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Xiong Zhou, Xianming Liu*, Deming Zhai, Junjun Jiang, Xiangyang Ji, "Asymmetric Loss Functions for Noise-tolerant Learning: Theory and Applications", accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (CCF-A).
Wenbo Zhao, Xianming Liu*, Deming Zhai, Junjun Jiang, Xiangyang Ji, "Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling", accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (CCF-A).
Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu, "ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation", accepted by IEEE Transactions on Neural Networks and Learning Systems.
Zhiwei Zhong, Xianming Liu*, Junjun Jiang, Debin Zhao, Xiangyang Ji, "Guided Depth Map Super-resolution: A Survey", accepted by ACM Computing Surveys.
Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu, "Spatial-Frequency Mutual Learning for Face Super-Resolution", accepted by CVPR2023 （CCF-A）
Zhiwei Zhong, Xianming Liu*, Junjun Jiang, Debin Zhao, Xiangyang Ji, "Deep Attentional Guided Image Filtering", accepted by IEEE Transactions on Neural Networks and Learning Systems.
Kai Wang, Yuanchao Bai, Deming Zhai, Daxin Li, Junjun Jiang, Xianming Liu*, "Learning Lossless Image Compression for High Bit-Depth Medical Imaging ", accepted by ICME2023
Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu, "Super-Resolving Face Image by Facial Parsing Information", accepted by IEEE Transactions on Biometrics, Behavior, and Identity Science.
Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng shao, Junjun Jiang, Xianming Liu*, "Large Sparse Kernels for Federated Learning", accepted by ICLR2023 (Tiny Paper)
Shiyi Lin, Deming Zhai, Feilong Zhang, Junjun Jiang, Xianming Liu*, Xiangyang Ji, "Overhead-Free Noise-Tolerant Federated Learning: A New Baseline", accepted by Machine Intelligence Research
Feilong Zhang, Xianming Liu*, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji, "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", accepted by ICML2023 (CCF-A)
Hanzhang Wang, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao, "Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-local Attention", IEEE Transactions on Image Processing, 2023 （CCF-A）
Gang Wu, Junjun Jiang, Xianming Liu, "A Practical Contrastive Learning Framework for Single Image Super-Resolution", accepted by IEEE Transactions on Neural Networks and Learning Systems.
Li, Z., Chen, Z., Liu, X. Jiang, J. DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation. Machine Intelligence Research (2023).
Wenbo Zhao, Xianming Liu*, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji, "Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising", AAAI2022（CCF-A）
Yuanchao Bai#, Xu Yang#, Xianming Liu*, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao, "Towards End-to-End Image Compression and Analysis with Transformers", AAAI2022（CCF-A）
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao, "SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations", AAAI2022（CCF-A）
Xiong Zhou, Xianming Liu*, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji, "Learning Towards the Largest Margins", ICLR2022 【机器学习三大顶会之一】
Yiqi Zhong, Xianming Liu*, Deming Zhai, Junjun Jiang, Xiangyang Ji, "Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon", CVPR2022（CCF-A）【code】
Wenbo Zhao, Xianming Liu*, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji, "Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation", CVPR2022（CCF-A）
Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma, "Multi-task Interaction learning for Spatiospectral Image Super-Resolution", To appear in IEEE Transactions on Image Processing, 2022 （CCF-A）
江俊君，李震宇，刘贤明，"基于深度学习的单目深度估计方法综述"，计算机学报 （CCF-A）
Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma, "BaMBNet: A Blur-aware Multi-branch Network for Dual-Pixel Defocus Deblurring", To appear in IEEE/CAA Journal of Automatica Sinica (自动化学报英文版，CCF-T1)
Zhenyu Li, Junjun Jiang, Xianming Liu, "Self-supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty", To appear in IEEE/CAA Journal of Automatica Sinica (自动化学报英文版，CCF-T1)
Xiong Zhou, Xianming Liu*, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji, "Prototype-anchored Learning for Learning with Imperfect Annotations", ICML2022 (CCF-A).
Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu, "Propagating Facial Prior Knowledge for Multi-Task Learning in Face Super-Resolution", To appearin IEEE Transactions on Circuits and Systems for Video Technology, 2022
Cheng Guo, Xianming Liu, Feilong Zhang, Yongbin Du, Shenghao Zheng, Zehua Wang, Xiaoqing Zhang, Xingchi Kan, Zhengjun Liu, and Weibo Wang, "Lensfree on-chip microscopy based on single-plane phase retrieval", Optics Express, Vol. 30, Issue 11, pp. 19855-19870 (2022)
Tong Shao, Deming Zhai, Junjun Jiang, Xianming Liu, "Hybrid Conditional Deep Inverse Tone Mapping", ACM Multimedia 2022 (CCF-A)
Jinwang Pan, Deming Zhai, Yuanchao Bai, Junjun Jiang, Debin Zhao, Xianming Liu, "ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement", ACM Multimedia 2022 (CCF-A)
Jialei Xu, Xianming Liu*, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji, "Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation", ACM Multimedia 2022 (CCF-A)
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, "Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training", ECCV2022【计算机视觉三大顶会之一】
Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma, "Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion", ECCV2022【计算机视觉三大顶会之一】
Yi Niu, Mingming Ma, Fu Li, Xianming Liu, Guangming Shi: ACO: lossless quality score compression based on adaptive coding order. BMC Bioinformatics. 23(1): 219 (2022)
Zhiwei Zhong, Xianming Liu*, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji, "High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion", To appear in IEEE Transactions on Image Processing, 2021 （CCF-A）.
Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro, "Graph Signal Processing for Geometric Data and Beyond: Theory and Applications", To appear in IEEE Transactions on Multimedia, 2021.
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu, "Fully Unsupervised Person Re-identification via Selective Contrastive Learning", To appear in ACM Transactions on Multimedia Computing Communications and Applications (ACM TOMM), 2021.
Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma, "Deep Learning-based Face Super-resolution: A Survey", To appear in ACM Computing Surveys, 2021.
Xiong Zhou, Xianming Liu*, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji, "Learning with Noisy Labels via Sparse Regularization", ICCV2021 (CCF-A).
Wenbo Zhao, Xianming Liu, Xiaopeng Fan, Debin Zhao, "NormalNet: Learning-based Mesh Normal Denoising via Local Partition Normalization", To appear in IEEE Transactions on Circuits and Systems for Video Technology.
Jiliang Yan, Deming Zhai, Junjun Jiang, Xianming Liu, "Target-guided Adaptive Base Class Reweighting for Few-Shot Learning", ACM Multimedia 2021 (CCF-A).
Xiong Zhou, Xianming Liu*, Junjun Jiang, Xin Gao, Xiangyang Ji, "Asymmetric Loss Functions for Learning with Noisy Labels", ICML2021 (CCF-A).
Feilong Zhang, Xianming Liu*, Cheng Guo, Shiyi Lin, Junjun Jiang, Xiangyang Ji, “Physics-based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging”，CVPR2021 (CCF-A).
Yuanchao Bai, Xianming Liu*, Wangmeng Zuo, Yaowei Wang, Xiangyang Ji, "Learning Scalable L∞-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression"， CVPR2021 (CCF-A).
李强，刘贤明*，韩凯歌，江俊君，季向阳，“基于深度学习的数字病理扫描系统单次曝光自动对焦方法”，中国科学: 信息科学（CCF-A类中文期刊）
Qiang Li, Xianming Liu*, Kaige Han, Cheng Guo, Junjun Jiang, Xiangyang Ji, Xiaolin Wu, “Learning to Autofocus in Whole Slide Imaging via Physics-guided Deep Cascade Networks," Optics Express, DOI:10.1364/OE.416824, January 2021
Qiang Li, Xianming Liu*, Junjun Jiang, Cheng Guo, Xiangyang Ji, Xiaolin Wu, “Rapid Whole Slide Imaging via Dual-shot Deep Autofocusing," IEEE Transactions on Computational Imaging, vol. 7, pp. 124-136, 2021
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu, “Single Image Deraining via Scale-space Invariant Attention Neural Network", in Proceedings of the 28th ACM International Conference on Multimedia (MM’20), October 12–16, 2020, Seattle, WA, USA，9 pages. (Oral)
Junjun Jiang, He Sun, Xianming Liu*, and Jiayi Ma, “Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery,” To appear in IEEE Transactions on Computational Imaging (TCI), 2020
Junjun Jiang, Jiayi Ma, and Xianming Liu. "Multi-Layer Spectral-Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification", To appear in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.
Wenbo Zhao, Xianming Liu*, Shiqi Wang, Xiaopeng Fan, Debin Zhao, "Graph-based Feature-Preserving Mesh Normal Filtering," IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020.
Xianming Liu, Deming Zhai, Yuanchao Bai, Xiangyang Ji, Wen Gao: Contrast Enhancement via Dual Graph Total Variation-Based Image Decomposition. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2463-2476 (2020)
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)
Yuanchao Bai, Huizhu Jia, Ming Jiang, Xianming Liu, Xiaodong Xie, Wen Gao: Single-Image Blind Deblurring Using Multi-Scale Latent Structure Prior. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2033-2045 (2020)
Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu: ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. ICASSP 2020: 2668-2672
Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu: Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. ICASSP 2020: 2518-2522
Zhanjian Shen, Deming Zhai, Xianming Liu, Junjun Jiang: SEMI-SUPERVISED GRAPH CONVOLUTIONAL HASHING NETWORK FOR LARGE-SCALE CROSS-MODAL RETRIEVAL, ICIP 2020.
Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xianming Liu: Hyperspectral Image Classification in the Presence of Noisy Labels. IEEE Trans. Geosci. Remote. Sens. 57(2): 851-865 (2019)
Deming Zhai, Xianming Liu*, Xiangyang Ji, Debin Zhao, Wen Gao: Joint Gaze Correction and Face Beautification for Conference Video Using Dual Sparsity Prior. IEEE Trans. Ind. Electron. 66(12): 9601-9611 (2019)
Junjun Jiang, Yi Yu, Zheng Wang, Xianming Liu, Jiayi Ma: Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis. IEEE Trans. Image Process. 28(2): 628-641 (2019)
Xianming Liu, Deming Zhai, Rong Chen, Xiangyang Ji, Debin Zhao, Wen Gao: Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds. IEEE Trans. Image Process. 28(3): 1068-1079 (2019)
Xianming Liu, Gene Cheung, Xiangyang Ji, Debin Zhao, Wen Gao: Graph-Based Joint Dequantization and Contrast Enhancement of Poorly Lit JPEG Images. IEEE Trans. Image Process. 28(3): 1205-1219 (2019)
Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao: Graph-Based Blind Image Deblurring From a Single Photograph. IEEE Trans. Image Process. 28(3): 1404-1418 (2019)
Xianming Liu, Deming Zhai, Rong Chen, Xiangyang Ji, Debin Zhao, Wen Gao: Depth Super-Resolution via Joint Color-Guided Internal and External Regularizations. IEEE Trans. Image Process. 28(4): 1636-1645 (2019)
Yuanchao Bai, Gene Cheung, Fen Wang, Xianming Liu, Wen Gao: Reconstruction-cognizant Graph Sampling Using Gershgorin Disc Alignment. ICASSP 2019: 5396-5400
Cheng Guo, Xianming Liu, Xingchi Kan, Feilong Zhang, Jiubin Tan, Shutian Liu, and Zhengjun Liu, "Lensfree on-chip microscopy based on dual-plane phase retrieval," Optical Express 27(24), 35216-35229 (2019)
Cheng Guo, Xianming Liu, Xinchi Kan, Feilong Zhang, Jiubin Tan, Shutian Liu, Cuimei Tan, Zhengjun Liu, "Artifactless lensfree coherent microscopy with quasi-three-dimensional scanning," Measurement Science and Technology (31)4 , 2019
Xianming Liu, Gene Cheung, Chia-Wen Lin, Debin Zhao, Wen Gao: Prior-Based Quantization Bin Matching for Cloud Storage of JPEG Images. IEEE Trans. Image Process. 27(7): 3222-3235 (2018)
Deming Zhai, Xianming Liu, Hong Chang, Yi Zhen, Xilin Chen, Maozu Guo, Wen Gao: Parametric local multiview hamming distance metric learning. Pattern Recognit. 75: 250-262 (2018)
Yutao Liu, Guangtao Zhai, Ke Gu, Xianming Liu, Debin Zhao, Wen Gao: Reduced-Reference Image Quality Assessment in Free-Energy Principle and Sparse Representation. IEEE Trans. Multimedia 20(2): 379-391 (2018)
Deming Zhai, Xianming Liu, Xiangyang Ji, Debin Zhao, Shin'ichi Satoh, Wen Gao: Supervised Distributed Hashing for Large-Scale Multimedia Retrieval. IEEE Trans. Multimedia 20(3): 675-686 (2018)
Qiang Song, Ruiqin Xiong, Xiaopeng Fan, Xianming Liu, Tiejun Huang, Wen Gao: Compressed Image Restoration via External-Image Assisted Band Adaptive PCA Model Learning. DCC 2018: 97-106
Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao: Blind Image Deblurring Via Reweighted Graph Total Variation. ICASSP 2018: 1822-1826
Zhaohui Che, Guangtao Zhai, Jing Liu, Ke Gu, Patrick Le Callet, Jiantao Zhou, Xianming Liu: A Blind Quality Measure for Industrial 2D Matrix Symbols Using Shallow Convolutional Neural Network. ICIP 2018: 2481-2485
Rong Chen, Deming Zhai, Xianming Liu, Debin Zhao: Noise-Aware Super-Resolution of Depth Maps Via Graph-Based Plug-And-Play Framework. ICIP 2018: 2536-2540
Zhaohui Che, Guangtao Zhai, Ke Gu, Patrick Le Callet, Xianming Liu, Deming Zhai, Xiao Gu: Adaptive Screen Content Image Enhancement Strategy using Layer-based Segmentation. ISCAS 2018: 1-5
Rong Chen, Deming Zhai, Xianming Liu, Debin Zhao: Color-Guided Depth Map Super-Resolution via Joint Graph Laplacian and Gradient Consistency Regularization. MMSP 2018: 1-5
Deming Zhai, Ao Li, Yang Li, Yang Liu, GuoJun Liu, Xianming Liu, Maozu Guo: Discrete Manifold-Regularized Collaborative Filtering for Large-Scale Recommender Systems. PCM 2018: 513-523
Xianming Liu, Gene Cheung, Xiaolin Wu, Debin Zhao: Random Walk Graph Laplacian-Based Smoothness Prior for Soft Decoding of JPEG Images. IEEE Trans. Image Process. 26(2): 509-524 (2017)
Xianming Liu, Deming Zhai, Jiantao Zhou, Shiqi Wang, Debin Zhao, Huijun Gao: Sparsity-Based Image Error Concealment via Adaptive Dual Dictionary Learning and Regularization. IEEE Trans. Image Process. 26(2): 782-796 (2017)
Yutao Liu, Ke Gu, Guangtao Zhai, Xianming Liu, Debin Zhao, Wen Gao: Quality assessment for real out-of-focus blurred images. J. Vis. Commun. Image Represent. 46: 70-80 (2017)
Shiqi Wang, Xinfeng Zhang, Xianming Liu, Jian Zhang, Siwei Ma, Wen Gao: Utility-Driven Adaptive Preprocessing for Screen Content Video Compression. IEEE Trans. Multimedia 19(3): 660-667 (2017)
Yihui Feng, Xianming Liu, Yongbing Zhang, Qionghai Dai: Single depth image super-resolution and denoising based on sparse graphs via structure tensor. ICIP 2017: 4063-4067
Wei Sun, Guangtao Zhai, Xiongkuo Min, Yutao Liu, Siwei Ma, Jing Liu, Jiantao Zhou, Xianming Liu: Dynamic backlight scaling considering ambient luminance for mobile energy saving. ICME 2017: 25-30
Wenbo Zhao, Xianming Liu, Shiqi Wang, Debin Zhao: Multi-scale Similarity Enhanced Guided Normal Filtering. PCM 2017: 645-653
Xianming Liu, Deming Zhai, Jiantao Zhou, Xinfeng Zhang, Debin Zhao, Wen Gao, ``Compressive Sampling based Image Coding for Resource-Deficient Visual Communication,” IEEE Transactions on Image Processing, Vol. 25 , No. 6, pp. 2844-2855，June 2016 (Regular paper).
Xianming Liu, Xiaolin Wu, Jiantao Zhou, Debin Zhao, ``Data-driven Soft Decoding of Compressed Images in Dual Transform-Pixel Domain,” IEEE Transactions on Image Processing, Vol. 25 , No. 4, pp. 1649-1659，April 2016 (Regular paper).
Xianming Liu, Debin Zhao, Jiantao Zhou, Wen Gao and Huifang Sun, "Image Interpolation via Graph-based Bayesian Label Propagation, IEEE Transactions on Image Processing, Vol. 23, No. 3, pp. 1084-1096, March 2014 (Regular paper).
Xianming Liu, Deming Zhai, Debin Zhao, Guangtao Zhai, Wen Gao, " Progressive Image Denoising through Hybrid Graph Laplacian Regularization: A Unified Framework," IEEE Transactions on Image Processing, Vol. 23, No. 4, pp. 1491-1503, April 2014 (Regular paper).
Xianming Liu, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao and Huifang Sun, ``Image Interpolation via Regularized Local Linear Regression, IEEE Transactions on Image Processing, Vol. 20, No. 12, pp. 3455-3469, Dec. 2011 (Regular paper).
Xianming Liu, Xiaolin Wu, Jiantao Zhou, Debin Zhao, ``Data-driven Sparsity-based Restoration of JPEG-compressed Images in Dual Transform-Pixel Domain,” CVPR 2015: 5171-5178
Xianming Liu, Xinwei Gao, Debin Zhao, Jiantao Zhou, Guangtao Zhai, Wen Gao, "Model-based Low Bit-rate Video Coding for Resource-deficient Wireless Visual Communication," Neurocomputing, Vol. 162, pp. 180-190, 2015.
Xianming Liu, Xiaolin Wu, Debin Zhao, ``Multiple Description Image Coding using Local Random Measurements, in Proceedings of IEEE Data Compression Conference, DCC2014, Snowbird, Utah, USA, Mar.26-28, 2014 (Full paper, Top Conference in Data Compression). ·
Xianming Liu, Deming Zhai, Debin Zhao, Wen Gao, ``Image Super-Resolution via Hierarchical and Collaborative Sparse Representation, in Proceedings of IEEE Data Compression Conference, DCC2013, Snowbird, Utah, USA, Mar.20-22, 2013 (Full paper, Top Conference in Data Compression, nominated as ``best student paper candidate). ·
Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Ruiqin Xiong, Wen Gao, ``Multi-scale Spatial Error Concealment via Hybrid Bayesian Regression, in Proceedings of IEEE Data Compression Conference, DCC2012, Snowbird, Utah, USA, Apr.12-15, 2012 (Full paper, Top Conference in Data Compression). ·
Xianming Liu, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao and Huifang Sun, ``Transductive Regression with Local and Global Consistency for Image Super-Resolution, in Proceedings of IEEE Data Compression Conference, DCC2011, Snowbird, Utah, USA, Mar.29-31, 2011 (Full paper, Top Conference in Data Compression).
Xinfeng Zhang, Weisi Lin, Ruiqin Xiong, Xianming Liu, Siwei Ma and Wen Gao,"Low-Rank Decomposition Based Restoration of Compressed Images via Adaptive Noise Esitmation," IEEE Transactions on Image Processing, Vol. 25, No. 9, pp. 4158-4171, Sept. 2016 (Regular paper).
Jiantao Zhou, Xianming Liu, O. C. Au, and Y. Y. Tang, “Designing an Efficient Image Encryption-then-Compression System via Prediction Error Clustering and Random Permutation,” IEEE Transactions on Information Forensics and Security, Vol. 9, No. 2, pp. 39-50, 2014 (Regular paper).
Jiantao Zhou, O. C. Au, Guangtao Zhai, Y. Y. Tang, Xianming Liu, “ Scalable Compression of Stream Cipher Encrypted Images through Context-Adaptive Sampling,” IEEE Transactions on Information Forensics and Security, Vol. 9, No. 11, pp. 1857-1868, 2014 (Regular paper).
Yuanman Li, Jiantao Zhou, An Cheng, Xianming Liu, Yuan Y. Tang, “SIFT Keypoint Removal and Injection via Convex Relaxation”, IEEE Transactions on Information Forensics and Security, Vol. 11, No. 8, pp. 1722 -1735, Aug. 2016 (Regular paper).
Jiantao Zhou, Weiwei Sun, Li Dong, Xianming Liu, O. C. Au, Y. Y. Tang, “Secure Reversible Image Data Hiding over Encrypted Domain via Key Modulation,” IEEE Transactions on Circuit and Systems for Video Technology, Vol. 26, No. 3, pp. 441-452, March 2016 (Regular paper). ·
Shiqi Wang, Ke Gu, Siwei Ma, Weisi Lin, Xianming Liu, Wen Gao, “Guided Image Contrast Enhancement Based on Retrieved Images in Cloud,” IEEE Transactions on Multimedia, Vol. 18, No. 2, pp. 219-232, Feb. 2016 (Regular paper).
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