A Framework for High-throughput Gene Signatures with Microarray-based Brain Cancer Gene Expression Profiling Data. - Hung-Ming Lai; Andreas Alexander Albrecht; Kathleen Steinhöfel (ICAART (1), 2014)

Robust Signature Discovery for Affymetrix GeneChip® Cancer Classification. - Hung-Ming Lai; Andreas Alexander Albrecht; Kathleen Steinhöfel (ICAART (Revised Selected Papers), 2014)

A new vision of evaluating gene expression signatures. - Hung-Ming Lai; Celal Öztürk; Andreas Alexander Albrecht; Kathleen Steinhöfel (Comput. Biol. Chem., 2015)

Prostate cancer early diagnosis: circulating microRNA pairs potentially beyond single microRNAs upon 1231 serum samples. - Hua-Ping Liu; Hung-Ming Lai; Zheng Guo 002 (Briefings Bioinform., 2021)

Efficient Support of the Scan Vector Model for RISC-V Vector Extension. - Hung-Ming Lai; Jenq-Kuen Lee (ICPP Workshops, 2022)

Register-Pressure Aware Predicator for Length Multiplier of RVV. - Meng-Shiuan Shih; Hung-Ming Lai; Chao-Lin Lee; Chung-Kai Chen; Jenq-Kuen Lee (ICPP Workshops, 2022)

Extended endocrine therapy in breast cancer: A basket of length-constraint feature selection metaheuristics to balance Type I against Type II errors. - Hua-Ping Liu; Jian V. Zhang; Dongwen Wang; Andreas Alexander Albrecht; Kathleen Steinhöfel; Hung-Ming Lai (J. Biomed. Informatics, 2022)

Enhancing LLVM Optimizations for Linear Recurrence Programs on RVV. - Hung-Ming Lai; Jenq-Kuen Lee; Yuan-Shin Hwang (ICPP Workshops, 2023)

SIMD Everywhere Optimization from ARM NEON to RISC-V Vector Extensions. - Ju-Hung Li; Jhih-Kuan Lin; Yung-Cheng Su; Chi-Wei Chu; Lai-Tak Kuok; Hung-Ming Lai; Chao-Lin Lee; Jenq-Kuen Lee (CoRR, 2023)

Rewriting and Optimizing Vector Length Agnostic Intrinsics from Arm SVE to RVV. - Jhih-Kuan Lin; Yu-Lun Yang; Hung-Ming Lai; Jenq-Kuen Lee (ICPP Workshops, 2024)