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📫 email me at: zhangtianyi@u.nus.edu
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🔭 I’m currently working on Computational Pathology, at/with:
CVPD group at Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore
PuzzleLogic & IMVR at National University of Singapore (NUS), Singapore
- 🌱 To view videos on my research and interests : https://space.bilibili.com/64952151?spm_id_from=333.1007.0.0
Tianyi Zhang, Sicheng Chen, Borui Kang, Dankai Liao, Qiaochu Xue, Bochong Zhang, Fei Xia, Zeyu Liu, Yueming Jin, "PathRWKV: Enhancing Whole Slide Image Inference with Asymmetric Recurrent Modeling" IEEE Transactions on Medical Imaging, 2026, 45(8), pp.4420 - 4432. [awarded as Best Poster, 9TH DIGITAL PATHOLOGY & AI CONGRESS: ASIA 2025]
Chi Phan*, Tianyi Zhang*, Qiaochu Xue, Yufeng Wu, Dan Hu, Zeyu Liu, Sudong Wang, and Yueming Jin, "Enhancing Pathological VLMs with Cross-scale Reasoning" In International Conference on Medical Image Computing and Computer-Assisted Intervention. MICCAI 2026. accepted.
Bochong Zhang*, Tianyi Zhang*, Qiaochu Xue, Zeyu Liu, Dankai Liao, Timothy Antoni, YEO HUI TING GRACE, Sicheng Chen, Hwee Kuan LEE, Shangqing Lyu, and Yueming Jin, "DiffBulk: Enhancing Spatial Transcriptomic Prediction with Diffusion-Based Training" IEEE Transactions on Medical Imaging, 2026, 45(7), pp.3922 - 3933.
Zeyu Liu, Tianyi Zhang, Yufang He, Bo Wen, Haoran Guo, Peng Zhang, Chenbin Ma, Shangqing Lyu, Yunlu Feng, Yu Zhao, Yueming Jin, Dachun Zhao, Guanglei Zhang, "Cellflow: Advancing pathological image augmentation from spatial views to temporal trajectories" Medical Image Analysis, vol 110, 103995, 2026.
Enhui Chai, Sicheng Chen, Tianyi Zhang, Xingyu Li and Tianxiang Cui, "SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification" Medical Image Analysis, vol 111, 104080, 2026.
Zeyu Liu, Yufang He, Tianyi Zhang, Chenbin Ma, Fan Song, Huijie Wu, Ruxin Cai, Haoran Guo, Haonan Zhang, Bo Wen, Peng Zhang, Dachun Zhao and Guanglei Zhang, "StainExpert: A Unified Multi-Expert Diffusion Framework for Multi-Target Pathological Stain Translation", IEEE Transactions on Medical Imaging, 2026, 45(5), pp.1960 - 1973.
Tianyi Zhang, Zhiling Yan, Chunhui li, Nan Ying, Yanli Lei, Shangqing Lyu, Yunlu Feng, Yu Zhao, Guanglei Zhang, “CellMix: A general instance relationship based method for data augmentation towards pathology image analysis,” IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(9), pp.16020 - 16034. [awarded as Best Poster, 8TH DIGITAL PATHOLOGY & AI CONGRESS: ASIA 2024]
Zeyu Liu*, Tianyi Zhang*, Yufang He, Yunlu Feng, Yu Zhao, and Guanglei Zhang, “Generating Progressive Images from Pathological Transitions via Diffusion Model,” In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 308-318, 2024.
Tianyi Zhang, Youdan Feng, Yu Zhao, Yunlu Feng, Yanli Lei, Nan Ying, Fan Song, Zhiling Yan, Yufang He, Aiming Yang, and Guanglei Zhang, “SI-ViT: Shuffle instance-based Vision Transformer for pancreatic cancer ROSE image classification” Computer Methods and Programs in Biomedicine, 2024, 244, p. 107969.
Tianyi Zhang, Shangqing Lyu, Yanli Lei, Sicheng Chen, Nan Ying, Yufang He, Yu Zhao, Yunlu Feng, Guanglei Zhang, “PuzzleTuning: explicit bridge pathological and natural image with puzzles,” arXiv: 2311.06712, 2023.
Tianyi Zhang, Yunlu Feng, Yu Zhao, Guangda Fan, Aiming Yang, Shangqing Lyu, Peng Zhang, Fan Song, Chenbin Ma, Yangyang Sun, Youdan Feng, and Guanglei Zhang, “MSHT: Multi-stage hybrid transformer for the ROSE image analysis of pancreatic cancer,” IEEE Journal of Biomedical and Health Informatics, 2023, 27(4), pp.1946 - 1957. [awarded as feature article in JBHI 27(4) and Top-5 Paper, Asia Health Summit 2023].
