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ORCIDLu Sun 0001
Person information
- affiliation: ShanghaiTech University, China
- affiliation (former): Kyoto University, Japan
- affiliation (Ph.D., 2017): Hokkaido University, Sapporo, Japan
- unicode name: 孙 露
Other persons with the same name
- Lu Sun — disambiguation page
- Lu Sun 0002 — DJI Technology Co., Ltd. (and 1 more)
- Lu Sun 0003
![[0000-0002-0110-4165]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0110-4165")
— University of Ottawa, ON, Canada - Lu Sun 0004 — Dalian Maritime University, Dalian, China (and 1 more)
- Lu Sun 0005 — National University of Singapore, Singapore
- Lu Sun 0006 — University of Science and Technology of China, Hefei, China
- Lu Sun 0007 — Naval Aeronautical and Astronautical University, Yantai, China
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2020 – today
- 2024
[j5]Jiaqi Bao, Mineichi Kudo, Keigo Kimura, Lu Sun:
Redirected transfer learning for robust multi-layer subspace learning. Pattern Anal. Appl. 27(1): 25 (2024)- [j4]Jiaqi Bao, Mineichi Kudo, Keigo Kimura, Lu Sun:
Robust embedding regression for semi-supervised learning. Pattern Recognit. 145: 109894 (2024) - [c22]Ke Bian, Lu Sun, Dengji Zhao:
Learning Compact Neural Networks via Generalized Structured Sparsity. ECAI 2024: 2605-2612 - [c21]Tianxiao Cao, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression. IJCAI 2024: 3780-3788 - [c20]Jiahui Xu, Lu Sun, Dengji Zhao:
MoME: Mixture-of-Masked-Experts for Efficient Multi-Task Recommendation. SIGIR 2024: 2527-2531 - 2023
- [c19]Luhuan Fei, Lu Sun, Mineichi Kudo, Keigo Kimura:
Structured Sparse Multi-Task Learning with Generalized Group Lasso. ECAI 2023: 692-699 - [c18]Jiachun Jin, Jiankun Wang, Lu Sun, Jie Zheng, Mineichi Kudo:
Grouped Multi-Task Learning with Hidden Tasks Enhancement. ECAI 2023: 1164-1171 - [c17]Xinyi Wang, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning. ECAI 2023: 2560-2567 - [c16]Songjie Xie, Youlong Wu, Kewen Liao, Lu Chen, Chengfei Liu, Haifeng Shen, MingJian Tang, Lu Sun:
Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data. ICDE 2023: 2905-2918 - [c15]Weijia Lin, Jiankun Wang, Lu Sun, Mineichi Kudo, Keigo Kimura:
Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization. ICDM 2023: 398-407 - [c14]Zijian Yang, Zhiwei Li, Lu Sun:
Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning. IJCAI 2023: 4486-4494 - [c13]Haruhi Mizuguchi, Keigo Kimura, Mineichi Kudo, Lu Sun:
Partial Multi-label Learning with a Few Accurately Labeled Data. PRICAI (2) 2023: 79-90 - [c12]Zhiwei Li, Zijian Yang, Lu Sun, Mineichi Kudo, Keigo Kimura:
Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels. PRICAI (2) 2023: 124-130 - 2022
- [c11]Shumpei Morishita, Mineichi Kudo, Keigo Kimura, Lu Sun:
Realization of Autoencoders by Kernel Methods. S+SSPR 2022: 1-10 - [c10]Keigo Kimura, Jiaqi Bao, Mineichi Kudo, Lu Sun:
Retargeted Regression Methods for Multi-label Learning. S+SSPR 2022: 203-212 - [c9]Mineichi Kudo, Keigo Kimura, Shumpei Morishita, Lu Sun:
Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings. S+SSPR 2022: 223-232 - [i2]Zhiwei Li, Lu Sun, Mineichi Kudo, Kego Kimura:
CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels. CoRR abs/2201.01079 (2022)
2010 – 2019
- 2019
- [j3]Lu Sun, Mineichi Kudo:
Multi-label classification by polytree-augmented classifier chains with label-dependent features. Pattern Anal. Appl. 22(3): 1029-1049 (2019) - [c8]Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity. IJCAI 2019: 3499-3505 - [c7]Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning. IJCAI 2019: 3506-3512 - 2018
- [j2]Lu Sun, Mineichi Kudo:
Optimization of classifier chains via conditional likelihood maximization. Pattern Recognit. 74: 503-517 (2018) - 2017
- [j1]Lu Sun, Mineichi Kudo, Keigo Kimura:
READER: Robust Semi-Supervised Multi-Label Dimension Reduction. IEICE Trans. Inf. Syst. 100-D(10): 2597-2604 (2017) - [i1]Keigo Kimura, Lu Sun, Mineichi Kudo:
MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification. CoRR abs/1704.02592 (2017) - 2016
- [c6]Lu Sun, Mineichi Kudo, Keigo Kimura:
A Scalable Clustering-Based Local Multi-Label Classification Method. ECAI 2016: 261-268 - [c5]Keigo Kimura, Mineichi Kudo, Lu Sun, Sadamori Koujaku:
Fast random k-labELsets for large-scale multi-label classification. ICPR 2016: 438-443 - [c4]Lu Sun, Mineichi Kudo, Keigo Kimura:
Multi-label classification with meta-label-specific features. ICPR 2016: 1612-1617 - [c3]Batzaya Norov-Erdene, Mineichi Kudo, Lu Sun, Keigo Kimura:
Locality in multi-label classification problems. ICPR 2016: 2319-2324 - [c2]Keigo Kimura, Mineichi Kudo, Lu Sun:
Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification. S+SSPR 2016: 15-25 - 2015
- [c1]Lu Sun, Mineichi Kudo:
Polytree-Augmented Classifier Chains for Multi-Label Classification. IJCAI 2015: 3834-3840
Coauthor Index
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