Lei Yuan

According to our database, Lei Yuan authored at least 21 papers between 2009 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic.

Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen Yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu

CoRR, 2021

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, Ji Liu

CoRR, 2020

Themes Inferred Audio-visual Correspondence Learning.

Runze Su, Fei Tao, Xudong Liu, Haoran Wei, Xiaorong Mei, Zhiyao Duan, Lei Yuan, Ji Liu, Yuying Xie

CoRR, 2020

2019

DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.

Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu

CoRR, 2019

2014

Bi-level multi-source learning for heterogeneous block-wise missing data.

Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye

NeuroImage, 2014

Automated annotation of developmental stages of <i>Drosophila</i> embryos in images containing spatial patterns of expression.

Lei Yuan, Cheng Pan, Shuiwang Ji, Michael McCutchan, Zhi-Hua Zhou, Stuart J. Newfeld, Sudhir Kumar, Jieping Ye

Bioinform., 2014

2013

Structured Sparse Learning and Its Applications to Biomedical and Biological Data.

Lei Yuan

PhD thesis, 2013

Efficient Methods for Overlapping Group Lasso.

Lei Yuan, Jun Liu, Jieping Ye

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.

Yalin Wang, Lei Yuan, Jie Shi, Alexander Greve, Jieping Ye, Arthur W. Toga, Allan L. Reiss, Paul M. Thompson

NeuroImage, 2013

Image-level and group-level models for Drosophila gene expression pattern annotation.

Qian Sun, Sherin Muckatira, Lei Yuan, Shuiwang Ji, Stuart J. Newfeld, Sudhir Kumar, Jieping Ye

BMC Bioinform., 2013

FeaFiner: biomarker identification from medical data through feature generalization and selection.

Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-source learning with block-wise missing data for Alzheimer's disease prediction.

Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Guaranteed Sparse Recovery under Linear Transformation.

Ji Liu, Lei Yuan, Jieping Ye

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.

Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye

NeuroImage, 2012

Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.

Lei Yuan, Alexander Woodard, Shuiwang Ji, Yuan Jiang, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye

BMC Bioinform., 2012

Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data.

Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Feature grouping and selection over an undirected graph.

Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

A multi-task learning formulation for predicting disease progression.

Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

An efficient algorithm for a class of fused lasso problems.

Jun Liu, Lei Yuan, Jieping Ye

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Drosophila gene expression pattern annotation using sparse features and term-term interactions.

Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009