| 2025 | ASPDAC | Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot Learning. | Hao-Wei Chiang, Chi-Tse Huang, Hsiang-Yun Cheng, Po-Hao Tseng, Ming-Hsiu Lee, An-Yeu Andy Wu |
| 2025 | DAC | Segmented Angular Pre-Processing for Accurate and Efficient In-Memory Vector Similarity Search. | Chi-Tse Huang, Jen-Chieh Wang, Hsiang-Yun Cheng, An-Yeu Andy Wu |
| 2025 | DAC | Energy-Efficient Large-Scale Vector Similarity Search in NAND-Flash via Hybrid Matching. | Chih-Yu Hu, Chi-Tse Huang, Hao-Wei Chiang, Hsiang-Yun Cheng, Po-Hao Tseng, Ming-Hsiu Lee, An-Yeu Andy Wu |
| 2024 | ASPDAC | BFP-CIM: Data-Free Quantization with Dynamic Block-Floating-Point Arithmetic for Energy-Efficient Computing-In-Memory-based Accelerator. | Cheng-Yang Chang, Chi-Tse Huang, Yu-Chuan Chuang, Kuang-Chao Chou, An-Yeu Andy Wu |
| 2024 | DATE | BORE: Energy-Efficient Banded Vector Similarity Search with Optimized Range Encoding for Memory-Augmented Neural Network. | Chi-Tse Huang, Cheng-Yang Chang, Hsiang-Yun Cheng, An-Yeu Wu |
| 2024 | ISCAS | A 40nm 24.6TOPS/W Scalable EfficientDet Processor for Object Detection. | Yu-Chuan Chuang, Ming-Guang Lin, Chi-Tse Huang, Chieh-Fang Teng, Cheng-Yang Chang, Yi-Ta Chen, An-Yeu Andy Wu |
| 2023 | DAC | BWA-NIMC: Budget-based Workload Allocation for Hybrid Near/In-Memory-Computing. | Chi-Tse Huang, Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu |
| 2022 | ISCAS | Automated Quantization Range Mapping for DAC/ADC Non-linearity in Computing-In-Memory. | Chi-Tse Huang, Yu-Chuan Chuang, Ming-Guang Lin, An-Yeu Andy Wu |