2024

[82] R. Wang, Q. Li, G. Shi, Q. Li, and D. Zhong, "A deep learning framework for predicting endometrial cancer from cytopathologic images with different staining styles," PLOS ONE, vol. 19, no. 7, p. e0306549, 2024.

[81] R. Wang, S. Yang, Q. Li, and D. Zhong, "CytoGAN: Unpaired staining transfer by structure preservation for cytopathology image analysis," Computers in Biology and Medicine, vol. 180, p. 108942, 2024.

[80] C. Liu, H. Shao, and D. Zhong, "PalmSecMatch: A data-centric template protection method for palmprint recognition," Displays, p. 102771, 2024, doi: 10.1016/j.displa.2024.102771

[79] D. Jing, H. Shao, and D. Zhong, "Boosting edge detection via Fusing Spatial and Frequency Domains," Pattern Recognition, p. 110699, 2024, doi: 10.1016/j.patcog.2024.110699

[78] H. Shao, Y. Zou, C. Liu, Q. Guo, and D. Zhong, "Learning to Generalize Unseen Dataset for Cross-dataset Palmprint Recognition," IEEE Transactions on Information Forensics and Security, 2024, doi: 10.1109/TIFS.2024.3371257

2023

[77] H. Shao, C. Liu, X. Li, and D. Zhong, "Privacy Preserving Palmprint Recognition via Federated Metric Learning," IEEE Transactions on Information Forensics and Security, vol. 19, pp. 878 - 891, 2023, doi: 10.1109/TIFS.2023.3327667

[76] Yuchen Zou, Chengcheng Liu, Huikai Shao and Dexing Zhong, “Unsupervised Palmprint Image Quality Assessment via Pseudo-Label Generation and Ranking Guidance,”IEEE Transactions on Instrumentation and Measurement, 2023,DOI: 10.1109/TIM.2023.3288259

[75] H. Shao, and D. Zhong, “Multi-target Cross-dataset Palmprint Recognition via Distilling From Multi-Teachers,”IEEE Transactions on Instrumentation and Measurement, 2023, DOI:10.1109/TIM.2023.3284057

2022

[74] 刘钧文, 钟德星，邵会凯, 刘成城, “基于边缘计算的紧致化掌纹识别系统,” 中国科学. 技术科学, 2022, 52 (5): 704-712.

[73] Li, Q.; Wang, R.; Xie, Z.; Zhao, L.; Wang, Y.; Sun, C.; Han, L.; Liu, Y.; Hou, H.; Liu, C.; Zhang, G.; Shi, G.; Zhong, D.; Li, Q. Clinically Applicable Pathological Diagnosis System for Cell Clumps in Endometrial Cancer Screening via Deep Convolutional Neural Networks. Cancers 2022, 14, 4109. https://doi.org/10.3390/cancers14174109

[72] Wang X, Wang R, Yang S, Zhang J, Wang M, Zhong D, Zhang J, Han X. Combining Radiology and Pathology for Automatic Glioma Classification. Front Bioeng Biotechnol. 2022 Mar 21;10:841958. https://doi.org/10.3389/fbioe.2022.841958

[71] C. Liu, D. Zhong, and H. Shao, "Data Protection in Palmprint Recognition via Dynamic Random Invisible Watermark Embedding," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 32, no. 10, pp. 6927-6940, 2022.

[70] J. Wan, D. Zhong, and H. Shao, “Palmprint recognition system for mobile device based on circle loss,” Displays, vol. 73, 2022.

[69] Sun C, Wang R, Zhao L, Han L, Ma S, Liang D, Wang L, Tuo X, Zhang Y, Zhong D, Li Q. A Computer-Aided Diagnosis System of Fetal Nucleated Red Blood Cells With Convolutional Neural Network. Arch Pathol Lab Med. 2022 Mar 16. https://doi.org/10.5858/arpa.2021-0142-OA.

[68] H. Shao, and D. Zhong, "Towards Open-set Touchless Palmprint Recognition via Weight-based Meta Metric Learning," Pattern Recognition, vol. 121, pp. 1-12, 2022.

2021

[67] Y. Xu, Y. Li, Y. Wang, D. Zhong, G. Zhang, Improved few-shot learning method for transformer fault diagnosis based on approximation space and belief functions, Expert Systems with Applications, 167 (2021) 114105.

[66] H. Shao, D. Zhong, and X. Du, "A Deep Biometric Hash Learning Framework for Three Advanced Hand-based Biometrics," IET Biometrics, vol. 10, no. 3, pp. 246-259, 2021.

[65] K. Luo, and D. Zhong, “Robust and adaptive region of interest extraction for unconstrained palmprint recognition,” Journal of Electronic Imaging, vol. 30, no. 03, 2021.

[64] H. Shao, and D. Zhong, "Learning with Partners to Improve the Multi-source Cross-dataset Palmprint Recognition," IEEE Transactions on Information Forensics and Security (TIFS), vol. 16, pp. 5182-5194, 2021.

[63] H. Shao, D. Zhong, X. Du, S. Du, and R. Veldhuis, "Few-Shot Learning for Palmprint Recognition via Meta-Siamese Network," IEEE Transactions on Instrumentation and Measurement (TIM), vol. 70, pp. 1-12, 2021.

[62] H. Shao, and D. Zhong, "Towards Cross-Dataset Palmprint Recognition Via Joint Pixel and Feature Alignment," IEEE Transactions on Image Processing (TIP), vol. 30, pp. 3764-3777, 2021.

[61] R. Wang, X. Liu, H. Shao, Q. Li and D. Zhong, "3D Dense Volumetric Network for Accurate Automated Pancreas Segmentation," in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.

[60] C. Liu, D. Zhong, and H. Shao, "Few-shot Palmprint recognition based on Similarity Metric Hashing Network," Neurocomputing, vol. 456, pp. 540-549, 2021.

[59] H. Shao, D. Zhong, and X. Du, "Deep Distillation Hashing for Unconstrained Palmprint Recognition," IEEE Transactions on Instrumentation and Measurement (TIM), vol. 70, pp. 1-13, 2021.

[58] H. Shao, and D. Zhong, "One-shot cross-dataset palmprint recognition via adversarial domain adaptation," Neurocomputing, vol. 432, pp. 288-299, 2021.

[57] X. Du, D. Zhong, and H. Shao, "Cross-Domain Palmprint Recognition Via Regularized Adversarial Domain Adaptive Hashing," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 31, no. 6, pp. 2372-2385, 2021.

2020

[56] H. Shao, and D. Zhong, "Towards privacy palmprint recognition via federated hash learning," Electronics Letters, vol. 56, no. 25, pp. 1418-1420, 2020.

[55] J. Zhu, D. Zhong, and K. Luo, "Boosting Unconstrained Palmprint Recognition with Adversarial Metric Learning," IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 2, no. 4, pp. 388-398, 2020.

[54] H. Shao, D. Zhong, and X. Du, “Effective deep ensemble hashing for open-set palmprint recognition,” Journal of Electronic Imaging, vol. 29, no. 01, pp. 1–19, 2020.

2019

[53] C. Liu, H. Shao, D. Zhong and J. Du, "Siamese-Hashing Network for Few-Shot Palmprint Recognition," in 2019 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019), 2019.

[52] D. Cao, Z. Qin, R. Liu, Y. Yang, and D. Zhong, “A Rear-end Collision Warning Algorithm based on Vehicular Communication,” in 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019.

[51] H. Shao, and D. Zhong, "Few-shot palmprint recognition via Graph Neural Networks," Electronics Letters, vol. 55, no. 16, pp. 890-892, 2019.

[50] 钟德星, 朱劲松, 杜学峰, “掌纹识别研究进展综述,” 模式识别与人工智能, 2019, 32(05):436-445.

[49] X. Du, D. Zhong, and H. Shao, "Continual palmprint recognition without forgetting," in 2019 IEEE International Conference on Image Processing (ICIP), 2019.

[48] X. Du, D. Zhong, and H. Shao, "Building an active palmprint recognition system," in 2019 IEEE International Conference on Image Processing (ICIP), 2019.

[47] H. Shao, D. Zhong, and X. Du, "Cross-domain Palmprint Recognition Based on Transfer Convolutional Autoencoder," in 2019 IEEE International Conference on Image Processing (ICIP), 2019.

[46] D. Zhong, H. Shao, and X. Du, "A Hand-based Multi-biometrics via Deep Hashing Network and Biometric Graph Matching," IEEE Transactions on Information Forensics and Security (TIFS), vol. 14, pp. 3140-3150, 2019.

[45] H. Shao, X. Du, D. Zhong, "Efficient Deep Palmprint Recognition via Distilled Hashing Coding," in the CVPR 2019 Workshop: CEFRL, 2019.

[44] X. Du, D. Zhong, and P. Li, " Low-Shot Palmprint Recognition Based on Meta-Siamese Network," in 2019 IEEE International Conference on Multimedia & Expo (ICME), 2019.

[43] H. Shao, D. Zhong, and Y. Li, "PALMGAN for Cross-domain Palmprint Recognition," in 2019 IEEE International Conference on Multimedia Expo (ICME), 2019.

[42] D. Zhong, and J. Zhu, “Centralized Large Margin Cosine Loss for Open Set Deep Palmprint Recognition,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 6, pp. 1559-1568, 2019.

[41] D. Zhong, H. Shao, and S. Liu, "Towards application of hand dorsal vein recognition under uncontrolled environment based on biometric graph matching," IET Biometrics, vol. 8, no. 2, pp. 159-167, 2019.

[40] D. Zhong, X. DU, and K. Zhong, “Decade progress of palmprint recognition: A brief survey,” Neurocomputing, vol. 328, pp. 16-28, 2019.

2018

[39] D. Zhong, S. Liu, W. Wang, X. Du, Hand Dorsal Vein Recognition Based on Deep Hash Network, in First Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2018), pp. 26-37.

[38] D. Zhong, H. Shao, Y. Liu, Hand Dorsal Vein Recognition Based on Deep Hash Network, in First Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2018), pp. 26-37.

[37] D. Zhong, Y. Yang, X. Du, Palmprint Recognition Using Siamese Network, in 13th Chinese Conference on Biometric Recognition, CCBR 2018, pp.48-55.

[36] 钟德星, 杨元, 刘瑞玲, 韩九强，“基于单目视觉的装配机器人研究及应用,” 西安交通大学学报, 2018, 52(05):86-92.

[35] 郑涛, 钟德星,“燃气热水器恒温性能的优化与提升，”家电科技,2018, No.388(05):78-83.

[34] D. Zhong, M. Li, H. Shao, and S. Liu, "Palmprint And Dorsal hand Vein Dualmodal Biometrics," in 2018  IEEE  International Conference on Multimedia & Expo Workshops (ICMEW), pp. 1-6

[33] 钟德星，杜学峰，“掌纹识别近十年进展综述，”CCF计算机视觉专委简报

2017

[32] J. Han, R. Li, X. Zhang, H. Lv, and D. Zhong, A Computational Method for Identification of Disease-associated Non-coding SNPs in 2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS). pp. 125-129

[31] R. Li et al., "A novel method for in silico identification of regulatory SNPs in human genome," Journal of Theoretical Biology, vol. 415, pp. 84-89, Feb 21 2017.

[30] Y. Ma, R. Liu, H. Lv, J. Han, D. Zhong, and X. Zhang, "A computational method for prediction of matrix proteins in endogenous retroviruses," Plos One, vol. 12, no. 5, May 4 2017, Art. no. e0176909.

[29] S. Wu, J. Han, X. Zhang, D. Zhong, and R. Liu, "A computational model for predicting integrase catalytic domain of retrovirus," Journal of Theoretical Biology, vol. 423, pp. 63-70, Jun 21 2017.

2016

[28] Z. Ren, C. He, D. Zhong, S. Huang, and Y. Liang, in 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 3441-3447.

[27] D. Zhong, X. Zhang, H. Sun, Z. Ren, and J. Han, "A Vision-Based Auxiliary System of Multirotor Unmanned Aerial Vehicles for Autonomous Rendezvous and Docking," in 2016 International Joint Conference on Neural Networks (IJCNN), 2016.

[26] R. Liu, D. Zhong, H. Lyu, and J. Han, "A Bevel Gear Quality Inspection System Based on Multi-Camera Vision Technology," Sensors, vol. 16, no. 9, Sep 2016, Art. no. 1364.

2015

[25] X. Y. Zhang N, Zhang B, Zhang T, Yang H, et al., "Analysis of Interleukin-8 Gene Variants Reveals Their Relative Importance as Genetic Susceptibility Factors for Chronic Periodontitis in the Han Population," PLoS ONE, vol. 9, no. 8, p. e104436, 2014.

[24] D. Zhong, Z. Xie, Y. Li, and J. Han, “Loose L-1/2 regularised sparse representation for face recognition,” IET Computer Vision, vol. 9, no. 2, pp. 251-258, 2015.

2014

[23] H. Lv, J. Han, J. Liu, J. Zheng, D. Zhong, and R. Liu, "ISDTool: A computational model for predicting immunosuppressive domain of HERVs," Computational Biology and Chemistry, vol. 49, pp. 45-50, Apr 2014.

[22] H. J. Lv H, Liu J, Zheng J, Liu R, Zhong D., "CarSPred: A Computational Tool for Predicting Carbonylation Sites of Human Proteins," PLoS ONE, vol. 9, no. 10, p. e111478, 2014.

[21] Q. Wei, D. Zhong, and J. Han, "Improved localisation method based on multi-hop distance unbiased estimation," IET Communications, Available: http://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.0263

[20] D. Zhong, Z. Xie, Y. Li, and J. Han, "Loose L1/2 regularised sparse representation for face recognition," IET Computer Vision. doi: 10.1049/iet-cvi.2014.0114 Available: http://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2014.0114

[19] S. Zhang, J. Han, D. Zhong, R. Liu, and J. Zheng, "Genome-wide identification and predictive modeling of lincRNAs polyadenylation in cancer genome," Computational Biology and Chemistry, vol. 52, pp. 1-8, 2014.

[18] D. X. Zhong, H. Q. Lv, J. Q. Han, and Q. R. Wei, "A Practical Application Combining Wireless Sensor Networks and Internet of Things: Safety Management System for Tower Crane Groups," Sensors, vol. 14, no. 8, pp. 13794-13814, Aug 2014.

[17] H. Q. Lv, J. Q. Han, J. Liu, J. G. Zheng, D. X. Zhong, and R. L. Liu, "ISDTool 2.0: A computational model for predicting immunosuppressive domain of retroviruses," Journal of Theoretical Biology, vol. 360, pp. 78-82, Nov 2014.

[16] 刘瑞玲, 钟德星, and 韩九强, "汽车伞齿轮多目视觉检测系统与算法," 西安交通大学学报, vol. 04, pp. 1-7, 2014.

2013

[15] 钟德星, 魏鑫, and 韩九强, "培养高层次认知能力的工程教育模式研究," 电气电子教学学报, vol. 04, pp. 1-2+9, 2013

[14] J. Han, Z. Liu, D. Zhong, and T. Wang, "A Hybrid Model for the Prediction of mRNA Polyadenylation Signals " in 35th Annual International Conference of the IEEE EMBS, pp. 3511-3514.

[13] S. Zhang, J. Han, D. Zhong, and T. Wang, "Analysis of Selective Constraints on Mitochondrial DNA, Flight Ability and Physiological Index on Avian," in 35th Annual International Conference of the IEEE EMBS, pp. 1498-1501.

[12] R. Zhou, D. Zhong, and J. Han, "Fingerprint Identification Using SIFT-Based Minutia Descriptors and Improved All Descriptor-Pair Matching," Sensors, vol. 13, no. 3, pp. 3142-3156, Mar 2013.

[11] Y. Cui, J. Han, D. Zhong, and R. Liu, "A novel computational method for the identification of plant alternative splice sites," Biochemical and Biophysical Research Communications, vol. 431, no. 2, pp. 221-224, Feb 8 2013.

2012

[10] D. Zhong, J. Han, Y. Liu, and S. Li, "Graph Embedding Algorithms Based on Neighborhood Discriminant Embedding for Face Recognition," International Journal of Computer Information Systems and Industrial Management Applications, vol. 4, no. 2012, pp. 374-382, 2012.

[9] Q. Wei, J. Han, D. Zhong, and R. Liu, "An Improved Multihop Distance Estimation for DV-Hop Localization Algorithm in Wireless Sensor Networks," in Vehicular Technology Conference (VTC Fall), pp. 1-5: IEEE.

[8] D. Zhong, P. Zhu, J. Han, and S. Li, "An improved Robust Sparse Coding for Face Recognition with Disguise," International Journal of Advanced Robotic Systems, vol. 9, Oct 12 2012, Art. no. 126.

2011

[7] 李巍, 韩九强, and 钟德星, "基于运动预测与动态通信能量调整的移动WSN路由选择算法," 传感技术学报, vol. 12, pp. 1761-1766, 2011

[6] D. Zhong, W. Ji, Y. Liu, J. Han, and S. Li, "An improved routing algorithm of Zigbee wireless sensor network for smart home system," in 5th International Conference on Automation, Robotics and Applications, pp. 346-350: IEEE

2010

[5] J. Han, D. Zhong, X. Zhang, and Y. Liu, "Two-Dimensional Robust Neighborhood Discriminant Embedding in face recognition," in 2010 International Conference of Soft Computing and Pattern Recognition, pp. 253-258: IEEE.

[4] D. Zhong, J. Han, X. Zhang, and Y. Liu, "Neighborhood discriminant embedding in face recognition," Optical Engineering, vol. 49, no. 7, pp. 077203-7, 2010.

2009

[3] D. Zhong, J. Han, and Y. Liu, "Bilinear Neighborhood Discriminant Embedding and Its Non-Iterative Solution Algorithm," in 2009 2nd International Congress on Image and Signal Processing, pp. 1-5: IEEE.

[2] M. Ehsani, T. Grift, J. Maja, and D. Zhong, "Two fruit counting techniques for citrus mechanical harvesting machinery," Computers and Electronics in Agriculture, vol. 65, no. 2, pp. 186-191, 2009.

[1] D. Zhong, J. Novais, T. Grift, M. Bohn, and J. Han, "Maize root complexity analysis using a support vector machine method," Computers and Electronics in Agriculture, vol. 69, no. 1, pp. 46-50, 2009