|
Publications
|
||
|
|
|
|
Selected Journal Articles [1] W.
Hu, J. Hoe, J. Li, H. Hu, X. Jiang, Y. Tan, “Cascaded Dynamic Memory Refinement and
Semantic Alignment for Exo-to-Ego Cross-view Video Generation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2025.3569195, 2025. [2] X.
Wei, Z. Li, B. Ding, B. Shi, X. Jiang, G. Pan, Y. Cao, Q. Zheng, “Revisiting Supervised
Learning-Based Photometric Stereo Networks,” IEEE
Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2025.3557498,
2025. [3] Y.
Ju, B. Shi, B. Wen, K. Lam, X. Jiang, A. Kot, “Revisiting One-stage
Deep Uncalibrated Photometric Stereo via Fourier Embedding,” IEEE
Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2025.3557245, 2025. [4] Z.
Lin, X. Jiang, Z. Zheng, "Line-of-Sight Depth
Attention for Panoptic Parsing of Distant Small-Faint Instances," IEEE Transactions on
Image Processing, vol. 34, 1354-1366, DOI: 10.1109/TIP.2025.3540265, 2025. [5] X.
He, Y. Liu, Y. Zhou, H. Ding, J. Zhao, B. Liu, X. Jiang, “Hierarchical Relation Learning for
Few-shot Semantic Segmentation in Remote Sensing Images,” IEEE Transactions on
Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2025.3571738, 2025. [6] S. Pei, Y. Sun, F. Nie, X. Jiang, Z.
Zheng, “Adaptive
Graph k-Means,” Pattern Recognition,
vol 161, 111226, 2025. [7] W. He, J. Ren, R.
Bai, X. Jiang, “Two-stage
rule-induction visual reasoning on rpms with an application to video
prediction,” Pattern Recognition, vol 160, 111151, 2025. [8] W. He, J. Ren, R.
Bai, X. Jiang, “Radar
gait recognition using Dual-branch Swin Transformer with Asymmetric Attention
Fusion,” Pattern Recognition,
vol 159, 111101, 2025. [9] 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. [10]
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. [11]
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. [12] 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. [13] 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. [14]
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. [15]
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. [16] 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. [17]
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. [18]
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. [19] 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. [20] 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. [21]
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. [22]
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. [23] 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. [24] 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. [25] 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. [26]
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. [27]
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. [28]
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. [29]
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. [30] 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. [31]
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. [32] 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. [33] 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. [34] 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. [35]
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. [36] 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. [37]
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. [38]
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. [39] 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. [40] 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. [41] 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. [42]
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. [43] 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. [44]
H. Zhang, M. Gu, X. Jiang, et al, “An Optical Neural Chip for Implementing
Complex-valued Neural Network,” Nature
Communications, 12, 457, 2021. [45]
V. Mishuhina, X. Jiang,
“Complex
Common Spatial Patterns on Time-Frequency Decomposed EEG for Brain-Computer
Interface,” Pattern Recognition, vol. 115,
107918, 2021. [46]
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. [47]
K. Lim, X. Jiang, “Posterior
Approximation using Stochastic Gradient Ascent with Adaptive Step Size,” Pattern Recognition, vol. 112, 107783, 2021. [48]
S. Luo, …, X. Jiang, A. Liu, “Rare
bioparticle detection via deep metric learning,” RSC Advances, 11, 17603-17610, DOI:10.1039/d1ra02869c, 2021. [49]
J. Ren, X. Jiang, “A
Three-Step Classification Framework to Handle Complex Data Distribution for
Radar UAV Detection,” Pattern Recognition, vol. 111, 107709, 2021. [50]
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. [51]
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. [52]
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. [53]
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. [54]
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. [55]
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. [56]
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. [57]
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. [58]
K. Lim, X. Jiang, C.
Yi, “Deep Clustering
with Variational Autoencoder,” IEEE Signal Processing Letters, vol. 27, pp. 231-235,
2020. [59]
S. Luo, …, X. Jiang, A. Liu, “Machine
Learning-Based Pipeline for High Accuracy Bioparticle Sizing,” Micromachines, vol. 11, 1084, 2020. [60]
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. [61]
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. [62]
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. [63]
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. [64]
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. [65]
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. [66]
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. [67]
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. [68]
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. [69]
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. [70]
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. [71]
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. [72]
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. [73]
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, Volume: 36, no. 1, pp. 288 – 300, Jan 2017. [74]
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. [75]
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. [76]
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, Volume 63,
pp 719–730, Mar 2017. [77]
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. [78]
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, Jul 2016. © Codes © [79]
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. [80]
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. [81]
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 © [82]
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. [83]
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, Jun 2015. [84]
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. [85]
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. [86]
T. Chen, W. Yau and X. Jiang, “Fast
Match-on-Card Technique Using In-Matcher Clustering with ISO Minutia Template,”
International Journal of
Biometrics, vol. 7, no. 2, pp. 119-146, Aug 2015. [87]
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. [88]
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. [89]
Z. Miao and X. Jiang, “Additive And
Exclusive Noise Suppression by Iterative Trimmed And Truncated Mean Algorithm,”
Signal
Processing, vol. 99, pp. 147-158, Jun 2014. © Codes © [90]
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, Jan 2014. © Codes(Matlab) © [91]
Z. Miao and X. Jiang, “Interest
Point Detection Using Rank Order LoG Filter,” Pattern
Recognition, vol. 46, no. 11, pp.
2890-2901, Nov 2013. [92]
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, Oct 2013. [93]
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. [94]
Z. Miao and X. Jiang, “Weighted
Iterative Truncated Mean Filter,” IEEE Transactions on Signal
Processing, Vol. 61, no. 16, pp.
4149-4160, Aug 2013. © Codes © [95]
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, Apr 2013. [96]
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, Jan 2013. [97]
T. Chen, W. Yau and X. Jiang, "ISO/IEC
standards for on-card biometrics comparison," International Journal of Biometrics, vol. 5, no. 1, pp. 30-52, Jan 2013. [98]
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, Nov 2012. © Codes © [99]
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, Sep 2012. [100]
X. Jiang, "Iterative
Truncated Arithmetic Mean Filter And Its Properties," IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1537-1547, Apr 2012. © Codes © [101]
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, Jan 2012. [102]
X. Jiang, "Linear
Subspace Learning-Based Dimensionality Reduction," IEEE
Signal Processing Magazine, vol. 28, no. 2, pp. 16-26, Mar 2011. [103]
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, Oct 2011. [104]
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, Dec 2010. [105]
H. Yang, X. Jiang and A. Kot, “Recent
Advances on Documents Authentication based on the Data Hiding and
Watermarking Techniques,” Recent
Patents on Computer Science, vol. 3, no. 3, pp. 233 - 243, Nov 2010. [106]
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, Jul 2010. © Codes © [107]
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, Jun 2010. [108]
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. [109]
M. Liu, X. Jiang and A. Kot, “A
Multi-Prototype Clustering Algorithm”, Pattern Recognition, vol. 42, no. 5, pp. 689-698,
May 2009. [110]
W. Yu, X. Jiang and B. Xiong, “Data
Preparation for Sample-based Face Detection,” International Journal of Computer Applications in Technology, vol.
35, no. 1, pp. 10-22, Apr 2009. [111]
N. Sudha, N. Puhan, X. Hua and X. Jiang, “Iris Recognition on Edge Maps,” IET Computer Vision,
vol. 3, no. 1, pp. 1-7, Mar 2009. [112]
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, Jan 2009. [113]
T. Chen, W. Yau and X. Jiang, “Token-Based
Fingerprint Authentication,” Recent Patents on Computer Science, vol. 2, no. 1, pp.
50-58, Jan 2009. [114]
B. Mandal, X. Jiang
and A. Kot, “Face
Verification Using Modeled Eigenspectrum,”
The
Open Artificial Intelligence Journal, vol. 2, pp. 35-45, Aug 2008. [115]
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, Mar 2008. [116]
M. Liu, X. Jiang and A. Kot, “Efficient Fingerprint Search Based on Database Clustering,” Pattern Recognition, vol. 40, no. 6, pp. 1793-1803, Jun 2007. [117]
X. Jiang, “Extracting Image Orientation Feature by Using Integration
Operator,” Pattern Recognition, vol. 40, no. 2, pp. 705-717,
Feb 2007. [118]
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,
Dec 2006. [119]
X. Jiang, B. Mandal and A. Kot, “Enhanced
Maximum Likelihood Face Recognition,” Electronics Letters,
vol. 42, no. 19, pp. 1089-1090,
Sep 2006. [120]
X. Jiang, “On Orientation and Anisotropy Estimation for Online
Fingerprint Authentication,” IEEE
Transactions on Signal Processing, vol. 53, no. 10, pp. 4038- 4049,
Oct 2005. [121]
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,
Oct 2005. [122]
M. Liu, X. Jiang and A.
Kot, “Fingerprint
Reference Point Detection,” EURASIP Journal on Applied Signal Processing, vol. 2005, no. 4, pp.
498-509, Apr 2005. [123]
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, Oct 2004. [124]
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, Feb 2004. [125]
X. Jiang, “Image
Detail-preserving Filter for Impulsive Noise Attenuation,” IEE Proceedings: Vision, Image and Signal
Processing,
vol. 150, no. 3, pp. 179-185, Jun 2003. [126]
X. Jiang and A. Kam, “Constructing and Training Feed-Forward Neural Networks for
Pattern Classification,” Pattern Recognition, vol. 36, no.
4, pp. 853-867, Apr 2003. [127]
X. Jiang and W. Ser, “Online Fingerprint Template Improvement,” IEEE Transactions on
Pattern Analysis and Machine Intelligence, vol. 24, no. 8, pp. 1121-1126, Aug 2002. [128]
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. [129]
X. Jiang and
X. Xiao, “VLMS
Adaptive Algorithm” Acta
Electronica Sinica,
vol.16, no. 2, pp. 87-91, Mar 1988. (ISSN 0372-2112). [in Chinese] [130]
X. Jiang and X. Xiao, “LMS Algorithm and Adaptive
Signal Classification”, Journal of Electronic Warfare, vol. 1, no. 2,
pp. 37-44, Jun 1986. [in Chinese] Selected Conference Papers [131] S. Xia, Y. Yu, W. Yang, M. Ding, Z. Chen, L. Duan, A. Kot, X. Jiang, "Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems," IEEE Conference on Computer Vision and Pattern Recognition (CVPR Highlight, Acceptance Rate 2.6%), 2025. [132]
S. Hesham, Y.
Liu, G. Sun, H. Ding, J. Yang, E. Konukoglu, X.
Geng, X. Jiang, "Exploiting
Temporal State Space Sharing for Video Semantic Segmentation," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [133]
Y. Wang, H.
Ding, S. He, X. Jiang, B. Wei, J. Liu, "Hierarchical Alignment-enhanced
Adaptive Grounding Network for Generalized Referring Expression Comprehension,"
AAAI
Conference on Artificial Intelligence (AAAI), 2025. [134]
C. Li, Y. Tan,
Y. He, J. Ren, R. Bai, Y. Zhao, H. Yu, X. Jiang, "DARR: A
Dual-branch Arithmetic Regression Reasoning Framework for Solving Machine
Number Reasoning," AAAI Conference on Artificial Intelligence (AAAI), 2025. [135]
Z. Chen, Z. Lu,
D. Ma, H. Tang, X. Jiang, Q. Zheng, G. Pan, "EvHDR-GS:
Event-guided HDR Video Reconstruction with 3D Gaussian Splatting,"
AAAI
Conference on Artificial Intelligence (AAAI), 2025. [136]
X. Song, X.
Yang, C. Yao, J. Ren, R. Bai, X. Chen, X. Jiang, "ERL-MPP:
Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for
Solving Large-scale Jigsaw Puzzles of Eroded Gaps," AAAI Conference
on Artificial Intelligence (AAAI), 2025. [137]
J. Tu,
H. Yu, R. Ding, S. Wang, J. Ren, X. Jiang, “Jointly
Optimizing Data Discretization and Naive Bayes Classifier via Multi-Objective
Optimization,” IEEE Int. Conf. Acoustics, Speech, and
Signal Processing (ICASSP),
2025. [138] C. Li, G. Su, J. Ren, R. Bai, Y. Zhao, X. Jiang, “DBCR: Exploiting Both Intra-cluster and Extra-cluster Relations for Compositional Reasoning,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), 2025. [139]
Y. Wu, Y. Xu,
T. Xu, J. Zhang, J. Ren, X. Jiang, “GCA-SUNet:
A Gated Context-Aware Swin-UNet for Exemplar-Free
Counting,” IEEE Int. Conf. Multimedia and Expo (ICME), 2025. [140]
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. [141]
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. [142]
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. [143]
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. [144]
S. He, H. Ding, X. Jiang, B. Wen, “SegPoint: Segment Any Point Cloud via
Large Language Model,” European
Conference on Computer Vision (ECCV’24), 2024. [145]
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’24), 2024. [146]
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. [147]
H.
Du, G. Nan, …, X. Jiang, “DocMSU: A
Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding,”
AAAI Conference on Artificial
Intelligence (AAAI), 2024. [148]
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. [149]
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, 2024. [150]
W. He, J. Ren, R. Bai, X. Jiang, “Hierarchical Perceptual and
Predictive Analogy-Inference Network for Abstract Visual Reasoning,”ACM Multimedia, 2024. [151]
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. [152]
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. [153] Z. Qiao, X. Pham, S. Ramasamy, X Jiang, E. Kayacan, A. Sarabakha, “Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing,” Int. Joint Conf. Neural Networks (IJCNN), 2024. [154]
W. He, Y. Yan,
J. Ren, R. Bai, X. Jiang, "Multi-view
Spectrogram Transformer for Respiratory Sound Classification," IEEE Int. Conf. Acoustics, Speech, and Signal
Processing (ICASSP), 2024. [155]
R. Ding,
J. Ren, H. Yu, J. Li, X. Jiang, "Discriminant
Pixel-difference Vector Hashing of Spatial-temporal Local Binary Patterns for
Dynamic Texture Recognition," IEEE Int.
Conf. Acoustics, Speech, and Signal Processing (ICASSP),
2024. [156]
S. Yang, H. Ding, X. Jiang, "Generalized
Few-Shot 3D Point Cloud Segmentation," IEEE Int. Symp. Circuits
& Systems (ISCAS), 2024. [157]
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’23), 2023. [158]
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’23), 2023. [159]
C.
Liu, H. Ding, X. Jiang, “GRES:
Generalized Referring Expression Segmentation,” IEEE
Conference on Computer Vision and Pattern Recognition (CVPR’23 Highlight, Acceptance
Rate 2.6%), 2023. [160]
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’23), 2023. [161] 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’23), 2023. [162]
Z. Qiao, M. Hu, X.
Jiang, P. Suganthan, R. Savitha, “Class-Incremental
Learning on Multivariate Time Series via Shape-Aligned Temporal Distillation,” IEEE Int. Conf. Acoustics, Speech, and
Signal Processing (ICASSP),
2023. [163]
J. Liu, J. Ren, H.
Sun, X. Jiang, “Face
Recognition on Point Cloud with CGAN-Top for Denoising,” IEEE Int. Conf. Acoustics, Speech, and
Signal Processing (ICASSP),
2023. [164]
X, Song, X. Yang, J. Ren, R. Bai, X. Jiang, “Solving Jigsaw
Puzzle of Large Eroded Gaps Using Puzzlet
Discriminant Network,” IEEE
Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), 2023. [165]
R. Ji, J. Li, W. He,
J. Ren, X. Jiang, “Dual-Stream
Siamese Vision Transformer with Mutual Attention for Radar Gait Verification,” IEEE Int. Conf. Acoustics, Speech, and
Signal Processing (ICASSP),
2023. [166]
S Ye, W Kong, C Yao, J
Ren, X Jiang
, “Video Question Answering
Using CLIP-Guided Visual-Text Attention,” IEEE Int. Conf. Image Processing (ICIP), 2023. [167] H. Jiang, X. Jiang, K. Wan, H. Wang, “Deep Reinforcement Learning based Crowd Navigation via Feature Aggregation from Graph Convolutional Networks,” Int. Conf. Industrial Engineering and Applications (ICIEA), 2023. [168]
J. Ji, Z. Shu, H. Li, K. Lai, Y. Zheng, X. Jiang,
"Knowledge
Distillation and Multi-task Feature Learning for Partial Discharge
Recognition," IEEE Conference on Electrical Performance of
Electronic Packaging and Systems (EPEPS), 2023. [169]
S. Wang, J. Ren, X. Lian, R. Bai, X.
Jiang,
“Boosting
the Discriminant Power of Naive Bayes,” Int. Conf. Pattern Recognition (ICPR),
Aug 2022. [170]
S. Chen, W. He, J. Ren, X. Jiang, “Attention-Based
Dual-Stream Vision Transformer For Radar Gait Recognition,” IEEE Int. Conf. Acoustics, Speech, and
Signal Processing (ICASSP),
May 2022. [171] H. Jiang, K. Wan, H. Wang, X. Jiang, “A Dueling Twin Delayed DDPG Architecture for mobile robot navigation,” Int. Conf. Control, Automation, Robotics and Vision (ICARCV), Dec 2022. [172]
Z. Wang, C. Yao, J. Ren, X. Jiang, “Human Activity
Recognition Using 3D Orthogonally-projected EfficientNet
on Radar Time-Range-Doppler Signature,” IEEE
Int, Conf. Software Engineering and Artificial Intelligence (SEAI), Jun 2022. [173]
H.
Ding, C. Liu, S. Wang, X. Jiang, “Vision-Language
Transformer and Query Generation for Referring Segmentation,” International
Conference on Computer Vision (ICCV’21), Oct 2021. [174]
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’21), Oct 2021. [175]
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’21),
Jun 2021. [176]
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’21), Jun
2021. [177]
H. Li, X. Jiang, B.
Guan, N. Thalmann, “Efficient Sketch
Recognition via Compact Spatial Embedding Graph Neural Networks,” IEEE Int. Conf. Multimedia and
Expo (ICME), Jul 2021. [178]
C. Liu, H. Ding, X. Jiang, “Towards
Enhancing Fine-grained Details for Image Matting,” IEEE/CVF Winter Conference on Applications of Computer
Vision (WACV’21), Jan 2021. [179]
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. [180]
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, Acceptance Rate 5.3%), Aug 2020. [181]
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. [182]
M. Hu, K. Sim, J. Zhou, X. Jiang, C. Guan, “Brain MRI-based
3D Convolutional Neural Networks for Classification of Schizophrenia and
Controls,” 42nd Annual
Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBC'20), Jul
2020. [183]
J Mei, H Ding, X Jiang, “Object
6D pose estimation with non-local attention,” SPIE Int. Conf. Digital Image Processing
(ICDIP), May 2020. [184]
H. Zhang, L. Wan, M. Gu, X.
Jiang, J. Thompson, etc., “Efficient
Nonlinear Activation Function in Optical Neural Network,” Conf. Lasers and Electro-Optics,
Optical Society of America, May 2020. [185]
H. Ding, X. Jiang, B. Shuai, A. Liu,
and G. Wang, “Semantic
Correlation Promoted Shape-Variant Context for Segmentation,” IEEE
Conference on Computer Vision and Pattern Recognition, pp. 8885-8894, (CVPR’19 Oral, Acceptance Rate 5.6%), Jun 2019. [186]
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. [187]
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. [188]
X. Wang, D. Heng, X. Jiang, “Dermoscopic
Image Segmentation through the Enhanced High-Level Parsing And Class Weighted
Loss,”
IEEE Int. Conf. Image
Processing (ICIP), pp. 245-249,
Sep 2019. [189]
Q.
Zheng, B. Shi, X. Jiang, L. Duan, A. Kot, “Denoising
Adversarial Networks for Rain Removal And Reflection Removal,” IEEE Int. Conf. Image Processing (ICIP), pp. 2766-2770,
Sep 2019. [190]
S. Luo, K. Nguyen, X. Jiang, etl, “A High Performance of
Single Cell Imaging Detection with Deep Learning,” IEEE Int. Conf. on Image,
Vision and Computing (ICIVC), pp. 356-360, Jul 2019. [191]
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 [192]
H. Ding, X. Jiang, B. Shuai, A. Liu,
and 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, Acceptance Rate 2.1%), Jun 2018. [193]
M.
Yan, X. Jiang and J. Yuan, “3D Convolutional
Generative Adversarial Networks for Detecting Temporal Irregularities in
Videos,” Int. Conf. Pattern Recognition (ICPR),
Aug 2018 [194]
I. Rida, S. Maadeed,
X. Jiang, F. Lunke, A. Bensrhair,
"An Ensemble
Learning Method Based On Random Subspace Sampling For Palmprint
Identification," IEEE Int.
Conf. Acoustics, Speech, and Signal Processing (ICASSP), Apr 2018. [195]
M. Hu, et al, “Differential
Amplitude of Low-Frequency Fluctuations in brain networks after BCI Training
with and without tDCS in Stroke,” Annual
Int. Conf. of IEEE Engineering in Medicine and Biology Society (EMBC’18), Jul 2018. [196]
J, Ren and X. Jiang, “Radar
Micro-Doppler Signature Analysis and Its Application on Gait Recognition,”
SPIE, Third Int. Workshop on Pattern
Recognition, May 2018. [197]
X. Wang and X. Jiang, “Post-processing
for retinal vessel detection,” SPIE
Int. Conf. Digital Image Processing (ICDIP), May 2018. [198]
Z. Yu, X. Jiang, T. Wang and B. Lei,
"Aggregating
Deep Convolutional Features for Melanoma Recognition in Dermoscopy
Images,” Int. Workshop on Machine
Learning in Medical Imaging, pp 238-246, Quebec City, Canada, Sep 2017. [199]
X. Wang and X. Jiang, “Enhancing Retinal Vessel
Segmentation By Color Fusion,” IEEE Int.
Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 891 –
895, New Orleans, USA, Mar 2017. [200]
Z. Lu, X. Jiang and A. Kot, “A Novel Lbp-Based Color Descriptor For
Face Recognition,” IEEE Int. Conf.
Acoustics, Speech, and Signal Processing (ICASSP), pp. 1857 –
1861, New Orleans, USA, Mar 2017. [201]
Z. Miao, K. Yap, X. Jiang, S. Sinduja
and Z. Wang, “Laplace
Gradient based Discriminative and Contrast Invertible Descriptor,” IEEE Int.
Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 1842 –
1846, New Orleans,
USA, Mar 2017. [202]
X. Wang and X. Jiang, “Nonlinear
Retinal Image Enhancement for Vessel Detection,” SPIE 10420, Int. Conf. Digital Image Processing
(ICDIP), Hong Kong, May 2017. [203]
Z. Lu, X. Jiang and A. Kot, “Enhance Deep Learning
Performance in Face Recognition,” Int. Conf. Image, Vision and Computing
(ICIVC), pp. 244-248, Chengdu, Jun 2017. [204]
J,
Ren, X.D,
Jiang, and J. Yuan, “Sound-Event
Classification Using Pseudo-Color CENTRIST Feature
and Classifier Selection,” SPIE 10011, First Int. Workshop on Pattern
Recognition, Tokyo, Japan, Jul 2016. [205]
Z. Lu, X. Jiang and A. Kot, “An Effective Color Space for Face Recognition,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP),
pp. 2019 – 2023, Shanghai, Mar 2016. [206]
J. Ji, X. Jiang and W. Sun, “Shadow Detection
Using Double-Threshold Pulse Coupled Neural Networks,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP),
pp. 1971 – 1975, Shanghai, Mar 2016. [207]
J. Ren, X. Jiang and J. Yuan, “Quantized Fuzzy LBP
For Face Recognition,” IEEE Int. Conf.
Acoustics, Speech, and Signal Processing (ICASSP), pp. 1503 -
1507, Brisbane, Australia, Apr 2015. [208]
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),
Zürich, Switzerland, Sep 2014. [209]
J. Lai, X. Jiang, “Supervised Trace
Lasso for Robust Face Recognition,” IEEE Int. Conf. Multimedia and Expo. (ICME), Chengdu, China, Jul 2014. [210]
J. Lai, X. Jiang, “Discriminative
Sparsity Preserving Embedding for Face Recognition,” IEEE Int. Conf. Image Processing (ICIP), pp. 3695-3699, Melbourne, Australia, Sep 2013. [211]
J. Ren, X. Jiang and J. Yuan, “Learning Binarized
Pixel-difference Pattern for Scene Recognition,” IEEE Int. Conf. Image Processing (ICIP), pp. 2494 - 2498, Melbourne, Australia, Sep 2013. [212]
A. Satpathy,
X. Jiang and H. Eng, “Visual Object
Detection by Parts-based Modeling Using Extended
Histogram of Gradients,” IEEE Int.
Conf. Image Processing (ICIP),
pp. 2738 - 2742, Melbourne,
Australia,
Sep 2013. [213]
J. Ren, X. Jiang and J. Yuan, “Relaxed Local
Ternary Pattern for Face Recognition,” IEEE Int. Conf. Image Processing (ICIP),
pp. 3680-3684, Melbourne,
Australia,
Sep 2013. [214]
Z. Miao and X. Jiang, “A Vote of
Confidence Based Interest Point Detector,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 1459 -
1463, Vancouver,
Canada, May 2013. [215]
J. Lai and X. Jiang, “Robust Face
Recognition Using Trimmed Linear Regression,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 2979 -
2983, Vancouver,
Canada, May 2013. [216]
A. Satpathy,
X. Jiang and H. Eng, “Human Detection
Using Discriminative and Robust Local Binary Pattern,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 2376 -
2380, Vancouver,
Canada, May 2013. [217]
J. Ren, X. Jiang and J. Yuan, “Dynamic Texture
Recognition Using Enhanced LBP Features” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 2400 -
2404, Vancouver,
Canada, May 2013. [218]
C. Geng, X. Jiang, “Face Alignment
Based on The Multi-Scale Local Features,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 1517 -
1520, Kyoto, Japan,
Mar 2012. [219]
Z. Miao, X. Jiang, “A Novel Rank Order
LoG Filter for Interest Point Detection,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 937-940, Kyoto, Japan,
Mar 2012. [220]
J. Ren, X. Jiang and J. Yuan, "A Fast
and Accurate Cascade Subspace Face/Eye Detector on Mobile Devices," Int. Conf. Computer Vision (ICCV2011),
Workshop on Mobile Vision, pp. 84--91, Barcelona, Spain,
Nov 2011. [221]
A. Satpathy, X. Jiang and H. Eng, “Extended
Histogram of Gradients with Asymmetric Principal Component and Discriminant
Analyses for Human Detection,” Canadian Conf. Computer and Robot Vision (CRV), pp. 64--71, St. John's, Canada, May 2011. [222]
H. Yang, X. Jiang and A. Kot, “Accurate
Localization of Four Extreme Corners for Barcode Images Captured by Mobile
Phones,” IEEE Int. Conf. Image
Processing (ICIP), pp.
3897–3900, Hong Kong, Sep 2010. [223]
A. Satpathy,
X. Jiang and H. Eng, “Extended
Histogram of Gradients Feature for Human Detection,” IEEE Int. Conf. Image Processing (ICIP), pp. 3473–3476, Hong Kong, Sep 2010. [224]
H. Yang, A. Kot and X. Jiang, “Dynamic
Window Construction for the Binarization of Barcode Images Captured by Mobile
Phones,” IEEE Int. Conf. Image
Processing (ICIP), pp.
3001–3004, Hong Kong, Sep 2010. [225]
H. Yang, X.
Jiang and A. Kot, “Image
Watermarking Using Dual-Tree Complex Wavelet by Coefficients Swapping and
Group of Coefficients Quantization,” IEEE Int. Conf. Multimedia and Expo. (ICME), pp. 1673–1678,
Singapore, Jul
2010. [226]
C. Wee, X.
Jiang, A. Kot and R. Paramesran, “Quantifying
Image Distortions Using SVD,” 5th
IEEE Conf. Industrial Electronics and Applications (ICIEA), pp. 381–386, Taichung, Jun 2010. [227]
H. Yang,
A. Kot and X. Jiang, “Knowledge
Guided Adaptive Binarization for 2D Barcode Images Captured by Mobile Phones”,
IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP),
pp. 1046 - 1049, Texas, USA, Mar
2010. [228]
J. Ren and X. Jiang, “Eye
Detection Based on Rank Order Filter,” IEEE 7th Int. Conf. Information, Communications and Signal
Processing, Macau, Dec 2009. [229]
C. Geng and X. Jiang, “Face
Recognition Using SIFT Features,” IEEE Int. Conf. Image Processing (ICIP), pp. 3313–3316, Cairo, Egypt, Nov 2009. [230]
J. Ren and X. Jiang, “Fast
Eye Localization Based on Pixel Differences,” IEEE Int. Conf. Image Processing (ICIP), pp. 2733 – 2736, Cairo, Egypt,
Nov 2009. [231]
H. Yang, X. Jiang and A. Kot, “Generating Secure Cancelable
Fingerprint Templates Using Local and Global Features,” IEEE Int. Conf. Computer Science and
Information Technology, pp.645-649, Beijing, Aug 2009. [232]
X. Jiang , “Feature Extraction
for Image Recognition and Computer Vision” IEEE Int. Conf. Computer Science and Information Technology,
pp.1-15, Keynote Speech, Beijing,
Aug 2009. [233]
C. Geng and X. Jiang, “SIFT Features for Face Recognition” IEEE Int. Conf. Computer Science and
Information Technology, pp.598-602, Beijing, Aug 2009. [234]
B.
Mandal, X. Jiang and A. Kot, “Verification
of Human Faces Using Predicted Eigenvalues,” Int. Conf. Pattern
Recognition (ICPR), vol. 1-6, pp. 1442-1445
Tampa, Florida, USA, Dec 2008. Best
Biometrics Student Paper Award from International Association of
Pattern Recognition (IAPR) [235]
P. Yap,
X. Jiang and A. Kot, “Boosted
Complex Moments for Discriminant Rotation Invariant Object Recognition,” International
Conference on Pattern Recognition (ICPR), vol. 1-6, pp. 2482-2485, Tampa, Florida,
USA, Dec 2008. [236]
A. Satpathy,
H. Eng and X. Jiang, “Difference of
Gaussian Edge-Texture Based Background Modeling for
Dynamic Traffic Conditions”, 4th International Symposium
on Visual Computing (ISVC), LNCS 5358 pp. 406–417, Las Vegas,
Nevada, USA, Dec 2008. [237]
Q. Sun, Z.
Li, X. Jiang, A. Kot, “An
Interactive and Secure User Authentication Scheme for Mobile Devices,” IEEE International Symposium on Circuits and Systems (ISCAS) pp. 2973-2976, Washington, USA, May 2008. [238]
P. Yap,
X. Jiang and A. Kot, “LDA
Enhanced Moments,” IEEE
Sixth International Conference on Information, Communications and Signal
Processing, Singapore, Dec 2007. [239]
N. Puhan, N.
Sudha and X. Jiang, “Robust
Eyeball Segmentation in Noisy Iris Images using Fourier Spectral Density,”
IEEE Sixth International Conference on Information,
Communications and Signal Processing,
Singapore, Dec 2007. [240]
N. Sudha, N. Puhan,
X. Hua and X. Jiang, “Local Partial Hausdorff
Distance Measure Based on Binary Feature for Iris Recognition”, Third Indian International Conference on
Artificial Intelligence, pp. 621-629, Pune, India, Dec 2007. [241]
B.
Mandal, X. Jiang and A. Kot, “Dimensionality
Reduction in Subspace Face Recognition,” IEEE Sixth International Conference on Information,
Communications and Signal Processing,
Singapore, Dec 2007. [242]
N. Sudha, N. Puhan,
X. Hua and X. Jiang, “Iris
Recognition on Edge Maps,” IEEE
Sixth International Conference on Information, Communications and Signal
Processing, Singapore, Dec 2007. [243]
X.
Jiang, “Problems of Holistic Face Recognition and Solutions,” Asian Biometrics
Consortium Conference and Exhibition 2007, Invited paper, Singapore, Sep 2007. [244]
M. Liu,
X. Jiang and A. Kot, “Database
Clustering Based on Multi-prototype Representation of Cluster,” IEEE International Conference on
Multimedia & Expo (ICME), pp. 2198-2201, Jul
2007. [245]
H.
Yang, A. Kot, S. Rahardja and X. Jiang, “High
Capacity Data Hiding for Binary Images in Morphological Wavelet Transform
Domain,” IEEE International Conference on Multimedia & Expo (ICME), pp. 1239-1242, Jul 2007. [246]
B.
Mandal, X. Jiang and A. Kot, “Kernel Fisher
Discriminant Analysis in Full Eigenspace,” International Conference on Image Processing, Computer Vision, and
Pattern Recognition, pp.
235-241, Las Vegas, USA, Jun 2007. [247]
X.
Jiang, B. Mandal, and A. Kot, “Face
Recognition Based On Discriminant Evaluation in the Whole Space,” IEEE International Conference on
Acoustics, Speech, And Signal Processing (ICASSP), vol. 2, pp.
245-248, Hawaii, USA, Apr 2007. [248]
M. Liu, X. Jiang and A. Kot, “Fingerprint
Retrieval by Complex Filter Responses,” International Conference on Pattern Recognition (ICPR),
Hong Kong, Aug 2006. [249]
B. Mandal,
X. Jiang and A. Kot, “Multi-scale
Feature Extraction for Face Recognition,” IEEE Conference on
Industrial Electronics and Applications, Singapore, May 2006. [250]
X.
Jiang, M. Liu and A. Kot, “Fingerprint
Identification with Exclusive and Continuous Classification,” IEEE
Conference on Industrial Electronics and Applications, Singapore, May
2006. [251]
X.
Jiang, P. Mandal and A. Kot, “Improved
Bayesian Approach for Face Recognition,” IEEE
Fifth International Conference on Information, Communications and Signal
Processing, pp. 162–166, Bangkok, Dec 2005. [252]
M. Liu,
X. Jiang and A. Kot, “Nonlinear
Fingerprint Orientation Smoothing by Median Filter,” IEEE Fifth
International Conference on Information, Communications and Signal Processing,
pp. 1439-1443 Bangkok, Dec 2005. [253]
K. Toh, X. Jiang and W. Yau, “Relaxation
of Hard Classification Targets for LSE Minimization” Fifth International
workshop on Energy Minimization Methods in Computer Vision and Pattern
Recognition (EMMCVPR), St.
Augustine, FL, USA, Nov 2005, Lecture
Notes in Computer Science, LNCS 3757, pp. 187-202). [254]
L. Jiang,
A. Yeo, X. Jiang and Z. Lu, “Frontal infrared
human face detection by distance from centroid method,” IEEE
International Symposium on Intelligent Multimedia, Video and Speech
Processing, Hong Kong, pp. 41–44, Oct 2004. [255]
T. Chen, X. Jiang and W. Yau, “Fingerprint
Image Quality Analysis,” IEEE International
Conference on Image Processing (ICIP), vol. 2, pp. 1253–1256, Singapore, Oct
2004. [256]
E. Lim, K. Toh, P. Suganthan, X. Jiang
and W. Yau, “Fingerprint
Image Quality Analysis,” IEEE International
Conference on Image Processing (ICIP),
vol. 2, pp. 1241–1244, Singapore, Oct 2004. [257]
X. Jiang, M.
Liu and A. Kot, “Reference
Point Detection for Fingerprint Recognition,” International
Conference on Pattern Recognition (ICPR), vol. 1, pp. 540 – 543, Cambridge, U.K., Aug 2004. [258]
K. Toh, X. Jiang and W. Yau, “A Hyperbolic
Function Model for Multiple Biometrics Decision Fusion,” International
Conference on Biometric Authentication,
Lecture Notes in Computer
Science, Biometric Authentication, LNCS
3072, pp. 655-662, Jul 2004. [259]
M. Liu, X. Jiang and A. Kot, “Fingerprint
Reference Point Detection,” International Conference on Biometric
Authentication, Lecture Notes in
Computer Science, Biometric
Authentication, LNCS 3072, pp. 272-279, Jul 2004. [260]
K. Toh, W. Yau and X. Jiang, “Multiple
Biometrics And Decision Fusion,” in Proceedings of the Biometrics and
Security Workshop held in conjunction with the Symposium on Cryptography and
Information Security, pp.471-476, Japan, Jan 2004. [261]
K. Toh, W. Yau and X. Jiang,
“Multi-modal Biometrics Decision Fusion,” Asian Biometric Workshop, Singapore, Dec 2003 (invited paper) [262]
K. Toh, W. Xiong, W. Yau and X. Jiang,
“Combining
Fingerprint and Hand-Geometry Verification Decisions,” 4th
International Conference on Audio- and Video-Based Biometric Person
Authentication, Guildford, UK, Lecture Notes in Computer
Science LNCS vol.
2688, pp. 688-696, Jun 2003. [263]
H. Lu, X. Jiang and W. Yau “Effective
and Efficient Fingerprint Image Postprocessing,” 7th International
Conference on Control, Automation, Robotic and Vision, vol. 2, pp. 985-989, Singapore, Dec 2002 (invited paper). [264]
E. Lim, X. Jiang and W. Yau, “Fingerprint
Quality And Validity Analysis,” Proc. IEEE
International Conference on Image Processing (ICIP), vol. I. pp. 469-472, New York, USA, Sep 2002. [265]
X. Jiang, “A Study
of Fingerprint Image Filtering,” IEEE International Conference on
Image Processing (ICIP), vol. 3, pp. 238-241, Thessaloniki,
Greece, Oct 2001. [266]
K. Toh, W. Yau, X. Jiang, T. Chen, J.
Lu, and E. Lim, “Minutiae
Data Synthesis for Fingerprint Identification Application,” Proc. IEEE International Conference on Image Processing (ICIP),
vol. 3, pp. 262-265, Thessaloniki, Greece, Oct 2001. [267]
W. Yau, K. Toh,
X. Jiang, C. Pang and J. Lu, “On
Fingerprint Template Synthesis,” Proc. 6th International Conference on Control, Automation, Robotics and
Vision, Singapore, Dec 2000. [268]
X. Jiang and W.
Yau, “Fingerprint
Minutiae Matching Based on the Local And Global Structures”, Proc.
15th International Conference on Pattern Recognition (ICPR), vol. 2,
pp. 1038-1041, Barcelona, Spain, Sep 2000. [269]
X. Jiang, “Fingerprint
Image Ridge Frequency Estimation by Higher Order Spectrum”, Proc. IEEE International Conference on Image Processing (ICIP), vol. I, pp. 462-465, Vancouver, Canada, Sep 2000. [270]
X. Jiang, “Fundamental
Frequency Estimation By Higher Order Spectrum”, Proc. IEEE
International Conference on Acoustics, Speech, And Signal Processing (ICASSP),
Vol. I, pp. 253-256, Istanbul, Turkey,
Jun 2000. [271]
X. Jiang, W.
Yun Yau and W. Ser, “Fingerprint Image
Processing for Automatic Verification”, Proc. IEEE Second International Conference on
Information, Communication & Signal Processing, Singapore, Dec 1999. [272]
X. Jiang, “A Novel Fast
Constructive Algorithm for Neural Classifier”, Proc. IEEE Second International Conference on Information, Communication
& Signal Processing, Singapore, Dec
1999. [273]
W. Yau, X.
Jiang and W. Ser, “Enhancing
Oriented Pattern Using Adaptive Directional FFT Filter”, Proc. IEEE Second International Conference on Information, Communication
& Signal Processing, Singapore, Dec
1999. [274]
X. Jiang, W. Yau and W. Ser, “Minutiae
Extraction by Adaptive Tracing the Gray Level Ridge of the Fingerprint Image”,
Proc. IEEE
Sixth International Conference on Image Processing (ICIP), vol. 2, pp. 852-856,
Kobe, Japan, 1999. [275]
X. Jiang and H. Stein, "Locally and Globally Training
Neural Networks for Pattern Recognition", Proc. 19th DAGM (German Association
for Pattern Recognition)-Symposium, Pattern Recognition, pp. 121-128,
Braunschweig, Germany, Sep 1997. [in German] [276]
X. Jiang and H. Stein, "Fault
Diagnosis Using the Neural Networks," Proc. 40.
International Scientific Conference, Vol. 4, pp. 636-641, Ilmenau,
Germany, Sep 1995. [in German] Book Chapters [277]
H. Li, X. Jiang, N. Thalmann,, “Object
Detection: State of the Art and Beyond,” in Intelligent
Scene Modeling and Human-Computer Interaction, DOI: 10.1007/978-3-030-71002-6_2, ISBN: 978-3-030-71002-6, Springer, 2021. [278]
J. Weng, X. Jiang, J. Yuan, “NBNN-Based
Discrimintive 3D Action and Gesture Recognition,” in Intelligent
Scene Modeling and Human-Computer Interaction, DOI: 10.1007/978-3-030-71002-6_3,
ISBN: 978-3-030-71002-6, Springer, 2021. [279]
J.
Ren, X. Jiang, J Yuan, “Face and
Facial Expressions Recognitions Using Noise-Resistant Local Binary Pattern”,
in Context
Aware Human-Robot and Human-Agent Interaction, pp 3-29, DOI: 10.1007/978-3-319-19947-4_1, ISBN: 978-3-319-19947-4, Springer, 2016. [280]
T. Chen, W. Yau, X. Jiang, “Biometrics on
Smartcard”, in Biometrics from
Fiction to Practice, pp. 149-163, ISBN:
9789814310888, Pan Standford Publishing, 2013. [281]
M. Liu, X. Jiang, A. Kot, P.T. Yap, "Application
of Polar Harmonic Transforms to Fingerprint Classification," in Emerging Topics in
Computer Vision and Its Applications, pp. 297-312, ISBN: 978-981-4340-99-1, World
Scientific, Sep 2011. [282]
H. Yang, X.
Jiang, A. Kot, "Embedding
Binary Watermarks in Dual-Tree Complex Wavelets Domain for Access Control of
Digital Images," in Transactions
on Data Hiding and Multimedia Security VI, pp. 18-36, ISBN: 978-3-642-14297-0, Springer, Nov.
2011. [283]
X. Jiang, “Fingerprint
Classification,” in Encyclopedia of Biometrics, pp. 439-446, ISBN:
978-0-387-73004-2, Springer, August 2009. [284]
T. Chen, W. Yau, X. Jiang, “On-card
Matching,” Encyclopedia of Biometrics, pp. 1014-1021, ISBN:
978-0-387-73004-2, Springer, August 2009. Editorials and
others [285]
P. Correia, X, Jiang, “Keeping
identity in times of change,” IET
Biometrics, 9 (6), pp.
223-223, 2020. [286]
X. Jiang, J. Lai, “Face
Recognition by Sparse And Dense Hybrid Representation via Dictionary
Decomposition,” IEEE Biometrics Council Newsletter, vol. 13, pp. 4-5, October
2014. [287]
M. Khan, M.
Kamel, X.D Jiang, “Recent Advances
and Future Directions in Biometrics,” Journal of Network and Computer Applications, vol. 33, no. 3, pp. 205-206, May 2010. [288]
X. Jiang, “Automated Fingerprint
Identification Systems,” Criminal Justice Review, vol. 32, no. 2, pp. 182-183, Jun 2007. Patents Granted United States Patents: [289]
W. Ser, X. Jiang, W. Yau, “Method
and device for computer-based processing a template minutia set of a
fingerprint and a computer readable storage medium,” United States Patent, No. 7369688, May 6, 2008. [290]
W. Yau, K. Toh, X. Jiang, “Method
and device for determining a total minutiae template from a plurality of
partial minutiae templates,” United
States Patent, No. 7236617,
June 26, 2007. [291]
X. Jiang, W. Yau, W. Ser, “Two-stage
local and global fingerprint matching technique for automated fingerprint
verification/identification,” United
States Patent No. 6778685, August 17, 2004. Granted European Patent: [292]
W. Yau, X. Jiang, W. Ser, “Fingerprint
sensing apparatus,” European patent, No. 1221130, May, 03,
2006. Granted Singapore Patents: [293]
W. Yau, K. Toh, X. Jiang, “Method
and device for determining a total minutiae template from a plurality of
partial minutiae templates,” Singapore Patent, No. 92214, July 31, 2006. [294]
W. Yau, X. Jiang, W. Ser, “Fingerprint
sensing apparatus,” Singapore
Patent, No. 86809, Feb. 27, 2004. [295]
X. Jiang, W. Yau, W. Ser, “Two-stage
local and global fingerprint matching technique for automated fingerprint
verification/identification,” Singapore
Patent, No. 67584, June 14, 2002. Granted China Patent: [296]
W. Yau, X. Jiang, E. Lim, K. Toh, “Method
for Synthesizing a Minutiae Template and Increasing Reliability of
Fingerprint Matching Using a Fingerprint Sensor with Small Sensor Area,”
Chinese Patent ZL 02 8 28599, June 31, 2008. Patent Applications Filed: [297]
A. Liu,
H. Zhang, L. Kwek, X. Jiang, “Apparatus
And Method For Implementing A Complex-Valued Neural Network,”
PCT Patent Application no.: PCT/SG2021/050173, under publication no.: WO
2021/201773 A1, Filed on 7 Oct. 2021. |
||
|
|
||
|
|
||
