SAGE: A New Analysis and Optimization System for FlexRAM Architecture. - Tsung-Chuan Huang; Slo-Li Chu (Intelligent Memory Systems, 2000)

A Comprehensive Statement-Based Analysis System for Tightly-Coupled Heterogeneous Environments. - Tsung-Chuan Huang; Slo-Li Chu (PDCS, 2001)

A new analyzing approach for intelligent memory systems. - Tsung-Chuan Huang; Slo-Li Chu (CATA, 2001)

A statement based parallelizing framework for processor-in-memory architectures. - Tsung-Chuan Huang; Slo-Li Chu (Inf. Process. Lett., 2003)

PSS: A Novel Statement Scheduling Mechanism for a High-Performance SoC Architecture. - Slo-Li Chu (ICPADS, 2004)

SAGE: an automatic analyzing system for a new high-performance SoC architecture–processor-in-memory. - Slo-Li Chu; Tsung-Chuan Huang (J. Syst. Archit., 2004)

Improving workload balance and code optimization on processor-in-memory systems. - Slo-Li Chu; Tsung-Chuan Huang; Lan-Chi Lee (J. Syst. Softw., 2004)

An Energy Reduction Scheduling Mechanism for a High-Performance SoC Architecture. - Slo-Li Chu (EUC, 2005)

POERS: A Performance-Oriented Energy Reduction Scheduling Technique for a High-Performance MPSoC Architecture. - Slo-Li Chu (ICPADS (2), 2005)

Toward to Utilize the Heterogeneous Multiple Processors of the Chip Multiprocessor Architecture. - Slo-Li Chu (EUC, 2007)

Critical Block Scheduling: A Thread-Level Parallelizing Mechanism for a Heterogeneous Chip Multiprocessor Architecture. - Slo-Li Chu (LCPC, 2007)

MediaMem: A dynamically adjustable memory subsystem for high-bandwidth required multimedia SoC systems. - Slo-Li Chu; Min-Jen Lo; Hsiao-Wen Yang (ACSAC, 2008)

Design a Hardware Mechanism to Utilize Multiprocessors on a Uni-processor Operating System. - Slo-Li Chu; Chih-Chieh Hsiao; Pin-Hua Chiu (ICA3PP, 2009)

OpenCL: Make Ubiquitous Supercomputing Possible. - Slo-Li Chu; Chih-Chieh Hsiao (HPCC, 2010)

A Dual-Mode Unified Shader with Frame-Based Dynamic Precision Adjustment for Mobile GPUs. - Slo-Li Chu; Chih-Chieh Hsiao; Chen-Yu Chen (EUC, 2011)

An Energy-Efficient Unified Register File for Mobile GPUs. - Slo-Li Chu; Chih-Chieh Hsiao; Chiu-Cheng Hsieh (EUC, 2011)

Content-aware smart remote control for Android-based TV. - Cheng-Liang Lin; Yi-Hsuan Hung; Huan-Yi Chen; Slo-Li Chu (ICCE, 2012)

Design a Low-Power Scheduling Mechanism for a Multicore Android System. - Slo-Li Chu; Shiue-Ru Chen; Sheng-Fu Weng (PAAP, 2012)

Self Similar Cubic: A Novel Interconnection Network for Many-Core Architectures. - Slo-Li Chu; Geng-Siao Lee; Yan-Wun Peng (PAAP, 2012)

A Hierarchical Triangle-Level Culling Technique for Tile-Based Rendering. - Chih-Chieh Hsiao; Slo-Li Chu (PAAP, 2012)

Demand-driven register file for multithreaded mobile GPUs. - Slo-Li Chu; Chih-Chieh Hsiao; Chiu-Cheng Hsieh (IEICE Electron. Express, 2012)

Optimizing Techniques for OpenCL Programs on Heterogeneous Platforms. - Slo-Li Chu; Chih-Chieh Hsiao (Int. J. Grid High Perform. Comput., 2012)

Program-based dynamic precision selection framework with a dual-mode unified shader for mobile GPUs. - Slo-Li Chu; Chih-Chieh Hsiao; Chen-Yu Chen (Comput. Electr. Eng., 2013)

Energy-aware hybrid precision selection framework for mobile GPUs. - Chih-Chieh Hsiao; Slo-Li Chu; Chen-Yu Chen (Comput. Graph., 2013)

Optimising space exploration of OpenCL for GPGPUs. - Slo-Li Chu; Chih-Chieh Hsiao (Int. J. Comput. Sci. Eng., 2014)

An Energy-Efficient demand-Driven Register File for Mobile GPUs. - Chih-Chieh Hsiao; Chiu-Cheng Hsieh; Slo-Li Chu (J. Circuits Syst. Comput., 2014)

Demand look-ahead memory access scheduling for 3D graphics processing units. - Chih-Chieh Hsiao; Min-Jen Lo; Slo-Li Chu (Multim. Tools Appl., 2014)

An Adaptive Thread Scheduling Mechanism With Low-Power Register File for Mobile GPUs. - Chih-Chieh Hsiao; Slo-Li Chu; Chiu-Cheng Hsieh (IEEE Trans. Multim., 2014)

Camellia: A Novel High Performance On-Chip Network for Multicore Architectures. - Slo-Li Chu; Sheng-Jie Shu; Ching-Chung Chen; Ching-Jung Chen (SKG, 2015)

Design a Novel Memory Network for Processor-in-Memory Architectures. - Slo-Li Chu; Wen-Chih Ho; Chien-Fang Chen; Kai-Wei Ceng; Ming-Han Liu (SKG, 2017)

Improving Arbitration and Buffer Management Techniques for Self Similar Cubic Network. - Slo-Li Chu; Wen-Chih Ho; Teng-Yao Hsu; Ching-Jung Chen; Ming-Han Liu (SKG, 2017)

Human Induced Pluripotent Stem Cell Reprogramming Prediction in Microscopy Images using LSTM based RNN. - Yuan-Hsiang Chang; Kuniya Abe; Hideo Yokota; Kazuhiro Sudo; Yukio Nakamura; Slo-Li Chu; Chih-Yung Hsu; Ming-Dar Tsai (EMBC, 2019)

Improving the Performance of Collective Communication for the On-Chip Network. - Slo-Li Chu; Wen-Chih Ho; Yi-Jie Jiang (PAAP, 2019)

CNN Based iPS Cell Formation Stage Classifier for Human iPS Cell Growth Status Prediction Using Time-lapse Microscopy Images. - Slo-Li Chu; Li-Yu Lin; Ming-Dar Tsai; Kuniya Abe; Kazuhiro Sudo; Yukio Nakamura; Hideo Yokota (BIBE, 2020)

Trend Training Based RNN for Human Induced Pluripotent Stem Cell Reprogramming Prediction Using Time-Lapse Microscopy Images. - Slo-Li Chu; Shao-Yu Sung; Ming-Dar Tsai; Kuniya Abe; Kazuhiro Sudo; Yukio Nakamura; Hideo Yokota (BIBE, 2020)

Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy Images. - Slo-Li Chu; Kuniya Abe; Hideo Yokota; Kazuhiro Sudo; Yukio Nakamura; Yuan-Hsiang Chang; Liang-Che Fang; Ming-Dar Tsai (EMBC, 2020)

A Novel Training Mechanism for Extending Convolutional Neural Network. - Slo-Li Chu; Cheng-Hsien Tsai (ICMLC, 2020)

High Resolution U-Net for Quantitatively Analyzing Early Spatial Patterning of Human Induced Pluripotent Stem Cells on Micropatterns. - Slo-Li Chu; Kuniya Abe; Hideo Yokota; Dooseon Cho; Yuan-Hao Chen; Ming-Dar Tsai (EMBC, 2021)

Prediction of Human Induced Pluripotent Stem Cell Formation Based on Deep Learning Analyses Using Time-lapse Brightfield Microscopy Images. - Slo-Li Chu; Kazuhiro Sudo; Kuniya Abe; Hideo Yokota; Yukio Nakamura; Guan-Ting Liou; Ming-Dar Tsai (EMBC, 2022)

U-net structures for segmentation of single mouse embryonic stem cells using three-dimensional confocal microscopy images. - Slo-Li Chu; Hideo Yokota; Kuniya Abe; Dooseon Cho; Ming-Dar Tsai (EMBC, 2022)

CFSM: a novel frame analyzing mechanism for real-time face recognition system on the embedded system. - Slo-Li Chu; Chien-Fang Chen; Yu-Chen Zheng (Multim. Tools Appl., 2022)

Quantitative Analyses for Early Tempo-spatial Patterning of Differentiated Human Induced Pluripotent Stem Cells on Micropatterns using Time-lapse Bright-field Microscopy Images. - Slo-Li Chu; Kuniya Abe; Kuan-Ting Lin; Hideo Yokota; Dooseon Cho; Ming-Dar Tsai (EMBC, 2023)

Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells by Deep Learning for Cell Center Detection using Three-Dimensional Confocal Fluorescence Microscopy Images. - Slo-Li Chu; Hideo Yokota; Hao-Lun Hsieh; Kuniya Abe; Dooseon Cho; Ming-Dar Tsai (EMBC, 2023)

Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methods. - Slo-Li Chu; Kazuhiro Sudo; Hideo Yokota; Kuniya Abe; Yukio Nakamura; Ming-Dar Tsai (Comput. Methods Programs Biomed., 2023)

Deep Learning Method for Estimating Germ-layer Regions of Early Differentiated Human Induced Pluripotent Stem Cells on Micropattern Using Bright-field Microscopy Image. - Slo-Li Chu; Hideo Yokota; Pai-Ting Wang; Kuniya Abe; Yohei Hayashi; Dooseon Cho; Ming-Dar Tsai (EMBC, 2024)