of the 27th International Conference on Computer Communication and Networks, 2018

WiFi-enabled Device-free Gesture Recognition for Smart Home Automation.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

DeepSense: Device-Free Human Activity Recognition via Autoencoder Long-Term Recurrent Convolutional Network.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Multivariate Deep Causal Network for Time Series Forecasting in Interdependent Networks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

WiFi-Based Human Identification via Convex Tensor Shapelet Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Statistical Learning for Sparse Sensing and Agile Operation.
PhD thesis, 2017

Optimal Sensor Configuration and Feature Selection for AHU Fault Detection and Diagnosis.
IEEE Trans. Ind. Informatics, 2017

SugarMate: Non-intrusive Blood Glucose Monitoring with Smartphones.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Adaptive Localization in Dynamic Indoor Environments by Transfer Kernel Learning.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Predicting Blood Glucose Dynamics with Multi-time-series Deep Learning.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

FreeDetector: Device-Free Occupancy Detection with Commodity WiFi.
Proceedings of the 2017 IEEE International Conference on Sensing, 2017

BikeMate: Bike Riding Behavior Monitoring with Smartphones.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Poster: WiFi-based Device-Free Human Activity Recognition via Automatic Representation Learning.
Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking, 2017

Multiple Kernel Representation Learning for WiFi-Based Human Activity Recognition.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

BikeSafe: bicycle behavior monitoring via smartphones.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

FreeCount: Device-Free Crowd Counting with Commodity WiFi.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Parametric Dual Maximization for Non-Convex Learning Problems.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Abnormal event detection with high resolution micro-PMU data.
Proceedings of the Power Systems Computation Conference, 2016

Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Causal meets Submodular: Subset Selection with Directed Information.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A transfer kernel learning based strategy for adaptive localization in dynamic indoor environments: poster.
Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, 2016

On a class of multi-parametric quadratic programming and its applications to machine learning.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Online learning of Contextual Hidden Markov Models for temporal-spatial data analysis.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Fusing system configuration information for building cooling plant Fault Detection and severity level identification.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

Data-driven event detection with partial knowledge: A Hidden Structure Semi-Supervised learning method.
Proceedings of the 2016 American Control Conference, 2016

Veto-Consensus Multiple Kernel Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A Contract-based Framework for Integrated Demand Response Management in Smart Grids.
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015

Learning Convex Piecewise Linear Machine for Data-Driven Optimal Control.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Learning Optimization Friendly Comfort Model for HVAC Model Predictive Control.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2013
Virtual power sensing based on a multiple-hypothesis sequential test.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Causal analysis for non-stationary time series in sensor-rich smart buildings.
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013


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