個(gè)人簡(jiǎn)介:康莉,副教授,碩士生導(dǎo)師。2008年畢業(yè)于西安電子科技大學(xué),獲信息與通信工程專業(yè)博士學(xué)位,2009-2013年在深圳大學(xué)做博士后研究,2013年起在深圳大學(xué)工作至今,深圳市高層次人才。主持國(guó)家、省、市級(jí)項(xiàng)目四項(xiàng),主要完成人參與國(guó)家項(xiàng)目三項(xiàng),發(fā)表論文50余篇,獲國(guó)家發(fā)明專利、國(guó)防發(fā)明專利以及美國(guó)發(fā)明專利7項(xiàng)。
主要從事信號(hào)與信息處理等領(lǐng)域的教學(xué)和科研工作,近年來(lái)重點(diǎn)關(guān)注智能信息處理技術(shù)、DSP技術(shù)等在低空、超低空防空預(yù)警和通用航空飛行器監(jiān)視等領(lǐng)域的應(yīng)用研究,醫(yī)學(xué)影像的智能分析處理等,完成了國(guó)家科技支撐計(jì)劃項(xiàng)目“通用航空綜合運(yùn)行支持系統(tǒng)”和深圳市科技計(jì)劃項(xiàng)目"基于貝葉斯壓縮感知的無(wú)線傳感器網(wǎng)絡(luò)數(shù)據(jù)壓縮方法"、廣東省自然科學(xué)基金"城市低空目標(biāo)多源協(xié)同探測(cè)關(guān)鍵技術(shù)研究"等課題,突破了低空目標(biāo)的多傳感器組網(wǎng)信息融合、目標(biāo)檢測(cè)、目標(biāo)識(shí)別和目標(biāo)跟蹤和精確定位等多項(xiàng)關(guān)鍵技術(shù)和裝備。
研究興趣:目標(biāo)檢測(cè)與跟蹤、醫(yī)學(xué)影像智能分析
教授課程:微型計(jì)算機(jī)技術(shù)、數(shù)字信號(hào)處理
研究生招生方向:智能信息處理,醫(yī)學(xué)影像智能處理
主持項(xiàng)目:
(1)基于深度學(xué)習(xí)的兒童及青少年原發(fā)性癲癇腦MRI研究,81960312,國(guó)家自然科學(xué)基金,2020.1-2023.12。
(2)城市低空目標(biāo)多源協(xié)同探測(cè)關(guān)鍵技術(shù)研究。2018A030310511,廣東省自然科學(xué)基金,2018.1.1-2020.12.31..
(3)基于貝葉斯壓縮感知的無(wú)線傳感器網(wǎng)絡(luò)數(shù)據(jù)壓縮方法,JCYJ201503241471711674,深圳市科技創(chuàng)新計(jì)劃,2015.8-2017.8.
參與項(xiàng)目:
(1)通用航空綜合運(yùn)行支持系統(tǒng),2011BAH24B12,國(guó)家科技支撐計(jì)劃,2010.12-2014.12
近年來(lái)發(fā)表的主要論文:
[1] Jingwan Jiang, Li Kang*, Jianjun Huang, Tijiang Zhang. Deep learning based mild cognitive impairment diagnosis using structure MR images. Neuroscience Letters,730(2020): 1-7.
[2] Li Kang, Jingwan Jiang, Jianjun Huang, Tijiang Zhang. Identifying Early Mild Cognitive Impairment by Multi-modality MRI-based Deep Learning. Frontiers in Aging Neuroscience, 2020, 12:206.
[3] Jianjun Huang, Jiahui Xu, Li Kang*, Tijiang Zhang. Identifying Epilepsy Based on Deep Learning Using DKI Images. Frontiers in Human Neuroscience, 2020, 14(11): 465-473.
[4] Li Kang, Jingwan Jiang, Jianjun Huang, Dequ Huang. Retinal Image Synthesis with a Double Stage GAN. Journal of Medical Imaging and Health Informatics.2021, 11(9):2383-2391.
[5] 周子棋, 康莉*, 黃建軍. 多站點(diǎn)新冠肺炎肺部CT圖像的三維深度卷積分割. 信號(hào)處理, 2021, Vol. 37 (11): 2178-2184.
[6] Li Kang, Ziqi Zhou, Jianjun Huang, Wenzhong Han. Renal tumor segmentation in abdomen CT images using 3D-CNN and ConvLSTM. Biomedical signal processing and control, 2022, 72,103334:1-16.
[7] Li Kang, Jin Chen, Jianjun Huang, Tijiang Zhang, Jiahui Xu. Identifying Epilepsy based on Machine Learning Technique with Diffusion Kurtosis Tensor. CNS Neuroscience & Therapeutics, 2022, 28(3): 354-363.
[8] Li Kang, Guojuan Liu, Jianjun Huang, Jianping Li. Super-Resolution Method for MRI Images Based on Multi-resolution CNN. Biomedical signal processing and control, 2022, 72,103372:1-7.
[9] Hao Liang, Li Kang*, Jianjun Huang. A Robust Low-Rank Matrix Completion Based on Truncated Nuclear Norm and Lp-norm. Journal of Supercomputing, 2022, 78:12950-12972.
[10] Holger R. Roth, …, Li Kang, et al. Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Analysis, 2022, 82:1-12.
[11] Li Kang, Jin Chen, Jianjun Huang, Jingwan Jiang. Autism Spectrum Disorder Recognition based on Multi-view Ensemble Learning with Multi-site fMRI. Cognitive Neurodynamics, 2023, 17(2): 345-355.
[12] Jianjun Huang, Zihao Rui, Li Kang*. FedISP: An Incremental Subgradient-Proximal-Based Ring-Type Architecture for Decentralized Federated Learning. Complex & Intelligent Systems, 2024, 10:2499-2514.
[13] Li Kang, Zhiwei Lu, Lingyu Meng, Zhijian Gao. YOLO-FA: Type-1 Fuzzy Attention based YOLO Detector for Vehicle Detection. Expert Systems with Applications, 2024, (237):121209.
[14] Jianjun Huang, Haoqiang Hu, Li Kang*. Time Convolutional Network-Based Maneuvering Target Tracking with Azimuth-Doppler Measurement. Sensors, 2024, 24, 263.
[15] Li Kang, Bin Tang, Jianjun Huang, Jianping Li. 3D-MRI super-resolution reconstruction using multi-modality based on multi-resolution CNN. Computer Methods and Programs in Biomedicine, 2024, 248(108110): 1-9.
[16] Li Kang, Bin Luo, Jianjun Huang. Improving the learning performance of client’s local distribution in cyclic federated learning. Image Analysis & Stereology, 2024, 43: 1-8.
[17] Jingyin Lin, Wende Xie, Li Kang*, Huisi Wu. Dynamic-guided Spatiotemporal Attention for Echocardiography Video Segmentation. IEEE Transactions on Medical Imaging, 2024,43(11): 3843-3855.
[18] Li Kang, Jianbin Ding, Jianjun Huang, Hao Huang, Mixed Quantization of One-bit and Full-precision Signals for Direction of Arrival Estimation. ICSP2024.
[19] Jianjun Huang, Xuehao Geng, Li Kang*, Ge Luo. Deep Fuzzy System for Dual-Station Target Tracking with Azimuth and Doppler Measurements. IEEE Transactions on Fuzzy systems, 2025.
[20] Li Kang, Mubin Chen, Jianjun Huang, Jinyang Xu. Identifying autism spectrum disorder based on machine learning for multi-site fMRI. Journal of Neuroscience methods, 416(2025), 110379.
[21] Li Kang, Chuanghong Zhao, Jianjun Huang. Object Re-Identification Based on Federated Incremental Subgradient Proximal. IEEE Open Journal of Computer Society, vol. 6, pp. 60-71, 2025, doi: 10.1109/OJCS.2024.3489875.
[22] Li Kang, Xinxin Song, Jianjun Huang. MRI Super-Resolution Reconstruction Based on 3D Dense Connected Convolutional Autoencoders. Biomedical signal Processing and Control, 2025.
更新于2025/2/26