孙露
助理教授、研究员、博导
博士毕业院校: 日本北海道大学
电话: 021-20684448
办公室: 信息学院1A-304A室
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研究方向: 机器学习、模式识别、数据挖掘等人工智能领域
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孙露博士,本科毕业于武汉大学电子信息学院,硕士毕业于东北师范大学物理学院,博士毕业于日本北海道大学信息科学研究院,之后,孙露博士在日本京都大学从事博士后的研究工作。目前,孙露博士在上海科技大学信息科学与技术学院担任tenure-track助理教授、博士生导师、研究员。孙露博士的研究兴趣包括机器学习、模式识别、数据挖掘等人工智能领域,目前主要集中在多标签分类及多视角多任务学习与应用。

  • 1. 王剑坤*, , Wang, Jiankun;Sun, Lu#, Multi-Task Personalized Learning with Sparse Network Lasso, IJCAI INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2022, 3516-3522
  • 2. Songjie Xie*, Youlong Wu, 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, IEEE International Conference on Data Engineering (ICDE 2023), 2023,
  • 3. Mineichi Kudo*, Mineichi Kudo, Mineichi Kudo, Keigo Kimura, Shumpei Morishita and Lu Sun#, Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings, the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition (S+SSPR 2022), 2022,
  • 4. Shumpei Morishita*, Shumpei Morishita, Shumpei Morishita, Mineichi Kudo, Keigo Kimura and Lu Sun#, Realization of Autoencoders by Kernel Methods, the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition (S+SSPR 2022), ,
  • 5. Keigo Kimura*, Keigo Kimura, Keigo Kimura, Jiaqi Bao, Mineichi Kudo and Lu Sun#, Retargeted Regression Methods for Multi-Label Learning, the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition (S+SSPR 2022), 2022,
  • 6. Lu Sun*, Lu Sun, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka#, Fast and Robust Multi-View Multi-Task Learning via Group Sparsity, the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019, 3499-3505
  • 7. Lu Sun*, Lu Sun, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka#, Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning, the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019, 3506-3512
  • 8. Lu Sun*, Lu Sun, Lu Sun and Mineichi Kudo#, Multi-Label Classification by Polytree-Augmented Classifier Chains with Label-Dependent Features, Pattern Analysis and Applications, 2019, 22(3), 1029-1049
  • 9. Lu Sun*, Lu Sun, Lu Sun and Mineichi Kudo#, Optimization of Classifier Chains via Conditional Likelihood Maximization, Pattern Recognition, , 74: 503-517