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Hung-Ming Lai
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2020 – today
- 2024
- [c6]Jhih-Kuan Lin
, Yu-Lun Yang
Rewriting and Optimizing Vector Length Agnostic Intrinsics from Arm SVE to RVV. ICPP Workshops 2024: 38-47 - 2023
- [c5]Hung-Ming Lai, Jenq-Kuen Lee, Yuan-Shin Hwang:
Enhancing LLVM Optimizations for Linear Recurrence Programs on RVV. ICPP Workshops 2023: 79-87 - [i1]Ju-Hung Li, Jhih-Kuan Lin, Yung-Cheng Su, Chi-Wei Chu, Lai-Tak Kuok, Hung-Ming Lai, Chao-Lin Lee, Jenq-Kuen Lee:
SIMD Everywhere Optimization from ARM NEON to RISC-V Vector Extensions. CoRR abs/2309.16509 (2023) - 2022
- [j3]Hua-Ping Liu, Jian V. Zhang, Dongwen Wang, Andreas Alexander Albrecht, Kathleen Steinhöfel
Extended endocrine therapy in breast cancer: A basket of length-constraint feature selection metaheuristics to balance Type I against Type II errors. J. Biomed. Informatics 131: 104112 (2022) - [c4]Meng-Shiuan Shih, Hung-Ming Lai, Chao-Lin Lee, Chung-Kai Chen, Jenq-Kuen Lee:
Register-Pressure Aware Predicator for Length Multiplier of RVV. ICPP Workshops 2022: 10:1-10:9 - [c3]Hung-Ming Lai, Jenq-Kuen Lee:
Efficient Support of the Scan Vector Model for RISC-V Vector Extension. ICPP Workshops 2022: 15:1-15:8 - 2021
- [j2]Hua-Ping Liu, Hung-Ming Lai, Zheng Guo
Prostate cancer early diagnosis: circulating microRNA pairs potentially beyond single microRNAs upon 1231 serum samples. Briefings Bioinform. 22(3) (2021)
2010 – 2019
- 2015
- [j1]Hung-Ming Lai, Celal Öztürk
A new vision of evaluating gene expression signatures. Comput. Biol. Chem. 57: 54-60 (2015) - 2014
- [c2]Hung-Ming Lai, Andreas Alexander Albrecht, Kathleen Steinhöfel:
A Framework for High-throughput Gene Signatures with Microarray-based Brain Cancer Gene Expression Profiling Data. ICAART (1) 2014: 211-220 - [c1]Hung-Ming Lai, Andreas Alexander Albrecht, Kathleen Steinhöfel
Robust Signature Discovery for Affymetrix GeneChip® Cancer Classification. ICAART (Revised Selected Papers) 2014: 329-345
Coauthor Index
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