Yongbing Zhang

222 papers A* 20A 3B 17C 19Misc 7Journal 116Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A channel- adaptive and plug-and- play framework for hyperspectral image analysis. Inf. Fusion Taiqin Chen, Hao Sha, Yifeng Wang, Yuan Jiang, Shuai Liu, Zikun Zhou, Ke Chen, Yongbing Zhang
2026	J	`jnl`	Mining Temporal Priors for Template-Generated Video Compression. IEEE Trans. Circuits Syst. Video Technol. Feng Xing, Yingwen Zhang, Meng Wang, Hengyu Man, Yongbing Zhang, Shiqi Wang, Xiaopeng Fan, Wen Gao
2026	A*	`conf`	PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology. AAAI Fengchun Liu, Songhan Jiang, Linghan Cai, Ziyue Wang, Yongbing Zhang
2026	J	`jnl`	PathReasoner-R1: Instilling Structured Reasoning into Pathology Vision-Language Model via Knowledge-Guided Policy Optimization. CoRR Songhan Jiang, Fengchun Liu, Ziyue Wang, Linghan Cai, Yongbing Zhang
2026	J	`jnl`	SeCoMIL: Semantic Anchor-Based Context-Aware Multiple Instance Learning for Whole Slide Image Classification. IEEE Trans. Circuits Syst. Video Technol. Shenjin Huang, Guojun Liu, Linghan Cai, Hailun Cheng, Zichun Huang, Yongbing Zhang
2026	A*	`conf`	Spectral Property-Driven Data Augmentation for Hyperspectral Single-Source Domain Generalization. AAAI Taiqin Chen, Yifeng Wang, Xiaochen Feng, Zhilin Zhu, Hao Sha, Yingjian Li, Yongbing Zhang
2026	J	`jnl`	Spectral Property-Driven Data Augmentation for Hyperspectral Single-Source Domain Generalization. CoRR Taiqin Chen, Yifeng Wang, Xiaochen Feng, Zhilin Zhu, Hao Sha, Yingjian Li, Yongbing Zhang
2026	J	`jnl`	Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence. CoRR Kewen Cao, Jianxu Chen, Yongbing Zhang, Ye Zhang, Hongxiao Wang
2026	J	`jnl`	Uncertainty-Aware Survival Analysis With Dirichlet Distribution for Multi-Scale Pathology and Genomics. IEEE Trans. Medical Imaging Songhan Jiang, Linghan Cai, Zhengyu Gan, Yifeng Wang, Guo Tang, Yongbing Zhang
2025	J	`jnl`	A Multi-Perspective Self-Supervised Generative Adversarial Network for FS to FFPE Stain Transfer. IEEE Trans. Medical Imaging Yiyang Lin, Yifeng Wang, Zijie Fang, Zexin Li, Xianchao Guan, Danling Jiang, Yongbing Zhang
2025	J	`jnl`	A Semantically Enhanced Generative Foundation Model Improves Pathological Image Synthesis. CoRR Xianchao Guan, Zhiyuan Fan, Yifeng Wang, Fuqiang Chen, Yanjiang Zhou, Zengyang Che, Hongxue Meng, Xin Li, Yaowei Wang, Hongpeng Wang, Min Zhang, Heng Tao Shen, Zheng Zhang, Yongbing Zhang
2025	J	`jnl`	AHDMIL: Asymmetric Hierarchical Distillation Multi-Instance Learning for Fast and Accurate Whole-Slide Image Classification. CoRR Jiuyang Dong, Jiahan Li, Junjun Jiang, Kui Jiang, Yongbing Zhang
2025	J	`jnl`	AMH-Net: Adaptive Multi-Band Hybrid-Aware Network for Emotion Recognition in Speech. IEEE Signal Process. Lett. Hengrui Li, Yongbing Zhang, Shaohui Liu
2025	—	`conf`	AMKD: Adaptive Multi-modality Knowledge Distillation for Pathological Survival Analysis. ICIC (27) Yangfan Xu, Linghan Cai, Yifeng Wang, Hailun Cheng, Fengchun Liu, Runming Wang, Yongbing Zhang
2025	B	`conf`	An Efficient Hidden Markov Model-Based Sample Adaptive Offset Mode Decision Algorithm for Versatile Video Coding. DCC Feng Xing, Yingwen Zhang, Meng Wang, Hengyu Man, Yongbing Zhang, Shiqi Wang, Xiaopeng Fan
2025	J	`jnl`	AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes. Medical Image Anal. Linghan Cai, Shenjin Huang, Ye Zhang, Jinpeng Lu, Yongbing Zhang
2025	—	`conf`	CA-GAN: Context-Aware Generative Adversarial Networks for Pathological Image Super-Resolution. BIBM Zhiyuan Fan, Xianchao Guan, Yifeng Wang, Yongbing Zhang
2025	A*	`conf`	Category Prompt Mamba Network for Nuclei Segmentation and Classification. AAAI Ye Zhang, Zijie Fang, Yifeng Wang, Lingbo Zhang, Xianchao Guan, Yongbing Zhang
2025	J	`jnl`	Category Prompt Mamba Network for Nuclei Segmentation and Classification. CoRR Ye Zhang, Zijie Fang, Yifeng Wang, Lingbo Zhang, Xianchao Guan, Yongbing Zhang
2025	J	`jnl`	Context-Aware Contrastive Learning for Virtual IHC Staining With Inconsistent Image Pairs. IEEE Trans. Image Process. Jiahan Li, Yu Lei, Jiuyang Dong, Yongbing Zhang, Haiyu Zhou, Xiaopeng Fan
2025	Misc	`conf`	Correlated Multiple IHC Virtual Staining for Breast Histopathological Images. ICASSP Xianchao Guan, Zheng Zhang, Yifeng Wang, Ye Zhang, Danling Jiang, Yongbing Zhang
2025	A*	`conf`	Counting by Points: Density-Guided Weakly-Supervised Nuclei Segmentation in Histopathological Images. ACM Multimedia Lingbo Zhang, Bingqian Sun, Linghan Cai, Yifeng Wang, Ye Zhang, Songhan Jiang, Kai Zhang, Yongbing Zhang
2025	J	`jnl`	DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions. IEEE Trans. Circuits Syst. Video Technol. Ye Zhang, Yifeng Wang, Zijie Fang, Hao Bian, Linghan Cai, Ziyue Wang, Yongbing Zhang
2025	J	`jnl`	Disentangled Pseudo-Bag Augmentation for Whole Slide Image Multiple Instance Learning. IEEE Trans. Medical Imaging Jiuyang Dong, Junjun Jiang, Kui Jiang, Jiahan Li, Linghan Cai, Yongbing Zhang
2025	A*	`conf`	Efficient Self-Supervised Video Hashing with Selective State Spaces. AAAI Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia
2025	A*	`conf`	Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning. CVPR Jiuyang Dong, Junjun Jiang, Kui Jiang, Jiahan Li, Yongbing Zhang
2025	J	`jnl`	Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning. CoRR Jiuyang Dong, Junjun Jiang, Kui Jiang, Jiahan Li, Yongbing Zhang
2025	J	`jnl`	Focus Your Attention: Multiple Instance Learning With Attention Modification for Whole Slide Pathological Image Classification. IEEE Trans. Circuits Syst. Video Technol. Hailun Cheng, Shenjin Huang, Linghan Cai, Yangfan Xu, Runming Wang, Yongbing Zhang
2025	J	`jnl`	HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization. IEEE Trans. Medical Imaging Zijie Fang, Yifeng Wang, Peizhang Xie, Zhi Wang, Yongbing Zhang
2025	J	`jnl`	IPGPhormer: Interpretable Pathology Graph-Transformer for Survival Analysis. CoRR Guo Tang, Songhan Jiang, Jinpeng Lu, Linghan Cai, Yongbing Zhang
2025	Misc	`conf`	Multi-scale Context Intertwining for Panoramic Renal Pathology Segmentation. ICASSP Ye Zhang, Xianchao Guan, Hengrui Li, Xiangming Yan, Ziyue Wang, Yongbing Zhang
2025	A*	`conf`	OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer. AAAI Xianchao Guan, Yifeng Wang, Ye Zhang, Zheng Zhang, Yongbing Zhang
2025	J	`jnl`	PathAgent: Toward Interpretable Analysis of Whole-slide Pathology Images via Large Language Model-based Agentic Reasoning. CoRR Jingyun Chen, Linghan Cai, Zhikang Wang, Yi Huang, Songhan Jiang, Shenjin Huang, Hongpeng Wang, Yongbing Zhang
2025	J	`jnl`	PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology. CoRR Fengchun Liu, Songhan Jiang, Linghan Cai, Ziyue Wang, Yongbing Zhang
2025	J	`jnl`	PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis. CoRR Ye Zhang, Yu Zhou, Jingwen Qi, Yongbing Zhang, Simon Puettmann, Finn Wichmann, Larissa Pereira Ferreira, Lara Sichward, Julius Keyl, Sylvia Hartmann, Shuo Zhao, Hongxiao Wang, Xiaowei Xu, Jianxu Chen
2025	—	`conf`	Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction. MICCAI (6) Fengchun Liu, Linghan Cai, Zhikang Wang, Zhiyuan Fan, Jin-Gang Yu, Hao Chen, Yongbing Zhang
2025	J	`jnl`	Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction. CoRR Fengchun Liu, Linghan Cai, Zhikang Wang, Zhiyuan Fan, Jin-Gang Yu, Hao Chen, Yongbing Zhang
2025	A	`conf`	ROMA: Regularization for Out-of-distribution Detection with Masked Autoencoders. ICME Xiaochen Feng, Yuan Jiang, Hao Sha, Yongbing Zhang
2025	J	`jnl`	RadioDUN: A Physics-Inspired Deep Unfolding Network for Radio Map Estimation. CoRR Taiqin Chen, Zikun Zhou, Zheng Fang, Wenzhen Zou, Kanjun Liu, Ke Chen, Yongbing Zhang, Yaowei Wang
2025	A	`conf`	Relation-Aware Graph Attention Network for Nuclei Classification. ICME Lingbo Zhang, Ye Zhang, Linghan Cai, Xianchao Guan, Kai Zhang, Yongbing Zhang
2025	J	`jnl`	SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation. IEEE J. Biomed. Health Informatics Ye Zhang, Linghan Cai, Ziyue Wang, Yongbing Zhang
2025	J	`jnl`	Self-supervised Scalable Deep Compressed Sensing. Int. J. Comput. Vis. Bin Chen, Xuanyu Zhang, Shuai Liu, Yongbing Zhang, Jian Zhang
2025	J	`jnl`	Supervised Information Mining From Weakly Paired Images for Breast IHC Virtual Staining. IEEE Trans. Medical Imaging Xianchao Guan, Zheng Zhang, Yifeng Wang, Yueheng Li, Yongbing Zhang
2025	A*	`conf`	The Four Color Theorem for Cell Instance Segmentation. ICML Ye Zhang, Yu Zhou, Yifeng Wang, Jun Xiao, Ziyue Wang, Yongbing Zhang, Jianxu Chen
2025	J	`jnl`	The Four Color Theorem for Cell Instance Segmentation. CoRR Ye Zhang, Yu Zhou, Yifeng Wang, Jun Xiao, Ziyue Wang, Yongbing Zhang, Jianxu Chen
2024	J	`jnl`	AugDiff: Diffusion-Based Feature Augmentation for Multiple Instance Learning in Whole Slide Image. IEEE Trans. Artif. Intell. Zhuchen Shao, Liuxi Dai, Yifeng Wang, Haoqian Wang, Yongbing Zhang
2024	—	`conf`	Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation. MIDL Ye Zhang, Ziyue Wang, Yifeng Wang, Hao Bian, Linghan Cai, Hengrui Li, Lingbo Zhang, Yongbing Zhang
2024	J	`jnl`	Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation. CoRR Ye Zhang, Ziyue Wang, Yifeng Wang, Hao Bian, Linghan Cai, Hengrui Li, Lingbo Zhang, Yongbing Zhang
2024	J	`jnl`	D IEEE Trans. Circuits Syst. Video Technol. Weiqi Li, Bin Chen, Shuai Liu, Shijie Zhao, Bowen Du, Yongbing Zhang, Jian Zhang
2024	J	`jnl`	DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions. CoRR Ye Zhang, Yifeng Wang, Zijie Fang, Hao Bian, Linghan Cai, Ziyue Wang, Yongbing Zhang
2024	J	`jnl`	Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. Medical Image Anal. 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
2024	—	`conf`	Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation. MICCAI (8) Ziyue Wang, Ye Zhang, Yifeng Wang, Linghan Cai, Yongbing Zhang
2024	J	`jnl`	Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation. CoRR Ziyue Wang, Ye Zhang, Yifeng Wang, Linghan Cai, Yongbing Zhang
2024	J	`jnl`	Efficient Self-Supervised Video Hashing with Selective State Spaces. CoRR Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia
2024	—	`conf`	Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining. MICCAI (4) Yueheng Li, Xianchao Guan, Yifeng Wang, Yongbing Zhang
2024	A*	`conf`	GS-Hider: Hiding Messages into 3D Gaussian Splatting. NeurIPS Xuanyu Zhang, Jiarui Meng, Runyi Li, Zhipei Xu, Yongbing Zhang, Jian Zhang
2024	J	`jnl`	GS-Hider: Hiding Messages into 3D Gaussian Splatting. CoRR Xuanyu Zhang, Jiarui Meng, Runyi Li, Zhipei Xu, Yongbing Zhang, Jian Zhang
2024	—	`conf`	H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images. MICCAI (8) Jinpeng Lu, Jingyun Chen, Linghan Cai, Songhan Jiang, Yongbing Zhang
2024	J	`jnl`	H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images. CoRR Jinpeng Lu, Jingyun Chen, Linghan Cai, Songhan Jiang, Yongbing Zhang
2024	J	`jnl`	HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization. CoRR Zijie Fang, Yifeng Wang, Peizhang Xie, Zhi Wang, Yongbing Zhang
2024	J	`jnl`	Know your orientation: A viewpoint-aware framework for polyp segmentation. Medical Image Anal. Linghan Cai, Lijiang Chen, Jianhao Huang, Yifeng Wang, Yongbing Zhang
2024	—	`conf`	MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models. BIBM Zijie Fang, Yifeng Wang, Ye Zhang, Zhi Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang
2024	J	`jnl`	MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models. CoRR Zijie Fang, Yifeng Wang, Zhi Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang
2024	—	`conf`	Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images. MICCAI (4) Songhan Jiang, Zhengyu Gan, Linghan Cai, Yifeng Wang, Yongbing Zhang
2024	J	`jnl`	Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images. CoRR Songhan Jiang, Zhengyu Gan, Linghan Cai, Yifeng Wang, Yongbing Zhang
2024	J	`jnl`	Progressive Content-Aware Coded Hyperspectral Snapshot Compressive Imaging. IEEE Trans. Circuits Syst. Video Technol. Xuanyu Zhang, Bin Chen, Wenzhen Zou, Shuai Liu, Yongbing Zhang, Ruiqin Xiong, Jian Zhang
2024	J	`jnl`	Protect-Your-IP: Scalable Source-Tracing and Attribution against Personalized Generation. CoRR Runyi Li, Xuanyu Zhang, Zhipei Xu, Yongbing Zhang, Jian Zhang
2024	J	`jnl`	Publisher Correction: Reliable deep learning in anomalous diffusion against out-of-distribution dynamics. Nat. Comput. Sci. Xiaochen Feng, Hao Sha, Yongbing Zhang, Yaoquan Su, Shuai Liu, Yuan Jiang, Shangguo Hou, Sanyang Han, Xiangyang Ji
2024	J	`jnl`	Reliable deep learning in anomalous diffusion against out-of-distribution dynamics. Nat. Comput. Sci. Xiaochen Feng, Hao Sha, Yongbing Zhang, Yaoquan Su, Shuai Liu, Yuan Jiang, Shangguo Hou, Sanyang Han, Xiangyang Ji
2024	J	`jnl`	Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint. CoRR Linghan Cai, Shenjin Huang, Ye Zhang, Jinpeng Lu, Yongbing Zhang
2024	J	`jnl`	SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation. CoRR Ye Zhang, Linghan Cai, Ziyue Wang, Yongbing Zhang
2024	J	`jnl`	Unsupervised Multi-Domain Progressive Stain Transfer Guided by Style Encoding Dictionary. IEEE Trans. Image Process. Xianchao Guan, Yifeng Wang, Yiyang Lin, Xi Li, Yongbing Zhang
2024	A*	`conf`	Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning. CVPR Jiahan Li, Jiuyang Dong, Shenjin Huang, Xi Li, Junjun Jiang, Xiaopeng Fan, Yongbing Zhang
2023	J	`jnl`	A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT Images. CoRR Linghan Cai, Jianhao Huang, Zihang Zhu, Jinpeng Lu, Yongbing Zhang
2023	A*	`conf`	Accurate Image Restoration with Attention Retractable Transformer. ICLR Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
2023	J	`jnl`	AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image. CoRR Zhuchen Shao, Liuxi Dai, Yifeng Wang, Haoqian Wang, Yongbing Zhang
2023	J	`jnl`	Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review. CoRR 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
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR 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
2023	—	`conf`	Data Augmentation Based on DiscrimDiff for Histopathology Image Classification. DALI@MICCAI Xianchao Guan, Yifeng Wang, Yiyang Lin, Yongbing Zhang
2023	J	`jnl`	Deep Learning Predicts Biomarker Status and Discovers Related Histomorphology Characteristics for Low-Grade Glioma. CoRR 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
2023	J	`jnl`	Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR 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
2023	A*	`conf`	HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image. AAAI Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang
2023	J	`jnl`	HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image. CoRR Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang
2023	A*	`conf`	LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image. ICCV Zhuchen Shao, Yifeng Wang, Yang Chen, Hao Bian, Shaohui Liu, Haoqian Wang, Yongbing Zhang
2023	J	`jnl`	Physics-Inspired Compressive Sensing: Beyond deep unrolling. IEEE Signal Process. Mag. Jian Zhang, Bin Chen, Ruiqin Xiong, Yongbing Zhang
2023	J	`jnl`	Progressive Content-aware Coded Hyperspectral Compressive Imaging. CoRR Xuanyu Zhang, Bin Chen, Wenzhen Zou, Shuai Liu, Yongbing Zhang, Ruiqin Xiong, Jian Zhang
2023	—	`conf`	ST-MKSC: The FF-FFPE Stain Transfer Based on Multiple Key Structure Constraint. ISBI Zexin Li, Yiyang Lin, Yifeng Wang, Zijie Fang, Hao Bian, Runze Hu, Xiu Li, Yongbing Zhang
2023	J	`jnl`	Self-Supervised Scalable Deep Compressed Sensing. CoRR Bin Chen, Xuanyu Zhang, Shuai Liu, Yongbing Zhang, Jian Zhang
2023	—	`conf`	Unpaired H&E to PR Stain Transfer with Self-Supervised Auxiliary Segmentation. ISBI Yiyang Lin, Yifeng Wang, Yang Chen, Zirui Zhu, Zijie Fang, Miaorun Lin, Zexin Li, Yongbing Zhang
2023	A*	`conf`	Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint. AAAI Zijie Fang, Yang Chen, Yifeng Wang, Zhi Wang, Xiangyang Ji, Yongbing Zhang
2023	J	`jnl`	dMIL-Transformer: Multiple Instance Learning Via Integrating Morphological and Spatial Information for Lymph Node Metastasis Classification. IEEE J. Biomed. Health Informatics Yang Chen, Zhuchen Shao, Hao Bian, Zijie Fang, Yifeng Wang, Yuanhao Cai, Haoqian Wang, Guojun Liu, Xi Li, Yongbing Zhang
2022	J	`jnl`	Accurate Image Restoration with Attention Retractable Transformer. CoRR Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
2022	A*	`conf`	Cross Aggregation Transformer for Image Restoration. NeurIPS Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
2022	J	`jnl`	Cross Aggregation Transformer for Image Restoration. CoRR Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
2022	A*	`conf`	HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging. CVPR Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang
2022	J	`jnl`	High-Throughput Deep Unfolding Network for Compressive Sensing MRI. IEEE J. Sel. Top. Signal Process. Jian Zhang, Zhenyu Zhang, Jingfen Xie, Yongbing Zhang
2022	J	`jnl`	Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference. CoRR 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
2022	J	`jnl`	Mixed-UNet: Refined class activation mapping for weakly-supervised semantic segmentation with multi-scale inference. Frontiers Comput. Sci. 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
2022	J	`jnl`	Multi tasks RetinaNet for mitosis detection. CoRR Yang Chen, Ziyue Wang, Zijie Fang, Hao Bian, Yongbing Zhang
2022	—	`conf`	Multi-task RetinaNet for Mitosis Detection. MIDOG/DRAC@MICCAI Ziyue Wang, Yang Chen, Zijie Fang, Hao Bian, Yongbing Zhang
2022	—	`conf`	Multiple Instance Learning with Mixed Supervision in Gleason Grading. MICCAI (8) Hao Bian, Zhuchen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang, Yongbing Zhang
2022	J	`jnl`	Multiple Instance Learning with Mixed Supervision in Gleason Grading. CoRR Hao Bian, Zhuchen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang, Yongbing Zhang
2022	J	`jnl`	PUERT: Probabilistic Under-Sampling and Explicable Reconstruction Network for CS-MRI. IEEE J. Sel. Top. Signal Process. Jingfen Xie, Jian Zhang, Yongbing Zhang, Xiangyang Ji
2022	J	`jnl`	PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI. CoRR Jingfen Xie, Jian Zhang, Yongbing Zhang, Xiangyang Ji
2022	—	`conf`	Semi-Supervised Cell Instance Segmentation for Multi-Modality Microscope Images. Cell Segmentation Challenge @ NeurIPS Ziyue Wang, Zijie Fang, Yang Chen, Zexi Yang, Xinhao Liu, Yongbing Zhang
2022	—	`conf`	Semi-supervised PR Virtual Staining for Breast Histopathological Images. MICCAI (2) Bowei Zeng, Yiyang Lin, Yifeng Wang, Yang Chen, Jiuyang Dong, Xi Li, Yongbing Zhang
2022	A*	`conf`	Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images. AAAI Yiyang Lin, Bowei Zeng, Yifeng Wang, Yang Chen, Zijie Fang, Jian Zhang, Xiangyang Ji, Haoqian Wang, Yongbing Zhang
2022	J	`jnl`	WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. CoRR 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
2021	C	`conf`	A Distortion Propagation Oriented CU-tree Algorithm for x265. VCIP Xinye Jiang, Zhenyu Liu, Yongbing Zhang, Xiangyang Ji
2021	J	`jnl`	Accelerated Phase Shifting for Structured Illumination Microscopy Based on Deep Learning. IEEE Trans. Computational Imaging Xu Chen, Bowen Li, Shaowei Jiang, Terrance Zhang, Xu Zhang, Peiwu Qin, Xi Yuan, Yongbing Zhang, Guoan Zheng, Xiangyang Ji
2021	J	`jnl`	Depth Image Denoising Using Nuclear Norm and Learning Graph Model. ACM Trans. Multim. Comput. Commun. Appl. Chenggang Yan, Zhisheng Li, Yongbing Zhang, Yutao Liu, Xiangyang Ji, Yong-Dong Zhang
2021	J	`jnl`	HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging. CoRR Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang
2021	J	`jnl`	Precise No-Reference Image Quality Evaluation Based on Distortion Identification. ACM Trans. Multim. Comput. Commun. Appl. Chenggang Yan, Tong Teng, Yutao Liu, Yongbing Zhang, Haoqian Wang, Xiangyang Ji
2021	J	`jnl`	TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classication. CoRR Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang
2021	A*	`conf`	TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification. NeurIPS Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang
2020	J	`jnl`	Blind Image Quality Assessment by Natural Scene Statistics and Perceptual Characteristics. ACM Trans. Multim. Comput. Commun. Appl. Yutao Liu, Ke Gu, Xiu Li, Yongbing Zhang
2020	J	`jnl`	Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian Regularization. IEEE Trans. Circuits Syst. Video Technol. Yongbing Zhang, Yihui Feng, Xianming Liu, Deming Zhai, Xiangyang Ji, Haoqian Wang, Qionghai Dai
2020	J	`jnl`	Corrections to "STAT: Spatial-Temporal Attention Mechanism for Video Captioning". IEEE Trans. Multim. Chenggang Yan, Yunbin Tu, Xingzheng Wang, Yongbing Zhang, Xinhong Hao, Yongdong Zhang, Qionghai Dai
2020	—	`conf`	DP2 Block: An Improved Multi-Scale Block for Pulmonary Nodule Detection. ISBI Workshops Hao Zhang, Haoqian Wang, Yongbing Zhang, Yanbin Peng
2020	J	`jnl`	Depth image denoising using nuclear norm and learning graph model. CoRR Chenggang Yan, Zhisheng Li, Yongbing Zhang, Yutao Liu, Xiangyang Ji, Yongdong Zhang
2020	B	`conf`	Fast confocal microscopy imaging based on deep learning. ICCP Xiu Li, Jiuyang Dong, Bowen Li, Yi Zhang, Yongbing Zhang, Ashok Veeraraghavan, Xiangyang Ji
2020	J	`jnl`	Multiple Cycle-in-Cycle Generative Adversarial Networks for Unsupervised Image Super-Resolution. IEEE Trans. Image Process. Yongbing Zhang, Siyuan Liu, Chao Dong, Xinfeng Zhang, Yuan Yuan
2020	J	`jnl`	Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction. CoRR Jiangpeng Yan, Shuo Chen, Xiu Li, Yongbing Zhang
2020	J	`jnl`	Neural Architecture Search for compressed sensing Magnetic Resonance image reconstruction. Comput. Medical Imaging Graph. Jiangpeng Yan, Shou Chen, Yongbing Zhang, Xiu Li
2020	J	`jnl`	STAT: Spatial-Temporal Attention Mechanism for Video Captioning. IEEE Trans. Multim. Chenggang Yan, Yunbin Tu, Xingzheng Wang, Yongbing Zhang, Xinhong Hao, Yongdong Zhang, Qionghai Dai
2020	J	`jnl`	Simple accurate model-based phase diversity phase retrieval algorithm for wavefront sensing in high-resolution optical imaging systems. IET Image Process. Shun Qin, Yongbing Zhang, Haoqian Wang, Wai Kin Chan
2020	J	`jnl`	Unsupervised Blind Image Quality Evaluation via Statistical Measurements of Structure, Naturalness, and Perception. IEEE Trans. Circuits Syst. Video Technol. Yutao Liu, Ke Gu, Yongbing Zhang, Xiu Li, Guangtao Zhai, Debin Zhao, Wen Gao
2020	J	`jnl`	Weighted Convolutional Motion-Compensated Frame Rate Up-Conversion Using Deep Residual Network. IEEE Trans. Circuits Syst. Video Technol. Yongbing Zhang, Lixin Chen, Chenggang Yan, Peiwu Qin, Xiangyang Ji, Qionghai Dai
2019	J	`jnl`	3D Fourier Ptychographic Microscopy Based on the Beam Propagation Method and Time-Reversal Scheme. IEEE Access Yongbing Zhang, Ze Cui, Xiangyang Ji, Haoqian Wang, Qionghai Dai
2019	—	`conf`	A Deconvolutional Bottom-up Deep Network for multi-person pose estimation. IST Meng Li, Haoqian Wang, Yongbing Zhang, Yi Yang
2019	J	`jnl`	CG-Cast: Scalable Wireless Image SoftCast Using Compressive Gradient. IEEE Trans. Circuits Syst. Video Technol. Hangfan Liu, Ruiqin Xiong, Xiaopeng Fan, Debin Zhao, Yongbing Zhang, Wen Gao
2019	J	`jnl`	Collaborative Representation Cascade for Single-Image Super-Resolution. IEEE Trans. Syst. Man Cybern. Syst. Yongbing Zhang, Yulun Zhang, Jian Zhang, Dong Xu, Yun Fu, Yisen Wang, Xiangyang Ji, Qionghai Dai
2019	—	`conf`	Confidence Map Based 3D Cost Aggregation with Multiple Minimum Spanning Trees for Stereo Matching. ACPR (1) Yuhao Xiao, Dingding Xu, Guijin Wang, Xiaowei Hu, Yongbing Zhang, Xiangyang Ji, Li Zhang
2019	—	`conf`	Face Liveness Detection Based On Multiple Feature Descriptors. TAAI Jingjing Li, Xinfeng Zhang, Yongbing Zhang, Haoqian Wang, Fang Yang
2019	J	`jnl`	On the Mathematical Understanding of ResNet with Feynman Path Integral. CoRR Minghao Yin, Xiu Li, Yongbing Zhang, Shiqi Wang
2019	J	`jnl`	PgNN: Physics-guided Neural Network for Fourier Ptychographic Microscopy. CoRR Yongbing Zhang, Yangzhe Liu, Xiu Li, Shaowei Jiang, Krishna Dixit, Xinfeng Zhang, Xiangyang Ji
2019	B	`conf`	Recovering Extremely Degraded Faces by Joint Super-Resolution and Facial Composite. ICTAI Xiu Li, Guichun Duan, Zhouxia Wang, Jimmy S. J. Ren, Yongbing Zhang, Jiawei Zhang, Kaixiang Song
2019	A*	`conf`	Second-Order Attention Network for Single Image Super-Resolution. CVPR Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang
2018	J	`jnl`	Accurate saliency detection based on depth feature of 3D images. Multim. Tools Appl. Haoqian Wang, Bing Yan, Xingzheng Wang, Yongbing Zhang, Yi Yang
2018	J	`jnl`	Adaptive Residual Networks for High-Quality Image Restoration. IEEE Trans. Image Process. Yongbing Zhang, Lulu Sun, Chenggang Yan, Xiangyang Ji, Qionghai Dai
2018	—	`conf`	Content-Aware Bilateral Filtering. BigMM Tao Dai, Yongbing Zhang, Li Dong, Lida Li, Xin-Ji Liu, Shu-Tao Xia
2018	C	`conf`	Fast, Robust, and Accurate Image Denoising via Very Deeply Cascaded Residual Networks. MMSP Lulu Sun, Yongbing Zhang, Xingzheng Wang, Haoqian Wang, Qionghai Dai
2018	—	`conf`	Image Denoising with Local Dense and Adaptive Global Residual Networks. PCM (1) Lulu Sun, Yongbing Zhang, Chenggang Yan, Xiangyang Ji, Xinhong Hao, Yongdong Zhang, Qionghai Dai
2018	J	`jnl`	Referenceless quality metric of multiply-distorted images based on structural degradation. Neurocomputing Tao Dai, Ke Gu, Li Niu, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia
2018	J	`jnl`	Residual Highway Convolutional Neural Networks for in-loop Filtering in HEVC. IEEE Trans. Image Process. Yongbing Zhang, Tao Shen, Xiangyang Ji, Yun Zhang, Ruiqin Xiong, Qionghai Dai
2018	—	`conf`	Sparse-Region Net: Local-Enhanced Facial Depthmap Reconstruction from a Single Face Image. PCM (2) Haoqian Wang, Shuhao Zhang, Xingzheng Wang, Yongbing Zhang
2018	—	`conf`	Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks. CVPR Workshops Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin
2018	J	`jnl`	Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks. CoRR Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin
2018	A*	`conf`	When Deep Fool Meets Deep Prior: Adversarial Attack on Super-Resolution Network. ACM Multimedia Minghao Yin, Yongbing Zhang, Xiu Li, Shiqi Wang
2017	B	`conf`	An accurate saliency prediction method based on generative adversarial networks. ICIP Bing Yan, Haoqian Wang, Xingzheng Wang, Yongbing Zhang
2017	B	`conf`	Blind quality assessment of multiply-distorted images based on structural degradation. ICIP Tao Dai, Ke Gu, Zhiya Xu, Qingtao Tang, Haoyi Liang, Yongbing Zhang, Shu-Tao Xia
2017	J	`jnl`	Depth Estimation by Parameter Transfer With a Lightweight Model for Single Still Images. IEEE Trans. Circuits Syst. Video Technol. Hongwei Qin, Xiu Li, Yangang Wang, Yongbing Zhang, Qionghai Dai
2017	B	`conf`	Foveated nonlocal dual denoising. ICIP Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia
2017	J	`jnl`	Light-Field Depth Estimation via Epipolar Plane Image Analysis and Locally Linear Embedding. IEEE Trans. Circuits Syst. Video Technol. Yongbing Zhang, Huijin Lv, Yebin Liu, Haoqian Wang, Xingzheng Wang, Qian Huang, Xinguang Xiang, Qionghai Dai
2017	J	`jnl`	Multi-Task Rank Learning for Image Quality Assessment. IEEE Trans. Circuits Syst. Video Technol. Long Xu, Jia Li, Weisi Lin, Yongbing Zhang, Lin Ma, Yuming Fang, Yihua Yan
2017	J	`jnl`	Nonlocal Gradient Sparsity Regularization for Image Restoration. IEEE Trans. Circuits Syst. Video Technol. Hangfan Liu, Ruiqin Xiong, Xinfeng Zhang, Yongbing Zhang, Siwei Ma, Wen Gao
2017	J	`jnl`	Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior. IEEE Trans. Circuits Syst. Video Technol. Chen Zhao, Jian Zhang, Siwei Ma, Xiaopeng Fan, Yongbing Zhang, Wen Gao
2017	B	`conf`	Single depth image super-resolution and denoising based on sparse graphs via structure tensor. ICIP Yihui Feng, Xianming Liu, Yongbing Zhang, Qionghai Dai
2016	J	`jnl`	A Polynomial Approximation Motion Estimation Model for Motion-Compensated Frame Interpolation. IEEE Trans. Circuits Syst. Video Technol. Yongbing Zhang, Long Xu, Xiangyang Ji, Qionghai Dai
2016	J	`jnl`	CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution. IEEE Trans. Multim. Yongbing Zhang, Yulun Zhang, Jian Zhang, Qionghai Dai
2016	J	`jnl`	CONCOLOR: Constrained Non-Convex Low-Rank Model for Image Deblocking. IEEE Trans. Image Process. Jian Zhang, Ruiqin Xiong, Chen Zhao, Yongbing Zhang, Siwei Ma, Wen Gao
2016	C	`conf`	Decompressed video enhancement via accurate regression prior. VCIP Tao Shen, Yulun Zhang, Yongbing Zhang, Xingzheng Wang, Haoqian Wang, Qionghai Dai
2016	B	`conf`	Deep Convolutional Neural Network for Decompressed Video Enhancement. DCC Rongqun Lin, Yongbing Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai
2016	C	`conf`	Depth Feature Based Accurate Saliency Detection for 3D Images. PDCAT Bing Yan, Haoqian Wang, Xingzheng Wang, Yongbing Zhang
2016	—	`conf`	Fast and Accurate Image Denoising via a Deep Convolutional-Pairs Network. PCM (1) Lulu Sun, Yongbing Zhang, Wangpeng An, Jingtao Fan, Jian Zhang, Haoqian Wang, Qionghai Dai
2016	B	`conf`	Fourier ptychographic reconstruction using weighted replacement in the fourier domain. ICIP Pengming Song, Weixin Jiang, Yongbing Zhang, Qionghai Dai
2016	J	`jnl`	Free-Energy Principle Inspired Video Quality Metric and Its Use in Video Coding. IEEE Trans. Multim. Long Xu, Weisi Lin, Lin Ma, Yongbing Zhang, Yuming Fang, King Ngi Ngan, Songnan Li, Yihua Yan
2016	J	`jnl`	High-Efficiency 3D Depth Coding Based on Perceptual Quality of Synthesized Video. IEEE Trans. Image Process. Yun Zhang, Xiaoxiang Yang, Xiangkai Liu, Yongbing Zhang, Gangyi Jiang, Sam Kwong
2016	J	`jnl`	Pairwise comparison and rank learning for image quality assessment. Displays Long Xu, Jia Li, Weisi Lin, Yun Zhang, Yongbing Zhang, Yihua Yan
2016	A	`conf`	Parameterized reconstruction based Fourier Ptychography. ICME Weixin Jiang, Yongbing Zhang, Qionghai Dai
2016	C	`conf`	Single image super-resolution via projective dictionary learning with anchored neighborhood regression. VCIP Yihui Feng, Yongbing Zhang, Yulun Zhang, Tao Shen, Qionghai Dai
2015	—	`conf`	A Novel Edit Propagation Algorithm via L0 Gradient Minimization. PCM (1) Zhenyuan Guo, Haoqian Wang, Kai Li, Yongbing Zhang, Xingzheng Wang, Qionghai Dai
2015	C	`conf`	A novel light field super-resolution framework based on hybrid imaging system. VCIP Judong Wu, Haoqian Wang, Xingzheng Wang, Yongbing Zhang
2015	C	`conf`	Accurate image specular highlight removal based on light field imaging. VCIP Chenxue Xu, Xingzheng Wang, Haoqian Wang, Yongbing Zhang
2015	C	`conf`	Adaptive local nonparametric regression for fast single image super-resolution. VCIP Yulun Zhang, Yongbing Zhang, Jian Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai
2015	—	`conf`	Depth Map Upsampling via Progressive Manner Based on Probability Maximization. PCM (2) Rongqun Lin, Yongbing Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai
2015	Misc	`conf`	Image colorization using hybrid domain transform. ICASSP Hongbo Ao, Yongbing Zhang, Qionghai Dai
2015	B	`conf`	Image deblocking using group-based sparse representation and quantization constraint prior. ICIP Jian Zhang, Siwei Ma, Yongbing Zhang, Wen Gao
2015	B	`conf`	Image super-resolution based on dictionary learning and anchored neighborhood regression with mutual incoherence. ICIP Yulun Zhang, Kaiyu Gu, Yongbing Zhang, Jian Zhang, Qionghai Dai
2015	—	`conf`	Light Field Editing Based on Reparameterization. PCM (1) Hongbo Ao, Yongbing Zhang, Adrián Jarabo, Belén Masiá, Yebin Liu, Diego Gutierrez, Qionghai Dai
2015	—	`conf`	Light field depth estimation exploiting linear structure in EPI. ICME Workshops Huijin Lv, Kaiyu Gu, Yongbing Zhang, Qionghai Dai
2015	Misc	`conf`	Multi-task rank learning for image quality assessment. ICASSP Long Xu, Jia Li, Weisi Lin, Yongbing Zhang, Lin Ma, Yuming Fang, Yun Zhang, Yihua Yan
2015	—	`conf`	Single Image Super-Resolution via Iterative Collaborative Representation. PCM (2) Yulun Zhang, Yongbing Zhang, Jian Zhang, Haoqian Wang, Qionghai Dai
2015	—	`conf`	Single depth image super resolution via a dual sparsity model. ICME Workshops Yulun Zhang, Yongbing Zhang, Qionghai Dai
2014	Misc	`conf`	Automatic foreground extraction in video. ICASSP Haoqian Wang, Bowen Deng, Kai Li, Yongbing Zhang, Lei Zhang
2014	—	`conf`	DEPT: Depth Estimation by Parameter Transfer for Single Still Images. ACCV (2) Xiu Li, Hongwei Qin, Yangang Wang, Yongbing Zhang, Qionghai Dai
2014	C	`conf`	Depth map super-resolution via iterative joint-trilateral-upsampling. VCIP Yangguang Li, Lei Zhang, Yongbing Zhang, Huiming Xuan, Qionghai Dai
2014	—	`conf`	Fast Disparity Estimation and Mode Decision for Multi-view Video Coding. ICMB Haoqian Wang, Chengli Du, Xingzheng Wang, Yongbing Zhang, Lei Zhang
2014	C	`conf`	Real-time air quality estimation based on color image processing. VCIP Haoqian Wang, Xin Yuan, Xingzheng Wang, Yongbing Zhang, Qionghai Dai
2014	C	`conf`	Synthesis-guided depth super resolution. VCIP Huijin Lv, Yongbing Zhang, Kai Li, Xingzheng Wang, Huiming Xuan, Qionghai Dai
2014	J	`jnl`	Texture aided depth frame interpolation. Signal Process. Image Commun. Yongbing Zhang, Jian Zhang, Qionghai Dai
2013	C	`conf`	A novel depth propagation algorithm with color guided motion estimation. VCIP Haoqian Wang, Yushi Tian, Yongbing Zhang
2013	C	`conf`	Effective stereo matching using reliable points based graph cut. VCIP Haoqian Wang, Mian Wu, Yongbing Zhang, Lei Zhang
2013	J	`jnl`	Stereo Interleaving Video Coding With Content Adaptive Image Subsampling. IEEE Trans. Circuits Syst. Video Technol. Yongbing Zhang, Xiangyang Ji, Haoqian Wang, Qionghai Dai
2013	J	`jnl`	Up-sampling oriented frame rate reduction. Signal Process. Image Commun. Yongbing Zhang, Haoqian Wang, Debin Zhao
2012	B	`conf`	A Single Frame Super-Resolution Method Based on Matrix Completion. DCC Changjun Fu, Xiangyang Ji, Yongbing Zhang, Qionghai Dai
2012	B	`conf`	Content Adaptive Subsampling for Stereo Interleaving Video Coding. DCC Yongbing Zhang, Xiangyang Ji, Haoqian Wang, Lei Zhang, Qionghai Dai
2012	Misc	`conf`	Geometric mapping assisted multi-view depth video coding. ICASSP Qiong Liu, Yongbing Zhang, Xiangyang Ji, Qionghai Dai
2012	B	`conf`	Packet Video Error Concealment Based on Compressed Sensing and Regularized Least Squares. DCC Changjun Fu, Xiangyang Ji, Yongbing Zhang, Qionghai Dai
2012	J	`jnl`	Packet Video Error Concealment With Auto Regressive Model. IEEE Trans. Circuits Syst. Video Technol. Yongbing Zhang, Xinguang Xiang, Debin Zhao, Siwei Ma, Wen Gao
2012	C	`conf`	Robust joint reconstruction in compressed multi-view imaging. PCS Qionghai Dai, Changjun Fu, Xiangyang Ji, Yongbing Zhang
2012	J	`jnl`	Side information generation with auto regressive model for low-delay distributed video coding. J. Vis. Commun. Image Represent. Yongbing Zhang, Debin Zhao, Hongbin Liu, Yongpeng Li, Siwei Ma, Wen Gao
2011	—	`conf`	Enhanced rate-distortion optimization for stereo interleaving video coding. IC3D Qian Ma, Yongbing Zhang, Qiong Liu, Xiangyang Ji, Qionghai Dai
2011	J	`jnl`	Interpolation-Dependent Image Downsampling. IEEE Trans. Image Process. Yongbing Zhang, Debin Zhao, Jian Zhang, Ruiqin Xiong, Wen Gao
2011	C	`conf`	Stereoscopic video coding in AVS. VCIP Xiangyang Ji, Yongbing Zhang, Lu Yu, Gwo Giun Lee
2011	B	`conf`	Up-sampling Dependent Frame Rate Reduction for Low Bit-Rate Video Coding. DCC Yongbing Zhang, Haoqian Wang, Debin Zhao
2010	J	`jnl`	A Motion-Aligned Auto-Regressive Model for Frame Rate Up Conversion. IEEE Trans. Image Process. Yongbing Zhang, Debin Zhao, Siwei Ma, Ronggang Wang, Wen Gao
2010	B	`conf`	Auto Regressive Model and Weighted Least Squares Based Packet Video Error Concealment. DCC Yongbing Zhang, Xinguang Xiang, Siwei Ma, Debin Zhao, Wen Gao
2010	Misc	`conf`	Context-adaptive pixel based prediction for intra frame encoding. ICASSP Yongbing Zhang, Li Zhang, Siwei Ma, Debin Zhao, Wen Gao
2010	J	`jnl`	Corrections to "A Spatio-Temporal Auto Regressive Model for Frame Rate Up-Conversion" [Sep 09 1289-1301]. IEEE Trans. Circuits Syst. Video Technol. Yongbing Zhang, Debin Zhao, Xiangyang Ji, Ronggang Wang, Wen Gao
2010	C	`conf`	Low bit-rate image coding via interpolation oriented adaptive down-sampling. VCIP Yongbing Zhang, Jian Zhang, Ruiqin Xiong, Debin Zhao, Siwei Ma
2009	J	`jnl`	A Spatio-Temporal Auto Regressive Model for Frame Rate Upconversion. IEEE Trans. Circuits Syst. Video Technol. Yongbing Zhang, Debin Zhao, Xiangyang Ji, Ronggang Wang, Wen Gao
2009	C	`conf`	A high efficient error concealment scheme based on auto-regressive model for video coding. PCS Xinguang Xiang, Yongbing Zhang, Debin Zhao, Siwei Ma, Wen Gao
2009	C	`conf`	An auto-regressive model for checkboard splitting based Wyner-Ziv coding. PCS Yongbing Zhang, Debin Zhao, Siwei Ma, Ronggang Wang, Wen Gao
2009	—	`conf`	Fast and Effective Interpolation Using Median Filter. PCM Jian Zhang, Siwei Ma, Yongbing Zhang, Debin Zhao
2009	B	`conf`	Joint learning for side information and correlation model based on linear regression model in distributed video coding. ICIP Xianming Liu, Debin Zhao, Yongbing Zhang, Siwei Ma, Qingming Huang, Wen Gao
2009	C	`conf`	Local adaptive learning and fusion for side information interpolation in distributed video coding. PCS Xianming Liu, Yongbing Zhang, Yongpeng Li, Hongbin Liu, Siwei Ma, Debin Zhao
2009	—	`conf`	Nonlocal Edge-Directed Interpolation. PCM Xinfeng Zhang, Siwei Ma, Yongbing Zhang, Li Zhang, Wen Gao
2008	—	`conf`	A JND Guided Foveation Video Coding. PCM Erli Zhang, Debin Zhao, Yongbing Zhang, Hongbin Liu, Siwei Ma, Ronggang Wang
2008	—	`conf`	A No-Reference Blocking Artifacts Metric Using Selective Gradient and Plainness Measures. PCM Jianhua Chen, Yongbing Zhang, Luhong Liang, Siwei Ma, Ronggang Wang, Wen Gao
2007	—	`conf`	A Spatio-Temporal Autoregressive Frame Rate Up Conversion Scheme. ICIP (1) Yongbing Zhang, Debin Zhao, Xiangyang Ji, Ronggang Wang, Xilin Chen
2006	—	`conf`	Video Coding by Texture Analysis and Synthesis Using Graph Cut. PCM Yongbing Zhang, Xiangyang Ji, Debin Zhao, Wen Gao