Jingxuan Wang, Rui Guan, Kun Liang, Shiyu Wang, Xin Yang, Xiaodan Cui, Di Hu
IEEE Transactions on Multimedia (Under Review) 2026 JCR Q1
We propose BiFlow-GAN, a bidirectional-flow generative adversarial framework for robust tissue domain identification in spatial transcriptomics. We design a bidirectional cross-modal attention flow (Bi-AF) mechanism with reciprocal Image-to-Gene and Gene-to-Image pathways for dynamic feature refinement. Benchmarked on diverse spatial transcriptomics datasets, significantly outperforming state-of-the-art methods.
Jingxuan Wang, Rui Guan, Kun Liang, Shiyu Wang, Xin Yang, Xiaodan Cui, Di Hu
IEEE Transactions on Multimedia (Under Review) 2026 JCR Q1
We propose BiFlow-GAN, a bidirectional-flow generative adversarial framework for robust tissue domain identification in spatial transcriptomics. We design a bidirectional cross-modal attention flow (Bi-AF) mechanism with reciprocal Image-to-Gene and Gene-to-Image pathways for dynamic feature refinement. Benchmarked on diverse spatial transcriptomics datasets, significantly outperforming state-of-the-art methods.
Jingxuan Wang, Jie Yang, M. A. Khan, Poh Loong Yee, Jian Baili, Di Hu
IEEE Journal of Biomedical and Health Informatics 2025 JCR Q1
We propose a dual-GAN framework to enhance both input and latent representations for noisy single-cell data, and design a multi-positive contrastive clustering strategy to model continuous cell-state transitions. Evaluated on multiple real-world single-cell datasets, achieving state-of-the-art clustering performance.
Jingxuan Wang, Jie Yang, M. A. Khan, Poh Loong Yee, Jian Baili, Di Hu
IEEE Journal of Biomedical and Health Informatics 2025 JCR Q1
We propose a dual-GAN framework to enhance both input and latent representations for noisy single-cell data, and design a multi-positive contrastive clustering strategy to model continuous cell-state transitions. Evaluated on multiple real-world single-cell datasets, achieving state-of-the-art clustering performance.
Shengtao Zhu, Jingxuan Wang, Xiaogang Hu, Jian Tao
Proceedings of ICFULL 2025 & GLoCALL 2025 2025 Oral / Poster
We conducted an undergraduate innovation research project focused on AI-driven scenario simulation for study-abroad English learning, resulting in a peer-reviewed conference paper and presentation.
Shengtao Zhu, Jingxuan Wang, Xiaogang Hu, Jian Tao
Proceedings of ICFULL 2025 & GLoCALL 2025 2025 Oral / Poster
We conducted an undergraduate innovation research project focused on AI-driven scenario simulation for study-abroad English learning, resulting in a peer-reviewed conference paper and presentation.