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Lei Yuan 0001
Person information
- affiliation: Kuaishou Technology, Seattle AI Lab, WA, USA
- affiliation (former): Kwai Inc., Seattle AI Lab, FeDA Lab, WA, USA
- affiliation (PhD 2013): Arizona State University, Biodesign Institute, School of Computing, Tempe, AZ, USA
Other persons with the same name
- Lei Yuan — disambiguation page
- Lei Yuan 0002
— Lanzhou University, School of Information Science and Engineering, China (and 1 more)
- Lei Yuan 0003
- Lei Yuan 0004
- Lei Yuan 0005
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2020 – today
- 2022
- [c10]Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. KDD 2022: 3288-3298 - 2021
- [i5]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:
PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic. CoRR abs/2108.09076 (2021) - [i4]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:
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. CoRR abs/2111.05897 (2021) - 2020
- [i3]Runze Su, Fei Tao, Xudong Liu, Haoran Wei, Xiaorong Mei, Zhiyao Duan, Lei Yuan, Ji Liu, Yuying Xie:
Themes Inferred Audio-visual Correspondence Learning. CoRR abs/2009.06573 (2020) - [i2]Yunjie Zhang, Fei Tao, Xudong Liu, Runze Su, Xiaorong Mei, Weicong Ding, Zhichen Zhao, Lei Yuan, Ji Liu:
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach. CoRR abs/2010.12662 (2020)
2010 – 2019
- 2019
- [i1]Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu:
DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. CoRR abs/1907.07346 (2019) - 2014
- [j7]Lei Yuan, Cheng Pan, Shuiwang Ji
Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression. Bioinform. 30(2): 266-273 (2014) - [j6]Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang
Bi-level multi-source learning for heterogeneous block-wise missing data. NeuroImage 102: 192-206 (2014) - 2013
- [b1]Lei Yuan:
Structured Sparse Learning and Its Applications to Biomedical and Biological Data. Arizona State University, Tempe, USA, 2013 - [j5]Qian Sun, Sherin Muckatira, Lei Yuan, Shuiwang Ji
Image-level and group-level models for Drosophila gene expression pattern annotation. BMC Bioinform. 14: 350 (2013) - [j4]Yalin Wang
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis. NeuroImage 74: 209-230 (2013) - [j3]Lei Yuan, Jun Liu, Jieping Ye:
Efficient Methods for Overlapping Group Lasso. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2104-2116 (2013) - [c9]Ji Liu, Lei Yuan, Jieping Ye:
Guaranteed Sparse Recovery under Linear Transformation. ICML (3) 2013: 91-99 - [c8]Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang
Multi-source learning with block-wise missing data for Alzheimer's disease prediction. KDD 2013: 185-193 - [c7]Jiayu Zhou, Zhaosong Lu
FeaFiner: biomarker identification from medical data through feature generalization and selection. KDD 2013: 1034-1042 - 2012
- [j2]Lei Yuan, Alexander Woodard, Shuiwang Ji
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval. BMC Bioinform. 13: 107 (2012) - [j1]Lei Yuan, Yalin Wang
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data. NeuroImage 61(3): 622-632 (2012) - [c6]Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye:
Feature grouping and selection over an undirected graph. KDD 2012: 922-930 - [c5]Lei Yuan, Yalin Wang
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data. KDD 2012: 1149-1157 - 2011
- [c4]Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye:
A multi-task learning formulation for predicting disease progression. KDD 2011: 814-822 - [c3]Lei Yuan, Jun Liu, Jieping Ye:
Efficient Methods for Overlapping Group Lasso. NIPS 2011: 352-360 - 2010
- [c2]Jun Liu, Lei Yuan, Jieping Ye:
An efficient algorithm for a class of fused lasso problems. KDD 2010: 323-332
2000 – 2009
- 2009
- [c1]Shuiwang Ji
Drosophila gene expression pattern annotation using sparse features and term-term interactions. KDD 2009: 407-416
Coauthor Index
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