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ORCIDYongbing Zhang
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2020 – today
- 2024
[j81]Zhenqiu Shu, Min Xia, Kaiwen Tan, Yongbing Zhang, Zhengtao Yu:
Multi-level multi-view network based on structural contrastive learning for scRNA-seq data clustering. Briefings Bioinform. 25(6) (2024)- [j80]Yunyi Wu
, Kai Zhang, Yongbing Zhang:
An accelerated Benders decomposition approach for virtual base station formation in stochastic Cloud-RANs. Comput. Networks 243: 110328 (2024) - [j79]Weichang Zheng, Jinke Li, Ming Ke, Mingcong Yang, Yu Zheng, Chenxiao Zhang, Qiang Liu, Yongbing Zhang, Kun Yang:
Optimizing Spatial Channel Networks (SCNs) in Hierarchical Optical Cross-Connect (HOXC) architectures: Impact of wavelength switching granularity on performance. Comput. Networks 250: 110572 (2024) - [j78]Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Çayir, Hongyan Gu, Xiang Anthony Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram:
Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. Medical Image Anal. 94: 103155 (2024) - [j77]Linghan Cai, Lijiang Chen, Jianhao Huang, Yifeng Wang, Yongbing Zhang:
Know your orientation: A viewpoint-aware framework for polyp segmentation. Medical Image Anal. 97: 103288 (2024) - [j76]Xiaochen Feng, Hao Sha, Yongbing Zhang, Yaoquan Su, Shuai Liu, Yuan Jiang, Shangguo Hou, Sanyang Han, Xiangyang Ji:
Reliable deep learning in anomalous diffusion against out-of-distribution dynamics. Nat. Comput. Sci. 4(10): 761-772 (2024) - [j75]Xiaochen Feng, Hao Sha, Yongbing Zhang, Yaoquan Su, Shuai Liu, Yuan Jiang, Shangguo Hou, Sanyang Han, Xiangyang Ji:
Publisher Correction: Reliable deep learning in anomalous diffusion against out-of-distribution dynamics. Nat. Comput. Sci. 4(11): 877 (2024) - [j74]Yongbing Zhang, Shengxiang Gao, Yuxin Huang, Kaiwen Tan, Zhengtao Yu:
A Cross-Lingual Summarization method based on cross-lingual Fact-relationship Graph Generation. Pattern Recognit. 146: 109952 (2024) - [j73]Zhuchen Shao, Liuxi Dai, Yifeng Wang, Haoqian Wang, Yongbing Zhang:
AugDiff: Diffusion-Based Feature Augmentation for Multiple Instance Learning in Whole Slide Image. IEEE Trans. Artif. Intell. 5(12): 6617-6628 (2024) - [j72]Weiqi Li, Bin Chen, Shuai Liu, Shijie Zhao, Bowen Du, Yongbing Zhang, Jian Zhang:
D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9341-9355 (2024) - [j71]Xuanyu Zhang, Bin Chen, Wenzhen Zou, Shuai Liu, Yongbing Zhang, Ruiqin Xiong, Jian Zhang:
Progressive Content-Aware Coded Hyperspectral Snapshot Compressive Imaging. IEEE Trans. Circuits Syst. Video Technol. 34(11): 10817-10830 (2024) - [j70]Xianchao Guan, Yifeng Wang, Yiyang Lin, Xi Li, Yongbing Zhang:
Unsupervised Multi-Domain Progressive Stain Transfer Guided by Style Encoding Dictionary. IEEE Trans. Image Process. 33: 767-779 (2024) - [c110]Jiahan Li, Jiuyang Dong, Shenjin Huang, Xi Li, Junjun Jiang, Xiaopeng Fan, Yongbing Zhang:
Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning. CVPR 2024: 11259-11268 - [c109]Yueheng Li, Xianchao Guan, Yifeng Wang, Yongbing Zhang:
Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining. MICCAI (4) 2024: 113-122 - [c108]Ziyue Wang, Ye Zhang, Yifeng Wang, Linghan Cai, Yongbing Zhang:
Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation. MICCAI (8) 2024: 220-230 - [c107]Jinpeng Lu, Jingyun Chen, Linghan Cai, Songhan Jiang, Yongbing Zhang:
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images. MICCAI (8) 2024: 316-327 - [c106]Songhan Jiang, Zhengyu Gan, Linghan Cai, Yifeng Wang, Yongbing Zhang:
Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images. MICCAI (4) 2024: 329-339 - [d1]Yongbing Zhang, Xianchao Guan, Yifeng Wang, Yiyang Lin, Xi Li:
glomeruli segmentation. IEEE DataPort, 2024
- [i39]Ye Zhang, Linghan Cai, Ziyue Wang, Yongbing Zhang:
SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation. CoRR abs/2401.09773 (2024) - [i38]Ye Zhang, Ziyue Wang, Yifeng Wang, Hao Bian, Linghan Cai, Hengrui Li, Lingbo Zhang, Yongbing Zhang:
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation. CoRR abs/2402.04756 (2024) - [i37]Zijie Fang, Yifeng Wang, Zhi Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang:
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models. CoRR abs/2403.05160 (2024) - [i36]Jinpeng Lu, Jingyun Chen, Linghan Cai, Songhan Jiang, Yongbing Zhang:
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images. CoRR abs/2403.18339 (2024) - [i35]Linghan Cai, Shenjin Huang, Ye Zhang, Jinpeng Lu, Yongbing Zhang:
Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint. CoRR abs/2404.00351 (2024) - [i34]Ye Zhang, Yifeng Wang, Zijie Fang, Hao Bian, Linghan Cai, Ziyue Wang, Yongbing Zhang:
DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions. CoRR abs/2404.14956 (2024) - [i33]Xuanyu Zhang, Jiarui Meng, Runyi Li, Zhipei Xu, Yongbing Zhang, Jian Zhang:
GS-Hider: Hiding Messages into 3D Gaussian Splatting. CoRR abs/2405.15118 (2024) - [i32]Runyi Li, Xuanyu Zhang, Zhipei Xu, Yongbing Zhang, Jian Zhang:
Protect-Your-IP: Scalable Source-Tracing and Attribution against Personalized Generation. CoRR abs/2405.16596 (2024) - [i31]Ziyue Wang, Ye Zhang, Yifeng Wang, Linghan Cai, Yongbing Zhang:
Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation. CoRR abs/2406.16427 (2024) - [i30]Songhan Jiang, Zhengyu Gan, Linghan Cai, Yifeng Wang, Yongbing Zhang:
Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images. CoRR abs/2406.17225 (2024) - [i29]Shengxiang Gao, Fang nan, Yongbing Zhang, Yuxin Huang, Kaiwen Tan, Zhengtao Yu:
A Mixed-Language Multi-Document News Summarization Dataset and a Graphs-Based Extract-Generate Model. CoRR abs/2410.09773 (2024) - [i28]Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia:
Efficient Self-Supervised Video Hashing with Selective State Spaces. CoRR abs/2412.14518 (2024) - 2023
- [j69]Jian Zhang, Bin Chen, Ruiqin Xiong, Yongbing Zhang:
Physics-Inspired Compressive Sensing: Beyond deep unrolling. IEEE Signal Process. Mag. 40(1): 58-72 (2023) - [j68]Yang Chen, Zhuchen Shao, Hao Bian, Zijie Fang, Yifeng Wang, Yuanhao Cai, Haoqian Wang, GuoJun Liu, Xi Li, Yongbing Zhang:
dMIL-Transformer: Multiple Instance Learning Via Integrating Morphological and Spatial Information for Lymph Node Metastasis Classification. IEEE J. Biomed. Health Informatics 27(9): 4433-4443 (2023) - [j67]Shijing Yuan, Jie Li, Hongyang Chen, Zhu Han, Chentao Wu, Yongbing Zhang:
JIRA: Joint Incentive Design and Resource Allocation for Edge-Based Real-Time Video Streaming Systems. IEEE Trans. Wirel. Commun. 22(5): 2901-2916 (2023) - [c105]Zijie Fang, Yang Chen, Yifeng Wang, Zhi Wang, Xiangyang Ji, Yongbing Zhang:
Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint. AAAI 2023: 606-613 - [c104]Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang:
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image. AAAI 2023: 2209-2217 - [c103]Yunyi Wu, Yongbing Zhang:
Cost-Effective Joint Establishment of Fronthaul and Virtual Base Stations in a Stochastic C-RAN. ICCCN 2023: 1-7 - [c102]Zhuchen Shao, Yifeng Wang, Yang Chen, Hao Bian, Shaohui Liu, Haoqian Wang, Yongbing Zhang:
LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image. ICCV 2023: 21438 - [c101]Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Accurate Image Restoration with Attention Retractable Transformer. ICLR 2023 - [c100]Zexin Li, Yiyang Lin, Yifeng Wang, Zijie Fang, Hao Bian, Runze Hu, Xiu Li, Yongbing Zhang:
ST-MKSC: The FF-FFPE Stain Transfer Based on Multiple Key Structure Constraint. ISBI 2023: 1-5 - [c99]Yiyang Lin, Yifeng Wang, Yang Chen, Zirui Zhu, Zijie Fang, Miaorun Lin, Zexin Li, Yongbing Zhang:
Unpaired H&E to PR Stain Transfer with Self-Supervised Auxiliary Segmentation. ISBI 2023: 1-5 - [c98]Xianchao Guan, Yifeng Wang, Yiyang Lin, Yongbing Zhang:
Data Augmentation Based on DiscrimDiff for Histopathology Image Classification. DALI@MICCAI 2023: 53-62 - [i27]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i26]Zhuchen Shao, Liuxi Dai, Yifeng Wang, Haoqian Wang, Yongbing Zhang:
AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image. CoRR abs/2303.06371 (2023) - [i25]Xuanyu Zhang, Bin Chen, Wenzhen Zou, Shuai Liu, Yongbing Zhang, Ruiqin Xiong, Jian Zhang:
Progressive Content-aware Coded Hyperspectral Compressive Imaging. CoRR abs/2303.09773 (2023) - [i24]Chuang Zhu, Shengjie Liu, Feng Xu, Zekuan Yu, Arpit Aggarwal, Germán Corredor, Anant Madabhushi, Qixun Qu, Hongwei Fan, Fangda Li, Yueheng Li, Xianchao Guan, Yongbing Zhang, Vivek Kumar Singh, Farhan Akram, Md. Mostafa Kamal Sarker, Zhongyue Shi, Mulan Jin:
Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review. CoRR abs/2305.03546 (2023) - [i23]Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang:
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image. CoRR abs/2306.17373 (2023) - [i22]Bin Chen, Xuanyu Zhang, Shuai Liu, Yongbing Zhang, Jian Zhang:
Self-Supervised Scalable Deep Compressed Sensing. CoRR abs/2308.13777 (2023) - [i21]Linghan Cai, Jianhao Huang, Zihang Zhu, Jinpeng Lu, Yongbing Zhang:
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT Images. CoRR abs/2309.05446 (2023) - [i20]Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonathan Ganz, Jonas Ammeling, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Cayir, Hongyan Gu, Xiang 'Anthony' Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram:
Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR abs/2309.15589 (2023) - [i19]Zijie Fang, Yihan Liu, Yifeng Wang, Xiangyang Zhang, Yang Chen, Changjing Cai, Yiyang Lin, Ying Han, Zhi Wang, Shan Zeng, Hong Shen, Jun Tan, Yongbing Zhang:
Deep Learning Predicts Biomarker Status and Discovers Related Histomorphology Characteristics for Low-Grade Glioma. CoRR abs/2310.07464 (2023) - 2022
- [j66]Ruitao Zhang, Xueying Han, Zhengyang Lei, Chenyao Jiang, Ijaz Gul, Qiuyue Hu, Shiyao Zhai, Hong Liu, Lijin Lian, Ying Liu, Yongbing Zhang, Yuhan Dong, Can Yang Zhang, Tsz Kwan Lam, Yuxing Han, Dongmei Yu, Jin Zhou, Peiwu Qin:
RCMNet: A deep learning model assists CAR-T therapy for leukemia. Comput. Biol. Medicine 150: 106084 (2022) - [j65]Yang Liu, Lijin Lian, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin:
Mixed-UNet: Refined class activation mapping for weakly-supervised semantic segmentation with multi-scale inference. Frontiers Comput. Sci. 4 (2022) - [j64]Jingfen Xie, Jian Zhang, Yongbing Zhang, Xiangyang Ji:
PUERT: Probabilistic Under-Sampling and Explicable Reconstruction Network for CS-MRI. IEEE J. Sel. Top. Signal Process. 16(4): 737-749 (2022) - [j63]Jian Zhang, Zhenyu Zhang, Jingfen Xie, Yongbing Zhang:
High-Throughput Deep Unfolding Network for Compressive Sensing MRI. IEEE J. Sel. Top. Signal Process. 16(4): 750-761 (2022) - [j62]Weichang Zheng, Mingcong Yang, Chenxiao Zhang, Yu Zheng, Yunyi Wu, Yongbing Zhang, Jie Li:
Application-aware QoS routing in SDNs using machine learning techniques. Peer-to-Peer Netw. Appl. 15(1): 529-548 (2022) - [j61]Yongbing Zhang, Qiuyu Zhang, Yilong Jiang, Yan Yan:
A location privacy protection method based on cipher-text retrieval in cloud environment. Secur. Priv. 5(5) (2022) - [j60]Kai Guo, Mingcong Yang, Yongbing Zhang, Jiannong Cao:
Joint Computation Offloading and Bandwidth Assignment in Cloud-Assisted Edge Computing. IEEE Trans. Cloud Comput. 10(1): 451-460 (2022) - [c97]Yiyang Lin, Bowei Zeng, Yifeng Wang, Yang Chen, Zijie Fang, Jian Zhang, Xiangyang Ji, Haoqian Wang, Yongbing Zhang:
Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images. AAAI 2022: 1630-1637 - [c96]Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang:
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging. CVPR 2022: 17511-17520 - [c95]Hao Bian, Zhuchen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang, Yongbing Zhang:
Multiple Instance Learning with Mixed Supervision in Gleason Grading. MICCAI (8) 2022: 204-213 - [c94]Bowei Zeng, Yiyang Lin, Yifeng Wang, Yang Chen, Jiuyang Dong, Xi Li, Yongbing Zhang:
Semi-supervised PR Virtual Staining for Breast Histopathological Images. MICCAI (2) 2022: 232-241 - [c93]Ziyue Wang, Yang Chen, Zijie Fang, Hao Bian, Yongbing Zhang:
Multi-task RetinaNet for Mitosis Detection. MIDOG/DRAC@MICCAI 2022: 234-240 - [c92]Bilha Githinji, Lei Shao, Lin An, Hao Zhang, Fang Li, Li Dong, Lan Ma, Yuhan Dong, Yongbing Zhang, Wen B. Wei, Peiwu Qin:
Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task. MICCAI (2) 2022: 550-559 - [c91]Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Cross Aggregation Transformer for Image Restoration. NeurIPS 2022 - [c90]Ziyue Wang, Zijie Fang, Yang Chen, Zexi Yang, Xinhao Liu, Yongbing Zhang:
Semi-Supervised Cell Instance Segmentation for Multi-Modality Microscope Images. Cell Segmentation Challenge @ NeurIPS 2022: 1-11 - [i18]Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu:
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. CoRR abs/2204.06455 (2022) - [i17]Jingfen Xie, Jian Zhang, Yongbing Zhang, Xiangyang Ji:
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI. CoRR abs/2204.11189 (2022) - [i16]Yang Liu, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Lijin Lian, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin:
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference. CoRR abs/2205.04227 (2022) - [i15]Ruitao Zhang, Xueying Han, Ijaz Gul, Shiyao Zhai, Ying Liu, Yongbing Zhang, Yuhan Dong, Lan Ma, Dongmei Yu, Jin Zhou, Peiwu Qin:
RCMNet: A deep learning model assists CAR-T therapy for leukemia. CoRR abs/2205.04230 (2022) - [i14]Hao Bian, Zhuchen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang, Yongbing Zhang:
Multiple Instance Learning with Mixed Supervision in Gleason Grading. CoRR abs/2206.12798 (2022) - [i13]Muhammad Hassan, Haifei Guan, Melliou Aikaterini, Yuqi Wang, Qianhui Sun, Sen Zeng, Wen Liang, Yiwei Zhang, Ziheng Zhang, Qiuyue Hu, Yang Liu, Shunkai Shi, Lin An, Shuyue Ma, Ijaz Gul, Muhammad Akmal Rahee, You Zhou, Canyang Zhang, Vijay Kumar Pandey, Yuxing Han, Yongbing Zhang, Ming Xu, Qiming Huang, Jiefu Tan, Qi Xing, Peiwu Qin, Dongmei Yu:
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology. CoRR abs/2208.00374 (2022) - [i12]Yang Chen, Ziyue Wang, Zijie Fang, Hao Bian, Yongbing Zhang:
Multi tasks RetinaNet for mitosis detection. CoRR abs/2208.12657 (2022) - [i11]Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Accurate Image Restoration with Attention Retractable Transformer. CoRR abs/2210.01427 (2022) - [i10]Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Cross Aggregation Transformer for Image Restoration. CoRR abs/2211.13654 (2022) - 2021
- [j59]Chenxiao Zhang, Mingcong Yang, Weichang Zheng, Yu Zheng, Yunyi Wu, Yongbing Zhang:
Analysis of wavelength deployment schemes in terms of optical network unit cost and upstream transmission performance in NG-EPONs. JOCN 13(9): 214-223 (2021) - [j58]Xu Chen, Bowen Li, Shaowei Jiang, Terrance Zhang, Xu Zhang, Peiwu Qin, Xi Yuan, Yongbing Zhang, Guoan Zheng, Xiangyang Ji:
Accelerated Phase Shifting for Structured Illumination Microscopy Based on Deep Learning. IEEE Trans. Computational Imaging 7: 700-712 (2021) - [j57]Yunyi Wu, Weichang Zheng, Yongbing Zhang, Jie Li:
Reliability-Aware VNF Placement Using a Probability-Based Approach. IEEE Trans. Netw. Serv. Manag. 18(3): 2478-2491 (2021) - [j56]Chenggang Yan, Zhisheng Li, Yongbing Zhang, Yutao Liu, Xiangyang Ji, Yong-Dong Zhang:
Depth Image Denoising Using Nuclear Norm and Learning Graph Model. ACM Trans. Multim. Comput. Commun. Appl. 16(4): 122:1-122:17 (2021) - [j55]Chenggang Yan, Tong Teng, Yutao Liu, Yongbing Zhang, Haoqian Wang, Xiangyang Ji:
Precise No-Reference Image Quality Evaluation Based on Distortion Identification. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 110:1-110:21 (2021) - [c89]Yangfei Lin, Jie Li, Shigetomo Kimura, Yongbing Zhang, Yusheng Ji, Yang Yang:
Blockchain based Public Auditing Outsourcing for Cloud Storage. ICPADS 2021: 482-489 - [c88]Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang:
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification. NeurIPS 2021: 2136-2147 - [c87]Xinye Jiang, Zhenyu Liu, Yongbing Zhang, Xiangyang Ji:
A Distortion Propagation Oriented CU-tree Algorithm for x265. VCIP 2021: 1-5 - [i9]Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang:
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classication. CoRR abs/2106.00908 (2021) - [i8]Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang:
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging. CoRR abs/2112.06238 (2021) - 2020
- [j54]Jiangpeng Yan, Shou Chen, Yongbing Zhang, Xiu Li:
Neural Architecture Search for compressed sensing Magnetic Resonance image reconstruction. Comput. Medical Imaging Graph. 85: 101784 (2020) - [j53]Shun Qin, Yongbing Zhang, Haoqian Wang, Wai Kin Chan:
Simple accurate model-based phase diversity phase retrieval algorithm for wavefront sensing in high-resolution optical imaging systems. IET Image Process. 14(17): 4513-4519 (2020) - [j52]Mingcong Yang, Chenxiao Zhang, Qian Wu, Weichang Zheng, Yongbing Zhang:
Comparison of switching policies in terms of switching cost and network performance in static SDM-EONs. Opt. Switch. Netw. 38: 100573 (2020) - [j51]Yongbing Zhang, Lixin Chen, Chenggang Yan, Peiwu Qin, Xiangyang Ji, Qionghai Dai:
Weighted Convolutional Motion-Compensated Frame Rate Up-Conversion Using Deep Residual Network. IEEE Trans. Circuits Syst. Video Technol. 30(1): 11-22 (2020) - [j50]Yongbing Zhang, Yihui Feng, Xianming Liu, Deming Zhai, Xiangyang Ji, Haoqian Wang, Qionghai Dai:
Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian Regularization. IEEE Trans. Circuits Syst. Video Technol. 30(2): 320-333 (2020) - [j49]Yutao Liu, Ke Gu, Yongbing Zhang, Xiu Li, Guangtao Zhai, Debin Zhao, Wen Gao:
Unsupervised Blind Image Quality Evaluation via Statistical Measurements of Structure, Naturalness, and Perception. IEEE Trans. Circuits Syst. Video Technol. 30(4): 929-943 (2020) - [j48]Yongbing Zhang, Siyuan Liu, Chao Dong, Xinfeng Zhang, Yuan Yuan:
Multiple Cycle-in-Cycle Generative Adversarial Networks for Unsupervised Image Super-Resolution. IEEE Trans. Image Process. 29: 1101-1112 (2020) - [j47]Chenggang Yan, Yunbin Tu, Xingzheng Wang, Yongbing Zhang, Xinhong Hao, Yongdong Zhang, Qionghai Dai:
STAT: Spatial-Temporal Attention Mechanism for Video Captioning. IEEE Trans. Multim. 22(1): 229-241 (2020) - [j46]Chenggang Yan, Yunbin Tu, Xingzheng Wang, Yongbing Zhang, Xinhong Hao, Yongdong Zhang, Qionghai Dai:
Corrections to "STAT: Spatial-Temporal Attention Mechanism for Video Captioning". IEEE Trans. Multim. 22(3): 830 (2020) - [j45]Yutao Liu, Ke Gu, Xiu Li, Yongbing Zhang:
Blind Image Quality Assessment by Natural Scene Statistics and Perceptual Characteristics. ACM Trans. Multim. Comput. Commun. Appl. 16(3): 91:1-91:91 (2020) - [c86]Xiu Li, Jiuyang Dong, Bowen Li, Yi Zhang, Yongbing Zhang, Ashok Veeraraghavan, Xiangyang Ji:
Fast confocal microscopy imaging based on deep learning. ICCP 2020: 1-12 - [c85]Shijing Yuan, Jie Li, Chentao Wu, Yusheng Ji, Yongbing Zhang:
DCVP: Distributed Collaborative Video Stream Processing in Edge Computing. ICPADS 2020: 625-632 - [c84]Hao Zhang, Haoqian Wang, Yongbing Zhang, Yanbin Peng:
DP2 Block: An Improved Multi-Scale Block for Pulmonary Nodule Detection. ISBI Workshops 2020: 1-4 - [i7]Mingcong Yang, Qian Wu, Maiko Shigeno, Yongbing Zhang:
Multilayer Routing and Resource Assignment in Spatial Channel Networks (SCNs): Oriented Toward the Massive SDM Era. CoRR abs/2002.02880 (2020) - [i6]Jiangpeng Yan, Shuo Chen, Xiu Li, Yongbing Zhang:
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction. CoRR abs/2002.09625 (2020) - [i5]Chenggang Yan, Zhisheng Li, Yongbing Zhang, Yutao Liu, Xiangyang Ji, Yongdong Zhang:
Depth image denoising using nuclear norm and learning graph model. CoRR abs/2008.03741 (2020) - [i4]Haibin Xie, Minquan Cheng, Yongbing Zhang:
Freshness-Optimal Caching for Information Updating Systems with Limited Cache Storage Capacity. CoRR abs/2012.14323 (2020)
2010 – 2019
- 2019
- [j44]Yongbing Zhang, Ze Cui, Xiangyang Ji, Haoqian Wang, Qionghai Dai