Optimal Fuzzy Modeling Based on Minimum Cluster Volume. - Can Yang 002; Jun Meng (ADMA, 2005)

Cluster-Based Input Selection for Transparent Fuzzy Modeling. - Can Yang 002; Jun Meng; Shanan Zhu (Int. J. Data Warehous. Min., 2006)

Peak bagging for peptide mass fingerprinting. - Zengyou He; Can Yang 002; Weichuan Yu (Bioinform., 2008)

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies. - Can Yang 002; Zengyou He; Xiang Wan; Qiang Yang 001; Hong Xue 001; Weichuan Yu (Bioinform., 2009)

MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study. - Xiang Wan; Can Yang 002; Qiang Yang 001; Hong Xue 001; Nelson L. S. Tang; Weichuan Yu (BMC Bioinform., 2009)

Predictive rule inference for epistatic interaction detection in genome-wide association studies. - Xiang Wan; Can Yang 002; Qiang Yang 001; Hong Xue 001; Nelson L. S. Tang; Weichuan Yu (Bioinform., 2010)

Detecting two-locus associations allowing for interactions in genome-wide association studies. - Xiang Wan; Can Yang 002; Qiang Yang 001; Hong Xue 001; Nelson L. S. Tang; Weichuan Yu (Bioinform., 2010)

Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso. - Can Yang 002; Xiang Wan; Qiang Yang 001; Hong Xue 001; Weichuan Yu (BMC Bioinform., 2010)

BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies - Xiang Wan; Can Yang 002; Qiang Yang 001; Hong Xue 001; Xiaodan Fan; Nelson L. S. Tang; Weichuan Yu (CoRR, 2010)

Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification. - Zengyou He; Chao Yang; Can Yang 002; Robert Z. Qi; Jason Po-Ming Tam; Weichuan Yu (J. Comput. Biol., 2010)

Identifying disease-associated SNP clusters via contiguous outlier detection. - Can Yang 002; Xiaowei Zhou 001; Xiang Wan; Qiang Yang 001; Hong Xue 001; Weichuan Yu (Bioinform., 2011)

GBOOST: a GPU-based tool for detecting gene-gene interactions in genome-wide case control studies. - Ling Sing Yung; Can Yang 002; Xiang Wan; Weichuan Yu (Bioinform., 2011)

Motif-All: discovering all phosphorylation motifs. - Zengyou He; Can Yang 002; Guangyu Guo; Ning Li; Weichuan Yu (BMC Bioinform., 2011)

The choice of null distributions for detecting gene-gene interactions in genome-wide association studies. - Can Yang 002; Xiang Wan; Zengyou He; Qiang Yang 001; Hong Xue 001; Weichuan Yu (BMC Bioinform., 2011)

A hidden two-locus disease association pattern in genome-wide association studies. - Can Yang 002; Xiang Wan; Qiang Yang 001; Hong Xue 001; Nelson L. S. Tang; Weichuan Yu (BMC Bioinform., 2011)

A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data. - Zengyou He; Can Yang 002; Weichuan Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Automatic mitral leaflet tracking in echocardiography by outlier detection in the low-rank representation. - Xiaowei Zhou 001; Can Yang 002; Weichuan Yu (CVPR, 2012)

Comments on 'An empirical comparison of several recent epistatic interaction detection methods'. - Xiang Wan; Can Yang 002; Weichuan Yu (Bioinform., 2012)

Peptide Reranking with Protein-Peptide Correspondence and Precursor Peak Intensity Information. - Chao Yang; Zengyou He; Can Yang 002; Weichuan Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping. - Can Yang 002; Lin Wang; Shuqin Zhang; Hongyu Zhao 003 (Bioinform., 2013)

ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics. - Ting Huang; Haipeng Gong; Can Yang 002; Zengyou He (Comput. Biol. Chem., 2013)

Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation. - Xiaowei Zhou 001; Can Yang 002; Weichuan Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

HapBoost: A Fast Approach to Boosting Haplotype Association Analyses in Genome-Wide Association Studies. - Xiang Wan; Can Yang 002; Qiang Yang 001; Hongyu Zhao 003; Weichuan Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Multisample aCGH Data Analysis via Total Variation and Spectral Regularization. - Xiaowei Zhou 001; Can Yang 002; Xiang Wan; Hongyu Zhao 003; Weichuan Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Low-Rank Modeling and Its Applications in Image Analysis. - Xiaowei Zhou 001; Can Yang 002; Hongyu Zhao 003; Weichuan Yu (ACM Comput. Surv., 2014)

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements. - Wenfei Cao; Yao Wang 003; Jian Sun 009; Deyu Meng; Can Yang 002; Andrzej Cichocki; Zongben Xu (CoRR, 2015)

Folded-concave penalization approaches to tensor completion. - Wenfei Cao; Yao Wang 003; Can Yang 002; Xiangyu Chang; Zhi Han; Zongben Xu (Neurocomputing, 2015)

EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes. - Jin Liu 011; Xiang Wan; Shuangge Ma; Can Yang 002 (Bioinform., 2016)

Computing exact permutation p-values for association rules. - Jun Wu; Zengyou He; Feiyang Gu; Xiaoqing Liu; Jianyu Zhou; Can Yang 002 (Inf. Sci., 2016)

Mathematical Design of a Novel Gesture-Based Instruction/Input Device Using Wave Detection. - Hongyu Liu 001; Yuliang Wang; Can Yang 002 (SIAM J. Imaging Sci., 2016)

Efficient Drug-Pathway Association Analysis via Integrative Penalized Matrix Decomposition. - Cong Li; Can Yang 002; Greg Hather; Ray Liu; Hongyu Zhao 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Exploring the Genetic Patterns of Complex Diseases via the Integrative Genome-Wide Approach. - Ben Teng; Can Yang 002; Jiming Liu 001; Zhipeng Cai 001; Xiang Wan (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements. - Wenfei Cao; Yao Wang 003; Jian Sun 009; Deyu Meng; Can Yang 002; Andrzej Cichocki; Zongben Xu (IEEE Trans. Image Process., 2016)

IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies. - Mingwei Dai; Jingsi Ming; Mingxuan Cai; Jin Liu 011; Can Yang 002; Xiang Wan; Zongben Xu (Bioinform., 2017)

LLR: a latent low-rank approach to colocalizing genetic risk variants in multiple GWAS. - Jin Liu 011; Xiang Wan; Chaolong Wang; Chao Yang; Xiaowei Zhou 001; Can Yang 002 (Bioinform., 2017)

Leveraging functional annotations in genetic risk prediction for human complex diseases. - Yiming Hu; Qiongshi Lu; Ryan Powles; Xinwei Yao 002; Can Yang 002; Fang Fang; Xinran Xu; Hongyu Zhao 003 (PLoS Comput. Biol., 2017)

Comparison of Facial Emotion Recognition Based on Image Visual Features and EEG Features. - Yanfang Long; Wanzeng Kong; Wenfen Ling; Can Yang 002; Jieyong Zhu (ICCSIP (2), 2018)

LSMM: a statistical approach to integrating functional annotations with genome-wide association studies. - Jingsi Ming; Mingwei Dai; Mingxuan Cai; Xiang Wan; Jin Liu 011; Can Yang 002 (Bioinform., 2018)

Facial Emotion Recognition Based on Brain and Machine Collaborative Intelligence. - Wenfen Ling; Wanzeng Kong; Yanfang Long; Can Yang 002; Xuanyu Jin (CIVEMSA, 2019)

Deep Generative Learning via Variational Gradient Flow. - Yuan Gao 044; Yuling Jiao; Yang Wang; Yao Wang 003; Can Yang 002; Shunkang Zhang (ICML, 2019)

Visualizing Emotional States: A Method Based on Human Brain Activity. - Yanfang Long; Wanzeng Kong; Xuanyu Jin; Jili Shang; Can Yang 002 (HBAI@IJCAI, 2019)

Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy. - Mingwei Dai; Xiang Wan; Hao Peng; Yao Wang 003; Yue Liu; Jin Liu 011; Zongben Xu; Can Yang 002 (Bioinform., 2019)

VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies. - Xingjie Shi; Yuling Jiao; Yi Yang 028; Ching-Yu Cheng; Can Yang 002; Xinyi Lin; Jin Liu 011 (Bioinform., 2019)

CoMM: a collaborative mixed model to dissecting genetic contributions to complex traits by leveraging regulatory information. - Can Yang 002; Xiang Wan; Xinyi Lin; Mengjie Chen; Xiang Zhou; Jin Liu 011 (Bioinform., 2019)

Wasserstein-Wasserstein Auto-Encoders. - Shunkang Zhang; Yuan Gao 044; Yuling Jiao; Jin Liu 011; Yang Wang; Can Yang 002 (CoRR, 2019)

Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. - Jiafa He; Chengwei Pan; Can Yang 002; Ming Zhang 004; Yang Wang; Xiaowei Zhou 001; Yizhou Yu (MICCAI (6), 2020)

LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations. - Jingsi Ming; Tao Wang; Can Yang 002 (Bioinform., 2020)

CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. - Yi Yang 028; Xingjie Shi; Yuling Jiao; Jian Huang 003; Min Chen; Xiang Zhou; Lei Sun; Xinyi Lin; Can Yang 002; Jin Liu 011 (Bioinform., 2020)

Bayesian weighted Mendelian randomization for causal inference based on summary statistics. - Jia Zhao; Jingsi Ming; Xianghong Hu; Gang Chen; Jin Liu 011; Can Yang 002 (Bioinform., 2020)

Special issue on genome wide association study. - Lin Hou; Qiongshi Lu; Can Yang 002; Hongyu Zhao 003 (Quant. Biol., 2021)

Direct-to-consumer genetic testing in China and its role in GWAS discovery and replication. - Kang Kang; Xue Sun; Lizhong Wang; Xiaotian Yao; Senwei Tang; Junjie Deng; Xiaoli Wu; Wegene Research Team; Can Yang 002; Gang Chen (Quant. Biol., 2021)

FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets. - Jingsi Ming; Zhixiang Lin; Jia Zhao; Xiang Wan; Tabula Microcebus Consortium; Can Yang 002; Angela Ruohao Wu (Briefings Bioinform., 2022)

XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis. - Jiashun Xiao; Mingxuan Cai; Xianghong Hu; Xiang Wan; Gang Chen; Can Yang 002 (Bioinform., 2022)

Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets. - 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; et al. (Nat. Comput. Sci., 2022)

Optimal Execution Using Reinforcement Learning. - Cong Zheng; Jiafa He; Can Yang 002 (CoRR, 2023)

Integrating Tick-level Data and Periodical Signal for High-frequency Market Making. - Jiafa He; Cong Zheng; Can Yang 002 (CoRR, 2023)

Provable Tensor Completion with Graph Information. - Kaidong Wang; Yao Wang 003; Xiuwu Liao; Shaojie Tang 001; Can Yang 002; Deyu Meng (CoRR, 2023)

PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations. - Xinyi Yu; Jiashun Xiao; Mingxuan Cai; Yuling Jiao; Xiang Wan; Jin Liu 011; Can Yang 002 (Bioinform., 2023)

stVAE deconvolves cell-type composition in large-scale cellular resolution spatial transcriptomics. - Chen Li; Ting-Fung Chan; Can Yang 002; Zhixiang Lin (Bioinform., 2023)

Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks. - Gefei Wang; Jia Zhao; Yan Yan; Yang Wang; Angela Ruohao Wu; Can Yang 002 (Nat. Mac. Intell., 2023)

Reconstructing Close Human Interactions from Multiple Views. - Qing Shuai; Zhiyuan Yu 006; Zhize Zhou; Lixin Fan; Haijun Yang; Can Yang 002; Xiaowei Zhou 001 (ACM Trans. Graph., 2023)

MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information. - Zhiwei Wang; Fa Zhang; Cong Zheng; Xianghong Hu; Mingxuan Cai; Can Yang 002 (J. Comput. Graph. Stat., 2024)

HumanRAM: Feed-forward Human Reconstruction and Animation Model using Transformers. - Zhiyuan Yu 006; Zhe Li; Hujun Bao; Can Yang 002; Xiaowei Zhou 001 (CoRR, 2025)