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ORCIDT. H. Lee
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2020 – today
- 2024
[c11]Daewon Ha, Y. Lee, S. Yoo, W. Lee, M. H. Cho, K. Yoo, S. M. Lee, S. Lee, M. Terai, T. H. Lee, J. H. Bae, K. J. Moon, C. Sung, M. Hong, D. G. Cho, K. Lee, S. W. Park, K. Park, Bong Jin Kuh, S. Hyun, Sujin Ahn, J. H. Song:
Exploring Innovative IGZO-channel based DRAM Cell Architectures and Key Technologies for Sub-10nm Node. IMW 2024: 1-4- [c10]C. W. Lin, P. C. Tsao, Y. L. Yang, C. C. Sun, C. C. Huang, C. W. Chen, C. K. Chang, Y. J. Ting, K. Koh, Ross Lee, W. C. Chen, Y. S. Huang, M. Z. Lee, C. T. Lai, T. H. Lee:
Utilizing Transformer Deep Learning Based Outlier Detection to Screen Out Reliability Weak ICs. IRPS 2024: 1-5 - [c9]Y. L. Yang, P. C. Tsao, C. W. Lin, H. Q. Chen, B. J. Huang, Hank Hsieh, Kerwin Chen, Ross Lee, Khim Koh, Y. J. Ting, B. C. Hsu, Y. S. Huang, Citi Lai, M. Z. Lee, T. H. Lee:
Vmin Shift Prediction Using Machine Learning-Based Methodology for Automotive Products. IRPS 2024: 3 - [c8]C. W. Lin, P. C. Tsao, Ross Lee, Khim Koh, Y. J. Ting, Jennifer Hsiao, C. T. Lai, T. H. Lee:
Boost CPU Turbo Yield Utilizing Explainable Artificial Intelligence. ITC 2024: 121-128 - 2023
- [c7]Y. L. Yang, P. C. Tsao, C. W. Lin, Ross Lee, Olivia Ni, T. T. Chen, Y. J. Ting, C. T. Lai, Jason Yeh, Arnold Yang, Wayne Huang, Peng Chen, Charly Tsai, Ryan Yang, Y. S. Huang, B. C. Hsu, M. Z. Lee, T. H. Lee, Michael Huang, Coming Chen, Liham Chu, H. W. Kao, N. S. Tsai:
Performing Machine Learning Based Outlier Detection for Automotive Grade Products. IRPS 2023: 1-5 - 2022
- [c6]S. Arunagirinathan
, Thangavel Saravanakumar, T. H. Lee:
Robust Attitude Sampled-data Control for Flexible Spacecraft under Randomly Missing Measurements and Attacks. ASCC 2022: 292-297
2010 – 2019
- 2017
- [j9]B. Ramesh, Cheng Xiang, T. H. Lee:
Multiple object cues for high performance vector quantization. Pattern Recognit. 67: 380-395 (2017)
2000 – 2009
- 2002
- [j8]T. H. Lee, X. Guo, G. D. Shen, Yuan Ji, G. H. Wang, J. Y. Du, X. Z. Wang, G. Gao, A. Altes, L. J. Balk:
Investigation of Tunnel-Regenerated Multi-Active-Region Light-Emitting Diodes (TRMAR LED) by Scanning Thermal Microscopy (STHM). Microelectron. Reliab. 42(9-11): 1711-1714 (2002) - 2001
- [j7]Weng Khuen Ho, T. H. Lee, H. P. Han, Y. Hong:
Self-tuning IMC-PID control with interval gain and phase margins assignment. IEEE Trans. Control. Syst. Technol. 9(3): 535-541 (2001) - [c5]T. H. Lee, Hak-Keung Lam, Frank H. F. Leung, Peter Kwong-Shun Tam:
A Fast Path Planning-and-Tracking Control for Wheeled Mobile Robots. ICRA 2001: 1736-1741 - 2000
- [c4]Kay Chen Tan, T. H. Lee, D. Khoo, E. F. Khor, R. S. Kannan:
MOEA toolbox for computer aided multi-objective optimization. CEC 2000: 38-45
1990 – 1999
- 1999
- [c3]Kay Chen Tan, T. H. Lee, E. F. Khor:
Evolutionary algorithms with goal and priority information for multi-objective optimization. CEC 1999: 106-116 - 1998
- [j6]Junhong Nie, T. H. Lee:
Rule-based control of Wiener-type nonlinear processes through self-organizing. Int. J. Syst. Sci. 29(3): 275-286 (1998) - 1997
- [j5]Junhong Nie, T. H. Lee, Derek A. Linkens:
A note on the integration of fuzzy systems with neural networks under a TLTT framework. Fuzzy Sets Syst. 87(3): 277-289 (1997) - [j4]Junhong Nie, T. H. Lee:
Self-organizing rule-based control of multivariable nonlinear servomechanisms. Fuzzy Sets Syst. 91(3): 285-304 (1997) - [j3]Junhong Nie, T. H. Lee:
Reconstructing Binary Signals by Rule-Based Fuzzy Equalizer with Self-Organizing Capability. J. Intell. Fuzzy Syst. 5(4): 313-322 (1997) - 1996
- [j2]Junhong Nie, T. H. Lee:
Rule-based modeling: fast construction and optimal manipulation. IEEE Trans. Syst. Man Cybern. Part A 26(6): 728-738 (1996) - 1995
- [c2]Junhong Nie, T. H. Lee:
A rule-based channel equalizer with learning capability. ICNN 1995: 606-611 - [c1]Junhong Nie, T. H. Lee:
Building fuzzy systems by soft competitive learning. ICNN 1995: 749-754 - 1994
- [j1]T. H. Lee, A. P. Loh, V. Srinivasan:
A technique for on-line parameter estimation based on an analog artificial neural net structure. Neurocomputing 6(4): 405-417 (1994)
Coauthor Index
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