A 120Gb/s 16QAM CMOS millimeter-wave wireless transceiver. - Korkut Kaan Tokgoz; Shotaro Maki; Jian Pang; Noriaki Nagashima; Ibrahim Abdo; Seitaro Kawai; Takuya Fujimura; Yoichi Kawano; Toshihide Suzuki; Taisuke Iwai; Kenichi Okada 001; Akira Matsuzawa (ISSCC, 2018)

A 28-GHz CMOS Phased-Array Transceiver Based on LO Phase-Shifting Architecture With Gain Invariant Phase Tuning for 5G New Radio. - Jian Pang; Rui Wu 001; Yun Wang 008; Masato Dome; Hisashi Kato; Hongye Huang; Aravind Tharayil Narayanan; Hanli Liu; Bangan Liu; Takeshi Nakamura; Takuya Fujimura; Masaru Kawabuchi; et al. (IEEE J. Solid State Circuits, 2019)

300-GHz-Band 120-Gb/s Wireless Front-End Based on InP-HEMT PAs and Mixers. - Hiroshi Hamada; Takuya Tsutsumi; Hideaki Matsuzaki; Takuya Fujimura; Ibrahim Abdo; Atsushi Shirane; Kenichi Okada 001; Go Itami; Ho-Jin Song; Hiroki Sugiyama; Hideyuki Nosaka (IEEE J. Solid State Circuits, 2020)

A 0.41W 34Gb/s 300GHz CMOS Wireless Transceiver. - Ibrahim Abdo; Takuya Fujimura; Tsuyoshi Miura; Korkut Kaan Tokgoz; Atsushi Shirane; Kenichi Okada 001 (ASP-DAC, 2021)

Noisy-target Training: A Training Strategy for DNN-based Speech Enhancement without Clean Speech. - Takuya Fujimura; Yuma Koizumi; Kohei Yatabe; Ryoichi Miyazaki (EUSIPCO, 2021)

A Bi-Directional 300-GHz-Band Phased-Array Transceiver in 65-nm CMOS With Outphasing Transmitting Mode and LO Emission Cancellation. - Ibrahim Abdo; Carrel da Gomez; Chun Wang; Kota Hatano; Qi Li; Chenxin Liu; Kiyoshi Yanagisawa; Ashbir Aviat Fadila; Takuya Fujimura; Tsuyoshi Miura; Korkut Kaan Tokgoz; Jian Pang; et al. (IEEE J. Solid State Circuits, 2022)

Analysis Of Noisy-Target Training For Dnn-Based Speech Enhancement. - Takuya Fujimura; Tomoki Toda (ICASSP, 2023)

Multi-channel separation of dynamic speech and sound events. - Takuya Fujimura; Robin Scheibler (INTERSPEECH, 2023)

Two-stage Framework for Robust Speech Emotion Recognition Using Target Speaker Extraction in Human Speech Noise Conditions. - Jinyi Mi; Xiaohan Shi; Ding Ma; Jiajun He; Takuya Fujimura; Tomoki Toda (APSIPA, 2024)

Discriminative Neighborhood Smoothing for Generative Anomalous Sound Detection. - Takuya Fujimura; Keisuke Imoto; Tomoki Toda (EUSIPCO, 2024)

Improvements of Discriminative Feature Space Training for Anomalous Sound Detection in Unlabeled Conditions. - Takuya Fujimura; Ibuki Kuroyanagi; Tomoki Toda (ICASSP, 2025)

Handling Domain Shifts for Anomalous Sound Detection: A Review of DCASE-Related Work. - Kevin Wilkinghoff; Takuya Fujimura; Keisuke Imoto; Jonathan Le Roux; Zheng-Hua Tan; Tomoki Toda (CoRR, 2025)

Improving Anomalous Sound Detection through Pseudo-anomalous Set Selection and Pseudo-label Utilization under Unlabeled Conditions. - Ibuki Kuroyanagi; Takuya Fujimura; Kazuya Takeda; Tomoki Toda (CoRR, 2025)