Inefficiency of equilibria for scheduling game with machine activation costs. - Ling Lin; Xiaochen Xian; Yujie Yan; Xing He; Zhiyi Tan 001 (Theor. Comput. Sci., 2015)

An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals. - Changyue Song; Kaibo Liu; Xi Zhang 006; Lili Chen; Xiaochen Xian (IEEE Trans. Biomed. Eng., 2016)

A Nonparametric Adaptive Sampling Strategy for Online Monitoring of Big Data Streams. - Xiaochen Xian; Andi Wang 001; Kaibo Liu (Technometrics, 2018)

Causation-Based Monitoring and Diagnosis for Multivariate Categorical Processes With Ordinal Information. - Xiaochen Xian; Jian Li 023; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2019)

Quantifying the Impact of Resuscitation-Team Activation in Hospital Emergency Departments. - Xiaochen Xian; Devashish Das; Kalyan S. Pasupathy; Eric T. Boie; Mustafa Y. Sir (IEEE J. Biomed. Health Informatics, 2020)

RADM: a risk-aware DER management framework with real-time DER trustworthiness evaluation. - Yaodan Hu; Xiaochen Xian; Yier Jin (ICCPS, 2021)

Spatiotemporal Modeling and Real-Time Prediction of Origin-Destination Traffic Demand. - Xiaochen Xian; Honghan Ye; Xin Wang; Kaibo Liu (Technometrics, 2021)

Adaptive Learning for the Resource-Constrained Classification Problem. - Danit Shifman Abukasis; Izack Cohen; Xiaochen Xian; Kejun Huang; Gonen Singer (CoRR, 2022)

MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging. - Meng Jiao; Shihao Yang 001; Boyu Wang 004; Xiaochen Xian; Yevgeniy R. Semenov; Guihong Wan; Feng Liu 011 (BI, 2023)

Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things. - Xianjian Xie; Xiaochen Xian; Dan Li; Andi Wang 001 (CoRR, 2023)

Fairness-Guaranteed DER Coordination Under False Data Injection Attacks. - Yaodan Hu; Xiaochen Xian; Yier Jin; Shuo Wang 003 (IEEE Internet Things J., 2023)

An adaptive machine learning algorithm for the resource-constrained classification problem. - Danit Shifman Abukasis; Izack Cohen; Kejun Huang; Xiaochen Xian; Gonen Singer (Eng. Appl. Artif. Intell., 2023)

Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams. - Xin Zan; Di Wang 019; Xiaochen Xian (Technometrics, 2023)

Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation. - Jinwei Yao; Xiaochen Xian; Chao Wang 098 (Technometrics, 2023)

Adaptive Sampling and Quick Anomaly Detection in Large Networks. - Xiaochen Xian; Alexander Semenov; Yaodan Hu; Andi Wang 001; Yier Jin (IEEE Trans Autom. Sci. Eng., 2023)

Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region. - Haijie Xu; Xiaochen Xian; Chen Zhang; Kaibo Liu (CoRR, 2024)

Causality-aware social recommender system with network homophily informed multi-treatment confounders. - Xin Zan; Alexander Semenov; Chao Wang 098; Xiaochen Xian; Wondi Geremew (Inf. Sci., 2024)

XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG. - Meng Jiao; Xiaochen Xian; Boyu Wang 004; Yu Zhang 009; Shihao Yang 001; Spencer C. Chen; Hai Sun; Feng Liu 011 (NeuroImage, 2024)

A Latent Variable-Based Multitask Learning Approach for Degradation Modeling of Machines With Dependency and Heterogeneity. - Di Wang 019; Yuhui Wang 003; Xiaochen Xian (IEEE Trans. Instrum. Meas., 2024)

Joint Learning of Failure Mode Recognition and Prognostics for Degradation Processes. - Di Wang 019; Xiaochen Xian; Changyue Song (IEEE Trans Autom. Sci. Eng., 2024)

Data-Driven Pathwise Sampling Approaches for Online Anomaly Detection. - Dongmin Li; Miao Bai; Xiaochen Xian (Technometrics, 2024)

An Adaptation-Aware Interactive Learning Approach for Multiple Operational Condition-Based Degradation Modeling. - Di Wang 019; Ying Wang 088; Xiaochen Xian; Bin Cheng 008 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A lightweight graph neural network to predict long-term mortality in coronary artery disease patients: an interpretable causality-aware approach. - Mohammad Yaseliani; Md. Noor-E.-Alam; Osama Dasa; Xiaochen Xian; Carl J. Pepine; Md Mahmudul Hasan (J. Biomed. Informatics, 2025)

Distribution-Agnostic Probabilistic Few-Shot Learning for Multimodal Recognition and Prediction. - Di Wang 019; Xiaochen Xian; Haidong Li; Dong Wang 001 (IEEE Trans Autom. Sci. Eng., 2025)

Weakly Supervised Deep Learning for Monitoring Sleep Apnea Severity Using Coarse-Grained Labels. - Xin Zan; Di Wang 019; Changyue Song; Feng Liu 011; Xiaochen Xian; Richard Berry (IEEE Trans Autom. Sci. Eng., 2025)

Spatiotemporal Interactive Modeling of Event-Based Dynamic Networks. - Di Wang; Xiaochen Xian; Haidong Li (Technometrics, 2025)

Partially Observable Online Nonparametric Monitoring of Spatiotemporally Correlated Data Streams. - Di Wang 019; Andi Wang 001; Xiaochen Xian; Yongxiang Li (Technometrics, 2025)