| 2026 | AAAI | Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation. | Qian Hong, Cheng Bian, Xiao Zhou, Xiaoyu Li, Yelei Li, Zijing Zeng |
| 2024 | AAAI | Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure. | Cheng Bian, Xiaoyu Li, Qi Bi, Guangpu Zhu, Jiegeng Lyu, Weile Zhang, Yelei Li, Zijing Zeng |
| 2023 | CVPR | Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline. | Wei Ji, Jingjing Li, Cheng Bian, Zongwei Zhou, Jiaying Zhao, Alan L. Yuille, Li Cheng |
| 2023 | ICLR | Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning. | Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu |
| 2022 | AAAI | Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation. | Junwen Pan, Qi Bi, Yanzhan Yang, Pengfei Zhu, Cheng Bian |
| 2022 | MICCAI | ProCo: Prototype-Aware Contrastive Learning for Long-Tailed Medical Image Classification. | Zhixiong Yang, Junwen Pan, Yanzhan Yang, Xiaozhou Shi, Hong-Yu Zhou, Zhicheng Zhang, Cheng Bian |
| 2021 | CVPR | Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling. | Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefeng Zheng |
| 2021 | ICCV | Multi-Anchor Active Domain Adaptation for Semantic Segmentation. | Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng |
| 2021 | MICCAI | Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification. | Qi Bi, Shuang Yu, Wei Ji, Cheng Bian, Lijun Gong, Hanruo Liu, Kai Ma, Yefeng Zheng |
| 2021 | MICCAI | MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification. | Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng |
| 2020 | MICCAI | TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. | Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng |
| 2020 | MICCAI | A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation. | Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Ensembled ResUnet for Anatomical Brain Barriers Segmentation. | Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling. | Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng |
| 2020 | MICCAI | Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations. | Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng |
| 2018 | MICCAI | Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation. | Cheng Bian, Xin Yang, Jianqiang Ma, Shen Zheng, Yuan Liu, Reza Nezafat, Pheng-Ann Heng, Yefeng Zheng |
| 2018 | MICCAI | Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound. | Na Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang, Tianfu Wang, Anhua Li, Dinggang Shen, Dong Ni |
| 2018 | MICCAI | Generalizing Deep Models for Ultrasound Image Segmentation. | Xin Yang, Haoran Dou, Ran Li, Xu Wang, Cheng Bian, Shengli Li, Dong Ni, Pheng-Ann Heng |
| 2017 | MICCAI | Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound. | Cheng Bian, Ran Lee, Yi-Hong Chou, Jie-Zhi Cheng |
| 2017 | MICCAI | Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation. | Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng |
| 2017 | MICCAI | 3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart Partition. | Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng |
| 2017 | MICCAI | Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing. | Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng |