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Prof. Xudong Jiang , IEEE Fellow

School of Electrical and Electronic Engineering, Nanyang Technological University

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Recent Top Conference Papers­­­

[1]     Q. Zheng, B. Shi, J. Chen, X. Jiang, L. Duan, A. Kot, “Single Image Reflection Removal with Absorption Effect,” IEEE Conference on Computer Vision and Pattern Recognition, (CVPR21), Jun 2021.

[2]     Y. Hong, Q. Zheng, L. Zhao, X. Jiang, A. Kot, B. Shi, “Panoramic Image Reflection Removal,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR21), Jun 2021.

[3]     Q. Zheng, J. Chen, Z. Lu, B. Shi, X. Jiang, K. Yap, L. Duan, A. Kot, “What does Plate Glass Reveal about Camera Calibration?,” IEEE Conference on Computer Vision and Pattern Recognition, (CVPR’20), Jun 2020.

[4]     H. Ding, S. Cohen, B. Price, X. Jiang, “PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click,” European Conference on Computer Vision (ECCV’20 Spotlights), Aug 2020.

[5]     J. Weng, D. Luo, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang, X. Jiang, J. Yuan, “Temporal Distinct Representation Learning for Action Recognition,” European Conference on Computer Vision (ECCV’20), Aug 2020.

[6]     H. Ding, X. Jiang, B. Shuai, A. Liu, G. Wang, “Semantic Correlation Promoted Shape-Variant Context for Segmentation,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 8885-8894, (CVPR’19 Oral) Jun 2019.

[7]     H. Ding, X. Jiang, A. Liu, N. Thalmann, G. Wang, “Boundary-Aware Feature Propagation for Scene Segmentation,” International Conference on Computer Vision, (ICCV’19), pp. 6819- 6829, Oct 2019.

[8]     Q. Zheng, Y. Jia, B. Shi, X. Jiang, L. Duan, A. Kot,SPLINE-Net: Sparse Photometric Stereo through Lighting Interpolation and Normal Estimation Networks International Conference on Computer Vision, (ICCV’19), pp. 8549-8558, Oct 2019.

[9]     J. Weng, M. Liu, X. Jiang, J. Yuan, “Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition,” Europe Conference on Computer Vision (ECCV’18), Sep 2018

[10] H. Ding, X. Jiang, B. Shuai, A. Liu, G. Wang, “Context contrasted feature and gated multi-scale aggregation for scene segmentation,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 2393-2402 (CVPR’18 Oral), Jun 2018.

 

Re­­­presentative Journal Articles

[1]     X. Wang, X. Jiang, H. Ding, Y. Zhao, J. Liu, Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition, Pattern Recognition, Online Published,  https://doi.org/10.1016/j.patcog.2021.108075, 2021.

[2]     H. Zhang, M. Gu, X. Jiang, et al, “An Optical Neural Chip for Implementing Complex-valued Neural Network,” Nature Communications, 12, 457, 2021.

[3]     V. Mishuhina, X. Jiang, “Complex Common Spatial Patterns on Time-Frequency Decomposed EEG for Brain-Computer Interface, Pattern Recognition, vol. 115, 107918, Jul 2021.

[4]     H. Zhang, J. Thompson, M. Gu, X. Jiang, et al, “Efficient On-Chip Training of Optical Neural Networks Using Genetic Algorithm,” ACS Photonics, Online Published, https://doi.org/10.1021/acsphotonics.1c000352021.

[5]     K. Lim, X. Jiang, “Posterior Approximation using Stochastic Gradient Ascent with Adaptive Step Size,” Pattern Recognition, vol. 112, 107783, Apr 2021.

[6]     S. Luo, …, X. Jiang and A. Liu, “Rare bioparticle detection via deep metric learning,” RSC Advances, 11, 17603-17610, DOI: 10.1039/D1RA02869C, 2021.

[7]     J. Ren, X. Jiang, A Three-Step Classification Framework to Handle Complex Data Distribution for Radar UAV Detection,” Pattern Recognition, vol. 111, 107709, Mar 2021.

[8]     S. Luo, et al, “Deep Learning‐Enabled Imaging Flow Cytometry for High‐Speed Cryptosporidium and Giardia Detection,” Cytometry Part A, doi.org/10.1002/cyto.a.24321, 2021.

[9]     J. Weng, X. Jiang, W. Zheng, J. Yuan “Early Action Recognition with Category Exclusion Using Policy-based Reinforcement Learning,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 12, pp. 4626 - 4638, Dec 2020.

[10] H. Ding, X. Jiang, B. Shuai, A. Liu, G. Wang, Semantic Segmentation with Context Encoding and Multi-Path Decoding,” IEEE Transactions on Image Processing, vol. 29, pp. 3520 - 3533, 2020.

[11] J. Liu, H. Ding, A. Shahroudy, L. Duan, X. Jiang, G. Wang, A. Kot, "Feature Boosting Network For 3D Pose Estimation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 2, pp. 494-501, Feb 2020.

[12] X. Wang, X. Jiang, H. Ding, J. Liu, “Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation,IEEE Transactions on Image Processing, vol. 29, pp. 3039 - 3051, 2020.

[13] B. Lei, Z. Xia, F. Jiang, X. Jiang, Z. Ge, Y. Xu, J. Qin, S. Chen, T. Wang, S. Wang, “Skin Lesion Segmentation via Generative Adversarial Networks with Dual Discriminators,” Medical Image Analysis, Vol. 64, Aug 2020.

[14] K. Lim, X. Jiang, C. Yi, “Deep Clustering with Variational Autoencoder,” IEEE Signal Processing Letters, vol. 27, pp. 231-235, 2020.

[15] S. Luo, et al, “Machine Learning-Based Pipeline for High Accuracy Bioparticle Sizing,” Micromachines, vol. 11, 1084, 2020.

[16] Z. Yu, X. Jiang, F. Zhou, J. Qin, D. Ni, S. Chen, B. Lei, T. Wang, “Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features,” IEEE Transactions on Biomedical Engineering, vol. 66, no. 4, pp. 1006-1016, Apr 2019.

[17] B. Shuai, H. Ding, T. Liu, G. Wang, X. Jiang “Towards Achieving Robust Low-level and High-level Scene Parsing,” IEEE Transactions on Image Processing, vol. 28, no. 3, pp. 1378-1390, Mar 2019.

[18] X. Wang, X. Jiang, Retinal Vessel Segmentation by a Divide-and-conquer Funnel-structured Classification Framework,Signal Processing, vol. 165, pp. 104-114, Dec 2019.

[19] J. Mei, X. Jiang, J. Cai, Learning Local Feature Representation from Matching, Clustering and Spatial Transform,” Journal of Visual Communication and Image Representation, vol. 63, 102601, Aug 2019.

[20] X. Wang, X. Jiang, J. Ren,Blood Vessel Segmentation from Fundus Image by a Cascade Classification Framework,Pattern Recognition, vol. 88, pp. 331-341, Apr 2019.

[21] J. Mei, Z. Wu, X Chen, Y Qiao, H. Ding, X. Jiang, "DeepDeblur: Text Image Recovery from Blur to Sharp," Multimedia Tools And Applications, Vol. 78, no. 13, pp. 18869-18885, Jul 2019.

[22] S. Maadeed, X. Jiang, I. Rida, A. Bouridane, “Palmprint identification using sparse and dense hybrid representation,” Multimedia Tools and Applications, Vol. 78, no. 5, pp. 5665-5679, Mar 2019.

[23] Z. Lu, X. Jiang and A. Kot, “Color Space Construction by Optimizing Luminance and Chrominance Components for Face Recognition,Pattern Recognition, vol. 83, pp. 456-468, Nov 2018.

[24] V. Mishuhina and X. Jiang, “Feature Weighting and Regularization of Common Spatial Patterns in EEG-based Motor Imagery BCI,” IEEE Signal Processing Letters, vol. 25, no. 6, pp. 783-787, Jun 2018.

[25] Z. Lu, X. Jiang and A. Kot,Deep Coupled ResNet for Low-Resolution Face Recognition,” IEEE Signal Processing letters, vol. 25, no. 4, pp. 526530, Apr 2018.

[26] R. Huang and X. Jiang, “Off-Feature Information Incorporated Metric Learning for Face Recognition,” IEEE Signal Processing letters, vol. 25, no. 4, pp. 541545, Apr 2018.

[27] Z. Lu, X. Jiang and A. Kot, Feature Fusion with Covariance Matrix Regularization in Face Recognition,” Signal Processing, vol. 144, pp. 296305, Mar 2018.

[28] J. Ren, X. Jiang, J. Yuan and N. Thalmann, “Sound-Event Classification Using Robust Texture Features for Robot Hearing,” IEEE Transactions on Multimedia, vol. 19, no. 3, pp 447 458, Mar 2017.

[29] Y. Song, E. Tan, X. Jiang, J. Cheng, D. Ni, S. Chen, B. Lei, T. Wang, “Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images,” IEEE Transactions on Medical Imaging, vol. 36, no. 1, pp. 288 – 300, Jan 2017.

[30] J. Ren and X. Jiang, Regularized 2-D Complex-Log Spectral Analysis and Subspace Reliability Analysis of Micro-Doppler Signature for UAV Detection,Pattern Recognition, vol. 69, pp. 225–237, Sep 2017.

[31] J. Ren, X. Jiang and J. Yuan, “LBP-Structure Optimization with Symmetry and Uniformity Regularizations for Scene Classification,” IEEE Signal Processing letters, vol. 24, no. 1, pp. 37 - 41, Jan 2017.

[32] B. Lei, W. Li, Y. Yao, X. Jiang, E. Tan, J. Qin, S. Chen, D. Ni and T. Wang, “Multi-modal and Multi-layout Discriminative Learning for Placental Maturity Staging,” Pattern Recognition, vol. 63, pp. 719–730, March 2017.

[33] C. Weng, H. Wang, J. Yuan and X. Jiang, “Discovering Class-Specific Spatial Layouts for Scene Recognition,” IEEE Signal Processing letters, vol. 24, no.8, pp. 1143 – 1147, Aug. 2017.

[34] J. Lai and X. Jiang, “Class-wise Sparse and Collaborative Patch Representation for Face Recognition,” IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3261 - 3272, July 2016. © Codes © Data ©  

[35] Z. Miao, X. Jiang and K. Yap, “Contrast Invariant Interest Point Detection by Zero-Norm LoG Filter,” IEEE Transactions on Image Processing, vol. 25, no. 1, pp. 331 - 342, Jan. 2016.

[36] I. Rida, X. Jiang and G. Marcialis, "Human Body Part Selection by Group Lasso of Motion for Model-Free Gait Recognition," IEEE Signal Processing letters, vol. 23, no. 1, pp. 154 - 158, Jan. 2016.

[37] X. Jiang and J. Lai, “Sparse And Dense Hybrid Representation via Dictionary Decomposition for Face Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 5, pp. 1067-1079, May, 2015. © Codes ©

[38] J. Ren, X. Jiang and J. Yuan, "LBP Encoding Schemes Jointly Utilizing the Information of Current Bit and Other LBP Bits," IEEE Signal Processing letters, vol. 22, no. 12, pp. 2373 - 2377, Dec. 2015.

[39] J. Ren, X. Jiang and J. Yuan, “A Chi-Squared-Transformed Subspace of LBP Histogram for Visual Recognition,” IEEE Transactions on Image Processing, vol. 24, no. 6, pp. 1893-1904, June, 2015.

[40] Z. Lu, X. Jiang and A. Kot, “A Color Channel Fusion Approach for Face Recognition,” IEEE Signal Processing letters, vol. 22, no. 11, pp. 1839 - 1843, Nov. 2015.

[41] J. Ren, X. Jiang and J. Yuan, “Learning LBP Structure by Maximizing the Conditional Mutual Information,” Pattern Recognition, vol. 48, no. 10, pp. 3180 - 3190, Oct. 2015.

[42] J. Ren, X. Jiang, J. Yuan and W. Gang, "Optimizing LBP Structure for Visual Recognition Using Binary Quadratic Programming," IEEE Signal Processing letters, vol. 21, no. 11, pp. 1346-1350, Nov. 2014.

[43] A. Satpathy, X. Jiang and H. Eng, “LBP Based Edge-Texture Features for Object Recognition,” IEEE Transactions on Image Processing, vol. 23, no. 5, pp. 1953-1964, May, 2014. © Codes ©

[44] Z. Miao and X. Jiang, “Additive And Exclusive Noise Suppression by Iterative Trimmed And Truncated Mean Algorithm,” Signal Processing, vol. 99, pp. 147-158, June, 2014. © Codes ©

[45] A. Satpathy, X. Jiang and H. Eng, “Human Detection by Quadratic Classification on Subspace of Extended Histogram of Gradients,” IEEE Transactions on Image Processing, vol. 23, no. 1, pp. 287-297, January, 2014. © Codes(Matlab) © © Codes(C++) ©

[46] Z. Miao and X. Jiang, “Interest Point Detection Using Rank Order LoG Filter,” Pattern Recognition, vol. 46, no. 11, pp. 2890-2901, November 2013.

[47] J. Ren, X. Jiang and J. Yuan, “Noise-Resistant Local Binary Pattern with an Embedded Error-Correction Mechanism,IEEE Transactions on Image Processing, vol. 22, no. 10, pp. 4049-4060, October, 2013.

[48] F. Ou, N. Rao, X. Jiang, M. Qian, W. Feng, L. Yin, X. Chen, “Analysis on Differential Gene Expression Data for Prediction of New Biological Features in Permanent Atrial Fibrillation,” PLoS ONE, vol. 8, no. 10, pp. 1-8, e76166, doi:10.1371/journal.pone.0076166, Oct. 2013.

[49] Z. Miao and X. Jiang, “Weighted Iterative Truncated Mean Filter,” IEEE Transactions on Signal Processing, Vol. 61, no. 16, pp. 4149-4160, August, 2013. © Codes ©

[50] C. Geng and X. Jiang, “Fully Automatic Face Recognition Framework based on Local and Global Features,” Machine Vision and Applications, vol. 24, no. 3, pp. 537-549, April 2013.

[51] J. Ren, X. Jiang and J. Yuan, “A Complete and Fully Automated Face Verification System on Mobile Devices,Pattern Recognition, vol. 46, no. 1, pp. 45-56 January 2013.

[52] Z. Miao and X. Jiang, “Further Properties and a Fast Realization of the Iterative Truncated Arithmetic Mean Filter IEEE Transactions on Circuits and Systems-II, vol. 59, no. 11, pp. 810-814, November 2012. © Codes ©

[53] J. Lai and X. Jiang, “Modular Weighted Global Sparse Representation for Robust Face Recognition,” IEEE Signal Processing letters, vol. 19, no. 9, pp. 571-574, September 2012.

[54] X. Jiang, "Iterative Truncated Arithmetic Mean Filter And Its Properties," IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1537-1547, April 2012. © Codes ©

[55] H. Yang, A. Kot and X. Jiang, “Binarization of Low-Quality Barcode Images Captured by Mobile Phones Using Local Window of Adaptive Location and Size,” IEEE Transactions on Image Processing, vol. 21, no. 1, pp. 418-425, January 2012.

[56] X. Jiang, "Linear Subspace Learning-Based Dimensionality Reduction," IEEE Signal Processing Magazine, vol. 28, no. 2, pp. 16-26, March 2011.

[57] C. Geng and X. Jiang, “Face Recognition Based on the Multi-scale Local Image Structures,” Pattern Recognition, vol. 44, no. 10-11, pp. 2565-2575, October-November 2011.

[58] C. Wee, R. Paramesran, R. Mukundan and X. Jiang, "Image Quality Assessment by Discrete Orthogonal Moments," Pattern Recognition, vol. 43, no. 12, pp. 4055-4068, December 2010.

[59] P. Yap, X. Jiang and A. Kot, "Two Dimensional Polar Harmonic Transforms for Invariant Image Representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 7, pp. 1259-1270, July 2010. © Codes ©

[60] B. Mandal, X.D Jiang, H. Eng and A. Kot, "Prediction of Eigenvalues and Regularization of Eigenfeatures for Human Face Verification," Pattern Recognition Letters, vol. 31, no. 8, pp. 717-724, June 2010.

[61] X. Jiang, "Asymmetric Principal Component and Discriminant Analyses for Pattern Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 5, pp. 931-937, May 2009.

[62] M. Liu, X. Jiang and A. Kot, A Multi-Prototype Clustering Algorithm, Pattern Recognition, vol. 42, no. 5, pp. 689-698, May 2009.

[63] N. Sudha, N. Puhan, X. Hua and X. Jiang, Iris Recognition on Edge Maps, IET Computer Vision, vol. 3, no. 1, pp. 1-7, March 2009.

[64] X. Jiang, B. Mandal and A. Kot, Complete Discriminant Evaluation and Feature Extraction in Kernel Space for Face Recognition, Machine Vision and Applications, vol. 20, no. 1, pp. 35-46, January 2009.

[65] X. Jiang, B. Mandal and A. Kot, Eigenfeature Regularization and Extraction in Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 3, pp. 383-394, March 2008.

[66] M. Liu, X. Jiang and A. Kot, Efficient Fingerprint Search Based on Database Clustering, Pattern Recognition, vol. 40, no. 6, pp. 1793-1803, June 2007.

[67] X. Jiang, Extracting Image Orientation Feature by Using Integration Operator, Pattern Recognition, vol. 40, no. 2, pp. 705-717, February 2007.

[68] X. Jiang, M. Liu and A. Kot, Fingerprint Retrieval for Identification, IEEE Transactions on Information Forensics and Security, vol. 1, no. 4, pp. 532-542, December 2006.

[69] X. Jiang, B. Mandal and A. Kot, Enhanced Maximum Likelihood Face Recognition, Electronics Letters, vol. 42, no. 19, pp. 1089-1090, September 2006.

[70] X. Jiang, On Orientation and Anisotropy Estimation for Online Fingerprint Authentication, IEEE Transactions on Signal Processing, vol. 53, no. 10, pp. 4038- 4049, October 2005.

[71] W. Xiong, K.Toh, W. Yau and X. Jiang, Model-Guided Deformable Hand Shape Recognition Without Positioning Aids, Pattern Recognition, vol. 38, no. 10, pp. 1651-1664, October 2005.

[72] M. Liu, X. Jiang and A. Kot, Fingerprint Reference Point Detection, EURASIP Journal on Applied Signal Processing, vol. 2005, no. 4, pp. 498-509, April 2005.

[73] K. Toh, X. Jiang and W. Yau, Exploiting Global and Local Decisions for Multi-Modal Biometrics Verification, IEEE Transactions on Signal processing, vol. 52, no. 10, pp. 3059-3072, October 2004.

[74] K. Toh, W. Yau and X. Jiang, A Reduced Multivariate Polynomial Model for Multimodal Biometrics And Classifiers Fusion, IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 2, pp. 224-233, February 2004.

[75] X. Jiang, Image Detail-preserving Filter for Impulsive Noise Attenuation, IEE Proceedings: Vision, Image and Signal Processing, vol. 150, no. 3, pp. 179-185, June 2003.

[76] X. Jiang and A. Kam, Constructing and Training Feed-Forward Neural Networks for Pattern Classification, Pattern Recognition, vol. 36, no. 4, pp. 853-867, April 2003.

[77] X. Jiang and W. Ser, Online Fingerprint Template Improvement, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 8, pp. 1121-1126, August 2002.

[78] X. Jiang, W. Yau and W. Ser, Detecting the Fingerprint Minutiae by Adaptive Tracing the Gray Level Ridge Pattern Recognition, vol. 34, no. 5, pp. 999-1013, May 2001.

 

Current Research Areas:

·       Statistical Pattern Recognition

·       Computer Vision

·       Machine Learning

·       Image and Signal analysis

·       Face Recognition and Biometrics

 

Service:

·      Elected voting TC member: IEEE Signal Processing Society Information Forensic and Security Technical Committee

·      Senior Area Editor for IEEE Transactions on Image Processing, IEEE, USA

·      Associate Editor for IEEE Transactions on Image Processing, IEEE, USA

·      Associate Editor for IEEE Signal Processing Letter, IEEE, USA

·      Editor-in-Chief for IET Biometrics, IET, UK

 

Positions are available at the ROSE Lab:  http://rose.ntu.edu.sg/about%20us/Pages/Join-Us.aspx

Students and visitors interested in the above areas please contact me at

email: exdjiang@ntu.edu.sg ; xudongjiang@ieee.org

Phone: (65) 6790 5018

Fax: (65) 6793 3318

Office and postal address: S1-B1c-105, EEE, NTU, 50 Nanyang Avenue, Singapore 639798

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