1、個(gè)人基本信息：

姓  名：鄺利丹

性  別：女

出生年月：1989.07

技術(shù)職稱：副教授

畢業(yè)院校：大連理工大學(xué)

學(xué)歷（學(xué)位）：博士

所在學(xué)科：信號(hào)與信息處理

研究方向：盲源分離、腦信號(hào)處理（fMRI、fNIRS）、計(jì)算機(jī)視覺(jué)

2、教育背景：

2008.09----2012.06

湘潭大學(xué)

學(xué)士

2012.09----2018.10

大連理工大學(xué)

博士（碩博連讀）

3、 目前研究領(lǐng)域：

1） 基于盲源分離方法的多被試fMRI和fNIRS數(shù)據(jù)組分析；

2） 腦功能信號(hào)提取與改變分析；

3） 目標(biāo)檢測(cè)和跟蹤。

4、已完成或已在承擔(dān)的主要課題：

主持國(guó)家自然科學(xué)基金青年項(xiàng)目1項(xiàng)，湖南省自然科學(xué)基金面上項(xiàng)目1項(xiàng)、青年項(xiàng)目1項(xiàng)，湖南省教育廳優(yōu)秀青年項(xiàng)目1項(xiàng)、一般項(xiàng)目1項(xiàng)；作為主要成員參與國(guó)家自然科學(xué)基金項(xiàng)目多項(xiàng)：

1） 基于耦合張量分解的高維多被試復(fù)數(shù)fMRI數(shù)據(jù)分析，國(guó)家自然科學(xué)基金青年項(xiàng)目，61901061，2020.1-2022.12，24.5萬(wàn)元，主持，已結(jié)題。

2） 基于張量分解的復(fù)值fMRI動(dòng)態(tài)功能連接分析研究，湖南省自然科學(xué)基金面上項(xiàng)目，2025JJ50394，2025.1-2027.12，5萬(wàn)元，主持，在研。

3） 基于張量分解的復(fù)值靜息態(tài)fMRI功能連接分析，湖南省教育廳科學(xué)研究?jī)?yōu)秀青年項(xiàng)目，22B0341，2022.1-2024.6，6萬(wàn)元，主持，已結(jié)題。

4） 基于聯(lián)合盲源分離的多被試復(fù)值fMRI 數(shù)據(jù)分析，湖南省自然科學(xué)基金青年項(xiàng)目，2020JJ5603，2020.1-2023.12，5萬(wàn)元，主持，已結(jié)題。

5） 基于張量分解的高維多被試復(fù)數(shù)fMRI數(shù)據(jù)組分析方法研究，19C0031，湖南省教育廳科學(xué)研究一般項(xiàng)目，2019-2021，1萬(wàn)元，主持。

6） 基于異構(gòu)數(shù)據(jù)融合的網(wǎng)絡(luò)異常檢測(cè)方法研究，62272062，國(guó)家自然科學(xué)基金面上項(xiàng)目，2023.1-2026.12，主要參與，在研。

7） 視覺(jué)跟蹤中目標(biāo)深度表觀模型的學(xué)習(xí)與更新方法研究，61972056，國(guó)家自然科學(xué)基金面上項(xiàng)目，2020.1-2023.12，主要參與，在研。

8） 空間源相位約束下完備復(fù)數(shù)fMRI數(shù)據(jù)的稀疏表示，61871067，國(guó)家自然科學(xué)基金面上項(xiàng)目，2019.1 - 2022.12，主要參與，在研。

9） 基于耦合張量分解的多數(shù)據(jù)集聯(lián)合盲分離方法研究，61671106，國(guó)家自然科學(xué)基金面上項(xiàng)目，2017.1 - 2020.12，主要參與，在研。

10） 基于復(fù)值ICA和張量分解的完備fMRI數(shù)據(jù)分析方法研究，61379012，國(guó)家自然科學(xué)基金面上項(xiàng)目，2014.1 - 2017.12，主要參與，完成。

6、已發(fā)表的學(xué)術(shù)論文：

[1] Kuang LD (鄺利丹), Zhang HP, Zhu H, He S, Li W, Gui Y, Zhang J, Zhang J. “Shift-invariant rank-(L, L, 1, 1) BTD with 3D spatial pooling and orthonormalization: Application to multi-subject fMRI data,” Biomedical Signal Processing and Control, vol. 92, article no. 106058, 2024. (SCI二區(qū)，IF: 4.9)

[2] Kuang LD (鄺利丹), Li HQ, Zhang J, Gui Y, Zhang J. “Dynamic functional network connectivity analysis in schizophrenia based on a spatiotemporal CPD framework,” Journal of Neural Engineering, vol. 21, article no. 016032, 2024. (SCI三區(qū)，IF: 3.7)

[3] Kuang LD (鄺利丹), Lin QH, Gong XF, Zhang J, Li W, Li F, Calhoun VD. “Constrained CPD of complex-valued multi-subject fMRI data via alternating rank-R and rank-1 least squares,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 2630-2640, 2022. (SCI二區(qū)，IF: 5.4 )

[4] Kuang LD (鄺利丹), He ZM, Zhang J, Li F. “Coupled canonical polyadic decomposition of multi-group fMRI data with spatial reference and orthonormality constraints,” Biomedical Signal Processing and Control, vol. 80, no. 1, article no. 104232, 2023. (SCI二區(qū)，IF: 4.9)

[5] Kuang LD (鄺利丹), Lin QH, Gong XF, Cong F, Wang YP, Calhoun VD. “Shift-invariant canonical polyadic decomposition of complex-valued multi-subject fMRI data with phase sparsity constraint,” IEEE Transactions on Medical Imaging, vol. 39, no. 4, pp. 844-853, 2020. (SCI一區(qū)，IF: 11.3)

[6] Kuang LD (鄺利丹), Lin QH, Gong XF, Cong F, Sui J, Calhoun VD. “Model order effects on ICA of resting-state complex-valued fMRI data: Application to schizophrenia,” Journal of Neuroscience Methods, vol. 304, pp. 24?38, 2018. (SCI四區(qū)，IF: 2.7)

[7] Kuang LD (鄺利丹), Lin QH, Gong XF, Cong F, Calhoun VD. “Adaptive independent vector analysis for multi-subject complex-valued fMRI data,” Journal of Neuroscience Methods, vol. 281, pp. 49?63, 2017. (SCI四區(qū)，IF: 2.7)

[8] Kuang LD (鄺利丹), Lin QH, Gong XF, Cong F, Sui J, Calhoun VD. “Multi-subject fMRI analysis via combined independent component analysis and shift-invariant canonical polyadic decomposition,” Journal of Neuroscience Methods, vol. 256, pp. 127–140, 2015. (SCI四區(qū)，IF: 2.7)

[9] Han Y, Lin QH, Kuang LD (鄺利丹), Gong XF, Cong F, Wang YP, Calhoun VD. “Low-rank Tucker-2 model for multi-subject fMRI data decomposition with spatial sparsity constraint,” IEEE Transactions on Medical Imaging, vol. 41, no. 3, pp. 667-679, 2022. (IF: 11.3)

[10] Li WX, Lin QH, Zhao BH, Kuang LD (鄺利丹), Zhang CY, Han Y, Calhoun VD, “Dynamic functional network connectivity based on spatial source phase maps of complex-valued fMRI data: Application to schizophrenia,” Journal of Neuroscience Methods, vol. 403, article no. 110049, 2024. (SCI四區(qū)，IF: 2.7)

[11] Qiu Y, Lin QH, Kuang LD (鄺利丹), Gong XF, Cong F, Wang YP, Calhoun VD. “Spatial source phase: A new feature for identifying spatial differences based on complex-valued resting-state fMRI data,” Human Brain Mapping, vol. 40, pp. 2662-2676, 2019. (SCI二區(qū)，IF: 4.7)

[12] Zhang CY, Lin QH, Kuang LD (鄺利丹), Li, WX, Gong XF, Calhoun VD. “Sparse representation of complex-valued fMRI data based on spatiotemporal concatenation of real and imaginary parts, ” Journal of Neuroscience Methods, vol. 351, 109047, 2021. (SCI四區(qū)，IF: 2.7)

[13] Yu MC, Lin QH, Kuang LD (鄺利丹), Gong XF, Cong F, Calhoun VD. “ICA of full complex-valued fMRI data using phase information of spatial maps,” Journal of Neuroscience Methods, vol. 249, pp. 75?91, 2015. (SCI四區(qū)，IF: 2.7)

[14] Cong F, Lin QH, Kuang LD (鄺利丹), Gong XF, Astikanen P, Ristaniemi T. “Tensor decompoistion of EEG signals: A brief review, ” Journal of Neuroscience Methods, vol. 248, pp. 59–69, 2015. (SCI四區(qū)，IF: 2.7)

國(guó)際會(huì)議論文（全部EI檢索）：

[15] Kuang LD (鄺利丹), Wang B, Lin QH, Zhang HP, Zhang J, Li W, Li F, Calhoun VD. “An accelerated rank-(L,L,1,1) block term decomposition of multi-subject fMRI data under spatial orthonormality constraint,” in Proc. 47th IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2022), Singapore, pp. 856–860, 2022. (信號(hào)處理領(lǐng)域頂級(jí)會(huì)議，CCF推薦會(huì)議B類，口頭報(bào)告)

[16] Kuang LD (鄺利丹), Hao-Peng Zhang, Jianming Zhang. “Weighted spatial pooling preprocessing for rank-( L,L,1,1) BTD with orthonormality: application to multi-subject fMRI data,” in IEEE International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Australia, 2023. (CCF推薦會(huì)議C類，口頭報(bào)告)

[17] Kuang LD (鄺利丹), Gui Y, Li W. “Optimizing pcsCPD with alternating rank-R and rank-1 least squares: application to complex-valued multi-subject fMRI data,” in Proc 29th International Conference on Neural Information Processing (ICONIP 2022), New Delhi, India, 2022. (CCF推薦會(huì)議C類，口頭報(bào)告)

[18] Kuang LD (鄺利丹), He ZM. “Coupled shift-invariant tensorial spatial ICA applied to multi-group complex-valued task-related and resting-state fMRI data,” in International Conference on Image, Vision and Computing (ICIVC 2022), Xi’an, China, pp. 468-472, 2022. (EI會(huì)議，口頭報(bào)告)

[19] Kuang LD (鄺利丹), Tao JJ, Zhang J, Li F. “A novel multi-scale key-point detector using residual dense block and coordinate attention,” in International Conference on Neural Information Processing (ICONIP 2021), Bali, Indonesia, pp. 235-246, 2021. (CCF推薦會(huì)議C類，口頭報(bào)告)

[20] Kuang LD (鄺利丹), Lin QH, Gong XF, Cong F, Calhoun VD. “Post-ICA phase de-noising for resting-state complex-valued FMRI data,” in Proc. 42nd IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2017), New Orleans, USA, pp. 856–860, 2017. (信號(hào)處理領(lǐng)域頂級(jí)會(huì)議，CCF推薦會(huì)議B類，口頭報(bào)告)

[21] Kuang LD (鄺利丹), Lin QH, Gong XF, Chen YG, Cong F, Calhoun VD. “Model order effects on independent vector analysis applied to complex-valued fMRI data,” in Proc. 14th IEEE Int. Symposium on Biomedical Imaging (ISBI 2017), Melbourne, Australia, pp. 81–84, 2017. (醫(yī)學(xué)圖像處理領(lǐng)域頂級(jí)會(huì)議)

[22] Kuang LD (鄺利丹), Lin QH, Gong XF, Cong F, Calhoun VD. “An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued fMRI data,” in Proc. 41st IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP2016), Shanghai, China, pp. 714–718, 2016. (信號(hào)處理領(lǐng)域頂級(jí)會(huì)議，CCF推薦會(huì)議B類，口頭報(bào)告)

[23] Kuang LD (鄺利丹), Lin QH, Gong XF, J. Fan, Cong F, Calhoun VD. “Multi-subject fMRI data analysis: Shift-invariant tensor factorization vs. group independent component analysis,” in Proc. 1st IEEE China Summit and Int. Conf. Signal and Information Processing (ChinaSIP2013), Beijing, China, pp. 269–272, 2013. (IEEE會(huì)議，口頭報(bào)告)

[24] Li WX, Zhang CY, Kuang LD (鄺利丹), Han Y, Li HJ, Lin QH, Calhoun VD. “Marginal spectrum modulated hilbert-huang transform: application to time courses extracted by independent vector analysis of resting-state fMRI data,” in International Conference on Neural Information Processing (ICONIP 2021), Bali, Indonesia, pp. 235-246, 2021. (CCF推薦會(huì)議C類，口頭報(bào)告)

[25] Niu YW, Lin QH, Qiu Y, Kuang LD (鄺利丹), Calhoun VD. “Sample augmentation for classification of schizophrenia patients and healthy controls using ICA of fMRI data and convolutional neural networks,” In 2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP 2019), Marrakech, Morocco, pp. 297-302, 2021. (IEEE會(huì)議，口頭報(bào)告)

[26] Qiu Y, Lin QH, Kuang LD (鄺利丹), Zhao WD, Gong XF, Cong F, Calhoun VD. “Classification of schizophrenia patients and healthy controls using ICA of complex-valued fmri data and convolutional neural networks,” in Proc. 16th International Symposium on Neural Networks (ISNN 2019), Moscow, Russia, pp. 540-547, 2019. (IEEE會(huì)議，口頭報(bào)告)

中國(guó)發(fā)明專利：

[27] 鄺利丹, 林秋華, 龔曉峰, 叢豐裕, 一種適于多被試fMRI數(shù)據(jù)分析的快速移不變CPD方法, 專利號(hào)ZL201811510882.0, 2022.5.6, 已授權(quán).

[28] 鄺利丹, 林秋華, 張經(jīng)宇, 龔曉峰, 叢豐裕. 多被試復(fù)數(shù)fMRI 數(shù)據(jù)移不變CPD分析方法，專利號(hào)ZL201910168387.4, 2022.7.19, 已授權(quán).

[29] 鄺利丹, 陶家俊, 張建明. 一種結(jié)合殘差密集塊與位置注意力的無(wú)錨框目標(biāo)檢測(cè)方法，專利號(hào)ZL20211073165.9, 2023.2.28, 已授權(quán).

[30] 林秋華, 鄺利丹, 龔曉峰, 叢豐裕, 一種用于多被試fMRI數(shù)據(jù)分析的分組張量方法,專利號(hào)ZL201410126455.8, 2017.1.18, 已授權(quán).

[31] 林秋華, 鄺利丹, 龔曉峰, 叢豐裕, 一種結(jié)合獨(dú)立成分分析與移不變規(guī)范多元分解的多被試功能核磁共振成像數(shù)據(jù)分析方法, 專利號(hào)ZL201510510622.3, 2018.1.16, 已授權(quán).

[32] 林秋華, 鄺利丹, 龔曉峰, 叢豐裕, 一種適于多被試復(fù)值fMRI數(shù)據(jù)分析的自適應(yīng)定點(diǎn)IVA算法, 專利號(hào)ZL201610165248.2, 2016.6.8, 已授權(quán).

[33] 林秋華, 鄺利丹, 龔曉峰, 叢豐裕, 對(duì)靜息態(tài)復(fù)值fMRI數(shù)據(jù)進(jìn)行ICA后處理消噪的相位精確范圍檢測(cè)方法, 專利號(hào)ZL201710116707.2, 2017.3.1, 已授權(quán).

[34] 鄺利丹, 龍磊, 一種空間壓縮多被試fMRI的交替秩R和秩1移不變CPD算法, 專利號(hào) ZL202211552769.5, 2022.12.6, 已公開(kāi).

科研獎(jiǎng)勵(lì)：

[35] 鄺利丹, 林秋華, 龔曉峰, 叢豐裕, 2017年遼寧省優(yōu)秀論文三等獎(jiǎng), 2017.09.19

[36] 鄺利丹, 林秋華, 龔曉峰, 叢豐裕, 2016年遼寧省優(yōu)秀論文三等獎(jiǎng), 2016.07.29

[37] 鄺利丹, 林秋華, 龔曉峰, 叢豐裕, 2016年大連市優(yōu)秀論文三等獎(jiǎng), 2016.07.26

7、 所獲學(xué)術(shù)榮譽(yù)及學(xué)術(shù)影響：