Last update: August 23, 2024.
Books
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Piegorsch, Walter; Levine, Richard; Zhang, Helen and Lee, Thomas C. M. (Eds.). (2022), Computational Statistics in Data Science. Chichester: John Wiley & Sons. ISBN: 978-1-119-56107-1.
Refereed Conference Papers
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Lee, Thomas C. M. and Cowan, Richard (1994), "A Stochastic
Tessellation of Digital Space". In J. Serra and P. Soille, editors,
Mathematical Morphology and Its Applications to Image
Processing, 217-224, Kluwer Academic Publishers
[ps.gz].
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Lee, Thomas C. M. and Talbot, Hugues (1995), "A Fast Method
for Detecting and Matching Linear Features in Images",
Proceedings of DICTA-95, Digital Image Computing: Techniques and
Applications, Brisbane, 649-654 [ps.gz].
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Lee, Thomas C. M. (1997), "Segmenting Images Corrupted by
Correlated Noise", Proceedings of the IEEE 1997 International
Conference on Image Processing, Volumne 1, 247-250 [ps.gz].
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Lee, Thomas C. M. and Talbot, Hugues (1997), "Automatic
Reconnection of Linear Segments by the Minimum Description Length
Principle", Proceedings of DICTA-97, Digital Image Computing:
Techniques and Applications, Auckland, 555-560
[ps.gz].
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Lee, Thomas C. M. (1999), "Curve Estimation using Wavelets
and MDL", Proceedings of the 52nd Session of the ISI
(invited). [ps.gz].
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Storlie, Curtis; Davis, Chris; Hoar, Timothy; Lee, Thomas
C. M.; Nychka, Douglas; Weiss, Jeffrey and Whitcher, Brandon
(2004), "Identifying and Tracking Turbulence Structures",
Proceedings of the 38th Asilomar Conference on Signals, Systems,
and Computers, Pacific Grove, California, 1700-1704
[pdf].
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Lee, Thomas C. M. and Meng, Xiao-Li (2005), "A
Self-Consistent Wavelet Method for Denoising Images with Missing
Pixels", Proceedings of the 30th IEEE International Conference on
Acoustics, Speech, and Signal Processing Volume II, 41-44
[pdf (note: the typo in Eqn
(7) of the published version is corrected].
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Davis, Richard A.; Lee, Thomas C. M. and Rodriguez-Yam,
Gabriel A. (2005), "Structural Breaks Estimation for Non-stationary
Time Series Signals", Proceedings of the 2005 IEEE Workshop on
Statistical Signal Processing, in CD-ROM.
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Lee, Thomas C. M. and Wang, Haonan (2006), "On a
k-Segments Algorithm for Computing Principal Curves",
Proceedings of the 2006 IEEE Southwest Symposium on Image
Analysis and Interpretation, 183-187.
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Wong, Tan F. and Lee, Thomas C. M. (2006), "Multipath Model
Selection for UWB Channels", Proceedings of the 2006 IEEE
International Conference on Ultra-Wideband.
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Wang, Haonan and Lee, Thomas C. M. (2007), "Curvilinear
Feature Extraction for Noisy Point Pattern Images", Proceedings
of the 2007 IEEE International Conference on Multimedia and Expo,
1635-1638.
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Lee, Thomas C. M. and Zhu, Zhengyuan (2009), "Nonparametric
Spectral Density Estimation with Missing
Observations", Proceedings of the 34th IEEE International
Conference on Acoustics, Speech, and Signal Processing.
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Aue, Alexander and Lee, Thomas C. M. (2010), "Statistically
Consistent Image Segmentation", Proceedings of the IEEE 2010
International Conference on Image Processing.
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Huang, Hsin-Cheng and Lee, Thomas C. M. (2010), "Stabilized
Thresholding with Generalized SURE for Image Denoising",
Proceedings of the IEEE 2010 International Conference on Image
Processing.
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Li, Yao; Min, Martin R.; Lee, Thomas C. M.; Yu, Wenchao; Kruus, Erik; Wang, Wei and Hsieh, Cho-Jui (2021), "Towards Robustness of Deep Neural Networks via Regularization", Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 7496-7505.
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Ding, Qin; Kang, Yue; Liu, Yi-Wei; Lee, Thomas C. M.; Hsieh, Cho-Jui and Sharpnack, James (2022), "Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms", Advances in Neural Information Processing Systems (NeurIPS 2022) 35, 1170-1181.
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Kang, Yue; Hsieh, Cho-Jui and Lee, Thomas C. M. (2022), "Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems", Advances in Neural Information Processing Systems (NeurIPS 2022) 35, 19971-19983.
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Tang, Tongyi; Balasubramanian, Krishnakumar and Lee, Thomas C. M. (2022), "High-Probability Bounds for Robust Stochastic Frank-Wolfe Algorithm", Proceedings of 38th Conference on Uncertainty in Artificial Intelligence. (Amongst the top 5% of the submissions that were selected for spotlight oral presentations.)
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Wei, Zhenyu; Wong, Raymond K. W. and Lee, Thomas C. M. (2022), "Extending the Use of MDL for High-Dimensional Problems", Proceedings of the 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, 5707-5711.
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Kang, Yue; Hsieh, Cho-Jui and Lee, Thomas C. M. (2023), "Robust Lipschitz Bandits to Adversarial Corruptions", Advances in Neural Information Processing Systems (NeurIPS 2023) 36, 10897--10908.
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Kang, Yue; Hsieh, Cho-Jui and Lee, Thomas C. M. (2024), "Low-rank Matrix Bandits with Heavy-tailed Rewards", Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI).
Refereed Book Chapters
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Aue, Alexander and Lee, Thomas C. M. (2011), "Fast Scatterplot Smoothing Using Blockwise Least Squares Fitting", in Nonparametric Statistical Methods and Related Topics, A Festschrift in Honor of Professor P K Bhattacharya on the Occasion of His 80th Birthday, edited by J. Jiang, G. G. Roussas and F. J. Samaniego, 299-314, World Scientific Press.
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Hannig, Jan; Iyer, Hari and Lee, Thomas C. M. (2011), "Fiducial Inference", in International Encyclopedia of Statistical Science, edited by Miodrag Lovric, 515- 519, Springer.
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Stenning, David; Kashyap, Vinay; Lee, Thomas C. M; van Dyk, David A. andYoung, C. Alexander (2012), "Morphological Image Analysis and Its Application to Sunspot Classification", in Statistical Challenges in Modern Astronomy V, edited by G. Jogesh Babu and Eric D. Feigelson, 329-342, Springer.
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Li, Yao; Wang, Justin and Lee, Thomas C. M. (2022), "An Introduction to Deep Learning Methods", in Computational Statistics in Data Science, edited by Walter Piegorsch, Richard Levine, Helen Zhang and Thomas C. M. Lee, 43-58, Wiley.
Non-refereed Publications and Discussions
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Hudson, H. Malcolm and Lee, Thomas C. M. (1995), Invited
comments on "The Fast Monte-Carlo Cross-Validation and $C_L$
Procedures: Comments, New Results and Application to Image Recovery
Problems" by D. A. Girard, Computational Statistics
10, 239-241.
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Lee, Thomas C. M. and Berman, Mark (1996), "Nonparametric
Estimation and Simulation of Two-Dimensional Gaussian Image
Textures", Proceedings of the Interface 28, 115-120
[ps.gz].
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Lee, Thomas C. M. (1999), "Robust Fitting of Discontinuous
Regression Functions", Proceedings of the Interface 31,
476-481 [ps.gz].
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Lee, Thomas C. M. (2009), Invited discussion on "Forecasting functional time series" by R. J. Hyndman & H. L. Shang, Journal of the Korean Statistical Society 38, 217.
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Lee, Thomas C. M. (2012), Invited discussion on "Time-Threshold Maps: using information from wavelet reconstructions with all threshold values simultaneously" by P. Fryzlewicz, Journal of the Korean Statistical Society 41, 169-170.
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