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Ming-Liang Wei
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Journal Articles
- 2023
- [j4]Ming-Liang Wei, Mikail Yayla, Shu-Yin Ho, Jian-Jia Chen, Hussam Amrouch, Chia-Lin Yang:
Impact of Non-Volatile Memory Cells on Spiking Neural Network Annealing Machine With In-Situ Synapse Processing. IEEE Trans. Circuits Syst. I Regul. Pap. 70(11): 4380-4393 (2023) - 2014
- [j3]Wei-Sheng Wu, Ming-Liang Wei, Chia-Ming Yeh, Darby Tien-Hao Chang:
A regulatory similarity measure using the location information of transcription factor binding sites in Saccharomyces cerevisiae. BMC Syst. Biol. 8(S-5): S9 (2014) - 2013
- [j2]Chih-Hung Wu, I-Sheng Lin, Ming-Liang Wei:
Fuzzy Control of Target Approaching and Object-Grabbing for a Four-Wheeled Vision-Based Mobile Robot. J. Adv. Comput. Intell. Intell. Informatics 17(2): 343-350 (2013) - [j1]Chih-Hung Wu, I-Sheng Lin, Ming-Liang Wei, Tain-Yu Cheng:
Target Position Estimation by Genetic Expression Programming for Mobile Robots With Vision Sensors. IEEE Trans. Instrum. Meas. 62(12): 3218-3230 (2013)
Conference and Workshop Papers
- 2023
- [c8]Mikail Yayla, Simon Thomann, Md. Mazharul Islam, Ming-Liang Wei, Shu-Yin Ho, Ahmedullah Aziz, Chia-Lin Yang, Jian-Jia Chen, Hussam Amrouch:
Reliable Brain-inspired AI Accelerators using Classical and Emerging Memories. VTS 2023: 1-10 - 2021
- [c7]Ming-Liang Wei, Mikail Yayla, Shu-Yin Ho, Jian-Jia Chen, Chia-Lin Yang, Hussam Amrouch:
Binarized SNNs: Efficient and Error-Resilient Spiking Neural Networks through Binarization. ICCAD 2021: 1-9 - [c6]Ming-Liang Wei, Hussam Amrouch, Cheng-Lin Sung, Hang-Ting Lue, Chia-Lin Yang, Keh-Chung Wang, Chih-Yuan Lu:
Robust Brain-Inspired Computing: On the Reliability of Spiking Neural Network Using Emerging Non-Volatile Synapses. IRPS 2021: 1-8 - 2014
- [c5]Yueh-Lin Tsai, Ming-Liang Wei, Yu-Chen Chang-Chien, Yi-Ling Chung, Chao-Ming Cheng, Shu-Ling Cho, Hsueh-Chih Chen, Jon-Fan Hu:
Probing the structure and typicality of Chinese emotion words using Neural Networks. CogSci 2014 - [c4]Chung-Ching Wang, Yu-Lin Chang, Hsueh-Chih Chen, Ming-Liang Wei, Yi-Ling Chung, Jon-Fan Hu:
Learning Chinese Characters Approach Based on the Association between Character Components. CogSci 2014 - [c3]Chung-Ching Wang, Ming-Liang Wei, Yu-Lin Chang, Hsueh-Chih Chen, Yi-Ling Chung, Jon-Fan Hu:
Advanced Learning Chinese Characters Strategy Based on the Characteristics of Component and Character Frequency. CogSci 2014 - [c2]Ming-Liang Wei, Chung-Ching Wang, Yen-Cheng Chen, Yu-Lin Chang, Hsueh-Chih Chen, Jon-Fan Hu:
A Mathematical Approach to Investigate the Relationship between Association Memory and Latent Semantic Analysis for Word Meanings in English and Chinese. CogSci 2014 - [c1]Ming-Liang Wei, Chung-Ching Wang, Yu-Chen Chang-Chien, I-Chen Chen, Lee-Xieng Yang, Jon-Fan Hu:
A Self-Organizing Map Connectionist Modeling for Cross-Situational Word Learning in Early Infants. CogSci 2014
Informal and Other Publications
- 2023
- [i1]Mikail Yayla, Simon Thomann, Ming-Liang Wei, Chia-Lin Yang, Jian-Jia Chen, Hussam Amrouch:
HW/SW Codesign for Robust and Efficient Binarized SNNs by Capacitor Minimization. CoRR abs/2309.02111 (2023)
Coauthor Index
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