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Juin‐Ming Lu

Observed names: J. Lu, Juin-Ming Lu, Lu, J.
ORCID: 0000-0002-4219-1349
Observed ORCID: 0000-0002-4219-1349
OpenAlex ID: A5008813715
Prediction of specialty coffee flavors based on near‐infrared spectra using machine‑ and deep‐learning methods
2021 · Yu‐Tang Chang, Meng‐Chien Hsueh, et al. · Journal of the Science of Food and Agriculture · 79
A 90nm 103.14 TOPS/W Binary-Weight Spiking Neural Network CMOS ASIC for Real-Time Object Classification
2020 · Po-Yao Chuang, Pai-Yu Tan, et al. · ACM/IEEE Design Automation Conference (DAC) · 33
Thermal-Aware Floorplanning and TSV-Planning for Mixed-Type Modules in a Fixed-Outline 3-D IC
2021 · Jai-Ming Lin, Wei-Yi Chang, et al. · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 24
A fast thermal-aware fixed-outline floorplanning methodology based on analytical models
2018 · Jai-Ming Lin, Tai-Ting Chen, et al. · 24
Cost and benefit models for logic and memory BIST
2000 · Juin-Ming Lu, Cheng-Wen Wu · Design, Automation, and Test in Europe · 24
An Improved STBP for Training High-Accuracy and Low-Spike-Count Spiking Neural Networks
2021 · Pai-Yu Tan, Cheng-Wen Wu, et al. · Design, Automation, and Test in Europe · 17
Thermal-Aware Fixed-Outline Floorplanning Using Analytical Models With Thermal-Force Modulation
2021 · Jai-Ming Lin, Tai-Ting Chen, et al. · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 12
NNSim: A Fast and Accurate SystemC/TLM Simulator for Deep Convolutional Neural Network Accelerators
2019 · Yi-Che Lee, Ting-Shuo Hsu, et al. · International Symposium on VLSI Design, Automation and Test · 12
Fault Modeling and Testing of Memristor-Based Spiking Neural Networks
2022 · Kuan-Wei Hou, Hsueh-Hung Cheng, et al. · IEEE International Test Conference (ITC) · 8
Microfluidic devices for stem cell analysis
2013 · D.-K. Kang, J. Lu, et al. · Elsevier eBooks · 6
Full System Emulation of Embedded Heterogeneous Multicores Based on QEMU
2018 · I-Hua Chen, Chung-Ta King, et al. · IEEE International Conference on Parallel and Distributed Systems (ICPADS) · 5
A Low-complexity and Reconfigurable Design for Nonlinear Function Approximation in Transformers
2025 · Qi-Xian Wu, Shu-Sian Teng, et al. · IEEE International Symposium on Circuits and Systems proceedings · 4
A Low-Complexity and Reconfigurable Design for Nonlinear Function Approximation in Transformers
2025 · Qi-Xian Wu, Shu-Sian Teng, et al. · IEEE Transactions on Circuits & Systems II Express Briefs · 3
MultiFuse: Efficient Cross Layer Fusion for DNN Accelerators with Multi-level Memory Hierarchy
2023 · Chia-Wei Chang, Jing-Jia Liou, et al. · IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD) · 3
Tile-Based Architecture Exploration for Convolutional Accelerators in Deep Neural Networks
2021 · Yang-Tsai Chen, Yu-Xiang Yen, et al. · IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) · 3
Reconfigurable Network-on-chip design for heterogeneous multi-core system architecture
2014 · Jih-Sheng Shen, Pao-Ann Hsiung, et al. · International Conference on High Performance Computing & Simulation (HPCS) · 3
HierArch: A Cluster-Based DNN Accelerator with Hierarchical Buses for Design Space Exploration
2023 · Jyun-Siou Huang, Ting-Han Chou, et al. · IEEE International System-on-Chip Conference (SOCC) · 2
Optimization of AI SoC with Compiler-assisted Virtual Design Platform
2023 · Chih-Tsun Huang, Juin-Ming Lu, et al. · International Symposium on Physical Design · 2
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Development of Convolutional Neural Network Based Models for the Prediction of Specialty Coffee Aroma Using Gas Chromatography-Mass Spectrometry
2021 · Tzu-Kuan Yu, Yu-Tang Chang, et al. · ASABE Annual International Meeting · 2
Microfluidic devices for stem cell analysis
2021 · D.-K. Kang, J. Lu, et al. · Elsevier eBooks · 2
Methodology of exploring ESL/RTL many-core platforms for developing embedded parallel applications
2014 · Jyu-Yuan Lai, Chih-Tsun Huang, et al. · IEEE International System-on-Chip Conference (SOCC) · 2
Efficient Segment-wise Pruning for DCNN Inference Accelerators
2022 · Che-Chang Yang, Yung-Tai Shih, et al. · International Symposium on VLSI Design, Automation and Test · 1
Fast Steady-State Thermal Analysis
2018 · Lih-Yih Chiou, Chun-Hao Chang, et al. · International SoC Design Conference · 1
Design space exploration with a cycle-accurate systemC/TLM DRAM controller model
2017 · Ting-Shuo Hsu, Chao-Chih Wu, et al. · International Symposium on VLSI Design, Automation and Test · 1
Hybrid Bayesian Optimization with Early Termination Strategies for Auto Tuning
2025 · HsiangCheng Hsieh, ShengPo Lin, et al. · IEEE Computer Society Annual Symposium on VLSI
Works count: 33
Citation count: 273
H-index: 8
I10-index: 8
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