Thomas C. M. Lee

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 31

Top Topics

Additive Models

Top Venues

IEEE Trans. Signal Inf. Process. over Networks

IEEE Trans. Signal Process.

J. Comput. Graph. Stat.

Publications

Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee
Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024)
Yi Han, Thomas C. M. Lee
Structural Break Detection in Non-Stationary Network Vector Autoregression Models. IEEE Trans. Netw. Sci. Eng. 11 (5) (2024)
Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems. CoRR (2024)
Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee
Low-rank Matrix Bandits with Heavy-tailed Rewards. CoRR (2024)
Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee
Robust Lipschitz Bandits to Adversarial Corruptions. CoRR (2023)
Yuefeng Liang, Cho-Jui Hsieh, Thomas C. M. Lee
Fast block-wise partitioning for extreme multi-label classification. Data Min. Knowl. Discov. 37 (6) (2023)
Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee
Online Continuous Hyperparameter Optimization for Contextual Bandits. CoRR (2023)
Zhenyu Wei, Thomas C. M. Lee
High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference. J. Comput. Graph. Stat. 32 (1) (2023)
Cong Xu, Thomas C. M. Lee
Change Point Detection and Node Clustering for Time Series of Graphs. IEEE Trans. Signal Process. 70 (2022)
Yi Han, Thomas C. M. Lee
Uncertainty Quantification for Sparse Estimation of Spectral Lines. IEEE Trans. Signal Process. 70 (2022)
Suofei Wu, Jan Hannig, Thomas C. M. Lee
Uncertainty quantification for honest regression trees. Comput. Stat. Data Anal. 167 (2022)
Yi Su, Jan Hannig, Thomas C. M. Lee
Uncertainty Quantification in Graphon Estimation Using Generalized Fiducial Inference. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Zhenyu Wei, Raymond K. W. Wong, Thomas C. M. Lee
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling. ICASSP (2022)
Cong Xu, Thomas C. M. Lee
Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh
Towards Robustness of Deep Neural Networks via Regularization. ICCV (2021)
Randy C. S. Lai, Jan Hannig, Thomas C. M. Lee
Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference. J. Comput. Graph. Stat. 30 (4) (2021)
Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee
Detecting Adversarial Examples with Bayesian Neural Network. CoRR (2021)
Yao Li, Minhao Cheng, Cho-Jui Hsieh, Thomas C. M. Lee
A Review of Adversarial Attack and Defense for Classification Methods. CoRR (2021)
Qi Gao, Randy C. S. Lai, Thomas C. M. Lee, Yao Li
Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models. Technometrics 62 (4) (2020)
Yi Su, Raymond K. W. Wong, Thomas C. M. Lee
Network Estimation via Graphon With Node Features. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Rex C. Y. Cheung, Alexander Aue, Seungyong Hwang, Thomas C. M. Lee
Simultaneous Detection of Multiple Change Points and Community Structures in Time Series of Networks. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Miles E. Lopes, Suofei Wu, Thomas C. M. Lee
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting. SIAM J. Math. Data Sci. 2 (4) (2020)
Justin Wang, Raymond K. W. Wong, Thomas C. M. Lee
Locally linear embedding with additive noise. Pattern Recognit. Lett. 123 (2019)
Miles E. Lopes, Suofei Wu, Thomas C. M. Lee
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting. CoRR (2019)
Yuefeng Liang, Cho-Jui Hsieh, Thomas C. M. Lee
Block-wise Partitioning for Extreme Multi-label Classification. CoRR (2018)
Rex C. Y. Cheung, Alexander Aue, Thomas C. M. Lee
Segmenting Dynamic Network Data. CoRR (2018)
Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding. CoRR (2018)
Rex C. Y. Cheung, Alexander Aue, Thomas C. M. Lee
Consistent Estimation for Partition-Wise Regression and Classification Models. IEEE Trans. Signal Process. 65 (14) (2017)
Qi Gao, Thomas C. M. Lee, Chun Yip Yau
Nonparametric modeling and break point detection for time series signal of counts. Signal Process. 138 (2017)
Qi Gao, Thomas C. M. Lee
High-dimensional variable selection in regression and classification with missing data. Signal Process. 131 (2017)
Raymond K. W. Wong, Thomas C. M. Lee
Matrix Completion with Noisy Entries and Outliers. J. Mach. Learn. Res. 18 (2017)
Jan Hannig, Randy C. S. Lai, Thomas C. M. Lee
Computational issues of generalized fiducial inference. Comput. Stat. Data Anal. 71 (2014)
David C. Stenning, Thomas C. M. Lee, David A. Van Dyk, Vinay Kashyap, Julia Sandell, C. Alex Young
Morphological feature extraction for statistical learning with applications to solar image data. Stat. Anal. Data Min. 6 (4) (2013)
Alexander Aue, Thomas C. M. Lee
Statistically consistent image segmentation. ICIP (2010)
Randy C. S. Lai, Thomas C. M. Lee, Raymond K. W. Wong, Fang Yao
Nonparametric cepstrum estimation via optimal risk smoothing. IEEE Trans. Signal Process. 58 (3) (2010)
Ngai Hang Chan, Thomas C. M. Lee, Liang Peng
On nonparametric local inference for density estimation. Comput. Stat. Data Anal. 54 (2) (2010)
Raymond K. W. Wong, Randy C. S. Lai, Thomas C. M. Lee
Structural break estimation of noisy sinusoidal signals. Signal Process. 90 (1) (2010)
Hsin-Cheng Huang, Thomas C. M. Lee
Stabilized thresholding with generalized sure for image denoising. ICIP (2010)
Thomas C. M. Lee, Zhengyuan Zhu
Nonparametric spectral density estimation with missing observations. ICASSP (2009)
Haonan Wang, Thomas C. M. Lee
Extraction of curvilinear features from noisy point patterns using principal curves. Pattern Recognit. Lett. 29 (16) (2008)
Haonan Wang, Thomas C. M. Lee
Curvilinear Feature Extraction for Noisy Point Pattern Images. ICME (2007)
Thomas C. M. Lee, Hee-Seok Oh
Robust penalized regression spline fitting with application to additive mixed modeling. Comput. Stat. 22 (1) (2007)
Haipeng Shen, Zhengyuan Zhu, Thomas C. M. Lee
Robust estimation of the self-similarity parameter in network traffic using wavelet transform. Signal Process. 87 (9) (2007)
Fang Yao, Thomas C. M. Lee
Spectral Density Estimation Using Sharpened Periodograms. IEEE Trans. Signal Process. 55 (9) (2007)
Haonan Wang, Thomas C. M. Lee
-segments algorithm for computing principal curves. Pattern Recognit. Lett. 27 (10) (2006)
Hsin-Cheng Huang, Thomas C. M. Lee
Data Adaptive Median Filters for Signal and Image Denoising Using a Generalized SURE Criterion. IEEE Signal Process. Lett. 13 (9) (2006)
Radu V. Craiu, Thomas C. M. Lee
Pattern Generation Using Likelihood Inference for Cellular Automata. IEEE Trans. Image Process. 15 (7) (2006)
Hee-Seok Oh, Thomas C. M. Lee
Hybrid local polynomial wavelet shrinkage: wavelet regression with automatic boundary adjustment. Comput. Stat. Data Anal. 48 (4) (2005)
Radu V. Craiu, Thomas C. M. Lee
Model Selection for the Competing-Risks Model With and Without Masking. Technometrics 47 (4) (2005)
Thomas C. M. Lee, Xiao-Li Meng
A Self-Consistent Wavelet Method for Denoising Images with Missing Pixels. ICASSP (2) (2005)
Thomas C. M. Lee, Hee-Seok Oh
Automatic polynomial wavelet regression. Stat. Comput. 14 (4) (2004)
Jan Hannig, Thomas C. M. Lee
Kernel smoothing of periodograms under Kullback-Leibler discrepancy. Signal Process. 84 (7) (2004)
Thomas C. M. Lee, Tan F. Wong
Nonparametric log spectrum estimation using disconnected regression splines and genetic algorithms. Signal Process. 83 (1) (2003)
Thomas C. M. Lee
Smoothing parameter selection for smoothing splines: a simulation study. Comput. Stat. Data Anal. 42 (1-2) (2003)
Thomas C. M. Lee
A stabilized bandwidth selection method for kernel smoothing of the periodogram. Signal Process. 81 (2) (2001)
Thomas C. M. Lee, Victor Solo
Erratum to: "Bandwidth Selection for Local Linear Regression: A Simulation Study" 4/1999, pp 515-532. Comput. Stat. 15 (2) (2000)
Thomas C. M. Lee, Victor Solo
Bandwidth selection for local linear regression: A simulation study. Comput. Stat. 14 (4) (1999)
Thomas C. M. Lee
Segmenting Images Corrupted by Correlated Noise. IEEE Trans. Pattern Anal. Mach. Intell. 20 (5) (1998)
Thomas C. M. Lee, Mark Berman
Nonparametric Estimation and Simulation of Two-Dimensional Gaussian Image Textures. CVGIP Graph. Model. Image Process. 59 (6) (1997)
Thomas C. M. Lee
Segmenting Images Corrupted by Correlated Noise. ICIP (1) (1997)
Thomas C. M. Lee, Richard Cowan
A Stochastic Tessellation of Digital Space. ISMM (1994)