Thomas C. M. Lee

67 papers A* 1A 1B 2C 1Misc 2Journal 57Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors. J. Comput. Graph. Stat. Wei Du, Jan Hannig, Thomas C. M. Lee, Yi Su, Chunzhe Zhang
2025	J	`jnl`	Lipschitz Bandits with Stochastic Delayed Feedback. CoRR Zhongxuan Liu, Yue Kang, Thomas C. M. Lee
2024	J	`jnl`	Adversarial Examples Detection With Bayesian Neural Network. IEEE Trans. Emerg. Top. Comput. Intell. Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee
2024	J	`jnl`	Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems. CoRR Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee
2024	J	`jnl`	Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging. CoRR Xiawei Wang, James Sharpnack, Thomas C. M. Lee
2024	J	`jnl`	Low-rank Matrix Bandits with Heavy-tailed Rewards. CoRR Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee
2024	J	`jnl`	Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits. Trans. Mach. Learn. Res. Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee
2024	J	`jnl`	Structural Break Detection in Non-Stationary Network Vector Autoregression Models. IEEE Trans. Netw. Sci. Eng. Yi Han, Thomas C. M. Lee
2024	J	`jnl`	Uncovering Distortion Differences: A Study of Adversarial Attacks and Machine Discriminability. IEEE Access Xiawei Wang, Yao Li, Cho-Jui Hsieh, Thomas C. M. Lee
2023	J	`jnl`	Fast block-wise partitioning for extreme multi-label classification. Data Min. Knowl. Discov. Yuefeng Liang, Cho-Jui Hsieh, Thomas C. M. Lee
2023	J	`jnl`	High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference. J. Comput. Graph. Stat. Zhenyu Wei, Thomas C. M. Lee
2023	J	`jnl`	Online Continuous Hyperparameter Optimization for Contextual Bandits. CoRR Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee
2023	J	`jnl`	Robust Lipschitz Bandits to Adversarial Corruptions. CoRR Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee
2022	J	`jnl`	Change Point Detection and Node Clustering for Time Series of Graphs. IEEE Trans. Signal Process. Cong Xu, Thomas C. M. Lee
2022	Misc	`conf`	Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling. ICASSP Zhenyu Wei, Raymond K. W. Wong, Thomas C. M. Lee
2022	J	`jnl`	Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks. IEEE Trans. Signal Inf. Process. over Networks Cong Xu, Thomas C. M. Lee
2022	J	`jnl`	Uncertainty Quantification for Sparse Estimation of Spectral Lines. IEEE Trans. Signal Process. Yi Han, Thomas C. M. Lee
2022	J	`jnl`	Uncertainty Quantification in Graphon Estimation Using Generalized Fiducial Inference. IEEE Trans. Signal Inf. Process. over Networks Yi Su, Jan Hannig, Thomas C. M. Lee
2022	J	`jnl`	Uncertainty quantification for honest regression trees. Comput. Stat. Data Anal. Suofei Wu, Jan Hannig, Thomas C. M. Lee
2021	J	`jnl`	A Review of Adversarial Attack and Defense for Classification Methods. CoRR Yao Li, Minhao Cheng, Cho-Jui Hsieh, Thomas C. M. Lee
2021	J	`jnl`	Detecting Adversarial Examples with Bayesian Neural Network. CoRR Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee
2021	J	`jnl`	Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference. J. Comput. Graph. Stat. Randy C. S. Lai, Jan Hannig, Thomas C. M. Lee
2021	A*	`conf`	Towards Robustness of Deep Neural Networks via Regularization. ICCV Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh
2020	J	`jnl`	Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting. SIAM J. Math. Data Sci. Miles E. Lopes, Suofei Wu, Thomas C. M. Lee
2020	J	`jnl`	Network Estimation via Graphon With Node Features. IEEE Trans. Netw. Sci. Eng. Yi Su, Raymond K. W. Wong, Thomas C. M. Lee
2020	J	`jnl`	Simultaneous Detection of Multiple Change Points and Community Structures in Time Series of Networks. IEEE Trans. Signal Inf. Process. over Networks Rex C. Y. Cheung, Alexander Aue, Seungyong Hwang, Thomas C. M. Lee
2020	J	`jnl`	Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models. Technometrics Qi Gao, Randy C. S. Lai, Thomas C. M. Lee, Yao Li
2019	J	`jnl`	Locally linear embedding with additive noise. Pattern Recognit. Lett. Justin Wang, Raymond K. W. Wong, Thomas C. M. Lee
2019	J	`jnl`	Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting. CoRR Miles E. Lopes, Suofei Wu, Thomas C. M. Lee
2018	J	`jnl`	Block-wise Partitioning for Extreme Multi-label Classification. CoRR Yuefeng Liang, Cho-Jui Hsieh, Thomas C. M. Lee
2018	J	`jnl`	Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding. CoRR Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus
2018	J	`jnl`	Segmenting Dynamic Network Data. CoRR Rex C. Y. Cheung, Alexander Aue, Thomas C. M. Lee
2017	J	`jnl`	Consistent Estimation for Partition-Wise Regression and Classification Models. IEEE Trans. Signal Process. Rex C. Y. Cheung, Alexander Aue, Thomas C. M. Lee
2017	J	`jnl`	High-dimensional variable selection in regression and classification with missing data. Signal Process. Qi Gao, Thomas C. M. Lee
2017	J	`jnl`	Matrix Completion with Noisy Entries and Outliers. J. Mach. Learn. Res. Raymond K. W. Wong, Thomas C. M. Lee
2017	J	`jnl`	Nonparametric modeling and break point detection for time series signal of counts. Signal Process. Qi Gao, Thomas C. M. Lee, Chun Yip Yau
2014	J	`jnl`	Computational issues of generalized fiducial inference. Comput. Stat. Data Anal. Jan Hannig, Randy C. S. Lai, Thomas C. M. Lee
2013	J	`jnl`	Morphological feature extraction for statistical learning with applications to solar image data. Stat. Anal. Data Min. David C. Stenning, Thomas C. M. Lee, David A. Van Dyk, Vinay L. Kashyap, Julia Sandell, C. Alex Young
2011	—	`ch.`	Fiducial Inference. International Encyclopedia of Statistical Science Jan Hannig, Hari Iyer, Thomas C. M. Lee
2010	J	`jnl`	Nonparametric cepstrum estimation via optimal risk smoothing. IEEE Trans. Signal Process. Randy C. S. Lai, Thomas C. M. Lee, Raymond K. W. Wong, Fang Yao
2010	J	`jnl`	On nonparametric local inference for density estimation. Comput. Stat. Data Anal. Ngai Hang Chan, Thomas C. M. Lee, Liang Peng
2010	B	`conf`	Stabilized thresholding with generalized sure for image denoising. ICIP Hsin-Cheng Huang, Thomas C. M. Lee
2010	B	`conf`	Statistically consistent image segmentation. ICIP Alexander Aue, Thomas C. M. Lee
2010	J	`jnl`	Structural break estimation of noisy sinusoidal signals. Signal Process. Raymond K. W. Wong, Randy C. S. Lai, Thomas C. M. Lee
2009	Misc	`conf`	Nonparametric spectral density estimation with missing observations. ICASSP Thomas C. M. Lee, Zhengyuan Zhu
2008	J	`jnl`	Extraction of curvilinear features from noisy point patterns using principal curves. Pattern Recognit. Lett. Haonan Wang, Thomas C. M. Lee
2007	A	`conf`	Curvilinear Feature Extraction for Noisy Point Pattern Images. ICME Haonan Wang, Thomas C. M. Lee
2007	J	`jnl`	Robust estimation of the self-similarity parameter in network traffic using wavelet transform. Signal Process. Haipeng Shen, Zhengyuan Zhu, Thomas C. M. Lee
2007	J	`jnl`	Robust penalized regression spline fitting with application to additive mixed modeling. Comput. Stat. Thomas C. M. Lee, Hee-Seok Oh
2007	J	`jnl`	Spectral Density Estimation Using Sharpened Periodograms. IEEE Trans. Signal Process. Fang Yao, Thomas C. M. Lee
2006	J	`jnl`	Automatic parameter selection for a Pattern Recognit. Lett. Haonan Wang, Thomas C. M. Lee
2006	J	`jnl`	Data Adaptive Median Filters for Signal and Image Denoising Using a Generalized SURE Criterion. IEEE Signal Process. Lett. Hsin-Cheng Huang, Thomas C. M. Lee
2006	J	`jnl`	Pattern Generation Using Likelihood Inference for Cellular Automata. IEEE Trans. Image Process. Radu V. Craiu, Thomas C. M. Lee
2005	—	`conf`	A Self-Consistent Wavelet Method for Denoising Images with Missing Pixels. ICASSP (2) Thomas C. M. Lee, Xiao-Li Meng
2005	J	`jnl`	Hybrid local polynomial wavelet shrinkage: wavelet regression with automatic boundary adjustment. Comput. Stat. Data Anal. Hee-Seok Oh, Thomas C. M. Lee
2005	J	`jnl`	Model Selection for the Competing-Risks Model With and Without Masking. Technometrics Radu V. Craiu, Thomas C. M. Lee
2004	J	`jnl`	Automatic polynomial wavelet regression. Stat. Comput. Thomas C. M. Lee, Hee-Seok Oh
2004	J	`jnl`	Kernel smoothing of periodograms under Kullback-Leibler discrepancy. Signal Process. Jan Hannig, Thomas C. M. Lee
2003	J	`jnl`	Nonparametric log spectrum estimation using disconnected regression splines and genetic algorithms. Signal Process. Thomas C. M. Lee, Tan F. Wong
2003	J	`jnl`	Smoothing parameter selection for smoothing splines: a simulation study. Comput. Stat. Data Anal. Thomas C. M. Lee
2001	J	`jnl`	A stabilized bandwidth selection method for kernel smoothing of the periodogram. Signal Process. Thomas C. M. Lee
2000	J	`jnl`	Erratum to: "Bandwidth Selection for Local Linear Regression: A Simulation Study" 4/1999, pp 515-532. Comput. Stat. Thomas C. M. Lee, Victor Solo
1999	J	`jnl`	Bandwidth selection for local linear regression: A simulation study. Comput. Stat. Thomas C. M. Lee, Victor Solo
1998	J	`jnl`	Segmenting Images Corrupted by Correlated Noise. IEEE Trans. Pattern Anal. Mach. Intell. Thomas C. M. Lee
1997	J	`jnl`	Nonparametric Estimation and Simulation of Two-Dimensional Gaussian Image Textures. CVGIP Graph. Model. Image Process. Thomas C. M. Lee, Mark Berman
1997	—	`conf`	Segmenting Images Corrupted by Correlated Noise. ICIP (1) Thomas C. M. Lee
1994	C	`conf`	A Stochastic Tessellation of Digital Space. ISMM Thomas C. M. Lee, Richard Cowan