| 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 | 326 | 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 | 235 | 2020 |
| Language models with Transformers C Wang, M Li, AJ Smola arXiv preprint arXiv:1904.09408, 2019 | 157 | 2019 |
| Language Models are Open Knowledge Graphs C Wang, X Liu, D Song arXiv preprint arXiv:2010.11967, 2020 | 153 | 2020 |
| 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 | 109 | 2016 |
| DeepStruct: Pretraining of language models for structure prediction C Wang, X Liu, Z Chen, H Hong, J Tang, D Song arXiv preprint arXiv:2205.10475, 2022 | 96 | 2022 |
| Protecting intellectual property of language generation apis with lexical watermark X He, Q Xu, L Lyu, F Wu, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10758 …, 2022 | 92 | 2022 |
| 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 | 66 | 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 | 62 | 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 | 58 | 2016 |
| 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 | 49 | 2017 |
| Joint language semantic and structure embedding for knowledge graph completion J Shen, C Wang, L Gong, D Song arXiv preprint arXiv:2209.08721, 2022 | 46 | 2022 |
| Zero-shot information extraction as a unified text-to-triple translation C Wang, X Liu, Z Chen, H Hong, J Tang, D Song arXiv preprint arXiv:2109.11171, 2021 | 42 | 2021 |
| Study of cloud computing security based on private face recognition C Wang, H Yan 2010 International Conference on Computational Intelligence and Software …, 2010 | 34 | 2010 |
| HINE: Heterogeneous information network embedding Y Chen, C Wang International conference on database systems for advanced applications, 180-195, 2017 | 29 | 2017 |
| Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks C Wang, Y Song, H Li, Y Sun, M Zhang, J Han CIKM, 2017 | 29 | 2017 |
| Codeipprompt: Intellectual property infringement assessment of code language models Z Yu, Y Wu, N Zhang, C Wang, Y Vorobeychik, C Xiao International Conference on Machine Learning, 40373-40389, 2023 | 28 | 2023 |
| Fine-mixing: Mitigating backdoors in fine-tuned language models Z Zhang, L Lyu, X Ma, C Wang, X Sun arXiv preprint arXiv:2210.09545, 2022 | 27 | 2022 |
| 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 | 24 | 2018 |
| PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction Y Yin, C Wang, M Zhang COLING, 2020 | 23 | 2020 |
Ming Zhang（张铭）Professor,Peking UniversityVerified email at pku.edu.cn
