招生动态

1997年至2001年 山东大学理学学士

2001年至2004年 清华大学工学硕士

2006年至2011年 美国弗吉尼亚理工大学(Virginia Tech)工学博士学位

2004年至2006年 清华同方威视 研究员

2011年至2012年 美国斯坦福(Stanford)大学 博士后

2012年至2018年 美国弗吉尼亚理工大学(Virginia Tech)电子与计算机工程系 助理教授

2018年至2022年 美国弗吉尼亚理工大学(Virginia Tech)电子与计算机工程系 副教授

2022年至2023年 美国弗吉尼亚理工大学(Virginia Tech)电子与计算机工程系 教授

2023年至今 清华大学自动化系 教授

Bioinformatics Advances 编委（Associate Editor）

EURASIP Journal on Bioinformatics and Systems Biology 编委（Associate Editor）

美国NIH BRAIN Initiative Consortium首席研究员成员

美国NIH Data Science Consortium首席研究员成员

统计模型与优化技术

大规模视频数据分析

计算脑科学

生物信息学

2.Integrating astrocytes into models of neural circuits regulating behavior，NIH U19 NS123719，2021年8月到2026年7月，项目负责人

3.Data science core for astrocyte modulation of neural circuit function and behavior，NIH U19 NS123719-8589，2021年8月到2026年7月，项目负责人

4.CAREER: Mathematical modeling and computational tools for in vivo astrocyte activity，NSF 1750931，2018年6月到2023年5月，项目负责人

5.Genomic and Proteomic Architecture of Atherosclerosis，NIH R01 HL111362，2018年6月到2023年5月，项目参与人

6.Decoding astrocyte signaling in neural circuitry with novel computational modeling and analytical tools，NIH R01 MH110504，2017年4月到2023年1月，项目负责人

7.Evaluating astrocyte loss after traumatic brain injury in initiation of post-traumatic epilepsy，NIH R01 NS105807，2018年1月到2022年12月，项目课题负责人

8.Metabolomic Signatures of CAD Associated Genotypes，NIH R01 HL133932，2016年1月到2020年5月，项目课题负责人

9.Integrating epigenomic maps to predict regulatory functions of genetic variants，NIH R01 ES024988，2014年10月到2017年5月，项目参与人

10.Genomic and Proteomics Architecture of Atherosclerosis，NIH R01 HL111362，2014年8月到2017年5月，项目课题负责人

2.COE Faculty Fellow Award (2020).

3.Best Paper Award, (2019), Neuron.

4.NSF CAREER Award (2018)

5.The Best Student Paper Award (2016), IEEE International Conference on Bioinformatics and Biomedicine

6.The William A. Blackwell Award (2011), Bradley Department of Electrical and Computer Engineering, Virginia Tech

7.The Best Student Paper Award (2009), IEEE International Conference on Bioinformatics and Biomedicine

1.Yizhi Wang, Nicole V. DelRosso, Trisha V. Vaidyanathan, Michelle K. Cahill, Michael E. Reitman, Silvia Pittolo, Xuelong Mi, Guoqiang Yu*, Kira E. Poskanzer*, “Accurate quantification of astrocyte and neurotransmitter fluorescence dynamics for single-cell and population-level physiology”, Nature Neuroscience, September 30, 2019. (*corresponding author, the first author is my Ph.D student).

2.Congchao Wang, Yizhi Wang, Guoqiang Yu*, “Efficient Global Multi-object Tracking Under Minimum-cost Circulation Framework”, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), April, 2020. (*corresponding author).

3.Congchao Wang, Yizhi Wang, Yinxue Wang, Chiung-Ting Wu, Guoqiang Yu*, “muSSP: Efficient Min-cost Flow Algorithm for Multi-object Tracking”, Advances in Neural Information Processing Systems (NeurIPS’19), December 9, 2019. (*corresponding author).

4.Yizhi Wang, Congchao Wang, Petter Ranefall, Gerard Joey Broussard, Yinxue Wang, Guilai Shi, Boyu Lyu, Yue Wang, Lin Tian, Guoqiang Yu*, “SynQuant: An Automatic Tool to Quantify Synapses from Microscopy Images”, Bioinformatics, March 1, 2020. (*corresponding author).

5.Mengfan Wang, Boyu Lyu, Guoqiang Yu*, “ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation”, The International Conference on Machine Learning (ICML’21), July 18, 2021. (*corresponding author).

6.Yizhi Wang, David J. Miller, Kira Poskanzer, Yue Wang, Lin Tian, Guoqiang Yu*, “Graphical Time Warping for Joint Alignment of Multiple Curves”, Advances in Neural Information Processing Systems (NIPS’16), 3648-3656, December, 2016 (*corresponding author).

期刊论文

1.Michael Reitman, Vincent Tse, Xuelong Mi, Drew Willoughby, Alba Peinado, Alexander Aivazidis, Bat-Erdene Myagmar, Paul Simpson, Omer Bayraktar, Guoqiang Yu, and Kira Poskanzer, “Norepinephrine links astrocytic activity to regulation of cortical state”, Nature Neuroscience, In press, 2023.

2.Chiung-Ting Wu, Minjie Shen, Dongping Du, Zuolin Cheng, Sarah J Parker, Yingzhou Lu, Jennifer E Van Eyk, Guoqiang Yu, Robert Clarke, David M Herrington, Yue Wang, “Cosbin: cosine score-based iterative normalization of biologically diverse samples”, Bioinformatics Advances, Oct 20th, 2022.

3.Yingzhou Lu, Chiung-Ting Wu, Sarah J Parker, Zuolin Cheng, Georgia Saylor, Jennifer E Van Eyk, Guoqiang Yu, Robert Clarke, David M Herrington, Yue Wang, “COT: an efficient and accurate method for detecting marker genes among many subtypes”, Bioinformatics Advances, May 27th, 2022.

4.Minjie Shen, Yi-Tan Chang, Chiung-Ting Wu, Sarah J. Parker, Georgia Saylor, Yizhi Wang, Guoqiang Yu, Jennifer E. Van Eyk, Robert Clarke, David M. Herrington, Yue Wang, “Comparative assessment and novel strategy on methods for imputing proteomics data”, Scientific reports, Jan. 20th, 2022.

5.Lulu Chen, Chiung-Ting Wu, Chia-Hsiang Lin, Rujia Dai, Chunyu Liu, Robert Clarke, Guoqiang Yu, Jennifer E Van Eyk, David M Herrington, Yue Wang, “swCAM: estimation of subtype-specific expressions in individual samples with unsupervised sample-wise deconvolution”, Bioinformatics, March 1st, 2022.

6.Faten A. Sayed1, Lay Kodama, Li Fan, Gillian K. Carling, Joe C. Udeochu, David Le, Qingyun Li, Lu Zhou, Man Ying Wong, Rose Horowitz, Pearly Ye, Hansruedi Mathys, Minghui Wang, Xiang Niu, Linas Mazutis, Xueqiao Jiang, Xueting Wang, Fuying Gao, Matthew Brende, Maria Telpoukhovskaia, Tara E. Tracy, Georgia Frost, Yungui Zhou, Yaqiao Li, Yue Qiu, Zuolin Cheng, Guoqiang Yu, John Hardy, Giovanni Coppola, Shiaoching Gong, Fei Wang, Michael A. DeTure, Bin Zhang, Lei Xie, John Q. Trajnowski, Virginia MY Lee, Subhash Sinha, Dennis W. Dickson, Wenjie Luo , and Li Gan, “AD-linked R47H-TREM2 mutation induces disease-enhancing microglial states via AKT hyperactivation”, Science Translational Medicine, October 1, 2021.

7.Maria F Ali, Andrew J Latimer, Yinxue Wang, Leah Hogenmiller, Laura Fontenas, Adam J Isabella, Cecilia B Moens, Guoqiang Yu, Sarah Kucenas, “Met is required for oligodendrocyte progenitor cell migration in Danio rerio”, G3 Genes|Genomes|Genetics, Volume 11, Issue 10, October 2021, jkab265.

8.Lulu Chen, Yingzhou Lu, Chiung-Ting Wu, Robert Clarke, Guoqiang Yu, Jennifer E Van Eyk, David M Herrington, Yue Wang, “Data-driven detection of subtype-specific differentially expressed genes”, Scientific reports, January 11, 2021.

9.Congchao Wang, Yizhi Wang, Guoqiang Yu*, “Efficient Global Multi-object Tracking Under Minimum-cost Circulation Framework”, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), November, 2020. (*corresponding author).

10.Yujia Hu, Congchao Wang, Limin Yang, Geng Pan, Hao Liu, Guoqiang Yu*, Bing Ye*, “A Neural Basis for Categorizing Sensory Stimuli to Enhance Decision Accuracy”, Current Biology, October 15, 2020. (*corresponding author).

11.Yizhi Wang, Congchao Wang, Petter Ranefall, Gerard Joey Broussard, Yinxue Wang, Guilai Shi, Boyu Lyu, Yue Wang, Lin Tian, Guoqiang Yu*, “SynQuant: An Automatic Tool to Quantify Synapses from Microscopy Images”, Bioinformatics, March 1, 2020. (*corresponding author).

12.Sarah J Parker, Lulu Chen, Weston Spivia, Georgia Saylor, Chunhong Mao, Vidya Venkatraman, Ronald J Holewinski, Mitra Mastali, Rakhi Pandey, Grace Athas, Guoqiang Yu, Qin Fu, Dana Troxlair, Richard Vander Heide, David Herrington, Jennifer E Van Eyk, Yue Wang, “Identification of Putative Early Atherosclerosis Biomarkers by Unsupervised Deconvolution of Heterogeneous Vascular Proteomes”, Journal of proteome research, March 23, 2020.

13.Lay Kodama, Elmer Guzman, Jon I. Etchegaray, Yaqiao Li, Faten A. Sayed, Lu Zhou, Yungui Zhou, Lihong Zhan, David Le, Joe C. Udeochu, Claire D. Clelland, Zuolin Cheng, Guoqiang Yu, Qingyun Li, Kenneth S. Kosik, Li Gan, “Microglial microRNAs mediate sex-specific responses to tau pathology”, Nature Neuroscience, February, 2020.

14.Chiung-Ting Wu, Yizhi Wang, Yinxue Wang, Timothy Ebbels, Ibrahim Karaman, Gonçalo Graça, Rui Pinto, David M Herrington, Yue Wang, Guoqiang Yu*, “Targeted Realignment of LC-MS Profiles by Neighbor-wise Compound-specific Graphical Time Warping with Misalignment Detection”, Bioinformatics, January 17, 2020. (*corresponding author).

15.Yizhi Wang, Nicole V. DelRosso, Trisha V. Vaidyanathan, Michelle K. Cahill, Michael E. Reitman, Silvia Pittolo, Xuelong Mi, Guoqiang Yu*, Kira E. Poskanzer*, “Accurate quantification of astrocyte and neurotransmitter fluorescence dynamics for single-cell and population-level physiology”, Nature Neuroscience, September 30, 2019. (*corresponding author).

16.Bin Zhou, Lingmin Chen, Ping Liao, Lu Huang, Zhuo Chen, Daqing Liao, Linghui Yang, Jing Wang, Guoqiang Yu, Li Wang, Jianguo Zhang, Yunxia Zuo, Jin Liu, Ruotian Jiang, “Astroglial dysfunctions drive aberrant synaptogenesis and social behavioral deficits in mice with neonatal exposure to lengthy general anesthesia”, PLoS biology, August 21, 2019.

17.Qinjie Weng, Jincheng Wang, Jiajia Wang, Danyang He, Zuolin Cheng, Feng Zhang, Ravinder Verma, Lingli Xu, Xinran Dong, Yunfei Liao, Xuelian He, Andrew Potter, Liguo Zhang, Chuntao Zhao, Mei Xin, Qian Zhou, Bruce J. Aronow, Perry J. Blackshear, Jeremy N. Rich, Qiaojun He, Wenhao Zhou, Mario L. Suvà, Ronald R. Waclaw, S. Steven Potter, Guoqiang Yu, Q. Richard Lu, “Single-Cell Transcriptomics Uncovers Glial Progenitor Diversity and Cell Fate Determinants during Development and Gliomagenesis”, Cell Stem Cell, May 02, 2019.

18.Guoqiang Yu*, David J. Miller, Chiung-Ting Wu, Eric P. Hoffman, Chunyu Liu, David M. Herrington, and Yue Wang, “Asymmetric independence modeling identifies novel gene-environment interactions”, Scientific Reports, Feb. 21, 2019 (*corresponding author).

19.Rujia Dai, Lulu Chen, Sihan Liu, Yu Chen, Jiacheng Dai, Guoqiang Yu, Yue Wang, Chao Chen, Chunyu Liu, “SA126CELL TYPE-SPECIFIC ALTERNATION IN SCHIZOPHRENIA AND BIPOLAR DISORDER”, European Neuropsychopharmacology, January 11, 2019

20.Qingyun Li, Zuolin Cheng, Lu Zhou, Spyros Darmanis, Norma Neff, Jennifer Okamoto, Gunsagar Gulati, Mariko L. Bennett, Lu O. Sun, Laura E. Clarke, Julia Marschallinger, Guoqiang Yu#, Stephen R. Quake#, Tony Wyss-Coray#, Ben A. Barres#, “Developmental heterogeneity of microglia and brain myeloid cells revealed by deep single-cell RNA sequencing”, Neuron, Jan.16, 2019 (# Senior authors).

21.Jun Ruan, Zhen Liu, Ming Sun, Yue Wang, Junqiu Yue and Guoqiang Yu*, “DBS: a fast and informative segmentation algorithm for DNA copy number analysis”, BMC Bioinformatics, Jan.03, 2019 (*corresponding author).

22.David Herrington, Chunhong Mao, Sarah Parker, Zongming Fu, Guoqiang Yu, Lulu Chen, Vidya Venkatraman, Yi Fu, Yizhi Wang, Tim Howard, Jun Goo, Caroline Zhao, Yongming Liu, Georgia Saylor, Grace Athas, Dana Troxclair, James Hixson, Richard Heide, Yue Wang, Jennifer Van Eyk, “Proteomic Architecture of Human Coronary and Aortic Atherosclerosis”, Circulation, Jun. 19, 2018.

23.Grace O. Mizuno, Yinxue Wang, Guilai Shi, Yizhi Wang, Junqing Sun, Stelios Papadopoulos, Gerard J. Broussard, Elizabeth K. Unger, Wenbin Deng, Jason Weick, Anita Bhattacharyy, Chao-Yin Chen, Guoqiang Yu, Loren L. Looger, Lin Tian, “Aberrant calcium signaling in astrocytes inhibits neuronal excitability in a human Down syndrome’ stem cell model”, Cell Reports, Jul. 10, 2018.

24.Yiming Zuo, Yi Cui, Guoqiang Yu, Ruijiang Li and Habtom W. Ressom, “Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO”, BMC Bioinformatics, 2017, DOI 10.1186, 18:99.

25.James E Hixson, Goo Jun, Lawrence C Shimmin, Yizhi Wang, Guoqiang Yu, Chunhong Mao, Andrew S Warren, Timothy D Howard, Richard S Vander Heide, Jennifer Eyk, Yue Wang, David M Herrington, “Whole Exome Sequencing to Identify Genetic Variants Associated with Raised Atherosclerotic Lesions in Young Persons”, Scientific Reports, doi:10.1038/s41598-017-04433-x, 2017.

26.Chunhong Mao, Timothy D Howard, Dan Sullivan, Zongming Fu, Guoqiang Yu, Sarah J Parker, Rebecca Will, Richard S Vander Heide, Yue Wang, James Hixson, Jennifer Van Eyk, David M Herrington, “Bioinformatic Analysis of Coronary Disease Associated SNPs and Genes to Identify Proteins Potentially Involved in the Pathogenesis of Atherosclerosis”, Journal of Proteomics and Genomics Research, 2017; 2(1): 1–12.

27.Yinxue Wang, Guilai Shi, David J. Miller, Yizhi Wang, Congchao Wang, Gerard Broussard, Yue Wang, Lin Tian* and Guoqiang Yu*, “Automated functional analysis of astrocytes from chronic time-Lapse calcium imaging data”, Frontiers in Neuroinformatics, 2017, 11:48. doi: 10.3389/fninf.2017.00048, (*corresponding author).

28.Ibrahim Youssef, Robert Clarke, Ie-Ming Shih, Yue Wang, Guoqiang Yu*, "Biologically inspired survival analysis based on integrating gene expression as mediator with genomic variants," Computers in Biology and Medicine, 2016, Volume 77, Pages 231–239 (*corresponding author).

29.Yiming Zuo, Yi Cui, Cristina Di Poto, Rency S Varghese, Guoqiang Yu, Ruijiang Li, Habtom W Ressom, “INDEED: Integrated differential expression and differential network analysis of omic data for biomarker discovery”, Methods, 2016, Volume 111, Pages 12-20.

30.Niya Wang, Eric P Hoffman, Lulu Chen, Li Chen, Zhen Zhang, Chunyu Liu, Guoqiang Yu, David M Herrington, Robert Clarke and Yue Wang, "Mathematical modelling of transcriptional heterogeneity identifies novel markers and subpopulations in complex tissues," Scientific Reports, 6:18909, 2016.

31.Minkun Wang, Tsung-Heng Tsai, Cristina Di Poto, Alessia Ferrarini, Guoqiang Yu, Habtom W Ressom, “Topic model-based mass spectrometric data analysis in cancer biomarker discovery studies”, BMC Genomics, 2016, Volume 17(Suppl 4):545.

32.Minkun Wang, Guoqiang Yu, Habtom W Ressom. “Integrative analysis of proteomic, glycomic, and metabolomic data for biomarker discovery”, IEEE J Biomed Health Inform, 2016, Volume 20(5), 1225-1231.

33.Yi Fu, Guoqiang Yu, Douglas A. Levine, Niya Wang, Ie-Ming Shih, Zhen Zhang, Robert Clarke and Yue Wang, "BACOM2.0 facilitates absolute normalization and quantification of somatic copy number alterations in heterogeneous tumor," Scientific Reports, 2015, doi:10.1038/srep13955.

34.Yiming Zuo, Guoqiang Yu, Mahlet G Tadesse, Habtom W Ressom, “Biological network inference using low order partial correlation”, Methods, 2014, 69(3):266-73.

35.Ye Tian, Sean S. Wang, Robert Clarke, Zhen Zhang, O. C. Rodriguez, Shaozhen Ye, E. Petricoin III, I-M Shih, D. Chan, L. Hilakivi-Clarke, M. Avantaggiati, Guoqiang Yu, C. Wang, Bai Zhang, and C. Albanese, "Integration of network biology and imaging to study cancer phenotypes and responses," IEEE/ACM Trans Computational Biology and Bioinformatics, pages 1009 – 1019, 2014.

36.Bai Zhang, Xuchu Hou, Xiguo Yuan, Ie-Ming Shih, Zhen Zhang, Robert Clarke, Roger R. Wang, Yi Fu, Subha Madhavan, Yue Wang, and Guoqiang Yu*, “AISAIC: a software suite for accurate identification of significant aberrations in cancers”, Bioinformatics, 2013 : btt693v1-btt693, (*corresponding author).

37.Ye Tian, Li Chen, Bai Zhang, Guoqiang Yu, Ie-Ming Shih, Jianhua Xuan, and Yue Wang, “Genomic and network analysis to study origin of ovarian cancer”, Systems Biomedicine, 2012.

38.Xiguo Yuan*, Guoqiang Yu*, Xuchu Hou, Ie-Ming Shih, Robert Clarke, Junying Zhang, Eric P. Hoffman, Roger R. Wang, Zhen Zhang, and Yue Wang, “Genome-wide Identification of Significant Aberrations in Cancer Genome,” BMC Genomics, 2012 ( *Joint first author).

39.Xiguo Yuan, Junying Zhang; Shengli Zhang; Guoqiang Yu, Yue Wang, "Comparative analysis of methods for identifying recurrent copy number alterations in cancer," PLoS ONE, vol. 7, e52516, 2012.

40.Guoqiang Yu*, Bai Zhang*, G. Steven Bova, Jianfeng Xu, Ie-Ming Shih, Yue Wang, "BACOM: In silico detection of genomic deletion types and correction of normal cell contamination in copy number data", Bioinformatics, vol. 27, no. 11, pp. 1473-1480, 2011 (*Joint first author).

41.Li Chen, Guoqiang Yu, Carl D. Langefeld, David J. Miller, Richard T. Guy, Xiguo Yuan, David Herrington and Yue Wang, "Comparative analysis of methods for detecting interacting loci", BMC Genomics, 5:161, 2011.

42.Guoqiang Yu, Huai Li, Sook Ha, Ie-Ming Shih, Robert Clarke, Eric P. Hoffman, Subha Madhavan, Jianhua Xuan, Yue Wang, "PUGSVM: A caBIGTM analytical tool for multiclass gene selection and predictive classification", Bioinformatics, vol. 27, no. 5, pp.736-738, 2011.

43.Guoqiang Yu, Yuanjian Feng, David J. Miller, Jianhua Xuan, Eric P. Hoffman, Robert Clarke, Ben Davidson, Ie-Ming Shih, and Yue Wang, "Matched gene selection and committee classifier for molecular classification of heterogeneous diseases", Journal of Machine Learning Research, vol. 11, pp.2141-2167, 2010.

44.Yuanjian Feng, Guoqiang Yu, Tian-Li Wang, Ie-Ming Shih, and Yue Wang, "Analyzing DNA copy number changes using fused margin regression", Intl J of Functional Informatics and Personalized Medicine, vol. 3, no. 1, pp.3-15, 2010.

45.David J. Miller, Yanxin Zhang, Guoqiang Yu, Yongmei Liu, Li Chen, Carl D. Langefeld, David Herrington, and Yue Wang, "An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions", Bioinformatics, vol. 25, no. 19, pp. 2478-2485, 2009.

46.Wennuan Liu, Sari Laitinen, Sofia Khan, Mauno Vihinen, Jeanne Kowalski, Guoqiang Yu, Li Chen, Srinivasan Yegnasubramanian, Jun Luo, Yue Wang, Jianfeng Xu, William B. Isaacs, Tapio Visakorpi, and G. Steven Bova, "Copy number analysis indicates monoclonal origin of lethal metastatic prostate cancer", Nature Medicine, vol. 15, no. 5, pp. 559-565, 2009.

47.Shiliang Sun, Changshui Zhang, Guoqiang Yu, "A Bayesian network approach to traffic flow forecasting", IEEE Transactions on Intelligent Transportation Systems, vol. 7, no. 1, pp. 124-132, 2006.

48.Jianwei Gu, Li Zhang, Guoqiang Yu, Yuxiang Xing, Zhiqiang Chen, "X-ray CT metal artifacts reduction through curvature based sinogram inpainting", Journal of X-Ray Science and Technology, vol. 14, no. 2, pp.73-82, 2006.

会议论文

1.Zuolin Cheng, Songtao Wei, Guoqiang Yu*, “A Single-Cell-Resolution Quantitative Metric of Similarity to a Target Cell Type for scRNA-seq Data”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), December 6, 2022. (*corresponding author).

2.Xuelong Mi, Mengfan Wang, Alex Bo-Yuan Chen, Jing-Xuan Lim, Yizhi Wang, Misha Ahrens, Guoqiang Yu*, “BILCO: An Efficient Algorithm for Joint Alignment of Time Series”, Advances in Neural Information Processing Systems (NeurIPS’22), November 28, 2022. (*corresponding author).

3.Mengfan Wang, Kathleen Whiting, Fritz W Lischka, Zygmunt Galdzicki, Guoqiang Yu*, “An Unsupervised Approach to Detect Microglia Tip in Volumetric Fluorescence Imaging Data”, IEEE 19th International Symposium on Biomedical Imaging (ISBI’22), 2022. (*corresponding author).

4.Mengfan Wang, Boyu Lyu, Guoqiang Yu*, “ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation”, The International Conference on Machine Learning (ICML’21), July 18, 2021. (*corresponding author).

5.Congchao Wang, Yizhi Wang, Yinxue Wang, Chiung-Ting Wu, Guoqiang Yu*, “muSSP: Efficient Min-cost Flow Algorithm for Multi-object Tracking”, Advances in Neural Information Processing Systems (NeurIPS’19), December 9, 2019. (*corresponding author).

6.Yinxue Wang, Maria Ali, Yue Wang, Sarah Kucenas, Guoqiang Yu*, “Detection and Tracking of Migrating Oligodendrocyte Progenitor Cells from in vivo Fluorescence Time-Lapse Imaging Data,” the International Symposium on Biomedical Imaging (ISBI'18), April 2018 (*corresponding author).

7.Minkun Wang, Cristina Di Poto, Alessia Ferrarini, Guoqiang Yu, Habtom Ressom, “Metabolomic data deconvolution using probabilistic purification models”, The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen, China, Dec., 2016. (Best student paper award).

8.Yizhi Wang, David J. Miller, Kira Poskanzer, Yue Wang, Lin Tian, Guoqiang Yu*, “Graphical Time Warping for Joint Alignment of Multiple Curves”, Advances in Neural Information Processing Systems (NIPS’16), 3648-3656, December, 2016 (*corresponding author).

9.Yinxue Wang, Guilai Shi, David J. Miller, Yizhi Wang, Gerard Broussard, Yue Wang, Lin Tian, and Guoqiang Yu*, “FASP: A Machine Learning Approach to Functional Astrocyte Phenotyping from Time-Lapse Calcium Imaging Data,” the International Symposium on Biomedical Imaging (ISBI'16), April 2016 (*corresponding author).

10.Minkun Wang, Guoqiang Yu, Ressom HW, “Integrative analysis of LC-MS based glycomic and proteomic data”, IEEE Engineering in Medicine and Biology Society (EMBS), Milano, Italy, Aug., 2015.

11.Minkun Wang, Tsung-Heng Tsai, Guoqiang Yu, and Habtom Ressom, “Purification of LC/GC-MS based Biomolecular Expression Profiles Using a Topic Model”, The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Washington D.C., November, 2015.

12.Yiming Zuo, Guoqiang Yu, and Habtom Ressom, “Integrating Prior Biological Knowledge and Graphical LASSO for Network Inference”, the 6th Workshop on Integrative Data Analysis in System Biology (IDASB), Washington D.C., November, 2015.

13.Ye Tian, Bai Zhang, Yi Fu, Guoqiang Yu, Yue Wang, “A statistical approach to identifying significant transgenerational methylation changes”, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

14.Yinxue Wang, Bello, L., Yue Wang, McDonald, C.M., Hoffman, E.P., Guoqiang Yu*, “Predicting age at loss of ambulation in Duchenne muscular dystrophy with deep phenotypic measures”, Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on. (*corresponding author).

15.Guoqiang Yu, Niya Wang, Wang, R.R., Wang, S.S., Yue Wang, “A feasible roadmap to identifying significant intercellular genomic heterogeneity in deep sequencing data”, Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on.

16.Yiming Zuo, Guoqiang Yu, Chi Zhang, and Habtom Ressom, “A new approach for multi-omic data integration”, IEEE Intl Conf. on Bioinformatics & Biomedicine, Belfast, U.K., November, 2014.

17.Ibrahim Mohamed Ibrahim, Guoqiang Yu*, Li Chen, and Yue Wang, “Enhancing the Convex Analysis of Mixtures Technique for Estimating DCE-MRI Pharmacokinetic Parameters”, the 36th Annual International IEEE EMBS Conference, Chicago, August, 2014. (*corresponding author).

18.Yiming Zuo, Guoqiang Yu, Mahlet Tadesse, and Habtom Ressom, "Reconstructing Biological Networks using Low Order Partial Correlation", IEEE Intl Conf. on Bioinformatics & Biomedicine, Shanghai, P.R. China, November, 2013.

19.Minkun Wang, Guoqiang Yu, Yehia Mechref, and Habtom Ressom, “GPA: An Algorithm for LC/MS based Glycan Profile Annotation”, IEEE workshop on Data Analytics in Biomedicine, Shanghai, P.R. China, November, 2013.

20.Mohammed Elhenawy, Xuchu Hou and Guoqiang Yu*, “A Non-Parametric Approach for Estimating Stromal Contamination in Cancer Samples”, IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS'12), Washington D.C., USA, Dec. 2012. (*corresponding author)

21.Xuchu Hou, Bai Zhang, Xiguo Yuan, Ie-Ming Shih, Zhen Zhang, Robert Clark, Subha Madhavan and Guoqiang Yu*, “Accurate Identification of Significant Aberrations in Contaminated Cancer Genome”, IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS'12), Washington D.C., USA, Dec. 2012 (*corresponding author).

22.Mohammed Elhenawy and Guoqiang Yu*, “NMF Based Approach for Finding Recurrent Aberrations in DNA Copy Number Data”, IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS'12), Washington D.C., USA, Dec. 2012 (*corresponding author).

23.Guoqiang Yu, Bai Zhang, Jianfeng Xu, Ie-Ming Shih, and Yue Wang, "Accurate Estimation of Genomic Deletions and Normal Cell Contamination by Bayesian Analysis of Mixtures", IEEE Intl Conf. on Bioinformatics & Biomedicine, Washington D.C., USA, Nov. 2009. (Best student paper award).

24.Yuanjian Feng, Guoqiang Yu, Tian-Li Wang, Ie-Ming Shih, and Yue Wang, "Analyzing DNA Copy Number Changes Using Fused Margin Regression", IEEE Intl Conf. on Bioinformatics & Biomedicine, Washington D.C., USA, Nov. 2009.

25.Li Chen, Guoqiang Yu, David Miller, Lei Song, Carl Langefeld, David Herrington, Yongmei Liu, and Yue Wang, "A Ground Truth Based Comparative Study on Detecting Epistatic SNPs", The 2009 Applications of Machine Learning in Bioinformatics Workshop, Washington D.C., USA, Nov. 2009.

26.Guoqiang Yu, David Herrington, Carl Langefeld, and Yue Wang, "Detection of Complex Interactions of Multiple SNPs", IEEE Intl Workshop on Machine Learning for Signal Processing, Cancún, Mexico, October 16-19, 2008.

27.Guoqiang Yu, Jin Zhang, Zhiqiang Chen, Li Zhang, Yuxiang Xing, "Variational Segmentation of X-Ray Image with Overlapped Objects", SPIE Symposium on Electronic Imaging (SPIE EI2006) as an oral report, January 15–19, 2006, San Jose, California, USA.

28.Guoqiang Yu, Liang Li, Jianwei Gu, Li Zhang, "Total Variation Based Iterative Image Reconstruction", ICCV2005 workshop: Computer Vision for Biomedical Image Applications (CVBIA): Current Techniques and Future Trends, October 15-21, Beijing, China.

29.Jianwei Gu, Li Zhang, Guoqiang Yu, Zhiqiang Chen, Yuxiang Xing, "Metal Artifacts Reduction in CT Images through Euler’s Elastica and Curvature Based Sinogram Inpainting", SPIE Symposium on Medical Imaging (SPIE MI2006), February 11–16, 2006, San Diego, California USA.

30.Guoqiang Yu, Li Zhang, Jin Zhang, "Combining Iterative Inverse Filter with Shock Filter for Baggage Inspection Image Deblurring," Asian Conference on Computer Vision (ACCV2006) as an oral report, January 13-16, 2006, Hyderabad, India.

31.Shiliang Sun, Guoqiang Yu, Changshui Zhang, "Short-Term Traffic Flow Forecasting Using Sampling Markov Chain Method with Incomplete Data", IEEE Intelligent Vehicles Symposium (IV2004), June 14-17, 2004, Parma, Italy.

32.Changshui Zhang, Shiliang Sun, Guoqiang Yu. "Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data", International Symposium on Neural Networks (ISNN2004), August 19-21, 2004, Dalian, China.

33.Guoqiang Yu, Changshui Zhang, "Switching ARIMA Model Based Forecasting for Traffic Flow", published on International Conference on Acoustics, Speech, and Signal Processing (ICASSP2004), May 17-21, 2004, Canada.

34.Shiliang Sun, Changshui Zhang, Guoqiang Yu, Naijiang Lu and Fei Xiao, "Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data", the 15th European Conference on Machine Learning (ECML 2004), September 20-24, 2004, Pisa, Italy.

35.Changshui Zhang, Shiliang Sun, Guoqiang Yu. "A Bayesian Network Approach to Time Series Forecasting of Short-Term Traffic Flows", the 7th IEEE International Conference on Intelligent Transportation Systems (ITSC2004), October 3-6, 2004, Washington, D.C, USA.

36.Jianming Hu, Jingyan Song, Guoqiang Yu, Yi Zhang. "A Novel Networked Traffic Flow Forecasting Method Based on Markov Chain Model", IEEE International Conference on Systems, Mans & Cybernetic (ICSMC2003), October 5-8, 2003, Washington D.C, USA.

37.Guoqiang Yu, Jianming Hu, Changshui Zhang, Like Zhuang, Jingyan Song, "Short-term Traffic Flow Forecasting Based on Markov Chain Model", IEEE Intelligent Vehicles Symposium (IV2003), June 9-11, 2003, Columbus, OH, USA.

人才培养

博士后4位

博士12位

硕士7位