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2020 – today
- 2024
[j26]Chiung-Ting Wu
, Dongping Du, Lulu Chen, Rujia Dai, Chunyu Liu, Guoqiang Yu, Saurabh Bhardwaj, Sarah J. Parker, Zhen Zhang, Robert Clarke, David M. Herrington, Yue Wang:
CAM3.0: determining cell type composition and expression from bulk tissues with fully unsupervised deconvolution. Bioinform. 40(3) (2024)- [c39]Mengfan Wang, Guoqiang Yu:
Joint Thresholding: An Adaptive Thresholding Approach Considering The Consistency of High-Dimensional Fluorescence Imaging Data. ISBI 2024: 1-5 - [c38]Wei Zheng, Boyu Lyu, Xuelong Mi, James Cheng Peng, Yizhi Wang, Mengfan Wang, Zuolin Cheng, Shuoxuan Qiao, Zeyuan Hou, Guoqiang Yu:
Princut-Auto: An Unsupervised 3D Cell Detection Tool for Embryonic Data. ISBI 2024: 1-5 - 2023
- [j25]Xuhui Liu, Daniel A. Irwin, Chong Huang, Yutong Gu, Li Chen, Kevin D. Donohue, Lei Chen, Guoqiang Yu:
A Wearable Fiber-Free Optical Sensor for Continuous Monitoring of Cerebral Blood Flow in Freely Behaving Mice. IEEE Trans. Biomed. Eng. 70(6): 1838-1848 (2023) - [c37]Guoqiang Yu, Xudong Zhou:
Improving Nighttime Semantic Segmentation with Dual-Domain Mixed Attention and Shallow Feature Enhancement. CCIS 2023: 403-408 - [c36]Wei Zheng, James Cheng Peng, Zeyuan Hou, Boyu Lyu, Mengfan Wang, Xuelong Mi, Shuoxuan Qiao, Yinan Wan, Guoqiang Yu:
NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation. NeurIPS 2023 - [i3]Md. Selim, Jie Zhang, Faraneh Fathi, Michael A. Brooks, Ge Wang, Guoqiang Yu, Jin Chen:
Latent Diffusion Model for Medical Image Standardization and Enhancement. CoRR abs/2310.05237 (2023) - 2022
- [j24]Huai Lin, Nuo Xu, Di Wang, Long Liu, Xuefeng Zhao, Yongjian Zhou, Xuming Luo, Cheng Song, Guoqiang Yu, Guozhong Xing:
Implementation of Highly Reliable and Energy-Efficient Nonvolatile In-Memory Computing using Multistate Domain Wall Spin-Orbit Torque Device. Adv. Intell. Syst. 4(9) (2022) - [j23]Huai Lin, Nuo Xu, Di Wang, Long Liu, Xuefeng Zhao, Yongjian Zhou, Xuming Luo, Cheng Song, Guoqiang Yu, Guozhong Xing:
Implementation of Highly Reliable and Energy-Efficient Nonvolatile In-Memory Computing using Multistate Domain Wall Spin-Orbit Torque Device. Adv. Intell. Syst. 4(9) (2022) - [j22]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. Bioinform. 38(5): 1403-1410 (2022) - [j21]Congchao Wang, Yizhi Wang, Guoqiang Yu:
Efficient Global MOT Under Minimum-Cost Circulation Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1888-1904 (2022) - [c35]Zuolin Cheng, Songtao Wei, Guoqiang Yu:
A Single-Cell-Resolution Quantitative Metric of Similarity to a Target Cell Type for scRNA-seq Data. BIBM 2022: 2824-2831 - [c34]Mengfan Wang, Kathleen Whiting, Fritz W. Lischka, Zygmunt Galdzicki, Guoqiang Yu:
An Unsupervised Approach to Detect Microglia Tip in Volumetric Fluorescence Imaging Data. ISBI 2022: 1-5 - [c33]Xuelong Mi, Mengfan Wang, Alex Chen, Jing-Xuan Lim, Yizhi Wang, Misha B. Ahrens, Guoqiang Yu:
BILCO: An Efficient Algorithm for Joint Alignment of Time Series. NeurIPS 2022 - [i2]Yuting Liu, Albert Lee, Kun Qian, Peng Zhang, Haoran He, Zheyu Ren, Shun Kong Cheung, Yaoyin Li, Xu Zhang, Zichao Ma, Zhihua Xiao, Guoqiang Yu, Xin Wang, Junwei Liu, Zhongrui Wang, Kang L. Wang, Qiming Shao:
Cryogenic in-memory computing using tunable chiral edge states. CoRR abs/2209.09443 (2022) - 2021
- [c32]Mengfan Wang, Boyu Lyu, Guoqiang Yu:
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation. ICML 2021: 10839-10848 - 2020
- [j20]Yizhi Wang, Congchao Wang, Petter Ranefall, Gerard Broussard, Yinxue Wang, Guilai Shi, Boyu Lyu, Chiung-Ting Wu, Yue Wang, Lin Tian, Guoqiang Yu:
SynQuant: an automatic tool to quantify synapses from microscopy images. Bioinform. 36(5): 1599-1606 (2020) - [j19]Chiung-Ting Wu, Yizhi Wang, Yinxue Wang, Timothy M. D. 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. Bioinform. 36(9): 2862-2871 (2020)
2010 – 2019
- 2019
- [j18]Jun Ruan, Zhen Liu, Ming Sun, Yue Wang, Junqiu Yue, Guoqiang Yu:
DBS: a fast and informative segmentation algorithm for DNA copy number analysis. BMC Bioinform. 20(1): 1:1-1:14 (2019) - [j17]Chong Huang, Siavash Mazdeyasna, Li Chen, Elie G. Abu Jawdeh, Henrietta S. Bada, Kathryn Saatman, Lei Chen, Guoqiang Yu:
Noninvasive noncontact speckle contrast diffuse correlation tomography of cerebral blood flow in rats. NeuroImage 198: 160-169 (2019) - [c31]Congchao Wang, Yizhi Wang, Yinxue Wang, Chiung-Ting Wu, Guoqiang Yu:
muSSP: Efficient Min-cost Flow Algorithm for Multi-object Tracking. NeurIPS 2019: 423-432 - [i1]Congchao Wang, Yizhi Wang, Guoqiang Yu:
Efficient Global Multi-object Tracking Under Minimum-cost Circulation Framework. CoRR abs/1911.00796 (2019) - 2018
- [c30]Qiming Shao, Guoqiang Yu, Lei Pan, Xiaoyu Che, Yabin Fan, Koichi Murata, Qing-Lin He, Tianxiao Nie, Xufeng Kou, Kang L. Wang:
Large Room Temperature Charge-to-Spin Conversion Efficiency in Topological Insulator/CoFeB bilayers. DRC 2018: 1-2 - [c29]Yinxue Wang, Maria Ali, Yue Joseph Wang, Sarah Kucenas, Guoqiang Yu:
Detection and tracking of migrating oligodendrocyte progenitor cells from in vivo fluorescence time-lapse imaging data. ISBI 2018: 961-964 - [c28]Siavash Mazdeyasna, Chong Huang, Mingjun Zhao, Alisha R. Bonaroti, Kathryn Saatman, Lei Chen, Elie G. Abu Jawdeh, Henrietta S. Bada, Brandon A. Miller, Lesley Wong, Guoqiang Yu:
Noninvasive Noncontact 3D Optical Imaging of Blood Flow Distributions in Animals and Humans. ISSPIT 2018: 129-134 - [c27]Siavash Mazdeyasna, Chong Huang, Mingjun Zhao, Alisha R. Bonaroti, Kathryn Saatman, Lei Chen, Elie G. Abu Jawdeh, Henrietta S. Bada, Brandon A. Miller, Lesley Wong, Guoqiang Yu:
Noninvasive Noncontact 3D Optical Imaging of Blood Flow Distributions in Animals and Humans. ISSPIT 2018: 441-446 - 2017
- [j16]Yiming Zuo, Yi Cui, Guoqiang Yu, Ruijiang Li, Habtom W. Ressom:
Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO. BMC Bioinform. 18(1): 99:1-99:14 (2017) - [j15]Yinxue Wang, Guilai Shi, David J. Miller, Yizhi Wang, Congchao Wang, Gerard Broussard, Yue Wang, Lin Tian, Guoqiang Yu:
Automated Functional Analysis of Astrocytes from Chronic Time-Lapse Calcium Imaging Data. Frontiers Neuroinformatics 11: 48 (2017) - [j14]Chong Huang, Daniel Irwin, Mingjun Zhao, Yu Shang, Nneamaka Agochukwu, Lesley Wong, Guoqiang Yu:
Noncontact 3-D Speckle Contrast Diffuse Correlation Tomography of Tissue Blood Flow Distribution. IEEE Trans. Medical Imaging 36(10): 2068-2076 (2017) - [c26]Chase Haddix, Ahmed A. Bahrani, Aleksandra Kawala-Janik, Walter G. Besio, Guoqiang Yu, Sridhar Sunderam:
Trial measurement of movement-related cortical dynamics using electroencephalography and diffuse correlation spectroscopy. MMAR 2017: 642-645 - 2016
- [j13]Ibrahim Youssef, Robert Clarke, Ie-Ming Shih, Yue Joseph Wang, Guoqiang Yu:
Biologically inspired survival analysis based on integrating gene expression as mediator with genomic variants. Comput. Biol. Medicine 77: 231-239 (2016) - [j12]Kang L. Wang, Xufeng Kou, Pramey Upadhyaya, Yabin Fan, Qiming Shao, Guoqiang Yu, Pedram Khalili Amiri:
Electric-Field Control of Spin-Orbit Interaction for Low-Power Spintronics. Proc. IEEE 104(10): 1974-2008 (2016) - [j11]Minkun Wang, Guoqiang Yu, Habtom W. Ressom:
Integrative Analysis of Proteomic, Glycomic, and Metabolomic Data for Biomarker Discovery. IEEE J. Biomed. Health Informatics 20(5): 1225-1231 (2016) - [c25]Minkun Wang, Cristina Di Poto, Alessia Ferrarini, Guoqiang Yu, Habtom W. Ressom:
Metabolomic data deconvolution using probabilistic purification models. BIBM 2016: 204-209 - [c24]Yinxue Wang, Guilai Shi, David J. Miller, Yizhi Wang, Gerard Broussard, Yue Wang, Lin Tian, Guoqiang Yu:
FASP: A machine learning approach to functional astrocyte phenotyping from time-lapse calcium imaging data. ISBI 2016: 351-354 - [c23]Yizhi Wang, David J. Miller, Kira Poskanzer, Yue Wang, Lin Tian, Guoqiang Yu:
Graphical Time Warping for Joint Alignment of Multiple Curves. NIPS 2016: 3648-3656 - 2015
- [c22]Minkun Wang, Tsung-Heng Tsai, Guoqiang Yu, Habtom W. Ressom:
Purification of LC/GC-MS based biomolecular expression profiles using a topic model. BIBM 2015: 228-233 - [c21]Yiming Zuo, Guoqiang Yu, Habtom W. Ressom:
Integrating prior biological knowledge and graphical LASSO for network inference. BIBM 2015: 1543-1547 - [c20]Minkun Wang, Guoqiang Yu, Habtom W. Ressom:
Integrative analysis of LC-MS based glycomic and proteomic data. EMBC 2015: 8185-8188 - 2014
- [j10]Bai Zhang, Xuchu Hou, Xiguo Yuan, Ie-Ming Shih, Zhen Zhang, Robert Clarke, Roger R. Wang, Yi Fu, Subha Madhavan, Yue Joseph Wang, Guoqiang Yu:
AISAIC: a software suite for accurate identification of significant aberrations in cancers. Bioinform. 30(3): 431-433 (2014) - [j9]Ye Tian, Sean S. Wang, Zhen Zhang, Olga C. Rodriguez, Emanuel Petricoin III, Ie-Ming Shih, Daniel Chan, Maria Avantaggiati, Guoqiang Yu, Shaozhen Ye, Robert Clarke, Chao Wang, Bai Zhang, Yue Joseph Wang, Chris Albanese:
Integration of Network Biology and Imaging to Study Cancer Phenotypes and Responses. IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 1009-1019 (2014) - [c19]Yiming Zuo, Guoqiang Yu, Chi Zhang, Habtom W. Ressom:
A new approach for multi-omic data integration. BIBM 2014: 214-217 - [c18]Ibrahim Mohamed Ibrahim, Guoqiang Yu, Li Chen, Yue Wang:
Enhancing the convex analysis of mixtures technique for estimating DCE-MRI pharmacokinetic parameters. EMBC 2014: 6434-6437 - [c17]Yinxue Wang, Luca Bello, Yue Wang, Craig M. McDonald, Eric P. Hoffman, Guoqiang Yu:
Predicting age at loss of ambulation in Duchenne muscular dystrophy with deep phenotypic measures. GlobalSIP 2014: 1344-1347 - [c16]Guoqiang Yu, Niya Wang, Roger R. Wang, Sean S. Wang, Yue Wang:
A feasible roadmap to identifying significant intercellular genomic heterogeneity in deep sequencing data. GlobalSIP 2014: 1364-1367 - [c15]Ye Tian, Bai Zhang, Yi Fu, Guoqiang Yu, Yue Wang:
A statistical approach to identifying significant transgenerational methylation changes. GlobalSIP 2014: 1394-1397 - 2013
- [j8]Lixin Dong, Lian He, Yu Lin, Yu Shang, Guoqiang Yu:
Simultaneously Extracting Multiple Parameters via Fitting One Single Autocorrelation Function Curve in Diffuse Correlation Spectroscopy. IEEE Trans. Biomed. Eng. 60(2): 361-368 (2013) - [c14]Minkun Wang, Guoqiang Yu, Yehia Mechref, Habtom W. Ressom:
GPA: An algorithm for LC/MS based glycan profile annotation. BIBM 2013: 16-22 - [c13]Yiming Zuo, Guoqiang Yu, Mahlet G. Tadesse, Habtom W. Ressom:
Reconstructing biological networks using low order partial correlation. BIBM 2013: 171-175 - 2012
- [j7]Ran Cheng, Yu Shang, Don Hayes Jr., Sibu P. Saha, Guoqiang Yu:
Noninvasive optical evaluation of spontaneous low frequency oscillations in cerebral hemodynamics. NeuroImage 62(3): 1445-1454 (2012) - [c12]Xuchu Hou, Guoqiang Yu, Xiguo Yuan, Bai Zhang, Ie-Ming Shih, Zhen Zhang, Robert Clarke, Subha Madhavan:
Accurate identification of significant aberrations in contaminated cancer genome. GENSiPS 2012: 74-77 - [c11]Mohammed Elhenawy, Guoqiang Yu:
NMF based approach for finding recurrent aberrations in DNA copy number data. GENSiPS 2012: 82-85 - [c10]Mohammed Elhenawy, Xuchu Hou, Guoqiang Yu:
A non-parametric approach for estimating stromal contamination in cancer samples. GENSiPS 2012: 126-129 - 2011
- [b1]Guoqiang Yu:
Machine Learning to Interrogate High-throughput Genomic Data: Theory and Applications. Virginia Tech, Blacksburg, VA, USA, 2011 - [j6]Guoqiang Yu, Huai Li, Sook S. Ha, Ie-Ming Shih, Robert Clarke, Eric P. Hoffman, Subha Madhavan, Jianhua Xuan, Yue Joseph Wang:
PUGSVM: a caBIGTM analytical tool for multiclass gene selection and predictive classification. Bioinform. 27(5): 736-738 (2011) - [j5]Guoqiang Yu, Bai Zhang, G. Steven Bova, Jianfeng Xu, Ie-Ming Shih, Yue Joseph Wang:
BACOM: in silico detection of genomic deletion types and correction of normal cell contamination in copy number data. Bioinform. 27(11): 1473-1480 (2011) - 2010
- [j4]Yuanjian Feng, Guoqiang Yu, Tian-Li Wang, Ie-Ming Shih, Yue Joseph Wang:
Analysing DNA copy number changes using Fused Margin Regression. Int. J. Funct. Informatics Pers. Medicine 3(1): 3-15 (2010) - [j3]Guoqiang Yu, Yuanjian Feng, David J. Miller, Jianhua Xuan, Eric P. Hoffman, Robert Clarke, Ben Davidson, Ie-Ming Shih, Yue Joseph Wang:
Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases. J. Mach. Learn. Res. 11: 2141-2167 (2010)
2000 – 2009
- 2009
- [j2]David J. Miller, Yanxin Zhang, Guoqiang Yu, Yongmei Liu, Li Chen, Carl D. Langefeld, David M. Herrington, Yue Joseph Wang:
An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions. Bioinform. 25(19): 2478-2485 (2009) - [c9]Guoqiang Yu, Bai Zhang, Jianfeng Xu, Ie-Ming Shih, Yue Joseph Wang:
Accurate Estimation of Genomic Deletions and Normal Cell Contamination by Bayesian Analysis of Mixtures. BIBM 2009: 332-337 - [c8]Yuanjian Feng, Guoqiang Yu, Tian-Li Wang, Ie-Ming Shih, Yue Joseph Wang:
Analyzing DNA Copy Number Changes Using Fused Margin Regression. BIBM 2009: 388-391 - 2006
- [j1]Shiliang Sun, Changshui Zhang, Guoqiang Yu:
A bayesian network approach to traffic flow forecasting. IEEE Trans. Intell. Transp. Syst. 7(1): 124-132 (2006) - [c7]Guoqiang Yu, Jin Zhang, Li Zhang, Zhiqiang Chen, Yuanjing Li:
Combining Iterative Inverse Filter with Shock Filter for Baggage Inspection Image Deblurring. ACCV (2) 2006: 264-273 - [c6]Jianwei Gu, Li Zhang, Guoqiang Yu, Yuxiang Xing, Zhiqiang Chen:
Metal artifacts reduction in CT images through Euler's elastica and curvature based sinogram inpainting. Image Processing 2006: 614465 - 2005
- [c5]Guoqiang Yu, Liang Li, Jianwei Gu, Li Zhang:
Total Variation Based Iterative Image Reconstruction. CVBIA 2005: 526-534 - 2004
- [c4]Shiliang Sun, Changshui Zhang, Guoqiang Yu, Naijiang Lu, Fei Xiao:
Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data. ECML 2004: 419-428 - [c3]Guoqiang Yu, Changshui Zhang:
Switching ARIMA model based forecasting for traffic flow. ICASSP (2) 2004: 429-432 - [c2]Changshui Zhang, Shiliang Sun, Guoqiang Yu:
Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data. ISNN (2) 2004: 950-955 - 2003
- [c1]Jianming Hu, Jingyan Song, Guoqiang Yu, Yi Zhang:
A novel networked traffic parameter forecasting method based on Markov chain model. SMC 2003: 3595-3600
Coauthor Index
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last updated on 2024-12-26 01:53 CET by the dblp team
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