Lu Sun - RankMe

34 papers A* 9A 5B 3Journal 11Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multi-level network Lasso for multi-task personalized learning. Pattern Recognit. Jiankun Wang, Luhuan Fei, Lu Sun
2025	J	`jnl`	Multi-level sparse network lasso: Locally sparse learning with flexible sample clusters. Neurocomputing Luhuan Fei, Xinyi Wang, Jiankun Wang, Lu Sun, Yuyao Zhang
2025	J	`jnl`	Multi-view multi-label personalized classification via generalized exclusive sparse tensor factorization. Knowl. Inf. Syst. Luhuan Fei, Weijia Lin, Jiankun Wang, Lu Sun, Mineichi Kudo, Keigo Kimura
2025	J	`jnl`	Robust multi-view subspace clustering with missing data by aligning nonlinear manifolds. Pattern Recognit. Zhan-Wang Mao, Lu Sun, Youlong Wu
2024	A	`conf`	Learning Compact Neural Networks via Generalized Structured Sparsity. ECAI Ke Bian, Lu Sun, Dengji Zhao
2024	A*	`conf`	Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression. IJCAI Tianxiao Cao, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
2024	A*	`conf`	MoME: Mixture-of-Masked-Experts for Efficient Multi-Task Recommendation. SIGIR Jiahui Xu, Lu Sun, Dengji Zhao
2024	J	`jnl`	Redirected transfer learning for robust multi-layer subspace learning. Pattern Anal. Appl. Jiaqi Bao, Mineichi Kudo, Keigo Kimura, Lu Sun
2024	J	`jnl`	Robust embedding regression for semi-supervised learning. Pattern Recognit. Jiaqi Bao, Mineichi Kudo, Keigo Kimura, Lu Sun
2023	A*	`conf`	Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data. ICDE Songjie Xie, Youlong Wu, Kewen Liao, Lu Chen, Chengfei Liu, Haifeng Shen, MingJian Tang, Lu Sun
2023	A*	`conf`	Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning. IJCAI Zijian Yang, Zhiwei Li, Lu Sun
2023	A	`conf`	Grouped Multi-Task Learning with Hidden Tasks Enhancement. ECAI Jiachun Jin, Jiankun Wang, Lu Sun, Jie Zheng, Mineichi Kudo
2023	—	`conf`	Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels. PRICAI (2) Zhiwei Li, Zijian Yang, Lu Sun, Mineichi Kudo, Keigo Kimura
2023	A*	`conf`	Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization. ICDM Weijia Lin, Jiankun Wang, Lu Sun, Mineichi Kudo, Keigo Kimura
2023	A	`conf`	Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning. ECAI Xinyi Wang, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
2023	—	`conf`	Partial Multi-label Learning with a Few Accurately Labeled Data. PRICAI (2) Haruhi Mizuguchi, Keigo Kimura, Mineichi Kudo, Lu Sun
2023	A	`conf`	Structured Sparse Multi-Task Learning with Generalized Group Lasso. ECAI Luhuan Fei, Lu Sun, Mineichi Kudo, Keigo Kimura
2022	J	`jnl`	CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels. CoRR Zhiwei Li, Lu Sun, Mineichi Kudo, Kego Kimura
2022	—	`conf`	Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings. S+SSPR Mineichi Kudo, Keigo Kimura, Shumpei Morishita, Lu Sun
2022	A*	`conf`	Multi-Task Personalized Learning with Sparse Network Lasso. IJCAI Jiankun Wang, Lu Sun
2022	—	`conf`	Realization of Autoencoders by Kernel Methods. S+SSPR Shumpei Morishita, Mineichi Kudo, Keigo Kimura, Lu Sun
2022	—	`conf`	Retargeted Regression Methods for Multi-label Learning. S+SSPR Keigo Kimura, Jiaqi Bao, Mineichi Kudo, Lu Sun
2019	A*	`conf`	Fast and Robust Multi-View Multi-Task Learning via Group Sparsity. IJCAI Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
2019	J	`jnl`	Multi-label classification by polytree-augmented classifier chains with label-dependent features. Pattern Anal. Appl. Lu Sun, Mineichi Kudo
2019	A*	`conf`	Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning. IJCAI Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
2018	J	`jnl`	Optimization of classifier chains via conditional likelihood maximization. Pattern Recognit. Lu Sun, Mineichi Kudo
2017	J	`jnl`	MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification. CoRR Keigo Kimura, Lu Sun, Mineichi Kudo
2017	J	`jnl`	READER: Robust Semi-Supervised Multi-Label Dimension Reduction. IEICE Trans. Inf. Syst. Lu Sun, Mineichi Kudo, Keigo Kimura
2016	A	`conf`	A Scalable Clustering-Based Local Multi-Label Classification Method. ECAI Lu Sun, Mineichi Kudo, Keigo Kimura
2016	B	`conf`	Fast random k-labELsets for large-scale multi-label classification. ICPR Keigo Kimura, Mineichi Kudo, Lu Sun, Sadamori Koujaku
2016	B	`conf`	Locality in multi-label classification problems. ICPR Batzaya Norov-Erdene, Mineichi Kudo, Lu Sun, Keigo Kimura
2016	B	`conf`	Multi-label classification with meta-label-specific features. ICPR Lu Sun, Mineichi Kudo, Keigo Kimura
2016	—	`conf`	Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification. S+SSPR Keigo Kimura, Mineichi Kudo, Lu Sun
2015	A*	`conf`	Polytree-Augmented Classifier Chains for Multi-Label Classification. IJCAI Lu Sun, Mineichi Kudo