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Yang C, Liu Y, Li D, Jiang T. Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method. IEEE Trans. Circuits Syst. Video Technol. [Internet]. 2024;34:12715–12729. 访问链接

Li Z, Ye W, Jiang T, Huang T-J. GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation. IEEE Trans. Multim. [Internet]. 2024;26:3924–3936. 访问链接

Shi R, Bi K, Du K, Ma L, Fang F, Duan L, Jiang T, Huang T-J. PS-Net: human perception-guided segmentation network for EM cell membrane. Bioinform. [Internet]. 2023;39. 访问链接

Liu Z, Xiong R, Jiang T. CI-Net: Clinical-Inspired Network for Automated Skin Lesion Recognition. IEEE Trans. Medical Imaging [Internet]. 2023;42:619–632. 访问链接

Liu Y, Jiang M, Jiang T. Transferable adversarial examples based on global smooth perturbations. Comput. Secur. [Internet]. 2022;121:102816. 访问链接

Shi R, Wang W, Li Z, He L, Sheng K, Ma L, Du K, Jiang T, Huang T. U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms. Frontiers Comput. Neurosci. [Internet]. 2022;16:842760. 访问链接

Liu Z, Li Z, Hu Z, Xia Q, Xiong R, Zhang S, Jiang T. Contrastive and Selective Hidden Embeddings for Medical Image Segmentation. IEEE Trans. Medical Imaging [Internet]. 2022;41:3398–3410. 访问链接

Li D, Jiang T, Jiang M. Unified Quality Assessment of in-the-Wild Videos with Mixed Datasets Training. Int. J. Comput. Vis. [Internet]. 2021;129:1238–1257. 访问链接

Roß T, Reinke A, Full PM, Wagner M, Kenngott H, Apitz M, Hempe H, M\^ındroc-Filimon D, Scholz P, Tran TN, et al. Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. Medical Image Anal. [Internet]. 2021;70:101920. 访问链接

Liu D, Jiang T, Wang Y, Miao R, Shan F, Li Z. Clearness of operating field: a surrogate for surgical skills on in vivo clinical data. Int. J. Comput. Assist. Radiol. Surg. [Internet]. 2020;15:1817–1824. 访问链接

Li D, Jiang T, Lin W, Jiang M. Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?. IEEE Trans. Multim. [Internet]. 2019;21:1221–1234. 访问链接

Heng W, Jiang T, Gao W. How to Assess the Quality of Compressed Surveillance Videos Using Face Recognition. IEEE Trans. Circuits Syst. Video Technol. [Internet]. 2019;29:2229–2243. 访问链接

Fan Z, Jiang T, Huang T. Active Sampling Exploiting Reliable Informativeness for Subjective Image Quality Assessment Based on Pairwise Comparison. IEEE Trans. Multim. [Internet]. 2017;19:2720–2735. 访问链接

Qi F, Zhao D, Fan X, Jiang T. Stereoscopic video quality assessment based on visual attention and just-noticeable difference models. Signal Image Video Process. [Internet]. 2016;10:737–744. 访问链接

Guo G, Wang Y, Jiang T, Yuille AL, Fang F, Gao W. A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization. Int. J. Comput. Vis. [Internet]. 2014;108:241–258. 访问链接

Wang L, Wang Y, Jiang T, Zhao D, Gao W. Learning discriminative features for fast frame-based action recognition. Pattern Recognit. [Internet]. 2013;46:1832–1840. 访问链接

Guo G, Jiang T, Wang Y, Gao W. Recovering Missing Contours for Occluded Object Detection. IEEE Signal Process. Lett. [Internet]. 2012;19:463–466. 访问链接

Wang Y, Jiang T, Ma S, Gao W. Novel Spatio-Temporal Structural Information Based Video Quality Metric. IEEE Trans. Circuits Syst. Video Technol. [Internet]. 2012;22:989–998. 访问链接

Xu Q, Huang Q, Jiang T, Yan B, Lin W, Yao Y. HodgeRank on Random Graphs for Subjective Video Quality Assessment. IEEE Trans. Multim. [Internet]. 2012;14:844–857. 访问链接