个人简介：刘克飞，中国科大苏州高等研究院特任副研究员。2006年在武汉大学数学与应用数学系获得理学学士学位，2013 年在香港城市大学电子工程系获得博士学位。博士毕业后先在美国密歇根大学叶杰平教授团队做博士后，后在美国宾夕法尼亚大学任助理研究员。他的一般研究兴趣是开发新的机器学习和统计算法来解决生物医学应用中的实际问题。目前的研究着眼于利用知识引导的典型相关分析（knowledge-guided canonical correlation analysis）和正则化技术对基因组学和多模态影像数据进行整合分析，进行疾病预测和生物标志物识别。曾在信号处理、机器学习和生物信息学领域的著名期刊（IEEE Transactions on Signal Processing，Medical Image Analysis，Bioinformatics等）和国际会议（ICASSP/ EUSIPCO/MICCAI/ISBI/BIBM/IPMI等）上发表论文 60 余篇（包括10篇一作SCI 期刊论文和11篇一作国际会议论文），其中一项研究成果（利用多任务典型相关分析模型分析大脑多模态影像基因组数据）获得第十二届IEEE国际生物信息学和生物医学会议 （BIBM 2018）最佳论文奖。此外，刘博士还长期担任信号处理、机器学习、生物信息学领域的顶级会议（NeurIPS/ICML/ICLR/AAAI/IJCAI/KDD/SDM/MICCAI/BIBM等）和期刊（IEEE TSP/TPAMI/TMI，Pattern Recognition，Medical Image Analysis等）的程序委员会成员（Program Committee Member）和审稿人。

电子邮箱： kefeiliu@ustc.edu.cn

联系地址：中国科学技术大学苏州高等研究院明德楼A325

主要研究方向

 1. 机器学习：

- 预测建模（回归、分类等）

- 知识引导的典型相关分析（knowledge-guided canonical correlation analysis）

- 正则化技术，例如L1, L2, elastic net, graph Laplacian regularization

- 矩阵和张量方法（稀疏/低秩张量分解等）

- 优化理论与算法

- 贝叶斯建模和推理

2. 医学影像：

- 影像遗传学

- 整合基因组学和多模态影像数据进行疾病预测和生物标志物识别

获奖及荣誉

2018年 第十二届IEEE国际生物信息学和生物医学会议最佳论文奖 （BIBM 2018 Best Paper Award）

2012年 第四届国际超现代通信和控制系统会议最佳论文奖 （ICUMT 2012 Best Paper Award）

2013年 香港城市大学学费豁免奖学金（Research Tuition Scholarship）

2010-2013年 香港城市大学研究生奖学金（Research Studentship）

2009年 北京航空航天大学国防就业优秀毕业生奖学金

2009年 北京航空航天大学理学院优秀硕士学位论文

2005年 武汉大学乙等人民奖学金，武汉大学“优秀学生”

2004年 武汉大学国家奖学金，武汉大学“优秀学生”

2004-2006年 武汉大学第26、27和28届大学生学习竞赛《高等数学》二等奖、二等奖和一等奖

2005年 湖北省暨武汉地区外语翻译大赛非专业组笔译二等奖

学术论文及著作

 期刊论文:

1.   Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore, Qi Long, and Li Shen, "Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics," Medical Image Analysis, vol. 76, Feb. 2022, article no. 102297.

2.    Mansu Kim, Jingxuan Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Jae Young Baik, and Li Shen, "A structural enriched functional network: An application to predict brain cognitive performance," Medical Image Analysis, vol. 71, Jul. 2021, article no. 102026.

3.    Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, and Li Shen, "Multi-task sparse canonical correlation analysis with application to multi-modal brain imaging genetics," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 18, no. 1, pp. 227—239, Jan.—Feb. 2021.

4.    Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, and Li Shen, "Associating multi-modal brain imaging phenotypes and genetic risk factors via a dirty multi-task learning method," IEEE Transactions on Medical Imaging, vol. 39, no. 11, pp. 3416—3428, Nov. 2020.

5.    Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, and Li Shen, "Identifying diagnosis-specific genotype–phenotype associations via joint multitask sparse canonical correlation analysis and classification," Bioinformatics, vol. 36, no. Supplement_1, pp. i371—i379, Jul. 2020.

6.    Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, and Li Shen, "Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach," Medical Image Analysis, vol. 61, Apr. 2020, article no. 101656.

7.    Kefei Liu, Li Shen, and Hui Jiang, "Joint between-sample normalization and differential expression detection through L0-regularized linear regression," BMC Bioinformatics, vol. 20, suppl. 16, Dec. 2019, article no. 593.

8.    Lei Du, Kefei Liu, Lei Zhu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, and Li Shen, "Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: A longitudinal study of the ADNI cohort," Bioinformatics, vol. 35, no. 14, pp. i474—i483, Jul. 2019.

9.    Kefei Liu, Jieping Ye, Yang Yang, Li Shen, and Hui Jiang, "A unified model for joint normalization and differential gene expression detection in RNA-seq data," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 16, no. 2, pp. 442—454, Mar.—Apr. 2019.

10. Lei Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, and Li Shen, "A novel SCCA approach via truncated L1-norm and truncated group lasso for brain imaging genetics," Bioinformatics, vol. 34, no. 2, pp. 278—285, Jan. 2018.

11. Lei Du, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, and Li Shen, "Pattern discovery in brain imaging genetics via SCCA modeling with a generic non-convex penalty," Scientific Reports, vol. 7, Oct. 2017, article no. 14052.

12. Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, and Li Shen, "Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules," Bioinformatics, vol. 33, no. 20, pp. 3250—3257, Oct. 2017.

13. Kefei Liu, Hui Cao, Hing Cheung So, and Andreas Jakobsson, "Multi-dimensional sinusoidal order estimation using angles between subspaces," Digital Signal Processing, vol. 64, pp. 17—27, May 2017.

14. Lei Huang, Yuhang Xiao, Kefei Liu, Hing Cheung So, and Jian-Kang Zhang, "Bayesian information criterion for source enumeration in large-scale adaptive antenna array," IEEE Transactions on Vehicular Technology, vol. 65, no. 5, pp. 3018—3032, May 2016.

15. Kefei Liu, João Paulo C. L. da Costa, Hing Cheung So, Lei Huang, and Jieping Ye, "Detection of number of components in CANDECOMP/PARAFAC models via minimum description length," Digital Signal Processing, vol. 51, pp. 110—123, Apr. 2016.

16. Kefei Liu, Lei Huang, Hing Cheung So, and Jieping Ye, "Multidimensional folding for sinusoidal order selection," Digital Signal Processing, vol. 48, pp. 349—360, Jan. 2016.

17. Lei Huang, Jun Fang, Kefei Liu, Hing Cheung So, and Hongbin Li, "An eigenvalue-moment-ratio approach to blind spectrum sensing for cognitive radio under sample-starving environment," IEEE Transactions on Vehicular Technology, vol. 64, no. 8, pp. 3465—3480, Aug. 2015

18. Kefei Liu, João Paulo C. L. da Costa, Hing Cheung So, and André L. F. de Almeida, "Semi-blind receivers for joint symbol and channel estimation in space-time-frequency MIMO-OFDM systems," IEEE Transactions on Signal Processing, vol. 61, no. 21, pp. 5444—5457, Nov. 2013.

19. João Paulo C. L. da Costa, Kefei Liu, Hing Cheung So, Stefanie Schwarz, Martin Haardt, and Florian Roemer, "Multidimensional prewhitening for enhanced signal reconstruction and parameter estimation in colored noise with Kronecker correlation structure," Signal Processing, vol. 93, no. 11, pp. 3209—3226, Nov. 2013. [First two authors contributed equally.]

20. Kefei Liu, Hing Cheung So, João Paulo C. L. da Costa, Florian Roemer, and Lei Huang, "Efficient source enumeration for accurate direction-of-arrival estimation in threshold region," Digital Signal Processing, vol. 23, no. 5, pp. 1668—1677, Sept. 2013.

21. Kefei Liu, João Paulo C. L. da Costa, Hing Cheung So, and Lei Huang, "Subspace techniques for multi-dimensional model order selection in colored noise," Signal Processing, vol. 93, no. 7, pp. 1976—1987, Jul. 2013.

22. Kefei Liu, João Paulo C. L. da Costa, Hing Cheung So, Florian Roemer, Martin Haardt, and Luiz F. de A. Gadêlha, "3-D Unitary ESPRIT: Accurate attitude estimation for unmanned aerial vehicles with a hexagon-shaped ESPAR array," Digital Signal Processing, vol. 23, no. 3, pp. 701—711, May 2013.

23. 刘克飞，杨东凯，吴江，"Simulink implementation of frequency-hopping communication system," 系统仿真学报， 第21 卷第24 期，7969—7973页，2009 年12 月。

24. Sheng Hong, Dongkai Yang, Kefei Liu, Xiaoxiang He, and Manos M. Tentzeris, "Robust passive beamformer using bridge function sequences as weights," IEICE Electronics Express, vol. 6, no. 16, pp. 1192—1198, Aug. 2009.

25. 杨东凯，刘克飞，张其善，“基于桥函数的MC-CDMA系统线性多用户检测,” 遥测遥控，第30 卷第2 期，53—59页，2009 年3 月。

26. Kefei Liu, Shangwei Zhao, Meizhu Liu, "Solution of a class of minimal surface problem with obstacle," Journal of Mathematics Research, vol. 1, no. 1, pp. 39—45, Mar. 2009.

会议论文:

1.      Yixue Feng, Mansu Kim, Kefei Liu, Andrew J. Saykin, Jason H. Moore, Qi Long, and Li Shen, "Identifying multimodal imaging-driven subtypes in mild cognitive impairment using deep multiview learning," Alzheimer's Association International Conference (AAIC), Jul. 2021.

2.      Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, and Li Shen, "Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes," in AMIA Annual Symposium Proceedings 2020, Nov. 2020, pp. 422–-431.

3.      Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, and Li Shen, "Deep multiview learning to identify population structure with multimodal imaging," in Proc. IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), Cincinnati, OH, USA, Oct. 2020, pp. 308—314.

4.      Mansu Kim, Jingxaun Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, and Li Shen, "Structural connectivity enriched functional brain network using simplex regression with GraphNet," in Proc. 11th International Workshop on Machine Learning in Medical Imaging (MLMI), Lecture Notes in Computer Science vol. 12436, Lima, Peru, Oct. 2020, pp. 292—302.

5.      Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, and Xia Ning, "Prioritizing amyloid imaging biomarkers in Alzheimer's disease via learning to rank," in Proc. 4th International Workshop on Multimodal Brain Image Analysis, Lecture Notes in Computer Science vol. 11846, Shenzhen, China, Oct. 2019, pp. 139—148.

6.      Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, and Li Shen, "A dirty multi-task learning method for multi-modal brain imaging genetics," in Proc. 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, Oct. 2019, pp. 447—455.

7.      Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, and Li Shen, "Diagnosis status guided brain imaging genetics via integrated regression and sparse canonical correlation analysis," in Proc. IEEE 16th International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 2019, pp. 356—359.

8.      Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, and Li Shen, "Fast multi-task SCCA learning with feature selection for multi-modal brain imaging genetics," in Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, Spain, Dec. 2018, pp. 356—361. [acceptance rate: 19.6%]. 最佳论文奖

9.      Kefei Liu, Li Shen, and Hui Jiang, "A unified model for robust differential expression analysis of RNA-seq data," in Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, Spain, Dec. 2018, pp. 437—442. [acceptance rate: 19.6%]

10.   Jingwen Yan, Kefei Liu, Huang Li, Enrico Amico, Shannon L. Risacher, Yu-chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, and Li Shen, "Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model," in Proc. IEEE 15th International Symposium on Biomedical Imaging (ISBI), Washington, DC, USA, Apr. 2018, pp. 6—9.

11.   Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen, and Alzheimer's Disease Neuroimaging Initiative, "A fast SCCA algorithm for big data analysis in brain imaging genetics," in Proc. 3rd International Workshop on Imaging Genetics, MICGen 2017, Lecture Notes in Computer Science vol. 10551, Quebec City, Canada, Sept. 2017, pp. 210—219.

12.   Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen, and Alzheimer's Disease Neuroimaging Initiative, "Transcriptome-guided imaging genetic analysis via a novel sparse CCA algorithm," in Proc. 3rd International Workshop on Imaging Genetics, MICGen 2017, Lecture Notes in Computer Science vol. 10551, Quebec City, Canada, Sept. 2017, pp. 220—229.

13.   Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen, and Heng Huang, "Predicting interrelated Alzheimer's disease outcomes via new self-learned structured low-rank model," in Proc. 25th International Conference on Information Processing in Medical Imaging (IPMI), Lecture Notes in Computer Science vol. 10265, Boone, NC, USA, Jun. 2017, pp. 198—209. [acceptance rate: 33%]

14.   Lei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin et al, "Identifying associations between brain imaging phenotypes and genetic factors via a novel structured SCCA approach," in Proc. 25th International Conference on Information Processing in Medical Imaging (IPMI), Lecture Notes in Computer Science vol. 10265, Boone, NC, USA, Jun. 2017, pp. 543—555. [acceptance rate: 33%]

15.   Lei Du, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, and Li Shen, "Sparse canonical correlation analysis via truncated L1-norm with application to brain imaging genetics," in Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen, China, Dec. 2016, pp. 707—711.

16.   Kefei Liu, Florian Roemer, João Paulo C. L. da Costa, Jie Xiong, Yi-Sheng Yan, Wen-Qin Wang, and Giovanni Del Galdo, "Tensor-based sparsity order estimation for big data applications," in Proc. 25th European Signal Processing Conference (EUSIPCO), Kos, Greece, Aug.—Sept. 2017, pp. 648—652. invited paper

17.   Jie Xiong, Kefei Liu, João Paulo C. L. da Costa, and Wen-Qin Wang, "Bayesian information criterion for multidimensional sinusoidal order selection," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, LA, USA, Mar. 2017, pp. 3106—3110. [First two authors contributed equally.]

18.   Thiago Felippe K. Cordeiro, João Paulo C. L. da Costa, Kefei Liu, and Geovany A. Borges, "Kalman-based attitude estimation for an UAV via an antenna array," 8th International Conference on Signal Processing and Communication Systems, Gold Coast, Australia, Dec. 2014.

19.   Ricardo Kehrle Miranda, João Paulo C. L. da Costa, Marco A. M. Marinho, Edison Pignaton de Freitas, Rafael de Freitas Ramos, Kefei Liu, Hing Cheung, Leonardo Baltar, and Rafael T. de Sousa, "Evaluation of space-time-frequency (STF)-coded MIMO-OFDM systems in realistic channel models," in Proc. 28th International Conference on Advanced Information Networking and Applications Workshops, Victoria, Canada, May 2014, pp. 310—315.

20.   Kefei Liu, João Paulo C. L. da Costa, Hing Cheung So, and Rafael T. de Sousa, "Iterative prewhitening for multidimensional harmonic retrieval: New variants and comparative study," in Proc. 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Saint Martin, France, Dec. 2013, pp. 216—219. invited paper

21.   Kefei Liu, João Paulo C. L. da Costa, Hing Cheung So, Florian Roemer, and Lei Huang, "On the use of order selection rules for accurate parameter estimation in threshold region," 21st European Signal Processing Conference (EUSIPCO), Marrakech, Morocco, Sept. 2013.

22.   Kefei Liu, Hing Cheung So, João Paulo C. L. da Costa, and Lei Huang, "Core consistency diagnostic aided by reconstruction error for accurate enumeration of the number of components in PARAFAC models," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013, pp. 6635—6639.

23.   Marco A. M. Marinho, Ronaldo S. Ferreira Júnior, João Paulo C. L. da Costa, Edison Pignaton de Freitas, Felix Antreich, Kefei Liu, Hing Cheung So, Rafael T. de Sousa, and Ricardo Zelenovsky, "Antenna array based positioning scheme for unmanned aerial vehicles," 17th International ITG Workshop on Smart Antennas, Stuttgart, Germany, Mar. 2013.

24.   Ronaldo S. Ferreira Júnior, Marco A. M. Marinho, Kefei Liu, João Paulo C. L. da Costa, Arthur V. Amaral, and Hing Cheung So, "Improved landing radio altimeter for unmanned aerial vehicles based on an antenna array," in Proc. IV International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT), Saint Petersburg, Russia, Oct. 2012, pp. 105—113. 最佳论文奖

25.   Kefei Liu, João Paulo C. L. da Costa, André L. F. de Almeida, and Hing Cheung So, "A closed form solution to semi-blind joint symbol and channel estimation in MIMO-OFDM systems," in Proc. IEEE International Conference on Signal Processing, Communications and Computing, Hong Kong, China, Aug. 2012, pp. 191—196.

26.   Kefei Liu, João Paulo C. L. da Costa, Hing Cheung So, Luiz F. de A. Gadêlha, and Geovany A. Borges, "Improved attitude determination for unmanned aerial vehicles with a cross-shaped antenna array," in Proc. 14th IASTED International Conference on Signal and Image Processing, Honolulu, Hawaii, USA, Aug. 2012, pp. 60—67

27.   Kefei Liu, Hing Cheung So, and Lei Huang, "A multi-dimensional model order selection criterion with improved identifiability," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, Mar. 2012, pp. 2441—2444.

28.   Xiaojing Ye, Kefei Liu, and Meizhu Liu, "Efficient minimization for dictionary based sparse representation and signal recovery," in Proc. 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, Barcelona, Spain, Oct. 2011, article no. 105. invited paper

29.   Meizhu Liu, Kefei Liu, and Xiaojing Ye, "Find the intrinsic space for multiclass classification," in Proc. 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, Barcelona, Spain, Oct. 2011, article no. 106. invited paper

30.   Sheng Hong, Kefei Liu, Ying Li, Hang Zou, Yunping Qi, and Kan Hong, "A new direct-sequence UWB transceiver based on bridge function sequence," in Proc. 2nd International Conference on Computational Intelligence and Natural Computing, Wuhan, China, Sept. 2010, pp. 209—212.

31.   Kefei Liu, Meizhu Liu, Zhihua Huang, Linbing Zhao, and Youyu Shen, "Error estimate of quadrature sampling system via discrete Hilbert transform," in Proc. 2nd International Conference on Signal Processing Systems, Dalian, China, Jul. 2010, pp. V1-10—V1-13.

32.   Dongkai Yang, Xin Yu, Kefei Liu, and Qishan Zhang, "Performance analysis of PAPR in MC-CDMA system," in Proc. 1st International Conference on Information Science and Engineering, Nanjing, China, Dec. 2009, pp. 2676—2679.

33.   Dongkai Yang, Kefei Liu, Qingge Liu, and Qishan Zhang, "Performance analysis of quadratic prime codes and construction of new frequency-hopping sequences," 5th IEEE International Conference on Wireless Communications, Networking and Mobile Computing, Beijing, China, Sept. 2009.

34.   Sheng Hong, Dongkai Yang, Kefei Liu, Shuliang Gao, Huagang Xiong, and Qishan Zhang, "Noise analysis for a new digital beamformer on-receive-only," 5th IEEE International Conference on Wireless Communications, Networking and Mobile Computing, Beijing, China, Sept. 2009.

35.   Sheng Hong, Huagang Xiong, Kefei Liu, Qing Chang, Qishan Zhang, Yongqiang Liu, Xiaoxiang He, and Manos M. Tentzeris, "Application of bridge function sequences in passive beamformer," in Proc. International Conference on Networks Security, Wireless Communications and Trusted Computing, Wuhan, China, Apr. 2009, pp. 637—640.

36.   Dongkai Yang, Kefei Liu, Qishan Zhang, and Yi Chen, "Performance analysis of frequency diversity for multi-carrier CDMA system based on bridge function," 4th IEEE International Conference on Wireless Communications, Networking and Mobile Computing, Dalian, China, Oct. 2008.

37.   Sheng Hong, Chunyu Hanzhong, Kefei Liu, and Manos M. Tentzeris, "Combination of adaptive modulation and power management for the performance enhancement of MIMO-OFDM systems," IEEE Antennas and Propagation Society International Symposium, San Diego, CA, USA, Jul. 2008.

专著章节:

1.    Walter C. Freitas Jr., André L. F. de Almeida, João Paulo C. L. da Costa, Kefei Liu, and Hing Cheung So, "Multiantenna multicarrier transceiver architectures," in Resource Allocation and MIMO for 4G and Beyond, Francisco Rodrigo Porto Cavalcanti, Ed., New York, NY, USA: Springer, 2014, pp. 359—395.