Cost and Benefit Models for Logic and Memory BIST. - Juin-Ming Lu; Cheng-Wen Wu (DATE, 2000)

Reconfigurable Network-on-chip design for heterogeneous multi-core system architecture. - Jih-Sheng Shen; Pao-Ann Hsiung; Juin-Ming Lu (HPCS, 2014)

Methodology of exploring ESL/RTL many-core platforms for developing embedded parallel applications. - Jyu-Yuan Lai; Chih-Tsun Huang; Ting-Shuo Hsu; Jing-Jia Liou; Tung-Hua Yeh; Liang-Chia Cheng; Juin-Ming Lu (SoCC, 2014)

Content-aware line-based power modeling methodology for image signal processor. - Chun-Wei Chen; Ming-Der Shieh; Juin-Ming Lu; Hsun-Lun Huang; Yao-Hua Chen (SoCC, 2017)

Application specific component-service-aware trace generation on Android-QEMU. - Hao-Lun Wei; Chung-Ta King; Bhaskar Das; Mei-Chiao Peng; Chen-Chieh Wang; Hsun-Lun Huang; Juin-Ming Lu (SoCC, 2017)

Design space exploration with a cycle-accurate systemC/TLM DRAM controller model. - Ting-Shuo Hsu; Chao-Chieh Wu; Che-Wei Hsu; Chih-Tsun Huang; Jing-Jia Liou; Yao-Hua Chen; Juin-Ming Lu (VLSI-DAT, 2017)

A fast thermal-aware fixed-outline floorplanning methodology based on analytical models. - Jai-Ming Lin; Tai-Ting Chen; Yen-Fu Chang; Wei-Yi Chang; Ya-Ting Shyu; Yeong-Jar Chang; Juin-Ming Lu (ICCAD, 2018)

Full System Emulation of Embedded Heterogeneous Multicores Based on QEMU. - I-Hua Chen; Chung-Ta King; Yao-Hua Chen; Juin-Ming Lu (ICPADS, 2018)

Fast Steady-State Thermal Analysis. - Lih-Yih Chiou; Chun-Hao Chang; Liang-Ying Lu; Wei-Hsuan Yang; Yeong-Jar Chang; Juin-Ming Lu (ISOCC, 2018)

NNSim: A Fast and Accurate SystemC/TLM Simulator for Deep Convolutional Neural Network Accelerators. - Yi-Che Lee; Ting-Shuo Hsu; Chun-Tse Chen; Jing-Jia Liou; Juin-Ming Lu (VLSI-DAT, 2019)

A 90nm 103.14 TOPS/W Binary-Weight Spiking Neural Network CMOS ASIC for Real-Time Object Classification. - Po-Yao Chuang; Pai-Yu Tan; Cheng-Wen Wu; Juin-Ming Lu (DAC, 2020)

A Power-Efficient Binary-Weight Spiking Neural Network Architecture for Real-Time Object Classification. - Pai-Yu Tan; Po-Yao Chuang; Yen-Ting Lin; Cheng-Wen Wu; Juin-Ming Lu (CoRR, 2020)

Tile-Based Architecture Exploration for Convolutional Accelerators in Deep Neural Networks. - Yang-Tsai Chen; Yu-Xiang Yen; Chun-Tse Chen; Tzu-Yu Chen; Chih-Tsun Huang; Jing-Jia Liou; Juin-Ming Lu (AICAS, 2021)

An Improved STBP for Training High-Accuracy and Low-Spike-Count Spiking Neural Networks. - Pai-Yu Tan; Cheng-Wen Wu; Juin-Ming Lu (DATE, 2021)

Thermal-Aware Fixed-Outline Floorplanning Using Analytical Models With Thermal-Force Modulation. - Jai-Ming Lin; Tai-Ting Chen; Hao-Yuan Hsieh; Ya-Ting Shyu; Yeong-Jar Chang; Juin-Ming Lu (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Thermal-Aware Floorplanning and TSV-Planning for Mixed-Type Modules in a Fixed-Outline 3-D IC. - Jai-Ming Lin; Wei-Yi Chang; Hao-Yuan Hsieh; Ya-Ting Shyu; Yeong-Jar Chang; Juin-Ming Lu (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Fault Modeling and Testing of Memristor-Based Spiking Neural Networks. - Kuan-Wei Hou; Hsueh-Hung Cheng; Chi Tung; Cheng-Wen Wu; Juin-Ming Lu (ITC, 2022)

Efficient Segment-wise Pruning for DCNN Inference Accelerators. - Che-Chang Yang; Yung-Tai Shih; Chun-Chen Chen; Chih-Tsun Huang; Jing-Jia Liou; Yao-Hua Chen; Juin-Ming Lu (VLSI-DAT, 2022)

MultiFuse: Efficient Cross Layer Fusion for DNN Accelerators with Multi-level Memory Hierarchy. - Chia-Wei Chang; Jing-Jia Liou; Chih-Tsun Huang; Wei-Chung Hsu; Juin-Ming Lu (ICCD, 2023)

Optimization of AI SoC with Compiler-assisted Virtual Design Platform. - Chih-Tsun Huang; Juin-Ming Lu; Yao-Hua Chen; Ming-Chih Tung; Shih-Chieh Chang (ISPD, 2023)

HierArch: A Cluster-Based DNN Accelerator with Hierarchical Buses for Design Space Exploration. - Jyun-Siou Huang; Ting-Han Chou; Juin-Ming Lu; Chih-Tsun Huang; Jing-Jia Liou (SOCC, 2023)

Efficient Inference of Transformers on Bare-Metal Devices with RISC-V Vector Processors. - Yi-Xuan Huang; Po-Han Huang; Juin-Ming Lu; Tay-Jyi Lin; Tien-Fu Chen (NewCAS, 2024)

A Low-complexity and Reconfigurable Design for Nonlinear Function Approximation in Transformers. - Qi-Xian Wu; Shu-Sian Teng; Ming-Der Shieh; Chih-Tsun Huang; Juin-Ming Lu (ISCAS, 2025)

Hybrid Bayesian Optimization with Early Termination Strategies for Auto Tuning. - Hsiang-Cheng Hsieh; ShengPo Lin; Arbind Kumar Mahto; Kuei-Chung Chang; Juin-Ming Lu; Tay-Jyi Lin; Tien-Fu Chen (ISVLSI, 2025)

Enhancing Semi-Supervised Learners via Similarity-Based Self-Supervised Models. - ShengPo Lin; Hsiang-Cheng Hsieh; Lianzheng Lin; Kuei-Chung Chang; Juin-Ming Lu; Tay-Jyi Lin; Tien-Fu Chen (NewCAS, 2025)