| 2024 | ACCV | Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering. | Kazumoto Nakamura, Yuji Nozawa, Yu-Chieh Lin, Kengo Nakata, Youyang Ng |
| 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 |
| 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 |
| 2016 | ASPDAC | A noise reduction technique for divider-less fractional-N frequency synthesizer using phase-interpolation technique. | Aravind Tharayil Narayanan, Makihiko Katsuragi, Kengo Nakata, Yuki Terashima, Kenichi Okada, Akira Matsuzawa |
| 2016 | ASPDAC | An automatic place-and-routed two-stage fractional-N injection-locked PLL using soft injection. | Dongsheng Yang, Wei Deng, Aravind Tharayil Narayanan, Kengo Nakata, Teerachot Siriburanon, Kenichi Okada, Akira Matsuzawa |