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ORCIDJin Ye 0002
Person information
- affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- affiliation: SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China
Other persons with the same name
- Jin Ye — disambiguation page
- Jin Ye 0001
![[0000-0001-7756-5104]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7756-5104")
— University of Georgia, College of Engineering, Center for Cyber-Physical Systems, Athens, GA, USA - Jin Ye 0003 — Guangxi University, School of Computer and Electronic Information, Nanning, China (and 1 more)
- Jin Ye 0004 — National University of Defense Technology, College of Meteorology and Oceanography, Changsha, China (and 1 more)
- Jin Ye 0005 — Xidian University, School of Economics and Management, Xi'an, China (and 1 more)
- Jin Ye 0006 — Baidu Inc., Department of Computer Vision Technology (VIS), China
- Jin Ye 0007 — Academy of National Food and Strategic Reserves Administration, Beijing, China
- Jin Ye 0008 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
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2020 – today
- 2025
[j10]Xiaoyu Ren, Zhongying Deng, Jin Ye, Junjun He, Dongxu Yang:
FCN+: Global receptive convolution makes FCN great again. Neurocomputing 631: 129655 (2025)- [j9]Samiksha Pachade, Prasanna Porwal, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Zhengbo Luo, Feng Han, Zitang Sun, Li Qihan, Sei-ichiro Kamata, Edward Ho, Edward Wang, Asaanth Sivajohan, Saerom Youn, Kevin Lane, Jin Chun, Xinliang Wang, Yunchao Gu, Sixu Lu, Young-tack Oh, Hyunjin Park, Chia-Yen Lee, Hung Yeh, Kai-Wen Cheng, Haoyu Wang, Jin Ye, Junjun He, Lixu Gu, Dominik Müller, Iñaki Soto Rey, Frank Kramer, Hidehisa Arai, Yuma Ochi, Takami Okada, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau:
RFMiD: Retinal Image Analysis for multi-Disease Detection challenge. Medical Image Anal. 99: 103365 (2025) - [j8]Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang:
SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. Medical Image Anal. 101: 103447 (2025) - [j7]Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao:
A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation. Medical Image Anal. 101: 103499 (2025) - [j6]Kelly Payette, Céline Steger, Roxane Licandro, Priscille de Dumast, Hongwei Bran Li, Matthew Barkovich, Liu Li, Maik Dannecker, Chen Chen, Cheng Ouyang, Niccolò McConnell, Alina Dana Miron, Yongmin Li, Alena Uus, Irina Grigorescu, Paula Ramirez Gilliland, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Haoyu Wang, Ziyan Huang, Jin Ye, Mireia Alenyà, Valentin Comte, Oscar Camara, Jean-Baptiste Masson, Astrid Nilsson, Charlotte Godard, Moona Mazher, Abdul Qayyum, Yibo Gao, Hangqi Zhou, Shangqi Gao, Jia Fu, Guiming Dong, Guotai Wang, ZunHyan Rieu, HyeonSik Yang, Minwoo Lee, Szymon Plotka, Michal K. Grzeszczyk, Arkadiusz Sitek, Luisa Vargas Daza, Santiago Usma, Pablo Arbeláez, Wenying Lu, Wenhao Zhang, Jing Liang, Romain Valabrègue, Anand A. Joshi, Krishna N. Nayak, Richard M. Leahy, Luca Wilhelmi, Aline Dändliker, Hui Ji, Antonio G. Gennari, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Gregor Kasprian, Gregor Dovjak, Milan Rados, Lana Vasung, Meritxell Bach Cuadra, András Jakab:
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. IEEE Trans. Medical Imaging 44(3): 1257-1272 (2025) - [i26]Yanzhou Su, Tianbin Li, Jiyao Liu, Chenglong Ma, Junzhi Ning, Cheng Tang, Sibo Ju, Jin Ye, Pengcheng Chen, Ming Hu, Shixiang Tang, Lihao Liu, Bin Fu, Wenqi Shao, Xiaowei Hu, Xiangwen Liao, Yuanfeng Ji, Junjun He:
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning. CoRR abs/2504.01886 (2025) - 2024
- [j5]Sergios Gatidis, Marcel Früh, Matthias Fabritius, Sijing Gu, Konstantin Nikolaou, Christian La Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Yukun Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazzoli, Mehdi Astaraki, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner:
Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging. Nat. Mac. Intell. 6(11): 1396-1405 (2024) - [c21]Chong Wang, Zhenqi He, Junjun He, Jin Ye, Yiqing Shen:
Histology Image Artifact Restoration with Lightweight Transformer Based Diffusion Model. AIME (2) 2024: 81-89 - [c20]Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen, Jianfei Cai, Junjun He, Bohan Zhuang:
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation. MICCAI (9) 2024: 552-561 - [c19]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 - [c18]Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J. Seibel, Junjun He, Yu Qiao:
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI. NeurIPS 2024 - [i25]Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen, Jianfei Cai, Junjun He, Bohan Zhuang:
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation. CoRR abs/2407.04938 (2024) - [i24]Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J. Seibel, Junjun He, Yu Qiao:
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI. CoRR abs/2408.03361 (2024) - [i23]Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen:
A Survey for Large Language Models in Biomedicine. CoRR abs/2409.00133 (2024) - [i22]Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guoyan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Plotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Alejandra Pérez, Santiago Rodríguez, Pablo Arbeláez, Danail Stoyanov, Hani J. Marcus, Sophia Bano:
PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery. CoRR abs/2409.01184 (2024) - [i21]Ying Chen, Guoan Wang, Yuanfeng Ji, Yanjun Li, Jin Ye, Tianbin Li, Bin Zhang, Nana Pei, Rongshan Yu, Yu Qiao, Junjun He:
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding. CoRR abs/2410.11761 (2024) - [i20]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? CoRR abs/2411.03670 (2024) - [i19]Junlong Cheng, Bin Fu, Jin Ye, Guoan Wang, Tianbin Li, Haoyu Wang, Ruoyu Li, He Yao, Junren Chen, Jingwen Li, Yanzhou Su, Min Zhu, Junjun He:
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline. CoRR abs/2411.12814 (2024) - [i18]Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He:
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI. CoRR abs/2411.14522 (2024) - [i17]Jin Ye, Ying Chen, Yanjun Li, Haoyu Wang, Zhongying Deng, Ziyan Huang, Yanzhou Su, Chenglong Ma, Yuanfeng Ji, Junjun He:
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation. CoRR abs/2411.14525 (2024) - [i16]Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge:
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. CoRR abs/2411.15421 (2024) - 2023
- [j4]Yanzhou Su, Jian Cheng, Chuqiao Zhong, Yijie Zhang, Jin Ye, Junjun He, Jun Liu:
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images. Biomed. Signal Process. Control. 83: 104699 (2023) - [j3]Yanzhou Su, Jian Cheng, Chuqiao Zhong, Chengzhi Jiang, Jin Ye, Junjun He:
Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance. Neurocomputing 545: 126233 (2023) - [c17]Yanzhou Su, Changjian Deng, Zhongying Deng, Jin Ye, Junjun He, Jian Cheng:
Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use. ISBI 2023: 1-5 - [c16]Yanzhou Su, Qingsong Xie, Jin Ye, Junjun He, Jian Cheng:
An Accurate Polyp Segmentation Framework via Feature Secondary Fusion. ISBI 2023: 1-5 - [c15]Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Tianbin Li, Junjun He:
Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation. FLARE@MICCAI 2023: 15-27 - [c14]Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Yanzhou Su, Tianbin Li, Junlong Cheng, Jianpin Chen, Sizheng Guo, Yiqing Shen, Junjun He:
Evaluating STU-Net for Brain Tumor Segmentation. BraTS/CrossMoDA@MICCAI 2023: 140-151 - [c13]Zhenqi He, Junjun He, Jin Ye, Yiqing Shen:
Artifact Restoration in Histology Images with Diffusion Probabilistic Models. MICCAI (6) 2023: 518-527 - [c12]Yanzhou Su, Yiqing Shen, Jin Ye, Junjun He, Jian Cheng:
Revisiting Feature Propagation and Aggregation in Polyp Segmentation. MICCAI (5) 2023: 632-641 - [c11]Yuncheng Yang, Meng Wei, Junjun He, Jie Yang, Jin Ye, Yun Gu:
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation. MICCAI (1) 2023: 674-683 - [i15]Zhongying Deng, Xiaoyu Ren, Jin Ye, Junjun He, Yu Qiao:
FCN+: Global Receptive Convolution Makes FCN Great Again. CoRR abs/2303.04589 (2023) - [i14]Ziyan Huang, Haoyu Wang, Zhongying Deng, Jin Ye, Yanzhou Su, Hui Sun, Junjun He, Yun Gu, Lixu Gu, Shaoting Zhang, Yu Qiao:
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training. CoRR abs/2304.06716 (2023) - [i13]Yuncheng Yang, Meng Wei, Junjun He, Jie Yang, Jin Ye, Yun Gu:
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation. CoRR abs/2307.11958 (2023) - [i12]Zhenqi He, Junjun He, Jin Ye, Yiqing Shen:
Artifact Restoration in Histology Images with Diffusion Probabilistic Models. CoRR abs/2307.14262 (2023) - [i11]Junlong Cheng, Jin Ye, Zhongying Deng, Jianpin Chen, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Junjun He, Shaoting Zhang, Min Zhu, Yu Qiao:
SAM-Med2D. CoRR abs/2308.16184 (2023) - [i10]Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao:
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation. CoRR abs/2309.03906 (2023) - [i9]Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao:
SAM-Med3D. CoRR abs/2310.15161 (2023) - [i8]Jin Ye, Junlong Cheng, Jianpin Chen, Zhongying Deng, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Min Zhu, Shaoting Zhang, Junjun He, Yu Qiao:
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks. CoRR abs/2311.11969 (2023) - [i7]Pengcheng Chen, Ziyan Huang, Zhongying Deng, Tianbin Li, Yanzhou Su, Haoyu Wang, Jin Ye, Yu Qiao, Junjun He:
Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies. CoRR abs/2312.04344 (2023) - [i6]Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang:
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. CoRR abs/2312.09576 (2023) - 2022
- [c10]Can Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He, Jin Ye, Haoyu Wang, Xiaowei Ding:
Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation. LAScarQS@MICCAI 2022: 24-35 - [c9]Ziyan Huang, Haoyu Wang, Jin Ye, Jingqi Niu, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Lixu Gu, Junjun He:
Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference. FLARE@MICCAI 2022: 178-189 - [i5]Haoyu Wang, Ziyan Huang, Jin Ye, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Chenglong Ma, Jingqi Niu, Junjun He:
An evaluation of U-Net in Renal Structure Segmentation. CoRR abs/2209.02247 (2022) - [i4]Jin Ye, Haoyu Wang, Ziyan Huang, Zhongying Deng, Yanzhou Su, Can Tu, Qian Wu, Yuncheng Yang, Meng Wei, Jingqi Niu, Junjun He:
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans. CoRR abs/2210.07490 (2022) - 2021
- [j2]Junjun He, Cheng Li, Jin Ye, Yu Qiao, Lixu Gu:
Multi-label ocular disease classification with a dense correlation deep neural network. Biomed. Signal Process. Control. 63: 102167 (2021) - [j1]Junjun He, Cheng Li, Jin Ye, Yu Qiao, Lixu Gu:
Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification. Biomed. Signal Process. Control. 67: 102491 (2021) - [c8]Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Lixu Gu, Yu Qiao:
Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation. ISBI 2021: 571-574 - [c7]Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao:
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. MICCAI (3) 2021: 48-58 - [c6]Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao:
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. MICCAI (1) 2021: 569-578 - [i3]Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao:
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. CoRR abs/2109.12629 (2021) - [i2]Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao:
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. CoRR abs/2109.12634 (2021) - 2020
- [c5]Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao:
Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition. ECCV (21) 2020: 649-665 - [c4]Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Yu Qiao, Lixu Gu:
Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs. ISBI 2020: 1-4 - [c3]Junjun He, Cheng Li, Jin Ye, Shanshan Wang, Yu Qiao, Lixu Gu:
Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion. ISBI 2020: 1258-1261 - [i1]Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao:
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition. CoRR abs/2012.02994 (2020)
2010 – 2019
- 2019
- [c2]Jin Ye, Xiaojiang Peng, Yu Qiao, Hao Xing, Junli Li, Rongrong Ji:
Visual-Textual Sentiment Analysis in Product Reviews. ICIP 2019: 869-873 - 2016
- [c1]Jin Ye, Linjie Xing, Xiaolong Fan, Changzhi Song, Diping Song, Cai-Zhi Zhu, Yu Qiao:
Shenzhen Institutes of Advanced Technology, CAS, China at TRECVID INS 2016. TRECVID 2016
Coauthor Index
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