Shih-wei Liao

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 11

Top Topics

Semantic Parser

Medical Imaging

High Level Abstraction

Reinforcement Learning

Top Venues

Publications

Shih-wei Liao, Cheng-Han Hsu, Jeng-Wei Lin, Yi-Ting Wu, Fang-Yie Leu
A Deep Learning-Based Chinese Semantic Parser for the Almond Virtual Assistant. Sensors 22 (5) (2022)
Jian Hu, Haibin Wu, Seth Austin Harding, Siyang Jiang, Shih-wei Liao
RIIT: Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning. CoRR (2021)
De-Yi Tsai, Seth Austin Harding, Ming-Fong Sie, Shih-wei Liao
Testbed Design and Performance Analysis for Multilayer Blockchains. IEEE ICBC (2021)
Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng, Shih-wei Liao
Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning. CIKM (2021)
Yen-Chih Liao, Yen-Shuo Su, Hao-Chen Tsai, Kuan-Yu Chiang, Seth Austin Harding, Ming-Fong Sie, Shih-wei Liao
View-Based Federated Byzantine Agreement System for Environmental Blockchain. BRAINS (2021)
Jingze Wu, Ming-Fong Sie, Seth Austin Harding, Chien-Lung Lin, San-Tai Wang, Shih-wei Liao
Multi-Layer Aggregate Verification for IoT Blockchain. BRAINS (2021)
Jian Hu, Seth Austin Harding, Haibin Wu, Shih-wei Liao
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning. CoRR (2020)
Ross Zhi Jian Choong, Seth Austin Harding, Bo-yen Tang, Shih-wei Liao
3-To-1 Pipeline: Restructuring Transfer Learning Pipelines for Medical Imaging Classification via Optimized GAN Synthetic Images. EMBC (2020)
Jeng-Wei Lin, Shih-wei Liao, Fang-Yie Leu
A Novel Bounded-Error Piecewise Linear Approximation Algorithm for Streaming Sensor Data in Edge Computing. INCoS (2019)
Yu-Jing Lin, Po-Wei Wu, Cheng-Han Hsu, I-Ping Tu, Shih-wei Liao
An Evaluation of Bitcoin Address Classification based on Transaction History Summarization. IEEE ICBC (2019)
Chi-Ning Chou, Yu-Jing Lin, Ren Chen, Hsiu-Yao Chang, I-Ping Tu, Shih-wei Liao
Personalized Difficulty Adjustment for Countering the Double-Spending Attack in Proof-of-Work Consensus Protocols. CoRR (2018)
Hung-Shuen Chen, Jr-Yuan Chiou, Cheng-yan Yang, Yi-jui Wu, Wei-chung Hwang, Hao-Chien Hung, Shih-wei Liao
Design and implementation of high-level compute on Android systems. ESTIMedia (2013)
Dehao Chen, Neil Vachharajani, Robert Hundt, Shih-wei Liao, Vinodha Ramasamy, Paul Yuan, Wenguang Chen, Weimin Zheng
Taming hardware event samples for FDO compilation. CGO (2010)
Shih-wei Liao, Tzu-Han Hung, Donald Nguyen, Chinyen Chou, Chia-Heng Tu, Hucheng Zhou
Machine learning-based prefetch optimization for data center applications. SC (2009)
Shih-wei Liao, Tzu-Han Hung, Donald Nguyen, Hucheng Zhou, Chinyen Chou, Chia-Heng Tu
Prefetch optimizations on large-scale applications via parameter value prediction. ICS (2009)