Author

Can Wang

College of Computer Science, Zhejiang University - Cited by 4,222 - data mining - machine learning - artificial intelligence

Biography

Dr. Can Wang Wang is an Associate professor in the Department of College of Computer Science,Zhejiang University,China. His study interests major on einformation retrieval. Currently , Dr.Can Wang is the author/editors/reviewer in several international journals. He published 10 articles in many journals and the articles are informative and got good citations.  
Title
Cited by
Year
Online knowledge distillation with diverse peers
D Chen, JP Mei, C Wang, Y Feng, C ChenProceedings of the AAAI conference on artificial intelligence 34 (04), 3430-3437, 2020202
196
2020
Cross-layer distillation with semantic calibration
D Chen, JP Mei, Y Zhang, C Wang, Z Wang, Y Feng, C ChenProceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7028-7036, 2021202
140
2021
Hierarchical graph pooling with structure learning
Z Zhang, J Bu, M Ester, J Zhang, C Yao, Z Yu, C WangarXiv preprint arXiv:1911.05954, 2019201
123
2019
Samwalker: Social recommendation with informative sampling strategy
J Chen, C Wang, S Zhou, Q Shi, Y Feng, C ChenThe World Wide Web Conference, 228-239, 2019201
53
2019
Knowledge distillation with the reused teacher classifier
D Chen, JP Mei, H Zhang, C Wang, Y Feng, C ChenProceedings of the IEEE/CVF conference on computer vision and pattern …, 2022202
43
2022
Fast adaptively weighted matrix factorization for recommendation with implicit feedback
J Chen, C Wang, S Zhou, Q Shi, J Chen, Y Feng, C ChenProceedings of the AAAI Conference on artificial intelligence 34 (04), 3470-3477, 2020202
43
2020
Distilling holistic knowledge with graph neural networks
S Zhou, Y Wang, D Chen, J Chen, X Wang, C Wang, J BuProceedings of the IEEE/CVF international conference on computer vision …, 2021202
32
2021
Social recommendation based on users’ attention and preference
J Chen, C Wang, Q Shi, Y Feng, C ChenNeurocomputing 341, 1-9, 2019201
31
2019
Learning temporal interaction graph embedding via coupled memory networks
Z Zhang, J Bu, M Ester, J Zhang, C Yao, Z Li, C WangProceedings of the web conference 2020, 3049-3055, 2020202
28
2020
Adaptive influence blocking: Minimizing the negative spread by observation-based policies
Q Shi, C Wang, D Ye, J Chen, Y Feng, C Chen2019 IEEE 35th international conference on data engineering (ICDE), 1502-1513, 2019201
28
2019
Evaluate accessibility and usability issues of particular China and Pakistan government websites
M Bilal, Z Yu, S Song, C Wang2019 2nd International Conference on Artificial Intelligence and Big Data …, 2019201
22
2019
JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding
Z Zhou, C Wang, Y Feng, D ChenKnowledge-Based Systems 240, 108100, 2022202
19
2022
H2mn: Graph similarity learning with hierarchical hypergraph matching networks
Z Zhang, J Bu, M Ester, Z Li, C Yao, Z Yu, C WangProceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021202
17
2021
Confidence-aware multi-teacher knowledge distillation
H Zhang, D Chen, C WangICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022202
16
2022
Multi-task based sales predictions for online promotions
S Xin, M Ester, J Bu, C Yao, Z Li, X Zhou, Y Ye, C WangProceedings of the 28th ACM international conference on information and …, 2019201
16
2019
Post and repost: A holistic view of budgeted influence maximization
Q Shi, C Wang, J Chen, Y Feng, C ChenNeurocomputing 338, 92-100, 2019201
16
2019
Hierarchical multi-view graph pooling with structure learning
Z Zhang, J Bu, M Ester, J Zhang, Z Li, C Yao, H Dai, Z Yu, C WangIEEE Transactions on Knowledge and Data Engineering 35 (1), 545-559, 2021202
15
2021
Cross multi-type objects clustering in attributed heterogeneous information network
S Zhou, J Bu, Z Zhang, C Wang, L Ma, J ZhangKnowledge-Based Systems 194, 105458, 2020202
13
2020
Efficient diversified influence maximization with adaptive policies
C Wang, Q Shi, W Xian, Y Feng, C ChenKnowledge-Based Systems 213, 106692, 2021202
12
2021
Collaborative knowledge distillation for heterogeneous information network embedding
C Wang, S Zhou, K Yu, D Chen, B Li, Y Feng, C ChenProceedings of the ACM Web Conference 2022, 1631-1639, 2022202
11
2022

Referred From: https://scholar.google.com/citations?user=C63q3HoAAAAJ&hl=en

Cited by
Citations 4222
h-index 30
i10-index 63
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