| 2024 | ECCV | Rethinking Sparse Lexical Representations for Image Retrieval in the Age of Rising Multi-modal Large Language Models. | Kengo Nakata, Daisuke Miyashita, Youyang Ng, Yasuto Hoshi, Jun Deguchi |
| 2023 | EMNLP | RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models. | Yasuto Hoshi, Daisuke Miyashita, Youyang Ng, Kento Tatsuno, Yasuhiro Morioka, Osamu Torii, Jun Deguchi |
| 2022 | ECCV | Revisiting a kNN-Based Image Classification System with High-Capacity Storage. | Kengo Nakata, Youyang Ng, Daisuke Miyashita, Asuka Maki, Yu-Chieh Lin, Jun Deguchi |
| 2021 | ISCAS | Adaptive Quantization Method for CNN with Computational-Complexity-Aware Regularization. | Kengo Nakata, Daisuke Miyashita, Jun Deguchi, Ryuichi Fujimoto |
| 2019 | ISCAS | Live Demonstration: FPGA-Based CNN Accelerator with Filter-Wise-Optimized Bit Precision. | Kengo Nakata, Asuka Maki, Daisuke Miyashita, Fumihiko Tachibana, Tomoya Suzuki, Jun Deguchi |
| 2017 | ICASSP | LogNet: Energy-efficient neural networks using logarithmic computation. | Edward H. Lee, Daisuke Miyashita, Elaina Chai, Boris Murmann, S. Simon Wong |
| 2015 | ACSSC | Mixed-signal circuits for embedded machine-learning applications. | Boris Murmann, Daniel Bankman, Elaina Chai, Daisuke Miyashita, Lita Yang |