­­

Prof. Xudong Jiang , IEEE Fellow

School of Electrical and Electronic Engineering, Nanyang Technological University

Recent Top Conference Papers­­­

[1]     S. Xia, W. Yang, Y. Yu, X. Lin, H. Ding, L. Duan, X. Jiang, “Transferable Adversarial Attacks on SAM and Its Downstream Models via Universal Meta Initialization and Gradient Robust Attacks,” Advances in Neural Information Processing Systems (NeurIPS), 2024.

[2]     J. Hoe, X Jiang, C. Chan, Y. Tan, W. Hu, “InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[3]     Z. Li, Z. Lu, H. Yan, B. Shi, G. Pan, Q. Zheng, X. Jiang, “Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[4]     Z. Li, M. Hu, Q. Zheng, X. Jiang, “Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation,” European Conference on Computer Vision (ECCV), 2024.

[5]     S. He, H. Ding, X. Jiang, B. Wen, “SegPoint: Segment Any Point Cloud via Large Language Model,” European Conference on Computer Vision (ECCV), 2024.

[6]     S. Xia, Y. Yu, X. Jiang, H. Ding, “Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing,” International Conference on Learning Representations (ICLR), 2024.

[7]     Z. Lu, Q. Zheng, B. Shi, X. Jiang, “Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images,” AAAI Conference on Artificial Intelligence  (AAAI), 2024.

[8]     H. Du, G. Nan, …, X. Jiang, “DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding,” AAAI Conference on Artificial Intelligence  (AAAI), 2024.

[9]     C. Li, Y. He, J. Ren, R. Bai, Y. Zhao, H. Yu, X. Jiang, “Regression Residual Reasoning with Pseudo-labeled Contrastive Learning for Uncovering Multiple Complex Compositional Relations,” International Joint Conference on Artificial Intelligence (IJCAI), 2024.

[10] Z. Qiao, Q. Pham, C. Zhen, H. Le, P. Suganthan, X. Jiang, S. Ramasamy, “Class-incremental Learning for Time Series: Benchmark and Evaluation,” ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (KDD), 2024.

[11] W. He, J. Ren, R. Bai, X. Jiang, “Hierarchical Perceptual and Predictive Analogy-Inference Network for Abstract Visual Reasoning,”ACM Multimedia, 2024.

[12] J. Zhang, X. Wang, C. Yao, J. Ren, X. Jiang, “Visual-linguistic Cross-domain Feature Learning with Group Attention and Gamma-correct Gated Fusion for Extracting Common Sense Knowledge,”ACM Multimedia, 2024.

[13] Z. Chen, Z. Lu, D. Ma, H. Tang, X. Jiang, Q. Zheng, G. Pan, “Event-ID: Intrinsic Decomposition Using an Event Camera,” ACM Multimedia, 2024.

[14] H. Ding, C. Liu, S. He, X. Jiang, C. Loy, “MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions,” International Conference on Computer Vision (ICCV), 2023.

[15] H. Ding, C. Liu, S. He, X. Jiang, P. Torr, S. Bai, “MOSE: A New Dataset for Video Object Segmentation in Complex Scenes,” International Conference on Computer Vision (ICCV), 2023.

[16] C. Liu, H. Ding, X. Jiang, “GRES: Generalized Referring Expression Segmentation,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR Highlight, Acceptance Rate 2.6%), 2023.

[17] Z. Li, Q. Zheng, B. Shi, G. Pan, X. Jiang, “DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

[18] W. He, J. Zhang, J. Ren, R. Bai, X. Jiang, “Hierarchical ConViT with Attention-based Relational Reasoner for Visual Analogical Reasoning,” AAAI Conference on Artificial Intelligence, 37(1), 22-30. (AAAI), 2023.

[19] H. Ding, C. Liu, S. Wang, X. Jiang, “Vision-Language Transformer and Query Generation for Referring Segmentation,” International Conference on Computer Vision (ICCV), 2021.

[20] H. Ding,  H. Zhang, J. Liu, J. Li, Z. Feng, X. Jiang, “Interaction via Bi-directional Graph of Semantic Region Affinity for Scene Parsing,” International Conference on Computer Vision (ICCV), 2021.

[21] 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, (CVPR), 2021.

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

[23] 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), 2020.

[24] H. Ding, S. Cohen, B. Price, X. Jiang, “PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click,” European Conference on Computer Vision (ECCV Spotlights, Acceptance Rate 5.3%), 2020.

[25] 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), 2020.

[26] 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 Oral, Acceptance Rate 5.6%) 2019.

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

[28] 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), pp. 8549-8558, 2019.

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

[30] 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 Oral, Acceptance Rate 2.1%), 2018.

[31] Z. Zuo, G. Wang, B. Shuai, L. Zhao, Q. Yang, X. Jiang, “Learning Discriminative and Shareable Features for Scene Classification,” European Conference on Computer Vision, (ECCV), 2014.

Re­­­presentative Journal Articles

[1]     J. Wu, X. Li, S. Yuan, H. Xu, H. Ding, Y. Yang, X. Li, J. Zhang, Y. Tong, X. Jiang, B. Ghanem, D. Tao,  “Towards Open Vocabulary Learning: A Survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 7, 5092 –5113, DOI: 10.1109/TPAMI.2024.3361862, 2024.

[2]     K. Jiang, Z. Jiang, X. Jiang, Y. Xie, W. Gui, “Reinforcement Learning for Blast Furnace Ironmaking Operation with Safety and Partial Observation Considerations,” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 3, 3077-3090, DOI: 10.1109/TNNLS.2023.3340741, 2024.

[3]     L. Liu, X. Jiang, M. Saerbeck, J. Dauwels, “EAD-GAN: A Generative Adversarial Network for Disentangling Affine Transforms in Images,” IEEE Transactions on Neural Networks and Learning Systems,  vol. 35, no. 3, 3652–3662, DOI: 10.1109/TNNLS.2022.3195533, 2024.

[4]     S. He, H. Luo, W. Jiang, X. Jiang, H. Ding, "VGSG: Vision-Guided Semantic-Group Network for Text-Based Person Search," IEEE Transactions on Image Processing, vol. 33, 163-176, DOI: 10.1109/TIP.2023.3337653, 2024.

[5]     H. Jiang, N. Bhujel, Z. Lin, K. Wan, J. Li, J. Senthilnath, X. Jiang, "Learning Relation in Crowd using Gated Graph Convolutional Networks for DRL-based Robot Navigation" IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 6,5085 –5095, DOI: 10.1109/TITS.2023.3343923, 2024.

[6]     Z. Zha, B. Wen, X. Yuan, J. Zhang, J. Zhou, X. Jiang, C. Zhu, “Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction,” IEEE Transactions on Cybernetics, vol. 54, no. 5, 3338–3351, DOI: 10.1109/TCYB.2023.3251730, 2024.

[7]     H. Shen, H. Ding, Y. Zhang, X. Cong, Z. Zhao, X. Jiang, “Spatial-Frequency Adaptive Remote Sensing Image Dehazing with Mixture of Experts,” IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2024.3458986, 2024.

[8]     J. Ji, Z. Shu, W. Wang, H Li, K. Lai, Y. Zheng, X. Jiang, “Noise Separation and Discriminative Feature Learning for Partial Discharge Recognition,” IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2024.3413307, 2024.

[9]     J. Ji, Z. Shu, H. Li, K. Lai, M. Lu, G. Jiang, W. Wang, Y. Zheng, X. Jiang, “Edge-computing based Knowledge Distillation and Multi-task Learning for Partial Discharge Recognition,”  IEEE Transactions on Instrumentation and Measurement, vol. 73, 5008011, DOI: 10.1109/TIM.2024.3351239, 2024.

[10] Y. Zhan, H. Zhang, H. Lin, L. Chin, H. Cai, M. Karim, D. Poenar, X. Jiang, M. Mak, L. Kwek, A. Liu, "Physics-Aware Analytic-Gradient Training of Photonic Neural Networks," Laser and Photonics Reviews, vol. 18, no. 4, DOI: 10.1002/lpor.202300445, 2024.

[11] S. Wang, J. Ren, R. Bai, Y. Yao, X. Jiang, “A Max-Relevance-Min-Divergence criterion for data discretization with applications on naive Bayes,” Pattern Recognition, vol. 149, 110236, DOI: 10.1016/j.patcog.2023.110236, 2024.

[12] Z. Lin, X. Jiang, Z. Zheng, “A coarse-to-fine pattern parser for mitigating the issue of drastic imbalance in pixel distribution,” Pattern Recognition, vol. 148, 110143, DOI: 10.1016/j.patcog.2023.110143, 2024.

[13] C. Yao, J. Ren, R. Bai, H. Du, J. Liu, X. Jiang, “Progressively-orthogonally-mapped EfficientNet for action recognition on time-range-Doppler signature,” Expert Systems with Applications, vol. 255, Part D, 124824, DOI: 10.1016/j.eswa.2024.124824, 2024.

[14] C. Liu, X. Jiang, H. Ding “PrimitiveNet: decomposing the global constraints for referring segmentation,” Visual Intelligence, vol. 2, 16, DOI: 10.1007/s44267-024-00049-8, 2024.

[15] Y. Hu, Q. Zheng, X. Jiang, G. Pan, “Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 12, 14546 -14562  DOI: 10.1109/TPAMI.2023.3275769, 2023.

[16] Y. Hong, Q. Zheng, L. Zhao, X. Jiang, A. Kot, B. Shi, “PAR² Net: End-to-end Panoramic Image Reflection Removal,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 10, 12192–12205, DOI: 10.1109/TPAMI.2023.3286429, 2023.

[17] H. Ding, C. Liu, S. Wang, X. Jiang, “VLT: Vision-Language Transformer and Query Generation for Referring Segmentation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45. no. 6, 7900–7916,  DOI: 10.1109/TPAMI.2022.3217852, Jun. 2023.

[18] S. He, X. Jiang, W. Jiang, H. Ding, “Prototype Adaption and Projection for Few-and Zero-shot 3D Point Cloud Semantic Segmentation,” IEEE Transactions on Image Processing, vol. 32, 3199-3211,  DOI: 10.1109/TIP.2023.3279660, 2023.

[19] C. Liu, H. Ding, Y. Zhang, X. Jiang, “Multi-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation,” IEEE Transactions on Image Processing, vol. 32, 3054 –3065, DOI: 10.1109/TIP.2023.3277791, 2023.

[20] J. Zhang, J. Ren, Q. Zhang, J. Liu, X. Jiang, “Spatial Context-aware Object-attentional Network for Multilabel Image Classification,” IEEE Transactions on Image Processing, vol. 32, 3000-3012, DOI: 10.1109/TIP.2023.3266161, 2023.

[21] C. Liu, X. Jiang, H. Ding “Instance-Specific Feature Propagation for Referring Segmentation,” IEEE Transactions on Multimedia, vol. 25, 3657–3667, DOI: 10.1109/TMM.2022.3163578, 2023.

[22] J. Wang, C. Zhou, S. Chen, J. Hu, M. Wu, X. Jiang, C. Xu, D. Qian, “Chromosome Detection in Metaphase Cell Images Using Morphological Priors,” IEEE Journal of Biomedical and Health Informatics, vol. 27. no. 9, 4579 – 4590, DOI: 10.1109/JBHI.2023.3286572, 2023.

[23] C. Yao, J. Ren, R. Bai, H. Du, J. Liu, X. Jiang, “Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals,” IEEE Transactions on Information Forensics and Security, vol 18, 4313–4328,  DOI: 10.1109/TIFS.2023.3293949, 2023.

[24] Y. Duan, J. Ren, H. Yu, X. Jiang, “GAN-in-GAN for Monaural Speech Enhancement,” IEEE Signal Processing Letters, vol. 30, 853–857, DOI: 10.1109/LSP.2023.3293758, 2023.

[25] H. Ding,  H. Zhang, X. Jiang, “Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation,” Pattern Recognition, vol. 133, 109018, DOI: 10.1016/j.patcog.2022.109018, 2023.

[26] Y. Tang, F. Duan, A. Zhou, P. Kanitthamniyom, S. Luo, X. Hu, X. Jiang, S. Vasoo, X. Zhang, Y. Zhang, “Image‐based real‐time feedback control of magnetic digital microfluidics by artificial intelligence‐empowered rapid object detector for automated in vitro diagnostics,” Bioengineering & Translational Medicine, vol. 8, no. 4, e10428, DOI: 10.1002/btm2.10428, 2023.

[27] H. Li, X. Jiang, B. Guan, R. Wang, N. Thalmann, “Multi-Stage Spatio-Temporal Networks for Robust Sketch Recognition,” IEEE Transactions on Image Processing, vol 31, 2683–2694, DOI 10.1109/TIP.2022.3160240, 2022.

[28] H. Zhu, J. Zou, H. Zhang, Y. Shi, S. Luo, N. Wang, H. Cai, L. Wan, B. Wang, X. Jiang, J. Thompson, X. Luo, X. Zhou, L. Xiao, W. Huang, P. Lo, M. Gu, L. Kwek, A. Liu, “Space-Efficient Optical Computing With An Integrated Chip Diffractive Neural Network,” Nature Communications, 13, 1044, DOI: 10.1038/s41467-022-28702-0, 2022.

[29] H. Ding, H. Zhang, C. Liu, X. Jiang, “Deep Interactive Image Matting with Feature Propagation,” IEEE Transactions on Image Processing, vol 31, 2421–2432, DOI: 10.1109/TIP.2022.3155958, 2022.

[30] J. Mei, X. Jiang, H. Ding, “Spatial Feature Mapping for 6DoF Object Pose Estimation,” Pattern Recognition, vol 131, 108835, DOI: 10.1016/j.patcog.2022.108835, 2022.

[31] L. Liu, X. Jiang, M. Saerbeck, J. Dauwels, “Recurrent Affine Transform Encoder for Image Representation,” IEEE Access, vol 10, 18653-18666, DOI: 10.1109/ACCESS.2022.3150340, 2022.

[32] H. Jiang, M. Esfahani, K. Wu, K. Wan, K. Heng, H. Wang, X. Jiang, “iTD3-CLN: Learn to navigate in dynamic scene through Deep Reinforcement Learning,” Neurocomputing, vol 503, 118-128, DOI: 10.1016/j.neucom.2022.06.102, 2022.

[33] M. Hu, X. Qian, S. Liu, A. Koh, K. Sim, X. Jiang, C. Guan, J. Zhou, “Structural and diffusion MRI based schizophrenia classification using 2D pretrained and 3D naive Convolutional Neural Networks,” Schizophrenia Research, vol 243, 330-341, DOI: 10.1016/j.schres.2021.06.011, 2022.

[34] H. Li, X. Jiang, B. Guan, R. Tan, R. Wang, N. Thalmann, “Joint Feature Optimization and Fusion for Compressed Action Recognition,” IEEE Transactions on Image Processing, vol 30, 7926-7937, DOI: 10.1109/TIP.2021.3112008, 2021.

[35] X. Wang, X. Jiang, H. Ding, Y. Zhao, J. Liu, “Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition,” Pattern Recognition,   vol 120, 108075, 2021.

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

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

[38] H. Zhang, J. Thompson, M. Gu, X. Jiang, et al, “Efficient On-Chip Training of Optical Neural Networks Using Genetic Algorithm,” ACS Photonics, 8, 6, 1662–1672, 2021.

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

[40] S. Luo, …, X. Jiang, A. Liu, “Rare bioparticle detection via deep metric learning,” RSC Advances, 11, 17603-17610, DOI:10.1039/d1ra02869c 2021.

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

[42] S. Luo, …, X. Jiang, A. Liu, “Deep Learning‐Enabled Imaging Flow Cytometry for High‐Speed Cryptosporidium and Giardia Detection,” Cytometry Part A, vol 99, no. 11, 1123-1133, doi.org/10.1002/cyto.a.24321, 2021.

[43] M. Hu, H. Cheng, F. Ji, J. Chong, Z. Lu, W. Huang, K. Ang, K. Phua, K. Chuang, X. Jiang, C. Guan, E. Chew, J. Zhou, “Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study,” Frontiers in Human Neuroscience, 15, 692304, 2021.

[44] S. Luo, et al, “Machine learning-assisted intelligent imaging flow cytometry: a review,” Advanced Intelligent Systems, vol. 3, no. 11, 2100073, DOI: 10.1002/aisy.202100073, 2021.

[45] 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, 2020.

[46] 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.

[47] 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, 2020.

[48] 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.

[49] 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, 2020.

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

[51] S. Luo, …, X. Jiang, A. Liu, “Machine Learning-Based Pipeline for High Accuracy Bioparticle Sizing,” Micromachines, vol. 11, 1084, 2020.

[52] 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, 2019.

[53] 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, 2019.

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

[55] 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, 2019.

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

[57] 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, 2019.

[58] 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, 2019.

[59] 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.

[60] 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.

[61] Z. Lu, X. Jiang and A. Kot, “Deep Coupled ResNet for Low-Resolution Face Recognition,” IEEE Signal Processing letters, vol. 25, no. 4, pp. 526–530, Apr 2018.

[62] R. Huang and X. Jiang, “Off-Feature Information Incorporated Metric Learning for Face Recognition,” IEEE Signal Processing letters, vol. 25, no. 4, pp. 541–545, Apr 2018.

[63] Z. Lu, X. Jiang and A. Kot, “Feature Fusion with Covariance Matrix Regularization in Face Recognition,” Signal Processing, vol. 144, pp. 296–305, Mar 2018.

[64] 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.

[65] 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.

[66] 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.

[67] 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.

[68] 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.

[69] 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.

[70] 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 ©  

[71] 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.

[72] 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.

[73] 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 ©

[74] 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.

[75] 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.

[76] 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.

[77] 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.

[78] 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.

[79] 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.

[80] 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 ©

[81] 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) ©

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

[83] 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.

[84] 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.

[85] 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 ©

[86] 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.

[87] 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.

[88] 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 ©

[89] 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.

[90] 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 ©

[91] 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.

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

[93] 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.

[94] 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.

[95] 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 ©

[96] 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.

[97] 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.

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

[99] 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.

[100]              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.

[101]              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.

[102]              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.

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

[104]              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.

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

[106]              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.

[107]              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.

[108]              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.

[109]              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.

[110]              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.

[111]              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.

[112]              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.

[113]              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.

[114]              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:

·       Computer Vision

·       Machine Learning

·       Pattern Recognition

·       Image and Signal analysis

·       Face Recognition and Biometrics

Service:

·      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

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

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