| 2025 | ISCAS | 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 |
| 2023 | ICCD | 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 |
| 2022 | ITC | Fault Modeling and Testing of Memristor-Based Spiking Neural Networks. | Kuan-Wei Hou, Hsueh-Hung Cheng, Chi Tung, Cheng-Wen Wu, Juin-Ming Lu |
| 2021 | DATE | An Improved STBP for Training High-Accuracy and Low-Spike-Count Spiking Neural Networks. | Pai-Yu Tan, Cheng-Wen Wu, Juin-Ming Lu |
| 2020 | DAC | 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 |
| 2018 | ICCAD | 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 |
| 2018 | ICPADS | Full System Emulation of Embedded Heterogeneous Multicores Based on QEMU. | I-Hua Chen, Chung-Ta King, Yao-Hua Chen, Juin-Ming Lu |
| 2000 | DATE | Cost and Benefit Models for Logic and Memory BIST. | Juin-Ming Lu, Cheng-Wen Wu |