Performance Analysis of Transmit and Receive Antenna Selection with Space-Time Coding. - Wei Zhang 007; Chintha Tellambura; Xinwei Deng (GLOBECOM, 2007)

Amount of Fading Analysis for Transmit Antenna Selection in MIMO Systems. - Xinwei Deng; Wei Zhang 007; Chintha Tellambura (WCNC, 2007)

Contributions to statistical learning and statistical quantification in nanomaterials. - Xinwei Deng (2009)

Experimental design. - J. P. Morgan; Xinwei Deng (WIREs Data Mining Knowl. Discov., 2012)

Robust sparse estimation of multiresponse regression and inverse covariance matrix via the L2 distance. - Aurélie C. Lozano; Huijing Jiang; Xinwei Deng (KDD, 2013)

A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition. - Elias David Niño Ruiz; Adrian Sandu; Xinwei Deng (ScalA@SC, 2015)

QQ Models: Joint Modeling for Quantitative and Qualitative Quality Responses in Manufacturing Systems. - Xinwei Deng; Ran Jin (Technometrics, 2015)

Sparse Estimation of Multivariate Poisson Log-Normal Model and Inverse Covariance for Count Data. - Hao Wu 041; Xinwei Deng; Naren Ramakrishnan (CoRR, 2016)

A Spatial Calibration Model for Nanotube Film Quality Prediction. - Xin Wang; Su Wu; Kaibo Wang; Xinwei Deng; Liang Liu; Qi Cai (IEEE Trans Autom. Sci. Eng., 2016)

Online Updating of Computer Model Output Using Real-Time Sensor Data. - Huijing Jiang; Xinwei Deng; Vanessa López; Hendrik F. Hamann (Technometrics, 2016)

Additive Gaussian Process for Computer Models With Qualitative and Quantitative Factors. - Xinwei Deng; C. Devon Lin; K.-W. Liu; R. Kerry Rowe (Technometrics, 2017)

Graph Scan Statistics With Uncertainty. - Jose Cadena; Arinjoy Basak; Anil Vullikanti; Xinwei Deng (AAAI, 2018)

Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis. - Yihui Ren 001; Vanessa Cedeno-Mieles; Zhihao Hu; Xinwei Deng; Abhijin Adiga; Christopher L. Barrett; Saliya Ekanayake; Brian J. Goode; Gizem Korkmaz; Chris J. Kuhlman; Dustin Machi; Madhav V. Marathe; et al. (ASONAM, 2018)

Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments. - Vanessa Cedeno-Mieles; Yihui Ren 001; Saliya Ekanayake; Brian J. Goode; Chris J. Kuhlman; Dustin Machi; Madhav V. Marathe; Henning S. Mortveit; Zhihao Hu; Xinwei Deng; Naren Ramakrishnan; Parang Saraf; et al. (WSC, 2018)

Non-invasive assessment of liver quality in transplantation based on thermal imaging analysis. - Qing Lan; Hongyue Sun; John Robertson; Xinwei Deng; Ran Jin (Comput. Methods Programs Biomed., 2018)

Sparse estimation of multivariate Poisson log-normal models from count data. - Hao Wu 041; Xinwei Deng; Naren Ramakrishnan (Stat. Anal. Data Min., 2018)

An Ensemble Kalman Filter Implementation Based on Modified Cholesky Decomposition for Inverse Covariance Matrix Estimation. - Elias David Niño Ruiz; Adrian Sandu; Xinwei Deng (SIAM J. Sci. Comput., 2018)

Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process. - Hongyue Sun; Prahalad K. Rao; Zhenyu James Kong; Xinwei Deng; Ran Jin (IEEE Trans Autom. Sci. Eng., 2018)

Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games. - Vanessa Cedeno-Mieles; Zhihao Hu; Xinwei Deng; Yihui Ren 001; Abhijin Adiga; Christopher L. Barrett; Saliya Ekanayake; Gizem Korkmaz; Chris J. Kuhlman; Dustin Machi; Madhav V. Marathe; S. S. Ravi; et al. (ASONAM, 2019)

On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game. - Zhihao Hu; Dustin Machi; Madhav V. Marathe; S. S. Ravi; Yihui Ren 001; Vanessa Cedeno-Mieles; Saliya Ekanayake; Xinwei Deng; Brian J. Goode; Naren Ramakrishnan; Parang Saraf; Nathan Self; et al. (WSC, 2019)

A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition. - Elias David Niño Ruiz; Adrian Sandu; Xinwei Deng (J. Comput. Sci., 2019)

Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments. - Jiayi Lian; Laura J. Freeman; Yili Hong 001; Xinwei Deng (CoRR, 2020)

Manufacturing quality prediction using smooth spatial variable selection estimator with applications in aerosol jet®printed electronics manufacturing. - Yifu Li; Hongyue Sun; Xinwei Deng; Chuck Zhang; Hsu-Pin (Ben) Wang; Ran Jin (IISE Trans., 2020)

Scalable Algorithms for the Sparse Ridge Regression. - Weijun Xie 001; Xinwei Deng (SIAM J. Optim., 2020)

Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework. - Vanessa Cedeno-Mieles; Zhihao Hu; Yihui Ren 001; Xinwei Deng; Abhijin Adiga; Christopher L. Barrett; Noshir Contractor; Saliya Ekanayake; Joshua M. Epstein; Brian J. Goode; Gizem Korkmaz; Chris J. Kuhlman; et al. (Soc. Netw. Anal. Min., 2020)

Additive Heredity Model for the Analysis of Mixture-of-Mixtures Experiments. - Sumin Shen; Lulu Kang; Xinwei Deng (Technometrics, 2020)

Design and analysis of computer experiments with quantitative and qualitative inputs: A selective review. - Xiaoning Kang; Xinwei Deng (WIREs Data Mining Knowl. Discov., 2020)

Are Current Voice Interfaces Designed to Support Children's Language Development? - Ying Xu; Stacy M. Branham; Xinwei Deng; Penelope Collins; Mark Warschauer (CHI, 2021)

Versatile Uncertainty Quantification of Contrastive Behaviors for Modeling Networked Anagram Games. - Zhihao Hu; Xinwei Deng; Chris J. Kuhlman (COMPLEX NETWORKS, 2021)

Deep Neural Network Pipelines for Multivariate Time Series Classification in Smart Manufacturing. - Parshin Shojaee; Yingyan Zeng; Xiaoyu Chen 005; Ran Jin; Xinwei Deng; Chuck Zhang (ICPS, 2021)

An Uncertainty Quantification Approach For Agent-Based Modeling Of Human Behavior In Networked Anagram Games. - Zhihao Hu; Xinwei Deng; Chris J. Kuhlman (WSC, 2021)

Sequential Design of Computer Experiments with Quantitative and Qualitative Factors in Applications to HPC Performance Optimization. - Xia Cai; Li Xu; C. Devon Lin; Yili Hong 001; Xinwei Deng (CoRR, 2021)

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. - Qing Guo; Junya Chen; Dong Wang 037; Yuewei Yang; Xinwei Deng; Lawrence Carin; Fan Li; Chenyang Tao (CoRR, 2021)

Statistical Perspectives on Reliability of Artificial Intelligence Systems. - Yili Hong 001; Jiayi Lian; Li Xu; Jie Min; Yueyao Wang; Laura J. Freeman; Xinwei Deng (CoRR, 2021)

Multivariate regression of mixed responses for evaluation of visualization designs. - Xiaoning Kang; Xiaoyu Chen 005; Ran Jin; Hao Wu; Xinwei Deng (IISE Trans., 2021)

A Cost-Efficient Data-Driven Approach to Design Space Exploration for Personalized Geometric Design in Additive Manufacturing. - Sungku Kang; Xinwei Deng; Ran Jin (J. Comput. Inf. Sci. Eng., 2021)

EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors. - Qian Xiao 003; Abhyuday Mandal; C. Devon Lin; Xinwei Deng (SIAM/ASA J. Uncertain. Quantification, 2021)

Adaptive Convex Clustering of Generalized Linear Models With Application in Purchase Likelihood Prediction. - Shuyu Chu; Huijing Jiang; Zhengliang Xue; Xinwei Deng (Technometrics, 2021)

Constrained Varying-Coefficient Model for Time-Course Experiments in Soft Tissue Fabrication. - Qian Wu; Xinwei Deng; Shiren Wang; Li Zeng (Technometrics, 2021)

Bayesian Approach to Uncertainty Visualization of Heterogeneous Behaviors in Modeling Networked Anagram Games. - Xueying Liu; Zhihao Hu; Xinwei Deng; Chris J. Kuhlman (COMPLEX NETWORKS (2), 2022)

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. - Qing Guo; Junya Chen; Dong Wang 037; Yuewei Yang; Xinwei Deng; Jing Huang; Lawrence Carin; Fan Li; Chenyang Tao (NeurIPS, 2022)

Ultra-Low-Loss Graphene Coated Optical Fiber Polarizer with PMMA Enhancement. - Jianwei Li; Xinwei Deng; Shilin Zhao; Ziyu Wang; Xinyue Wang (OECC/PSC, 2022)

A Bayesian Uncertainty Quantification Approach for Agent-Based Modeling of Networked Anagram Games. - Xueying Liu; Zhihao Hu; Xinwei Deng; Chris J. Kuhlman (WSC, 2022)

Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm. - J. Lian; Kevin Choi; Balaji Veeramani; Alison Hu; Laura J. Freeman; Edward Bowen; Xinwei Deng (CoRR, 2022)

Boosting Sensitivity of Large-scale Online Experimentation via Dropout Buyer Imputation. - Sumin Shen; Huiying Mao; Zezhong Zhang; Zili Chen; Keyu Nie; Xinwei Deng (CoRR, 2022)

A generative approach to modeling data with quantitative and qualitative responses. - Xiaoning Kang; Lulu Kang; Wei Chen 043; Xinwei Deng (J. Multivar. Anal., 2022)

Building degradation index with variable selection for multivariate sensory data. - Yueyao Wang; I-Chen Lee; Yili Hong 001; Xinwei Deng (Reliab. Eng. Syst. Saf., 2022)

A Parallel Tempering Approach for Efficient Exploration of the Verification Tradespace in Engineered Systems. - Peng Xu; Alejandro Salado; Xinwei Deng (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Learning Common Knowledge Networks Via Exponential Random Graph Models. - Xueying Liu; Zhihao Hu; Xinwei Deng; Chris J. Kuhlman (ASONAM, 2023)

A Calibration Model For Bot-Like Behaviors In Agent-Based Anagram Game Simulation. - Xueying Liu; Zhihao Hu; Xinwei Deng; Chris J. Kuhlman (WSC, 2023)

Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data. - Li Xu; Yili Hong 001; Eric P. Smith; David S. McLeod; Xinwei Deng; Laura J. Freeman (CoRR, 2023)

JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction. - Qiao Liang 003; Shyam Ranganathan; Kaibo Wang; Xinwei Deng (Technometrics, 2023)

Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective. - Sungku Kang; Ran Jin; Xinwei Deng; Ron S. Kenett (J. Intell. Manuf., 2023)

Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing. - Xiaoyu Chen 005; Xiaoning Kang; Ran Jin; Xinwei Deng (Technometrics, 2023)

Uncertainty Visualization for Characterizing Heterogeneous Human Behaviors in discrete dynamical System Models. - Xueying Liu; Zhihao Hu; Xinwei Deng; Chris J. Kuhlman (Adv. Complex Syst., 2023)

Indicator-based Bayesian variable selection for Gaussian process models in computer experiments. - Fan Zhang; Ray-Bing Chen; Ying Hung; Xinwei Deng (Comput. Stat. Data Anal., 2023)

A UCB-Based Tree Search Approach to Joint Verification-Correction Strategy for Large-Scale Systems. - Peng Xu; Xinwei Deng; Alejandro Salado (IEEE Trans. Syst. Man Cybern. Syst., 2023)

An Indoor Fire Detection Method Based on Multi-Sensor Fusion and a Lightweight Convolutional Neural Network. - Xinwei Deng; Xuewei Shi; Haosen Wang; Qianli Wang; Jun Bao; Zhuming Chen (Sensors, 2023)

A Successive Analysis of Online Networked Common Knowledge Experiments. - Hao He; Xueying Liu; Neil Kattampallil; Vicki Lancaster; Gizem Korkmaz; Chris J. Kuhlman; Xinwei Deng (ASONAM (Workshops), 2024)

Data Composition for Continual Learning in Application of Cyberattack Detection. - Jiayi Lian; Xueying Liu; Kevin Choi; Balaji Veeramani; Sathvik Murli; Alison Hu; Laura J. Freeman; Edward Bowen; Xinwei Deng (ASONAM (4), 2024)

A Framework of Digital Twins for Modeling Human-Subject Word Formation Experiments. - Hao He; Xueying Liu; Chris J. Kuhlman; Xinwei Deng (WSC, 2024)

Applied Statistics in the Era of Artificial Intelligence: A Review and Vision. - Jie Min; Xinyi Song; Simin Zheng; Caleb B. King; Xinwei Deng; Yili Hong 001 (CoRR, 2024)

CVPCNN: Conditionally variational parameterized convolution neural network for HRRP target recognition with imperfect side information. - Ting Chen; Shuai Guo; Xinwei Deng; Penghui Wang; Jun Ding; Hongwei Liu 001; Yinghua Wang (Signal Process., 2024)

Continual learning and its industrial applications: A selective review. - J. Lian; Kevin Choi; Balaji Veeramani; Alison Hu; Sathvik Murli; Laura J. Freeman; Edward Bowen; Xinwei Deng (WIREs Data. Mining. Knowl. Discov., 2024)

An uncertainty quantification framework for agent-based modeling and simulation in networked anagram games. - Zhihao Hu; Xueying Liu; Xinwei Deng; Chris J. Kuhlman (J. Simulation, 2024)

An Efficient Filtering Approach for Model Estimation in Sparse Regression. - Yanran Wei; William Myers; Xinwei Deng (Stat. Anal. Data Min., 2024)

FAIR: Facilitating Artificial Intelligence Resilience in Manufacturing Industrial Internet. - Yingyan Zeng; Ismini Lourentzou; Xinwei Deng; Ran Jin (CSR, 2025)

A 12 μA -82 dB PSR LDO with PSR enhance technique and dynamic compensation technique. - Shangzheng Yang; Xinwei Deng; Weibo Hu (IEICE Electron. Express, 2025)

Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability. - Simin Zheng; Jared M. Clark; Fatemeh Salboukh; Priscila Silva; Karen da Mata; Fenglian Pan; Jie Min; Jiayi Lian; Caleb B. King; Lance Fiondella; Jian Liu; Xinwei Deng; et al. (CoRR, 2025)

Performance Evaluation of Large Language Models in Statistical Programming. - Xinyi Song; Kexin Xie; Lina Lee; Ruizhe Chen; Jared M. Clark; Hao He; Haoran He; Jie Min; Xinlei Zhang; Simin Zheng; Zhiyang Zhang; Xinwei Deng; et al. (CoRR, 2025)

StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis. - Xinyi Song; Lina Lee; Kexin Xie; Xueying Liu; Xinwei Deng; Yili Hong 001 (CoRR, 2025)

A multifacet hierarchical sentiment-topic model with application to multi-brand online review analysis. - Qiao Liang; Xinwei Deng (Stat. Comput., 2025)

Prediction of Hospital Associated Infections During Continuous Hospital Stays. - Rituparna Datta; Methun Kamruzzaman; Eili Y. Klein; Gregory Madden; Xinwei Deng; Anil Vullikanti; Parantapa Bhattacharya (CoRR, 2025)