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2020 – today
- 2024
[j34]Zhihao Hu, Xueying Liu, Xinwei Deng, Chris J. Kuhlman:
An uncertainty quantification framework for agent-based modeling and simulation in networked anagram games. J. Simulation 18(4): 505-523 (2024)- [j33]Yanran Wei
, William Myers, Xinwei Deng:
An Efficient Filtering Approach for Model Estimation in Sparse Regression. Stat. Anal. Data Min. 17(5) (2024) - [j32]Ting Chen, Shuai Guo, Xinwei Deng, Penghui Wang, Jun Ding, Hongwei Liu, Yinghua Wang:
CVPCNN: Conditionally variational parameterized convolution neural network for HRRP target recognition with imperfect side information. Signal Process. 218: 109391 (2024) - [j31]J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Sathvik Murli, Laura J. Freeman, Edward Bowen, Xinwei Deng:
Continual learning and its industrial applications: A selective review. WIREs Data. Mining. Knowl. Discov. 14(6) (2024) - 2023
- [j30]Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
Uncertainty Visualization for Characterizing Heterogeneous Human Behaviors in discrete dynamical System Models. Adv. Complex Syst. 26(3): 2340001:1-2340001:35 (2023) - [j29]Fan Zhang, Ray-Bing Chen, Ying Hung, Xinwei Deng:
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments. Comput. Stat. Data Anal. 185: 107757 (2023) - [j28]Sungku Kang, Ran Jin, Xinwei Deng, Ron S. Kenett:
Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective. J. Intell. Manuf. 34(2): 415-428 (2023) - [j27]Xinwei Deng, Xuewei Shi, Haosen Wang, Qianli Wang, Jun Bao, Zhuming Chen:
An Indoor Fire Detection Method Based on Multi-Sensor Fusion and a Lightweight Convolutional Neural Network. Sensors 23(24): 9689 (2023) - [j26]Qiao Liang, Shyam Ranganathan, Kaibo Wang, Xinwei Deng:
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction. Technometrics 65(1): 57-69 (2023) - [j25]Xiaoyu Chen, Xiaoning Kang, Ran Jin, Xinwei Deng:
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing. Technometrics 65(2): 206-219 (2023) - [j24]Peng Xu, Xinwei Deng, Alejandro Salado:
A UCB-Based Tree Search Approach to Joint Verification-Correction Strategy for Large-Scale Systems. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5430-5441 (2023) - [c19]Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
Learning Common Knowledge Networks Via Exponential Random Graph Models. ASONAM 2023: 213-220 - [c18]Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
A Calibration Model For Bot-Like Behaviors In Agent-Based Anagram Game Simulation. WSC 2023: 221-232 - [i12]Li Xu, Yili Hong, Eric P. Smith, David S. McLeod, Xinwei Deng, Laura J. Freeman:
Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data. CoRR abs/2311.08661 (2023) - 2022
- [j23]Xiaoning Kang, Lulu Kang, Wei Chen, Xinwei Deng:
A generative approach to modeling data with quantitative and qualitative responses. J. Multivar. Anal. 190: 104952 (2022) - [j22]Yueyao Wang, I-Chen Lee, Yili Hong, Xinwei Deng:
Building degradation index with variable selection for multivariate sensory data. Reliab. Eng. Syst. Saf. 227: 108704 (2022) - [j21]Peng Xu, Alejandro Salado, Xinwei Deng:
A Parallel Tempering Approach for Efficient Exploration of the Verification Tradespace in Engineered Systems. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 7223-7235 (2022) - [c17]Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
Bayesian Approach to Uncertainty Visualization of Heterogeneous Behaviors in Modeling Networked Anagram Games. COMPLEX NETWORKS (2) 2022: 595-607 - [c16]Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Jing Huang, Lawrence Carin, Fan Li, Chenyang Tao:
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. NeurIPS 2022 - [c15]Jianwei Li, Xinwei Deng, Shilin Zhao, Ziyu Wang, Xinyue Wang:
Ultra-Low-Loss Graphene Coated Optical Fiber Polarizer with PMMA Enhancement. OECC/PSC 2022: 1-3 - [c14]Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
A Bayesian Uncertainty Quantification Approach for Agent-Based Modeling of Networked Anagram Games. WSC 2022: 310-321 - [i11]Peng Xu, Xinwei Deng, Alejandro Salado:
A UCB-based Tree Search Approach to Joint Verification-Correction Strategy for Large Scale Systems. CoRR abs/2204.00925 (2022) - [i10]J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng:
Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm. CoRR abs/2208.09953 (2022) - [i9]Sumin Shen, Huiying Mao, Zezhong Zhang, Zili Chen, Keyu Nie, Xinwei Deng:
Boosting Sensitivity of Large-scale Online Experimentation via Dropout Buyer Imputation. CoRR abs/2209.06125 (2022) - 2021
- [j20]Xiaoning Kang, Xiaoyu Chen, Ran Jin, Hao Wu, Xinwei Deng:
Multivariate regression of mixed responses for evaluation of visualization designs. IISE Trans. 53(3): 313-325 (2021) - [j19]Sungku Kang, Xinwei Deng, Ran Jin:
A Cost-Efficient Data-Driven Approach to Design Space Exploration for Personalized Geometric Design in Additive Manufacturing. J. Comput. Inf. Sci. Eng. 21(6) (2021) - [j18]Qian Xiao, Abhyuday Mandal, C. Devon Lin, Xinwei Deng:
EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors. SIAM/ASA J. Uncertain. Quantification 9(2): 333-353 (2021) - [j17]Shuyu Chu, Huijing Jiang, Zhengliang Xue, Xinwei Deng:
Adaptive Convex Clustering of Generalized Linear Models With Application in Purchase Likelihood Prediction. Technometrics 63(2): 171-183 (2021) - [j16]Qian Wu, Xinwei Deng, Shiren Wang, Li Zeng:
Constrained Varying-Coefficient Model for Time-Course Experiments in Soft Tissue Fabrication. Technometrics 63(2): 249-262 (2021) - [c13]Ying Xu, Stacy M. Branham, Xinwei Deng, Penelope Collins, Mark Warschauer:
Are Current Voice Interfaces Designed to Support Children's Language Development? CHI 2021: 633:1-633:12 - [c12]Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
Versatile Uncertainty Quantification of Contrastive Behaviors for Modeling Networked Anagram Games. COMPLEX NETWORKS 2021: 644-656 - [c11]Parshin Shojaee, Yingyan Zeng, Xiaoyu Chen, Ran Jin, Xinwei Deng, Chuck Zhang:
Deep Neural Network Pipelines for Multivariate Time Series Classification in Smart Manufacturing. ICPS 2021: 98-103 - [c10]Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
An Uncertainty Quantification Approach For Agent-Based Modeling Of Human Behavior In Networked Anagram Games. WSC 2021: 1-12 - [i8]Xia Cai, Li Xu, C. Devon Lin, Yili Hong, Xinwei Deng:
Sequential Design of Computer Experiments with Quantitative and Qualitative Factors in Applications to HPC Performance Optimization. CoRR abs/2101.02206 (2021) - [i7]Qiao Liang, Shyam Ranganathan, Kaibo Wang, Xinwei Deng:
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction. CoRR abs/2102.11048 (2021) - [i6]Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao:
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. CoRR abs/2107.01131 (2021) - [i5]Peng Xu, Alejandro Salado, Xinwei Deng:
A Parallel Tempering Approach for Efficient Exploration of the Verification Tradespace in Engineered Systems. CoRR abs/2109.11704 (2021) - [i4]Yili Hong, Jiayi Lian, Li Xu, Jie Min, Yueyao Wang, Laura J. Freeman, Xinwei Deng:
Statistical Perspectives on Reliability of Artificial Intelligence Systems. CoRR abs/2111.05391 (2021) - 2020
- [j15]Yifu Li, Hongyue Sun, Xinwei Deng, Chuck Zhang, Hsu-Pin (Ben) Wang, Ran Jin:
Manufacturing quality prediction using smooth spatial variable selection estimator with applications in aerosol jet®printed electronics manufacturing. IISE Trans. 52(3): 321-333 (2020) - [j14]Weijun Xie, Xinwei Deng:
Scalable Algorithms for the Sparse Ridge Regression. SIAM J. Optim. 30(4): 3359-3386 (2020) - [j13]Vanessa Cedeno-Mieles, Zhihao Hu, Yihui Ren, Xinwei Deng, Abhijin Adiga, Christopher L. Barrett, Noshir Contractor, Saliya Ekanayake, Joshua M. Epstein, Brian J. Goode, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Michael W. Macy, Madhav V. Marathe, Naren Ramakrishnan, S. S. Ravi, Parang Saraf, Nathan Self:
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework. Soc. Netw. Anal. Min. 10(1): 11 (2020) - [j12]Sumin Shen, Lulu Kang, Xinwei Deng:
Additive Heredity Model for the Analysis of Mixture-of-Mixtures Experiments. Technometrics 62(2): 265-276 (2020) - [j11]Xiaoning Kang, Xinwei Deng:
Design and analysis of computer experiments with quantitative and qualitative inputs: A selective review. WIREs Data Mining Knowl. Discov. 10(3) (2020) - [i3]Jiayi Lian, Laura J. Freeman, Yili Hong, Xinwei Deng:
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments. CoRR abs/2010.15551 (2020)
2010 – 2019
- 2019
- [j10]Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng:
A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition. J. Comput. Sci. 36 (2019) - [c9]Vanessa Cedeno-Mieles, Zhihao Hu, Xinwei Deng, Yihui Ren, Abhijin Adiga, Christopher L. Barrett, Saliya Ekanayake, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy:
Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games. ASONAM 2019: 357-364 - [c8]Zhihao Hu, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Yihui Ren, Vanessa Cedeno-Mieles, Saliya Ekanayake, Xinwei Deng, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Abhijin Adiga, Gizem Korkmaz, Chris J. Kuhlman:
On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game. WSC 2019: 169-180 - 2018
- [j9]Qing Lan, Hongyue Sun, John Robertson, Xinwei Deng, Ran Jin:
Non-invasive assessment of liver quality in transplantation based on thermal imaging analysis. Comput. Methods Programs Biomed. 164: 31-47 (2018) - [j8]Hao Wu, Xinwei Deng, Naren Ramakrishnan:
Sparse estimation of multivariate Poisson log-normal models from count data. Stat. Anal. Data Min. 11(2): 66-77 (2018) - [j7]Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng:
An Ensemble Kalman Filter Implementation Based on Modified Cholesky Decomposition for Inverse Covariance Matrix Estimation. SIAM J. Sci. Comput. 40(2) (2018) - [j6]Hongyue Sun, Prahalad K. Rao, Zhenyu James Kong, Xinwei Deng, Ran Jin:
Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process. IEEE Trans Autom. Sci. Eng. 15(1): 393-403 (2018) - [c7]Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng:
Graph Scan Statistics With Uncertainty. AAAI 2018: 2771-2778 - [c6]Yihui Ren, 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, Naren Ramakrishnan, S. S. Ravi, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy:
Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis. ASONAM 2018: 413-420 - [c5]Vanessa Cedeno-Mieles, Yihui Ren, Saliya Ekanayake, Brian J. Goode, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Henning S. Mortveit, Zhihao Hu, Xinwei Deng, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy:
Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments. WSC 2018: 774-785 - 2017
- [j5]Xinwei Deng, C. Devon Lin, K.-W. Liu, R. Kerry Rowe:
Additive Gaussian Process for Computer Models With Qualitative and Quantitative Factors. Technometrics 59(3): 283-292 (2017) - 2016
- [j4]Xin Wang, Su Wu, Kaibo Wang, Xinwei Deng, Liang Liu, Qi Cai:
A Spatial Calibration Model for Nanotube Film Quality Prediction. IEEE Trans Autom. Sci. Eng. 13(2): 903-917 (2016) - [j3]Huijing Jiang, Xinwei Deng, Vanessa López, Hendrik F. Hamann:
Online Updating of Computer Model Output Using Real-Time Sensor Data. Technometrics 58(4) (2016) - [i2]Hao Wu, Xinwei Deng, Naren Ramakrishnan:
Sparse Estimation of Multivariate Poisson Log-Normal Model and Inverse Covariance for Count Data. CoRR abs/1602.07337 (2016) - [i1]Elias D. Niño, Adrian Sandu, Xinwei Deng:
A Parallel Implementation of the Ensemble Kalman Filter Based on Modified Cholesky Decomposition. CoRR abs/1606.00807 (2016) - 2015
- [j2]Xinwei Deng, Ran Jin:
QQ Models: Joint Modeling for Quantitative and Qualitative Quality Responses in Manufacturing Systems. Technometrics 57(3): 320-331 (2015) - [c4]Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng:
A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition. ScalA@SC 2015: 4:1-4:8 - 2013
- [c3]Aurélie C. Lozano, Huijing Jiang, Xinwei Deng:
Robust sparse estimation of multiresponse regression and inverse covariance matrix via the L2 distance. KDD 2013: 293-301 - 2012
- [j1]J. P. Morgan, Xinwei Deng:
Experimental design. WIREs Data Mining Knowl. Discov. 2(2): 164-172 (2012)
2000 – 2009
- 2009
- [b1]Xinwei Deng:
Contributions to statistical learning and statistical quantification in nanomaterials. Georgia Institute of Technology, Atlanta, GA, USA, 2009 - 2007
- [c2]Wei Zhang, Chintha Tellambura, Xinwei Deng:
Performance Analysis of Transmit and Receive Antenna Selection with Space-Time Coding. GLOBECOM 2007: 3519-3523 - [c1]Xinwei Deng, Wei Zhang, Chintha Tellambura:
Amount of Fading Analysis for Transmit Antenna Selection in MIMO Systems. WCNC 2007: 1161-1165
Coauthor Index
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last updated on 2024-12-02 21:29 CET by the dblp team
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