| Co-occurrent features in semantic segmentation H Zhang, H Zhang, C Wang, J Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 208 | 2019 |
| GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ... Journal of Machine Learning Research 21, 2020 | 127 | 2020 |
| GluonCV and GluonNLP: deep learning in computer vision and natural language processing J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ... arXiv, 2019 | 127 | 2019 |
| Text Classification with Heterogeneous Information Network Kernels C Wang, Y Song, H Li, M Zhang, J Han Proc. 2016 AAAI Conf. on Artificial Intelligence, 2016 | 92 | 2016 |
| Language models with Transformers C Wang, M Li, AJ Smola arXiv preprint arXiv:1904.09408, 2019 | 72 | 2019 |
| KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks C Wang, Y Song, H Li, M Zhang, J Han Proceedings of 2015 IEEE International Conference on Data Mining, 2015 | 62 | 2015 |
| Incorporating world knowledge to document clustering via heterogeneous information networks C Wang, Y Song, A El-Kishky, D Roth, M Zhang, J Han Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 59 | 2015 |
| RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks C Wang, Y Sun, Y Song, J Han, Y Song, L Wang, M Zhang Proc. 2016 SIAM Int. Conf. on Data Mining, 2016 | 46 | 2016 |
| Language Models are Open Knowledge Graphs C Wang, X Liu, D Song arXiv preprint arXiv:2010.11967, 2020 | 41 | 2020 |
| Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks. H Jiang, Y Song, C Wang, M Zhang, Y Sun IJCAI, 1944-1950, 2017 | 41 | 2017 |
| Study of cloud computing security based on private face recognition C Wang, H Yan 2010 International Conference on Computational Intelligence and Software …, 2010 | 29 | 2010 |
| Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks C Wang, Y Song, H Li, Y Sun, M Zhang, J Han CIKM, 2017 | 24 | 2017 |
| HINE: Heterogeneous information network embedding Y Chen, C Wang International conference on database systems for advanced applications, 180-195, 2017 | 22 | 2017 |
| Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations C Wang, Y Song, D Roth, C Wang, J Han, H Ji, M Zhang Proceedings of 2015 Internatinal Joint Conference on Artificial Intelligence, 2015 | 19 | 2015 |
| Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks C Wang, Y Song, H Li, M Zhang, J Han Data Mining and Knowledge Discovery 32 (6), 1735-1767, 2018 | 17 | 2018 |
| Active learning for black-Box semantic role labeling with neural factors C Wang, L Chiticariu, Y Li IJCAI, 2017 | 16 | 2017 |
| World Knowledge as Indirect Supervision for Document Clustering C Wang, Y Song, D Roth, M Zhang, J Han ACM Transactions on Knowledge Discovery from Data, 2016 | 15 | 2016 |
| Paraphrasing adaptation for web search ranking C Wang, N Duan, M Zhou, M Zhang Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 14 | 2013 |
| Spectral label refinement for noisy and missing text labels Y Song, C Wang, M Zhang, H Sun, Q Yang Twenty-ninth AAAI conference on artificial intelligence, 2015 | 13 | 2015 |
| Crowd-in-the-loop: A hybrid approach for annotating semantic roles C Wang, A Akbik, L Chiticariu, Y Li, F Xia, A Xu EMNLP, 2017 | 10 | 2017 |
Ming Zhang, 张铭Professor,Peking UniversityVerified email at pku.edu.cn
