Causal analysis for non-stationary time series in sensor-rich smart buildings. - Yuxun Zhou; Zhaoyi Kang; Lin Zhang 001; Costas J. Spanos (CASE, 2013)

Virtual power sensing based on a multiple-hypothesis sequential test. - Zhaoyi Kang; Yuxun Zhou; Lin Zhang 001; Costas J. Spanos (SmartGridComm, 2013)

Learning Optimization Friendly Comfort Model for HVAC Model Predictive Control. - Yuxun Zhou; Dan Li 016; Costas J. Spanos (ICDM Workshops, 2015)

Learning Convex Piecewise Linear Machine for Data-Driven Optimal Control. - Yuxun Zhou; Baihong Jin; Costas J. Spanos (ICMLA, 2015)

A Contract-based Framework for Integrated Demand Response Management in Smart Grids. - Baihong Jin; Pierluigi Nuzzo 002; Mehdi Maasoumy; Yuxun Zhou; Alberto L. Sangiovanni-Vincentelli (BuildSys, 2015)

Veto-Consensus Multiple Kernel Learning. - Yuxun Zhou; Ninghang Hu; Costas J. Spanos (AAAI, 2016)

Data-driven event detection with partial knowledge: A Hidden Structure Semi-Supervised learning method. - Yuxun Zhou; Reza Arghandeh; Ioannis C. Konstantakopoulos; Shayaan Abdullah; Costas J. Spanos (ACC, 2016)

Fusing system configuration information for building cooling plant Fault Detection and severity level identification. - Dan Li 016; Yuxun Zhou; Guoqiang Hu 001; Costas J. Spanos (CASE, 2016)

Online learning of Contextual Hidden Markov Models for temporal-spatial data analysis. - Yuxun Zhou; Reza Arghandeh; Costas J. Spanos (CDC, 2016)

On a class of multi-parametric quadratic programming and its applications to machine learning. - Yuxun Zhou; Costas J. Spanos (CDC, 2016)

A transfer kernel learning based strategy for adaptive localization in dynamic indoor environments: poster. - Han Zou; Yuxun Zhou; Hao Jiang 008; Baoqi Huang; Lihua Xie 001; Costas J. Spanos (MobiCom, 2016)

Causal meets Submodular: Subset Selection with Directed Information. - Yuxun Zhou; Costas J. Spanos (NIPS, 2016)

Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning. - Yuxun Zhou; Jae Yeon Baek; Dan Li 016; Costas J. Spanos (PAKDD (1), 2016)

Abnormal event detection with high resolution micro-PMU data. - Yuxun Zhou; Reza Arghandeh; Ioannis C. Konstantakopoulos; Shayaan Abdullah; Alexandra von Meier; Costas J. Spanos (PSCC, 2016)

Parametric Dual Maximization for Non-Convex Learning Problems. - Yuxun Zhou; Zhaoyi Kang; Costas J. Spanos (AAAI, 2017)

FreeCount: Device-Free Crowd Counting with Commodity WiFi. - Han Zou; Yuxun Zhou; Jianfei Yang; Weixi Gu; Lihua Xie 001; Costas J. Spanos (GLOBECOM, 2017)

BikeSafe: bicycle behavior monitoring via smartphones. - Weixi Gu; Yunxin Liu; Yuxun Zhou; Zimu Zhou; Costas J. Spanos; Lin Zhang 001 (UbiComp/ISWC Adjunct, 2017)

Multiple Kernel Representation Learning for WiFi-Based Human Activity Recognition. - Han Zou; Yuxun Zhou; Jianfei Yang; Weixi Gu; Lihua Xie 001; Costas J. Spanos (ICMLA, 2017)

Poster: WiFi-based Device-Free Human Activity Recognition via Automatic Representation Learning. - Han Zou; Yuxun Zhou; Jianfei Yang; Weixi Gu; Lihua Xie 001; Costas J. Spanos (MobiCom, 2017)

BikeMate: Bike Riding Behavior Monitoring with Smartphones. - Weixi Gu; Zimu Zhou; Yuxun Zhou; Han Zou; Yunxin Liu; Costas J. Spanos; Lin Zhang 001 (MobiQuitous, 2017)

FreeDetector: Device-Free Occupancy Detection with Commodity WiFi. - Han Zou; Yuxun Zhou; Jianfei Yang; Weixi Gu; Lihua Xie 001; Costas J. Spanos (SECON Workshops, 2017)

Predicting Blood Glucose Dynamics with Multi-time-series Deep Learning. - Weixi Gu; Zimu Zhou; Yuxun Zhou; Miao He; Han Zou; Lin Zhang 001 (SenSys, 2017)

Adaptive Localization in Dynamic Indoor Environments by Transfer Kernel Learning. - Han Zou; Yuxun Zhou; Hao Jiang 008; Baoqi Huang; Lihua Xie 001; Costas J. Spanos (WCNC, 2017)

SugarMate: Non-intrusive Blood Glucose Monitoring with Smartphones. - Weixi Gu; Yuxun Zhou; Zimu Zhou; Xi Liu; Han Zou; Pei Zhang 001; Costas J. Spanos; Lin Zhang 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Optimal Sensor Configuration and Feature Selection for AHU Fault Detection and Diagnosis. - Dan Li 016; Yuxun Zhou; Guoqiang Hu 001; Costas J. Spanos (IEEE Trans. Ind. Informatics, 2017)

Statistical Learning for Sparse Sensing and Agile Operation. - Yuxun Zhou (2017)

Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis. - Yuxun Zhou; Han Zou; Reza Arghandeh; Weixi Gu; Costas J. Spanos (AAAI, 2018)

WiFi-Based Human Identification via Convex Tensor Shapelet Learning. - Han Zou; Yuxun Zhou; Jianfei Yang; Weixi Gu; Lihua Xie 001; Costas J. Spanos (AAAI, 2018)

Multivariate Deep Causal Network for Time Series Forecasting in Interdependent Networks. - Lalitha Madhavi Konila Madhavi; Mostafa Gilanifar; Yuxun Zhou; Eren Erman Ozguven; Reza Arghandeh (CDC, 2018)

DeepSense: Device-Free Human Activity Recognition via Autoencoder Long-Term Recurrent Convolutional Network. - Han Zou; Yuxun Zhou; Jianfei Yang; Hao Jiang 008; Lihua Xie 001; Costas J. Spanos (ICC, 2018)

WiFi-enabled Device-free Gesture Recognition for Smart Home Automation. - Han Zou; Yuxun Zhou; Jianfei Yang; Hao Jiang 008; Lihua Xie 001; Costas J. Spanos (ICCA, 2018)

Robust WiFi-Enabled Device-Free Gesture Recognition via Unsupervised Adversarial Domain Adaptation. - Han Zou; Jianfei Yang; Yuxun Zhou; Lihua Xie 001; Costas J. Spanos (ICCCN, 2018)

Joint Adversarial Domain Adaptation for Resilient WiFi-Enabled Device-Free Gesture Recognition. - Han Zou; Jianfei Yang; Yuxun Zhou; Costas J. Spanos (ICMLA, 2018)

Design Automation for Smart Building Systems. - Ruoxi Jia 001; Baihong Jin; Ming Jin 002; Yuxun Zhou; Ioannis C. Konstantakopoulos; Han Zou; Joyce Kim; Dan Li 016; Weixi Gu; Reza Arghandeh; Pierluigi Nuzzo 002; Stefano Schiavon; et al. (Proc. IEEE, 2018)

Partial Knowledge Data-Driven Event Detection for Power Distribution Networks. - Yuxun Zhou; Reza Arghandeh; Costas J. Spanos (IEEE Trans. Smart Grid, 2018)

Consensus Adversarial Domain Adaptation. - Han Zou; Yuxun Zhou; Jianfei Yang; Huihan Liu; Hari Prasanna Das; Costas J. Spanos (AAAI, 2019)

WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition. - Han Zou; Jianfei Yang; Hari Prasanna Das; Huihan Liu; Yuxun Zhou; Costas J. Spanos (CVPR Workshops, 2019)

Causal feature selection for physical sensing data: a case study on power events prediction. - Miao He; Weixi Gu; Yuxun Zhou; Ying Kong; Lin Zhang 001 (UbiComp/ISWC Adjunct, 2019)

Shape Preserving Incremental Learning for Power Systems Fault Detection. - Jose Cordova 002; Carlos Soto 002; Mostafa Gilanifar; Yuxun Zhou; Anuj Srivastava; Reza Arghandeh (IEEE Control. Syst. Lett., 2019)

Learning Gestures From WiFi: A Siamese Recurrent Convolutional Architecture. - Jianfei Yang; Han Zou; Yuxun Zhou; Lihua Xie 001 (IEEE Internet Things J., 2019)

Multiple Kernel Semi-Representation Learning With Its Application to Device-Free Human Activity Recognition. - Han Zou; Yuxun Zhou; Reza Arghandeh; Costas J. Spanos (IEEE Internet Things J., 2019)

Unsupervised WiFi-Enabled IoT Device-User Association for Personalized Location-Based Service. - Han Zou; Yuxun Zhou; Jianfei Yang; Costas J. Spanos (IEEE Internet Things J., 2019)

Identifying Unseen Faults for Smart Buildings by Incorporating Expert Knowledge With Data. - Dan Li 016; Yuxun Zhou; Guoqiang Hu 001; Costas J. Spanos (IEEE Trans Autom. Sci. Eng., 2019)

Causal Markov Elman Network for Load Forecasting in Multinetwork Systems. - Lalitha Madhavi Konila Sriram; Mostafa Gilanifar; Yuxun Zhou; Eren Erman Ozguven; Reza Arghandeh (IEEE Trans. Ind. Electron., 2019)

Nonparametric Event Detection in Multiple Time Series for Power Distribution Networks. - Yuxun Zhou; Reza Arghandeh; Han Zou; Costas J. Spanos (IEEE Trans. Ind. Electron., 2019)

Combined Electricity and Traffic Short-Term Load Forecasting Using Bundled Causality Engine. - Jose Cordova 002; Lalitha Madhavi Konila Sriram; Ayberk Kocatepe; Yuxun Zhou; Eren Erman Ozguven; Reza Arghandeh (IEEE Trans. Intell. Transp. Syst., 2019)

Mind the Discriminability: Asymmetric Adversarial Domain Adaptation. - Jianfei Yang; Han Zou; Yuxun Zhou; Zhaoyang Zeng; Lihua Xie 001 (ECCV (24), 2020)

Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training. - Jianfei Yang; Han Zou; Yuxun Zhou; Lihua Xie 001 (CoRR, 2020)

Adversarial Learning-Enabled Automatic WiFi Indoor Radio Map Construction and Adaptation With Mobile Robot. - Han Zou; Chunlin Chen; Maoxun Li; Jianfei Yang; Yuxun Zhou; Lihua Xie 001; Costas J. Spanos (IEEE Internet Things J., 2020)

Handling Incomplete Sensor Measurements in Fault Detection and Diagnosis for Building HVAC Systems. - Dan Li 016; Yuxun Zhou; Guoqiang Hu 001; Costas J. Spanos (IEEE Trans Autom. Sci. Eng., 2020)

Bayesian Spatiotemporal Gaussian Process for Short-term Load Forecasting Using Combined Transportation and Electricity Data. - Mostafa Gilanifar; Hui Wang 035; Eren Erman Ozguven; Yuxun Zhou; Reza Arghandeh (ACM Trans. Cyber Phys. Syst., 2020)

Robust adversarial discriminative domain adaptation for real-world cross-domain visual recognition. - Jianfei Yang; Han Zou; Yuxun Zhou; Lihua Xie 001 (Neurocomputing, 2021)

Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction. - Guoliang Zhao; Yuxun Zhou; Zhanbo Xu; Yadong Zhou; Jiang Wu (AAAI, 2022)

Fast Identification of Vulnerable Set for Cascading Failure Analysis in Power Grid. - Sizhe He; Yuxun Zhou; Yadong Zhou; Jiang Wu; Min Zheng; Ting Liu 002 (IEEE Trans. Ind. Informatics, 2023)

Performance evaluation of lightweight network-based bot detection using mouse movements. - Hongfeng Niu; Yuxun Zhou; Jiading Chen; Zhongmin Cai (Eng. Appl. Artif. Intell., 2024)

Heterogeneous Dual-Dynamic Attention Network for Modeling Mutual Interplay of Stocks. - Haotian Liu; Yadong Zhou; Yuxun Zhou; Bowen Hu (IEEE Trans. Artif. Intell., 2024)

Data Protection Method Against Cross-Domain Inference Threat in Cyber-Physical Power Grid. - Bowen Hu; Yadong Zhou; Yuxun Zhou; Jiang Wu; Ting Liu 002; Xiaohong Guan (IEEE Trans. Smart Grid, 2024)

Cascading Failure in Cyber-Physical Systems: A Review on Failure Modeling and Vulnerability Analysis. - Sizhe He; Yadong Zhou; Yujie Yang; Ting Liu 002; Yuxun Zhou; Jie Li 013; Tong Wu; Xiaohong Guan (IEEE Trans. Cybern., 2024)

Timing Matters: Analyzing Government Intervention Intensity and Effectiveness in Controlling Rumor Spread. - Yuxun Zhou; Mohammad Mafizur Rahman; Ren Long; Xiaoyun Liu (IEEE Access, 2025)

Data-Driven Identification Model of Vulnerable Set for Cascading Failure in Power Grid. - Sizhe He; Yuxun Zhou; Yadong Zhou; Jiang Wu; Ting Liu 002; Xiaohong Guan (IEEE Trans Autom. Sci. Eng., 2025)

Responding to News Sensitively in Stock Attention Networks via Prompt-Adaptive Trimodal Model. - Haotian Liu; Bowen Hu; Yadong Zhou; Yuxun Zhou (IEEE Trans. Neural Networks Learn. Syst., 2025)