Semi-Supervised Learning Based on Tri-Training for Gastritis Classification using Gastric X-ray Images. - Zongyao Li 004; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ISCAS, 2019)

Classification of Subcellular Protein Patterns in Human Cells with Transfer Learning. - Zongyao Li 004; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Unsupervised Domain Adaptation for Semantic Segmentation with Symmetric Adaptation Consistency. - Zongyao Li 004; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2020)

Variational Autoencoder Based Unsupervised Domain Adaptation For Semantic Segmentation. - Zongyao Li 004; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-training. - Zongyao Li 004; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Medical Biol. Eng. Comput., 2020)

Semantic-Aware Unpaired Image-to-Image Translation for Urban Scene Images. - Zongyao Li 004; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

Union-Set Multi-source Model Adaptation for Semantic Segmentation. - Zongyao Li 004; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ECCV (29), 2022)

Divergence-Guided Feature Alignment for Cross-Domain Object Detection. - Zongyao Li 004; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Improving Model Adaptation for Semantic Segmentation by Learning Model-Invariant Features with Multiple Source-Domain Models. - Zongyao Li 004; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation. - Zongyao Li 004; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Pattern Recognit., 2022)

A Parallel Transformer Framework for Video Moment Retrieval. - Thao-Nhu Nguyen; Zongyao Li 004; Satoshi Yamazaki; Jianquan Liu; Cathal Gurrin (ICMR, 2024)