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Shih-Wei Liao
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- affiliation: Stanford University, USA
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2020 – today
- 2024
- [j17]Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao, Ching-Ray Chang:
Deep Q-learning with hybrid quantum neural network on solving maze problems. Quantum Mach. Intell. 6(1): 2 (2024) - [j16]Yen-Jui Chang, Wei-Ting Wang, Hao-Yuan Chen, Shih-Wei Liao, Ching-Ray Chang:
A novel approach for quantum financial simulation and quantum state preparation. Quantum Mach. Intell. 6(1): 24 (2024) - [c39]Cheng-Chieh Lin, Chia-Cheng Tsai, Shih-Wei Liao:
Incident Analysis of Decentralized Finance. ICBC 2024: 293-295 - [c38]Jian-Yu Shen
, Shih-Wei Liao
Evaluating and Enhancing Performance through Macro-Op Fusion Optimization with RISC-V. ICPP Workshops 2024: 33-37 - [i8]Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao, Ching-Ray Chang:
Quantum Embedding with Transformer for High-dimensional Data. CoRR abs/2402.12704 (2024) - 2023
- [j15]Song-Lin Wu, Xiang-Yu Wang, Ming-Yi Peng, Shih-Wei Liao:
Accelerating OpenVX through Halide and MLIR. J. Signal Process. Syst. 95(5): 571-584 (2023) - [j14]Bo-Yu Zhao, Ming-Yi Peng, Xiang-Yu Wang, Shih-Wei Liao:
Accelerating OpenVX Application Kernels Using Halide Scheduling. J. Signal Process. Syst. 95(5): 623-642 (2023) - [c37]Chia-Cheng Tsai, Cheng-Chieh Lin, Shih-Wei Liao:
Unveiling Vulnerabilities in DAO: A Comprehensive Security Analysis and Protective Framework. Blockchain 2023: 151-158 - [i7]Ching-Yu Chiang, I-Hua Chang, Shih-Wei Liao:
BLIP-Adapter: Parameter-Efficient Transfer Learning for Mobile Screenshot Captioning. CoRR abs/2309.14774 (2023) - [i6]Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao, Ching-Ray Chang:
Hybrid Quantum Neural Network in High-dimensional Data Classification. CoRR abs/2312.01024 (2023) - 2022
- [j13]Shih-wei Liao, Cheng-Han Hsu, Jeng-Wei Lin
A Deep Learning-Based Chinese Semantic Parser for the Almond Virtual Assistant. Sensors 22(5): 1891 (2022) - [c36]Zan-Jun Wang, Ching-Chun Jim Huang, Shih-Wei Liao, Zih-shiuan Spin Yuan:
A Two-Way Atomic Exchange Protocol for Peer-to-Peer Data Trading. SAI (3) 2022: 429-447 - 2021
- [c35]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: 43-44 - [c34]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: 169-172 - [c33]Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng
Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning. CIKM 2021: 2281-2290 - [c32]De-Yi Tsai, Seth Austin Harding, Ming-Fong Sie, Shih-wei Liao:
Testbed Design and Performance Analysis for Multilayer Blockchains. IEEE ICBC 2021: 1-5 - [c31]Pin-Wei Liao, Wei-Chung Hsu, Shih-Wei Liao:
Intra- and Inter- Layer Transformation to Reduce Memory Traffic for CNN Computation. ICPP Workshops 2021: 14:1-14:5 - [i5]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 abs/2102.03479 (2021) - 2020
- [j12]Shuo-Wen Chang
Reinforcement Learning for Improving the Accuracy of PM2.5 Pollution Forecast Under the Neural Network Framework. IEEE Access 8: 9864-9874 (2020) - [j11]Ren Chen, I-Ping Tu
Endex: Degree of Mining Power Decentralization for Proof-of-Work Based Blockchain Systems. IEEE Netw. 34(6): 266-271 (2020) - [j10]Yu-Pin Lin
Real-Time Identification of Irrigation Water Pollution Sources and Pathways with a Wireless Sensor Network and Blockchain Framework. Sensors 20(13): 3634 (2020) - [c30]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: 1596-1599 - [i4]Wei-Kang Fu, Yi-Shan Lin, Giovanni Campagna, De-Yi Tsai, Chun-Ting Liu, Chung-Huan Mei, Edward Y. Chang, Monica S. Lam, Shih-Wei Liao:
Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology. CoRR abs/2003.10128 (2020)
2010 – 2019
- 2019
- [j9]Jen-Wei Hu
Autonomous and malware-proof blockchain-based firmware update platform with efficient batch verification for Internet of Things devices. Comput. Secur. 86: 238-252 (2019) - [j8]Shih-Wei Liao, Shao-Yun Kuang, Chia-Lung Kao, Chia-Heng Tu:
A Halide-based Synergistic Computing Framework for Heterogeneous Systems. J. Signal Process. Syst. 91(3-4): 219-233 (2019) - [c29]Yu-Jing Lin, Po-Wei Wu, Cheng-Han Hsu, I-Ping Tu
An Evaluation of Bitcoin Address Classification based on Transaction History Summarization. IEEE ICBC 2019: 302-310 - [c28]Yu-Jing Lin, Po-Wei Wu, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao:
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. ICCV 2019: 5913-5921 - [c27]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: 123-132 - [c26]Shuo-Wen Chang, Shih-Wei Liao:
KUnet: Microscopy Image Segmentation With Deep Unet Based Convolutional Networks. SMC 2019: 3561-3566 - [i3]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. CoRR abs/1903.07994 (2019) - [i2]Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao:
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. CoRR abs/1908.07269 (2019) - 2018
- [j7]Ming-Hung Chen, Shi-Chen Wang, Shih-Wei Liao, I-Hsin Chung, Cheng-Fu Chou:
Deadline Is Not Enough: Importance-Aware Transmission Control Protocol for Server-Centric Data Centers. IEEE Syst. J. 12(2): 1543-1553 (2018) - [c25]Edward Y. Chang, Shih-Wei Liao, Chun-Ting Liu, Wei-Chen Lin, Pin-Wei Liao, Wei-Kang Fu, Chung-Huan Mei, Emily J. Chang:
DeepLinQ: Distributed Multi-Layer Ledgers for Privacy-Preserving Data Sharing. AIVR 2018: 173-178 - [c24]Chi-Ning Chou, Yu-Jing Lin, Ren Chen, Hsiu-Yao Chang, I-Ping Tu
Personalized Difficulty Adjustment for Countering the Double-Spending Attack in Proof-of-Work Consensus Protocols. iThings/GreenCom/CPSCom/SmartData 2018: 1456-1462 - [i1]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 abs/1807.02933 (2018) - 2017
- [j6]Shih-Wei Liao, Chia-Lung Kao, Yuki Shimizu:
A profile-guided synergistic computation framework for Halide. J. Syst. Archit. 81: 54-61 (2017) - 2016
- [c23]Shih-Wei Liao, Sheng-Jun Tsai, Chieh-Hsun Yang, Chen-Kang Lo:
Locality-Aware Scheduling for Stencil Code in Halide. ICPP Workshops 2016: 72-77 - 2015
- [c22]Chi-Ou Chen, Ye-Qi Zhuo, Chao-Chun Yeh, Che-Min Lin, Shih-Wei Liao:
Machine Learning-Based Configuration Parameter Tuning on Hadoop System. BigData Congress 2015: 386-392 - 2013
- [c21]Shih-Wei Liao:
High-level compute APIs and performance portability on Android. ESTIMedia 2013: 1 - [c20]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: 96-104 - 2010
- [c19]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: 42-52
2000 – 2009
- 2009
- [c18]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: 519-520 - [c17]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 - 2007
- [c16]Hongwei Wang, Heming Zhang, Shih-Wei Liao:
A Service Oriented Paradigm to Support Collaborative Product development. CSCWD 2007: 240-245 - [c15]Shih-Wei Liao, Shih-Hao Hung
Scalable Lossless High Definition Image Coding on Multicore Platforms. EUC 2007: 742-753 - [c14]Shih-Wei Liao, Keqiang Wu:
DJ: A Transparent Java-Integrated Data Access System. ICEBE 2007: 669-676 - [c13]Yuanhao Sun, Tianyou Li, Qi Zhang, Jia Yang, Shih-Wei Liao:
Parallel XML Transformations on Multi-Core Processors. ICEBE 2007: 701-708 - [c12]Hongwei Wang, Shih-Wei Liao, Heming Zhang:
Multi-disciplinary simulation and analysis of complex product in service oriented environment. SOCA 2007: 155-162 - 2006
- [c11]Shih-Wei Liao:
Parallelizing User-Defined and Implicit Reductions Globally on Multiprocessors. Asia-Pacific Computer Systems Architecture Conference 2006: 189-202 - [c10]Shih-Wei Liao, Zhaohui Du, Gansha Wu, Guei-Yuan Lueh:
Data and Computation Transformations for Brook Streaming Applications on Multiprocessors. CGO 2006: 196-207 - [c9]Kwei-Jay Lin, Shih-Wei Liao:
Service Monitoring and Management on Multicore Platforms. ICEBE 2006: 623-630 - 2005
- [j5]Mary W. Hall
Interprocedural parallelization analysis in SUIF. ACM Trans. Program. Lang. Syst. 27(4): 662-731 (2005) - [c8]Shih-Wei Liao, Zhaohui Du, Gansha Wu, Guei-Yuan Lueh:
A Code Generation Algorithm for Affine Partitioning Framework. ICPADS (2) 2005: 17-21 - [c7]Shih-Wei Liao, Zhaohui Du, Gansha Wu, Guei-Yuan Lueh:
Parallel Processing of A Raytracer for GPU vs. for CPU. PDPTA 2005: 1024-1030 - 2004
- [c6]Dongkeun Kim, Shih-Wei Liao, Perry H. Wang, Juan del Cuvillo, Xinmin Tian, Xiang Zou, Hong Wang, Donald Yeung, Milind Girkar, John Paul Shen:
Physical Experimentation with Prefetching Helper Threads on Intel's Hyper-Threaded Processors. CGO 2004: 27-38 - 2002
- [c5]Shih-Wei Liao, Perry H. Wang, Hong Wang, John Paul Shen, Gerolf Hoflehner, Daniel M. Lavery:
Post-Pass Binary Adaptation for Software-Based Speculative Precomputation. PLDI 2002: 117-128 - 2001
- [c4]Amy W. Lim, Shih-Wei Liao, Monica S. Lam:
Blocking and array contraction across arbitrarily nested loops using affine partitioning. PPoPP 2001: 103-112
1990 – 1999
- 1999
- [c3]Shih-Wei Liao, Amer Diwan, Robert P. Bosch Jr., Anwar M. Ghuloum, Monica S. Lam:
SUIF Explorer: An Interactive and Interprocedural Parallelizer. PPoPP 1999: 37-48 - 1998
- [j4]Mary W. Hall, Jennifer-Ann M. Anderson, Saman P. Amarasinghe, Brian R. Murphy, Shih-Wei Liao, Edouard Bugnion, Monica S. Lam:
Maximizing Multiprocessor Performance with the SUIF Compiler. Digit. Tech. J. 10(1): 71-80 (1998) - 1996
- [j3]Mary W. Hall
Maximizing Multiprocessor Performance with the SUIF Compiler. Computer 29(12): 84-89 (1996) - [j2]Saman P. Amarasinghe, Jennifer-Ann M. Anderson, Christopher S. Wilson, Shih-Wei Liao, Brian R. Murphy, Robert S. French, Monica S. Lam, Mary W. Hall
Multiprocessors from a software perspective. IEEE Micro 16(3): 52-61 (1996) - 1995
- [c2]Mary W. Hall
Interprocedural Analysis for Parallelization. LCPC 1995: 61-80 - [c1]Mary W. Hall, Saman P. Amarasinghe
Detecting Coarse - Grain Parallelism Using an Interprocedural Parallelizing Compiler. SC 1995: 49 - 1994
- [j1]Robert P. Wilson, Robert S. French, Christopher S. Wilson, Saman P. Amarasinghe, Jennifer-Ann M. Anderson, Steven W. K. Tjiang, Shih-Wei Liao, Chau-Wen Tseng, Mary W. Hall
SUIF: An Infrastructure for Research on Parallelizing and Optimizing Compilers. ACM SIGPLAN Notices 29(12): 31-37 (1994)
Coauthor Index
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