ExtraFerns: Fully Parallel Ensemble Learning Technique with Non-Greedy yet Minimal Memory Access Training. - Shungo Kumazawa; Kazushi Kawamura; Thiem Van Chu; Masato Motomura; Jaehoon Yu (CANDAR, 2020)

ExtraFerns: Fully Parallel Ensemble Learning Technique with Random Projection and Non-Greedy yet Minimal Memory Access Training. - Shungo Kumazawa; Kazushi Kawamura; Thiem Van Chu; Masato Motomura; Jaehoon Yu (Int. J. Netw. Comput., 2021)

Decision Forest Training Accelerator Based on Binary Feature Decomposition. - Thiem Van Chu; Yu Mizutani; Yuta Nagahara; Shungo Kumazawa; Kazushi Kawamura; Jaehoon Yu; Masato Motomura (FCCM, 2023)

Pianissimo: A Sub-mW Class DNN Accelerator with Progressive Bit-by-Bit Datapath Architecture for Adaptive Inference at Edge. - Junnosuke Suzuki; Jaehoon Yu; Mari Yasunaga; Ángel López García-Arias; Yasuyuki Okoshi; Shungo Kumazawa; Kota Ando; Kazushi Kawamura; Thiem Van Chu; Masato Motomura (VLSI Technology and Circuits, 2023)

Exploration of Hyperdimensional Computing Using Locality-Sensitive Hashing Mechanism on FPGA. - Masato Watanabe; Shungo Kumazawa; Thiem Van Chu; Kazushi Kawamura; Jaehoon Yu; Masato Motomura (ICCE, 2024)

Toward Improving Ensemble-Based Collaborative Inference at the Edge. - Shungo Kumazawa; Jaehoon Yu; Kazushi Kawamura; Thiem Van Chu; Masato Motomura (IEEE Access, 2024)

Pianissimo: A Sub-mW Class DNN Accelerator With Progressively Adjustable Bit-Precision. - Junnosuke Suzuki; Jaehoon Yu; Mari Yasunaga; Ángel López García-Arias; Yasuyuki Okoshi; Shungo Kumazawa; Kota Ando; Kazushi Kawamura; Thiem Van Chu; Masato Motomura (IEEE Access, 2024)