Следене
Peng Han
Peng Han
Department of Computer Science, Aalborg University
Потвърден имейл адрес: cs.aau.dk
Заглавие
Позовавания
Позовавания
Година
Learning from weak and noisy labels for semantic segmentation
Z Lu, Z Fu, T Xiang, P Han, L Wang, X Gao
IEEE transactions on pattern analysis and machine intelligence 39 (3), 486-500, 2016
1152016
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization
P Han, P Yang, P Zhao, S Shang, Y Liu, J Zhou, X Gao, P Kalnis
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
772019
Contextualized Point-of-Interest Recommendation
P Han, Z Li, Y Liu, P Zhao, J Li, H Wang, S Shang
IJCAI, 2484-2490, 2020
332020
Semantic sparse recoding of visual content for image applications
Z Lu, P Han, L Wang, JR Wen
IEEE Transactions on Image Processing 24 (1), 176-188, 2014
242014
Learning Personalized Itemset Mapping for Cross-Domain Recommendation
Y Zhang, Y Liu, P Han, C Miao, L Cui, B Li, H Tang
IJCAI, 2561-2567, 2020
202020
AUC-MF: Point of Interest Recommendation with AUC Maximization
P Han, S Shang, A Sun, P Zhao, K Zheng, P Kalnis
2019 IEEE 35th International Conference on Data Engineering (ICDE), 1558-1561, 2019
172019
Weakly supervised matrix factorization for noisily tagged image parsing
Y Niu, Z Lu, S Huang, P Han, JR Wen
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
142015
Large-scale sparse learning from noisy tags for semantic segmentation
A Li, Z Lu, L Wang, P Han, JR Wen
IEEE transactions on cybernetics 48 (1), 253-263, 2016
92016
Point-of-interest recommendation with global and local context
P Han, S Shang, A Sun, P Zhao, K Zheng, X Zhang
IEEE Transactions on Knowledge and Data Engineering, 2021
82021
Detecting thoracic diseases via representation learning with adaptive sampling
H Wang, YY Yang, Y Pan, P Han, ZX Li, HG Huang, SZ Zhu
Neurocomputing 406, 354-360, 2020
72020
Segmentation with Selectively Propagated Constraints
P Han, G Liu, S Huang, W Yuan, Z Lu
International Conference on Neural Information Processing, 585-592, 2016
62016
A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks
P Han, J Wang, D Yao, S Shang, X Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
42021
Graph-boosted convolutional neural networks for semantic segmentation
G Liu, P Han, Y Niu, W Yuan, Z Lu, JR Wen
2017 International Joint Conference on Neural Networks (IJCNN), 612-618, 2017
42017
Sequence Labeling with Meta-Learning
J Li, P Han, X Ren, J Hu, L Chen, S Shang
IEEE Transactions on Knowledge and Data Engineering, 2021
32021
GNN-Retro: Retrosynthetic planning with Graph Neural Networks
P Han, P Zhao, C Lu, J Huang, J Wu, S Shang, B Yao, X Zhang
AAAI, 2022
12022
Learning to Rank with Contextual Information
P Han
2021
LSDDL: Layer-Wise Sparsification for Distributed Deep Learning
Y Hong, P Han
Big Data Research 26, 100272, 2021
2021
Low Resistance Asymmetric III-Nitride Tunnel Junctions Designed by Machine Learning
R Lin, P Han, Y Wang, R Lin, Y Lu, Z Liu, X Zhang, X Li
Nanomaterials 11 (10), 2466, 2021
2021
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