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Journal Articles
- 2022
[j1]Keng-Te Liao
, Bo-Wei Huang, Chih-Chun Yang, Shou-De Lin:
Bayesian mixture variational autoencoders for multi-modal learning. Mach. Learn. 111(12): 4329-4357 (2022)
Conference and Workshop Papers
- 2023
- [c7]Bo-Wei Huang, Wen Zhong Fang, Hsu Chen Liao, Tian-Li Yu:
Relational Bayesian Optimization for Permutation. GECCO Companion 2023: 471-474 - [c6]Yu-Rui Chen, Yi-Chun Liu, Zefu Zhao, Wan-Hsuan Hsieh, Jia-Yang Lee, Chien-Te Tu, Bo-Wei Huang, Jer-Fu Wang, Shee-Jier Chueh, Yifan Xing, Guan-Hua Chen, Hung-Chun Chou, Dong Soo Woo, Min-Hung Lee, Chee Wee Liu:
First Stacked Nanosheet FeFET Featuring Memory Window of 1.8V at Record Low Write Voltage of 2V and Endurance >1E11 Cycles. VLSI Technology and Circuits 2023: 1-2 - [c5]Yi-Chun Liu, Yu-Rui Chen, Yun-Wen Chen, Hsin-Cheng Lin, Wan-Hsuan Hsieh, Chien-Te Tu, Bo-Wei Huang, Wei-Jen Chen, Chun-Yi Cheng, Shee-Jier Chueh, Chee Wee Liu:
Extremely High-κ Hf0.2Zr0.8O2 Gate Stacks Integrated into Ge0.95Si0.05 Nanowire and Nanosheet nFETs Featuring Respective Record Ion per Footprint of 9200μA/μm and Record Ion per Stack of 360μA at VOV=VDS=0.5V. VLSI Technology and Circuits 2023: 1-2 - 2022
- [c4]Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao, Shou-De Lin:
Environment Diversification with Multi-head Neural Network for Invariant Learning. NeurIPS 2022 - [c3]Chung-En Tsai, Chun-Yi Cheng, Bo-Wei Huang, Hsin-Cheng Lin, Tao Chou, Chien-Te Tu, Yi-Chun Liu, Sun-Rong Jan, Yu-Rui Chen, Wan-Hsuan Hsieh, Kung-Ying Chiu, Shee-Jier Chueh, Chee Wee Liu:
Nearly Ideal Subthreshold Swing and Delay Reduction of Stacked Nanosheets Using Ultrathin Bodies. VLSI Technology and Circuits 2022: 401-402 - 2019
- [c2]Ming-Tsung Tsai, Ching-Lung Chu, Bo-Wei Huang, Chang-Hua Lien, Kuei-Hsiang Chao:
Design a DC Soild-State Circuit Breaker for smart grid application. CASE 2019: 818-822 - 2012
- [c1]Kun-Wei Wang, Bo-Wei Huang, Wen-Chih Peng:
An Efficient Geometry Data Allocation Algorithm in Cloud Computing Environments. ICPADS 2012: 260-267
Informal and Other Publications
- 2024
- [i3]Kerui Zhu, Bo-Wei Huang, Bowen Jin, Yizhu Jiao, Ming Zhong, Kevin Chang, Shou-De Lin, Jiawei Han:
Investigating Instruction Tuning Large Language Models on Graphs. CoRR abs/2408.05457 (2024) - 2023
- [i2]Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao, Shou-De Lin:
Environment Diversification with Multi-head Neural Network for Invariant Learning. CoRR abs/2308.08778 (2023) - [i1]Yun-Da Tsai, Yu-Che Tsai, Bo-Wei Huang, Chun-Pai Yang, Shou-De Lin:
AutoML-GPT: Large Language Model for AutoML. CoRR abs/2309.01125 (2023)
Coauthor Index
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