Lu Sun

According to our database, Lu Sun authored at least 29 papers between 2015 and 2024.

Collaborative distances:

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

2024

Redirected transfer learning for robust multi-layer subspace learning.

Jiaqi Bao, Mineichi Kudo, Keigo Kimura, Lu Sun

Pattern Anal. Appl., March, 2024

Robust embedding regression for semi-supervised learning.

Jiaqi Bao, Mineichi Kudo, Keigo Kimura, Lu Sun

Pattern Recognit., January, 2024

MoME: Mixture-of-Masked-Experts for Efficient Multi-Task Recommendation.

Jiahui Xu, Lu Sun, Dengji Zhao

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression.

Tianxiao Cao, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Compact Neural Networks via Generalized Structured Sparsity.

Ke Bian, Lu Sun, Dengji Zhao

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Partial Multi-label Learning with a Few Accurately Labeled Data.

Haruhi Mizuguchi, Keigo Kimura, Mineichi Kudo, Lu Sun

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels.

Zhiwei Li, Zijian Yang, Lu Sun, Mineichi Kudo, Keigo Kimura

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning.

Zijian Yang, Zhiwei Li, Lu Sun

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization.

Weijia Lin, Jiankun Wang, Lu Sun, Mineichi Kudo, Keigo Kimura

Proceedings of the IEEE International Conference on Data Mining, 2023

Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data.

Songjie Xie, Youlong Wu, Kewen Liao, Lu Chen, Chengfei Liu, Haifeng Shen, MingJian Tang, Lu Sun

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning.

Xinyi Wang, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Grouped Multi-Task Learning with Hidden Tasks Enhancement.

Jiachun Jin, Jiankun Wang, Lu Sun, Jie Zheng, Mineichi Kudo

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Structured Sparse Multi-Task Learning with Generalized Group Lasso.

Luhuan Fei, Lu Sun, Mineichi Kudo, Keigo Kimura

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels.

Zhiwei Li, Lu Sun, Mineichi Kudo, Kego Kimura

CoRR, 2022

Realization of Autoencoders by Kernel Methods.

Shumpei Morishita, Mineichi Kudo, Keigo Kimura, Lu Sun

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings.

Mineichi Kudo, Keigo Kimura, Shumpei Morishita, Lu Sun

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

Retargeted Regression Methods for Multi-label Learning.

Keigo Kimura, Jiaqi Bao, Mineichi Kudo, Lu Sun

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

2019

Multi-label classification by polytree-augmented classifier chains with label-dependent features.

Lu Sun, Mineichi Kudo

Pattern Anal. Appl., 2019

Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning.

Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Fast and Robust Multi-View Multi-Task Learning via Group Sparsity.

Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Optimization of classifier chains via conditional likelihood maximization.

Lu Sun, Mineichi Kudo

Pattern Recognit., 2018

2017

READER: Robust Semi-Supervised Multi-Label Dimension Reduction.

Lu Sun, Mineichi Kudo, Keigo Kimura

IEICE Trans. Inf. Syst., 2017

MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification.

Keigo Kimura, Lu Sun, Mineichi Kudo

CoRR, 2017

2016

Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification.

Keigo Kimura, Mineichi Kudo, Lu Sun

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Multi-label classification with meta-label-specific features.

Lu Sun, Mineichi Kudo, Keigo Kimura

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Locality in multi-label classification problems.

Batzaya Norov-Erdene, Mineichi Kudo, Lu Sun, Keigo Kimura

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Fast random k-labELsets for large-scale multi-label classification.

Keigo Kimura, Mineichi Kudo, Lu Sun, Sadamori Koujaku

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A Scalable Clustering-Based Local Multi-Label Classification Method.

Lu Sun, Mineichi Kudo, Keigo Kimura

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Polytree-Augmented Classifier Chains for Multi-Label Classification.

Lu Sun, Mineichi Kudo

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015