Requirements for Multicast Support in Virtual Private LAN Services. - Yuji Kamite; Yuichiro Wada; Yetik Serbest; Thomas Morin; Luyuan Fang (RFC, 2009)

Spectral Embedded Deep Clustering. - Yuichiro Wada; Shugo Miyamoto; Takumi Nakagama; Léo Andéol; Wataru Kumagai; Takafumi Kanamori (Entropy, 2019)

Robust Label Prediction via Label Propagation and Geodesic k-Nearest Neighbor in Online Semi-Supervised Learning. - Yuichiro Wada; Siqiang Su; Wataru Kumagai; Takafumi Kanamori (IEICE Trans. Inf. Syst., 2019)

Correlation Coefficient Analysis of the Age of Information in Multi-Source Systems. - Yukang Jiang; Kiichi Tokuyama; Yuichiro Wada; Moeko Yajima (CoRR, 2020)

Deep Self-Supervised Learning of Speech Denoising from Noisy Speeches. - Yutaro Sanada; Takumi Nakagawa; Yuichiro Wada; Kosaku Takanashi; Yuhui Zhang; Kiichi Tokuyama; Takafumi Kanamori; Tomonori Yamada (INTERSPEECH, 2022)

Handover Skipping Analysis in Dense Cellular Network Using Poisson Cluster Process. - Yifan Xu; Kiichi Tokuyama; Yuichiro Wada (VTC Spring, 2022)

An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and Its Application for Automatically Computing the Conformational Pathway. - Kimihiro Yamazaki; Yuichiro Wada; Atsushi Tokuhisa; Mutsuyo Wada; Takashi Katoh; Yuhei Umeda; Yasushi Okuno; Akira Nakagawa (MICCAI (1), 2023)

Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. - Hiroki Waida; Yuichiro Wada; Léo Andéol; Takumi Nakagawa; Yuhui Zhang; Takafumi Kanamori (ECML/PKDD (4), 2023)

Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. - Kota Nakamura; Yasuko Matsubara; Koki Kawabata; Yuhei Umeda; Yuichiro Wada; Yasushi Sakurai (WWW, 2023)

Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE. - Yuhui Zhang; Yuichiro Wada; Hiroki Waida; Kaito Goto; Yusaku Hino; Takafumi Kanamori (Neural Comput., 2023)

Learning domain invariant representations by joint Wasserstein distance minimization. - Léo Andéol; Yusei Kawakami; Yuichiro Wada; Takafumi Kanamori; Klaus-Robert Müller; Grégoire Montavon (Neural Networks, 2023)

Deep Mapper: Efficient Visualization of Plausible Conformational Pathways. - Ziyad Oulhaj; Yoshiyuki Ishii; Kento Ohga; Kimihiro Yamazaki; Mutsuyo Wada; Yuhei Umeda; Takashi Katoh; Yuichiro Wada; Hiroaki Kurihara (ECAI, 2024)

Robust VAEs via Generating Process of Noise Augmented Data. - Hiroo Irobe; Wataru Aoki; Kimihiro Yamazaki; Yuhui Zhang; Takumi Nakagawa; Hiroki Waida; Yuichiro Wada; Takafumi Kanamori (ISIT, 2024)

Denoising cosine similarity: A theory-driven approach for efficient representation learning. - Takumi Nakagawa; Yutaro Sanada; Hiroki Waida; Yuhui Zhang; Yuichiro Wada; Kosaku Takanashi; Tomonori Yamada; Takafumi Kanamori (Neural Networks, 2024)

Investigating self-supervised image denoising with denaturation. - Hiroki Waida; Kimihiro Yamazaki; Atsushi Tokuhisa; Mutsuyo Wada; Yuichiro Wada (Neural Networks, 2025)

TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation. - Yuhui Zhang; Dongshen Wu; Yuichiro Wada; Takafumi Kanamori (CoRR, 2025)