Drosophila gene expression pattern annotation using sparse features and term-term interactions. - Shuiwang Ji; Lei Yuan 001; Ying-Xin Li; Zhi-Hua Zhou; Sudhir Kumar 001; Jieping Ye (KDD, 2009)

An efficient algorithm for a class of fused lasso problems. - Jun Liu 003; Lei Yuan 001; Jieping Ye (KDD, 2010)

A multi-task learning formulation for predicting disease progression. - Jiayu Zhou; Lei Yuan 001; Jun Liu 003; Jieping Ye (KDD, 2011)

Feature grouping and selection over an undirected graph. - Sen Yang 004; Lei Yuan 001; Ying-Cheng Lai; Xiaotong Shen; Peter Wonka; Jieping Ye (KDD, 2012)

Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data. - Lei Yuan 001; Yalin Wang 001; Paul M. Thompson; Vaibhav A. Narayan; Jieping Ye (KDD, 2012)

Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval. - Lei Yuan 001; Alexander Woodard; Shuiwang Ji; Yuan Jiang 001; Zhi-Hua Zhou; Sudhir Kumar 001; Jieping Ye (BMC Bioinform., 2012)

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data. - Lei Yuan 001; Yalin Wang 001; Paul M. Thompson; Vaibhav A. Narayan; Jieping Ye (NeuroImage, 2012)

Guaranteed Sparse Recovery under Linear Transformation. - Ji Liu 002; Lei Yuan 001; Jieping Ye (ICML (3), 2013)

Multi-source learning with block-wise missing data for Alzheimer's disease prediction. - Shuo Xiang; Lei Yuan 001; Wei Fan 001; Yalin Wang 001; Paul M. Thompson; Jieping Ye (KDD, 2013)

FeaFiner: biomarker identification from medical data through feature generalization and selection. - Jiayu Zhou; Zhaosong Lu; Jimeng Sun 001; Lei Yuan 001; Fei Wang 001; Jieping Ye (KDD, 2013)

Image-level and group-level models for Drosophila gene expression pattern annotation. - Qian Sun 002; Sherin Muckatira; Lei Yuan 001; Shuiwang Ji; Stuart J. Newfeld; Sudhir Kumar 001; Jieping Ye (BMC Bioinform., 2013)

Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis. - Yalin Wang 001; Lei Yuan 001; Jie Shi 001; Alexander Greve; Jieping Ye; Arthur W. Toga; Allan L. Reiss; Paul M. Thompson (NeuroImage, 2013)

Efficient Methods for Overlapping Group Lasso. - Lei Yuan 001; Jun Liu 003; Jieping Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Structured Sparse Learning and Its Applications to Biomedical and Biological Data. - Lei Yuan 001 (2013)

Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression. - Lei Yuan 001; Cheng Pan; Shuiwang Ji; Michael McCutchan; Zhi-Hua Zhou; Stuart J. Newfeld; Sudhir Kumar 001; Jieping Ye (Bioinform., 2014)

Bi-level multi-source learning for heterogeneous block-wise missing data. - Shuo Xiang; Lei Yuan 001; Wei Fan 001; Yalin Wang 001; Paul M. Thompson; Jieping Ye (NeuroImage, 2014)

DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. - Hanlin Tang; Xiangru Lian; Shuang Qiu; Lei Yuan 001; Ce Zhang 001; Tong Zhang 001; Ji Liu 002 (CoRR, 2019)

Themes Inferred Audio-visual Correspondence Learning. - Runze Su; Fei Tao; Xudong Liu; Haoran Wei; Xiaorong Mei; Zhiyao Duan; Lei Yuan 001; Ji Liu 002; Yuying Xie (CoRR, 2020)

Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach. - Yunjie Zhang; Fei Tao; Xudong Liu; Runze Su; Xiaorong Mei; Weicong Ding; Zhichen Zhao; Lei Yuan 001; Ji Liu 002 (CoRR, 2020)

PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic. - Weicong Ding; Hanlin Tang; Jingshuo Feng; Lei Yuan 001; Sen Yang 004; Guangxu Yang; Jie Zheng; Jing Wang 050; Qiang Su; Dong Zheng; Xuezhong Qiu; Yongqi Liu; et al. (CoRR, 2021)

Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. - Xiangru Lian; Binhang Yuan; Xuefeng Zhu; Yulong Wang; Yongjun He 004; Honghuan Wu; Lei Sun; Haodong Lyu; Chengjun Liu; Xing Dong; Yiqiao Liao; Mingnan Luo; et al. (KDD, 2022)