Yankai Jiang

According to our database, Yankai Jiang authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference.

Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari

CoRR, 2024

2023

InstantTrace: fast parallel neuron tracing on GPUs.

Yuxuan Hou, Zhong Ren, Qiming Hou, Yubo Tao, Yankai Jiang, Wei Chen

Vis. Comput., August, 2023

ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting.

Yankai Jiang, Zhongzhen Huang, Rongzhao Zhang, Xiaofan Zhang, Shaoting Zhang

CoRR, 2023

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation.

Yankai Jiang, Mingze Sun, Heng Guo, Ke Yan, Le Lu, Minfeng Xu

CoRR, 2023

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis.

Yankai Jiang, Mingze Sun, Heng Guo, Xiaoyu Bai, Ke Yan, Le Lu, Minfeng Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

MeshFormer: High-resolution Mesh Segmentation with Graph Transformer.

Yuan Li, Xiangyang He, Yankai Jiang, Huan Liu, Yubo Tao, Hai Lin

Comput. Graph. Forum, October, 2022

Semi-supervised Detection, Identification and Segmentation for Abdominal Organs.

Mingze Sun, Yankai Jiang, Heng Guo

Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection.

Yankai Jiang, Yiming Li, Xinyue Wang, Yubo Tao, Jun Lin, Hai Lin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image.

Yankai Jiang, Ke Xu, Xinyue Wang, Yuan Li, Hongguang Cui, Yubo Tao, Hai Lin

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

ALA-Net: Adaptive Lesion-Aware Attention Network for 3D Colorectal Tumor Segmentation.

Yankai Jiang, Shufeng Xu, Hongjie Fan, Jiahong Qian, Weizhi Luo, Shihui Zhen, Yubo Tao, Jihong Sun, Hai Lin

IEEE Trans. Medical Imaging, 2021

DeepNFT: Towards Precise Neurofibrillary Tangle Detection via Improving Multi-scale Feature Fusion and Adversary.

Yankai Jiang, Lei Zhang, Yiming Li, Xiangyang He, Hanxiao Huang, Keqing Zhu, Yubo Tao, Hai Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021