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ORCIDCan Yang 0002
Person information
- affiliation: Hong Kong University of Science and Technology, Department of Mathematics
- affiliation: Hong Kong Baptist University, Department of Mathematics
- affiliation (former): Yale University, Division of Biostatistics, New Haven, CT, USA
Other persons with the same name
- Can Yang — disambiguation page
- Can Yang 0001
![[0000-0001-5361-6034]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5361-6034")
— KTH - Royal Institution of Technology, Division of Geoinformatics Sweden
Other persons with a similar name
- Yang Can Gong
- Zhong-Can Ou-Yang
- Yang-Can Xiao
- Can-Ming Yang
- Canjun Yang (aka: Can-jun Yang, Can-Jun Yang) — disambiguation page
- Guan-Can Yang
- Rong-Can Yang
- Can Yang Zhang
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2020 – today
- 2024
[i13]Qing Shuai, Zhiyuan Yu, Zhize Zhou, Lixin Fan, Haijun Yang, Can Yang, Xiaowei Zhou:
Reconstructing Close Human Interactions from Multiple Views. CoRR abs/2401.16173 (2024)- 2023
- [j48]Xinyi Yu, Jiashun Xiao, Mingxuan Cai, Yuling Jiao, Xiang Wan, Jin Liu, Can Yang:
PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations. Bioinform. 39(2) (2023) - [j47]Chen Li, Ting-Fung Chan, Can Yang, Zhixiang Lin:
stVAE deconvolves cell-type composition in large-scale cellular resolution spatial transcriptomics. Bioinform. 39(10) (2023) - [j46]Gefei Wang, Jia Zhao, Yan Yan, Yang Wang, Angela Ruohao Wu, Can Yang:
Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks. Nat. Mac. Intell. 5(11): 1200-1213 (2023) - [j45]Qing Shuai, Zhiyuan Yu, Zhize Zhou, Lixin Fan, Haijun Yang, Can Yang, Xiaowei Zhou:
Reconstructing Close Human Interactions from Multiple Views. ACM Trans. Graph. 42(6): 273:1-273:14 (2023) - [i12]Zhiwei Wang, Fa Zhang, Cong Zheng, Xianghong Hu, Mingxuan Cai, Can Yang:
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information. CoRR abs/2303.02566 (2023) - [i11]Cong Zheng, Jiafa He, Can Yang:
Optimal Execution Using Reinforcement Learning. CoRR abs/2306.17178 (2023) - [i10]Jiafa He, Cong Zheng, Can Yang:
Integrating Tick-level Data and Periodical Signal for High-frequency Market Making. CoRR abs/2306.17179 (2023) - [i9]Kaidong Wang, Yao Wang, Xiuwu Liao, Shaojie Tang, Can Yang, Deyu Meng:
Provable Tensor Completion with Graph Information. CoRR abs/2310.02543 (2023) - 2022
- [j44]Jingsi Ming, Zhixiang Lin, Jia Zhao, Xiang Wan, Tabula Microcebus Consortium, Can Yang, Angela Ruohao Wu:
FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets. Briefings Bioinform. 23(5) (2022) - [j43]Jiashun Xiao, Mingxuan Cai, Xianghong Hu, Xiang Wan, Gang Chen, Can Yang:
XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis. Bioinform. 38(7): 1947-1955 (2022) - [j42]Jia Zhao, Gefei Wang, Jingsi Ming, Zhixiang Lin, Yang Wang, Snigdha Agarwal, Aditi Agrawal, Ahmad Al-Moujahed, Alina Alam, Megan A. Albertelli, Paul Allegakoen, Thomas Ambrosi, Jane Antony, Steven Artandi, Fabienne Aujard, Kyle Awayan, Ankit Baghel, Isaac Bakerman, Trygve E. Bakken, Jalal Baruni, Philip Beachy, Biter Bilen, Olga B. Botvinnik, Scott D. Boyd, Deviana Burhan, Kerriann M. Casey, Charles Chan, Charles A. Chang, Stephen Chang, Ming Chen, Michael F. Clarke, Sheela Crasta, Rebecca Culver, Jessica D'Addabbo, Spyros Darmanis, Roozbeh Dehghannasiri, Song-Lin Ding, Connor V. Duffy, Jacques Epelbaum, F. Hernán Espinoza, Camille Ezran, Jean Farup, James E. Ferrell Jr, Hannah K. Frank, Margaret Fuller, Astrid Gillich, Elias Godoy, Dita Gratzinger, Lisbeth A. Guethlein, Yan Hang, Kazuteru Hasegawa, Rebecca D. Hodge, Malachia Hoover, Franklin W. Huang, Kerwyn Casey Huang, Shelly Huynh, Taichi Isobe, Carly Israel, Sori Jang, Qiuyu Jing, Robert C. Jones, Jengmin Kang, Caitlin J. Karanewsky, Jim Karkanias, Justus Kebschull, Aaron Kershner, Lily Kim, Seung K. Kim, E. Christopher Kirk, Winston Koh, Silvana Konermann, William Kong, Mark A. Krasnow, Christin Kuo, Corinne Lautier, Song Eun Lee, Ed S. Lein, Rebecca Lewis, Peng Li, Shengda Lin, Shixuan Liu, Yin Liu, Gabriel Loeb, Jonathan Z. Long, Wan-Jin Lu, Katherine Lucot, Liqun Luo, Aaron McGeever, Ross Metzger, Jingsi Ming, Thomas J. Montine, Antoine de Morree, Maurizio Morri, Karim Mrouj, Shravani Mukherjee, Ahmad Nabhan, Saba Nafees, Norma Neff, Patrick Neuhöfer, Patricia Nguyen, Jennifer Okamoto, Julia Eve Olivieri, Youcef Ouadah, Honor Paine, Peter Parham, Jozeph L. Pendleton, Lolita Penland, Martine Perret, Angela Oliveira Pisco, Zhen Qi, Stephen R. Quake, Ute Radespiel, Thomas A. Rando, Hajanirina Noëline Ravelonjanahary, Andriamahery Razafindrakoto, Julia Salzman, Nicholas Schaum, Robert Schopler, Bronwyn Scott, Liza Shapiro, Hosu Sin, Rahul Sinha, Rene Sit, Geoff Stanley, Lubert Stryer, Varun Ramanan Subramaniam, Aditi Swarup, Weilun Tan, Alexander Tarashansky, Aris Taychameekiatchai, Jérémy Terrien, Kyle J. Travaglini, Andoni Urtasun, Sivakamasundari, Avin Veerakumar, Venkata Naga Pranathi Vemuri, Jean-Michel Verdier, Iwijn De Vlaminck, Douglas Vollrath, Bo Wang, Bruce Wang, Gefei Wang, Michael F. Z. Wang, Sheng Wang, James Webber, Hannah Weinstein, Irving L. Weissman, Amanda L. Wiggenhorn, Cathy V. Williams, Patricia Wright, Albert Y. Wu, Angela Ruohao Wu, Tony Wyss-Coray, Bao Xiang, Jia Yan, Can Yang, Jinxurong Yang, Anne D. Yoder, Brian Yu, Andrea R. Yung, Yue Zhang, Jia Zhao, Zicheng Zhao:
Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets. Nat. Comput. Sci. 2(5): 317-330 (2022) - 2021
- [j41]Lin Hou, Qiongshi Lu, Can Yang, Hongyu Zhao:
Special issue on genome wide association study. Quant. Biol. 9(1): 105-106 (2021) - [j40]Kang Kang, Xue Sun, Lizhong Wang, Xiaotian Yao, Senwei Tang, Junjie Deng, Xiaoli Wu, Wegene Research Team, Can Yang, Gang Chen:
Direct-to-consumer genetic testing in China and its role in GWAS discovery and replication. Quant. Biol. 9(1): 201-215 (2021) - 2020
- [j39]Jia Zhao, Jingsi Ming, Xianghong Hu, Gang Chen, Jin Liu, Can Yang:
Bayesian weighted Mendelian randomization for causal inference based on summary statistics. Bioinform. 36(5): 1501-1508 (2020) - [j38]Yi Yang, Xingjie Shi, Yuling Jiao, Jian Huang, Min Chen, Xiang Zhou, Lei Sun, Xinyi Lin, Can Yang, Jin Liu:
CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. Bioinform. 36(7): 2009-2016 (2020) - [j37]Jingsi Ming, Tao Wang, Can Yang:
LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations. Bioinform. 36(8): 2506-2514 (2020) - [c8]Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu:
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. MICCAI (6) 2020: 24-34 - [i8]Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu:
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. CoRR abs/2012.07262 (2020)
2010 – 2019
- 2019
- [j36]Can Yang, Xiang Wan, Xinyi Lin, Mengjie Chen, Xiang Zhou, Jin Liu:
CoMM: a collaborative mixed model to dissecting genetic contributions to complex traits by leveraging regulatory information. Bioinform. 35(10): 1644-1652 (2019) - [j35]Mingwei Dai, Xiang Wan, Hao Peng, Yao Wang, Yue Liu, Jin Liu, Zongben Xu, Can Yang:
Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy. Bioinform. 35(10): 1729-1736 (2019) - [j34]Xingjie Shi, Yuling Jiao, Yi Yang, Ching-Yu Cheng, Can Yang, Xinyi Lin, Jin Liu:
VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies. Bioinform. 35(19): 3693-3700 (2019) - [c7]Wenfen Ling, Wanzeng Kong, Yanfang Long, Can Yang, Xuanyu Jin:
Facial Emotion Recognition Based on Brain and Machine Collaborative Intelligence. CIVEMSA 2019: 1-5 - [c6]Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang:
Deep Generative Learning via Variational Gradient Flow. ICML 2019: 2093-2101 - [c5]Yanfang Long, Wanzeng Kong, Xuanyu Jin, Jili Shang, Can Yang:
Visualizing Emotional States: A Method Based on Human Brain Activity. HBAI@IJCAI 2019: 248-258 - [i7]Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang:
Deep Generative Learning via Variational Gradient Flow. CoRR abs/1901.08469 (2019) - [i6]Shunkang Zhang, Yuan Gao, Yuling Jiao, Jin Liu, Yang Wang, Can Yang:
Wasserstein-Wasserstein Auto-Encoders. CoRR abs/1902.09323 (2019) - 2018
- [j33]Jingsi Ming, Mingwei Dai, Mingxuan Cai, Xiang Wan, Jin Liu, Can Yang:
LSMM: a statistical approach to integrating functional annotations with genome-wide association studies. Bioinform. 34(16): 2788-2796 (2018) - [c4]Yanfang Long, Wanzeng Kong, Wenfen Ling, Can Yang, Jieyong Zhu:
Comparison of Facial Emotion Recognition Based on Image Visual Features and EEG Features. ICCSIP (2) 2018: 162-172 - 2017
- [j32]Mingwei Dai, Jingsi Ming, Mingxuan Cai, Jin Liu, Can Yang, Xiang Wan, Zongben Xu:
IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies. Bioinform. 33(18): 2882-2889 (2017) - [j31]Jin Liu, Xiang Wan, Chaolong Wang, Chao Yang, Xiaowei Zhou, Can Yang:
LLR: a latent low-rank approach to colocalizing genetic risk variants in multiple GWAS. Bioinform. 33(24): 3878-3886 (2017) - [j30]Yiming Hu, Qiongshi Lu, Ryan Powles, Xinwei Yao, Can Yang, Fang Fang, Xinran Xu, Hongyu Zhao:
Leveraging functional annotations in genetic risk prediction for human complex diseases. PLoS Comput. Biol. 13(6) (2017) - 2016
- [j29]Jin Liu, Xiang Wan, Shuangge Ma, Can Yang:
EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes. Bioinform. 32(12): 1856-1864 (2016) - [j28]Jun Wu, Zengyou He, Feiyang Gu, Xiaoqing Liu, Jianyu Zhou, Can Yang:
Computing exact permutation p-values for association rules. Inf. Sci. 346-347: 146-162 (2016) - [j27]Hongyu Liu, Yuliang Wang, Can Yang:
Mathematical Design of a Novel Gesture-Based Instruction/Input Device Using Wave Detection. SIAM J. Imaging Sci. 9(2): 822-841 (2016) - [j26]Cong Li, Can Yang, Greg Hather, Ray Liu, Hongyu Zhao:
Efficient Drug-Pathway Association Analysis via Integrative Penalized Matrix Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 13(3): 531-540 (2016) - [j25]Ben Teng, Can Yang, Jiming Liu, Zhipeng Cai, Xiang Wan:
Exploring the Genetic Patterns of Complex Diseases via the Integrative Genome-Wide Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 13(3): 557-564 (2016) - [j24]Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu:
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements. IEEE Trans. Image Process. 25(9): 4075-4090 (2016) - 2015
- [j23]Wenfei Cao, Yao Wang, Can Yang, Xiangyu Chang, Zhi Han, Zongben Xu:
Folded-concave penalization approaches to tensor completion. Neurocomputing 152: 261-273 (2015) - [i5]Ben Teng, Can Yang, Jiming Liu, Zhipeng Cai, Xiang Wan:
Exploring the genetic patterns of complex diseases via the integrative genome-wide approach. CoRR abs/1501.06396 (2015) - [i4]Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu:
A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements. CoRR abs/1503.01868 (2015) - 2014
- [j22]Xiaowei Zhou, Can Yang, Hongyu Zhao, Weichuan Yu:
Low-Rank Modeling and Its Applications in Image Analysis. ACM Comput. Surv. 47(2): 36:1-36:33 (2014) - [i3]Xiaowei Zhou, Can Yang, Hongyu Zhao, Weichuan Yu:
Low-Rank Modeling and Its Applications in Image Analysis. CoRR abs/1401.3409 (2014) - 2013
- [j21]Can Yang, Lin Wang, Shuqin Zhang, Hongyu Zhao:
Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping. Bioinform. 29(8): 1026-1034 (2013) - [j20]Ting Huang, Haipeng Gong, Can Yang, Zengyou He:
ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics. Comput. Biol. Chem. 43: 46-54 (2013) - [j19]Xiaowei Zhou, Can Yang, Weichuan Yu:
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 597-610 (2013) - [j18]Xiang Wan, Can Yang, Qiang Yang, Hongyu Zhao, Weichuan Yu:
HapBoost: A Fast Approach to Boosting Haplotype Association Analyses in Genome-Wide Association Studies. IEEE ACM Trans. Comput. Biol. Bioinform. 10(1): 207-212 (2013) - [j17]Xiaowei Zhou, Can Yang, Xiang Wan, Hongyu Zhao, Weichuan Yu:
Multisample aCGH Data Analysis via Total Variation and Spectral Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. 10(1): 230-235 (2013) - 2012
- [j16]Xiang Wan, Can Yang, Weichuan Yu:
Comments on 'An empirical comparison of several recent epistatic interaction detection methods'. Bioinform. 28(1): 145-146 (2012) - [j15]Chao Yang, Zengyou He, Can Yang, Weichuan Yu:
Peptide Reranking with Protein-Peptide Correspondence and Precursor Peak Intensity Information. IEEE ACM Trans. Comput. Biol. Bioinform. 9(4): 1212-1219 (2012) - [c3]Xiaowei Zhou, Can Yang, Weichuan Yu:
Automatic mitral leaflet tracking in echocardiography by outlier detection in the low-rank representation. CVPR 2012: 972-979 - 2011
- [j14]Ling Sing Yung, Can Yang, Xiang Wan, Weichuan Yu:
GBOOST: a GPU-based tool for detecting gene-gene interactions in genome-wide case control studies. Bioinform. 27(9): 1309-1310 (2011) - [j13]Can Yang, Xiaowei Zhou, Xiang Wan, Qiang Yang, Hong Xue, Weichuan Yu:
Identifying disease-associated SNP clusters via contiguous outlier detection. Bioinform. 27(18): 2578-2585 (2011) - [j12]Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Nelson L. S. Tang, Weichuan Yu:
A hidden two-locus disease association pattern in genome-wide association studies. BMC Bioinform. 12: 156 (2011) - [j11]Zengyou He, Can Yang, Guangyu Guo, Ning Li, Weichuan Yu:
Motif-All: discovering all phosphorylation motifs. BMC Bioinform. 12(S-1): S22 (2011) - [j10]Can Yang, Xiang Wan, Zengyou He, Qiang Yang, Hong Xue, Weichuan Yu:
The choice of null distributions for detecting gene-gene interactions in genome-wide association studies. BMC Bioinform. 12(S-1): S26 (2011) - [j9]Zengyou He, Can Yang, Weichuan Yu:
A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data. IEEE ACM Trans. Comput. Biol. Bioinform. 8(2): 368-380 (2011) - [i2]Xiaowei Zhou, Can Yang, Weichuan Yu:
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation. CoRR abs/1109.0882 (2011) - 2010
- [j8]Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Nelson L. S. Tang, Weichuan Yu:
Predictive rule inference for epistatic interaction detection in genome-wide association studies. Bioinform. 26(1): 30-37 (2010) - [j7]Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Nelson L. S. Tang, Weichuan Yu:
Detecting two-locus associations allowing for interactions in genome-wide association studies. Bioinform. 26(20): 2517-2525 (2010) - [j6]Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Weichuan Yu:
Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso. BMC Bioinform. 11(S-1): 18 (2010) - [j5]Zengyou He, Chao Yang, Can Yang, Robert Z. Qi, Jason Po-Ming Tam, Weichuan Yu:
Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification. J. Comput. Biol. 17(3): 221-235 (2010) - [i1]Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Xiaodan Fan, Nelson L. S. Tang, Weichuan Yu:
BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies. CoRR abs/1001.5130 (2010)
2000 – 2009
- 2009
- [j4]Can Yang, Zengyou He, Xiang Wan, Qiang Yang, Hong Xue, Weichuan Yu:
SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies. Bioinform. 25(4): 504-511 (2009) - [j3]Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Nelson L. S. Tang, Weichuan Yu:
MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study. BMC Bioinform. 10 (2009) - [c2]Zengyou He, Chao Yang, Can Yang, Robert Z. Qi, Jason Po-Ming Tam, Weichuan Yu:
Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification. RECOMB 2009: 16-30 - 2008
- [j2]Zengyou He, Can Yang, Weichuan Yu:
Peak bagging for peptide mass fingerprinting. Bioinform. 24(10): 1293-1299 (2008) - 2006
- [j1]Can Yang, Jun Meng, Shanan Zhu:
Cluster-Based Input Selection for Transparent Fuzzy Modeling. Int. J. Data Warehous. Min. 2(3): 57-75 (2006) - 2005
- [c1]Can Yang, Jun Meng:
Optimal Fuzzy Modeling Based on Minimum Cluster Volume. ADMA 2005: 232-239
Coauthor Index
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