| 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 | 352 | 2019 |
| Humanity's last exam L Phan, A Gatti, Z Han, N Li, J Hu, H Zhang, CBC Zhang, M Shaaban, ... arXiv preprint arXiv:2501.14249, 2025 | 300 | 2025 |
| 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 | 288 | 2020 |
| Language models with Transformers C Wang, M Li, AJ Smola arXiv preprint arXiv:1904.09408, 2019 | 206 | 2019 |
| Language Models are Open Knowledge Graphs C Wang, X Liu, D Song arXiv preprint arXiv:2010.11967, 2020 | 192 | 2020 |
| 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 | 153 | 2022 |
| Judgebench: A benchmark for evaluating llm-based judges S Tan, S Zhuang, K Montgomery, WY Tang, A Cuadron, C Wang, ... arXiv preprint arXiv:2410.12784, 2024 | 142 | 2024 |
| 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 | 131 | 2022 |
| 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 | 114 | 2016 |
| Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning RVM Siyuan Shen, Chi Li, Aaron van Donkelaar, Nathan Jacobs, Chenguang Wang ACS ES&T Air, 2024 | 97 | 2024 |
| Joint language semantic and structure embedding for knowledge graph completion J Shen, C Wang, L Gong, D Song arXiv preprint arXiv:2209.08721, 2022 | 86 | 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 | 67 | 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 | 66 | 2015 |
| 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 | 65 | 2022 |
| Practical membership inference attacks against large-scale multi-modal models: A pilot study M Ko, M Jin, C Wang, R Jia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 60 | 2023 |
| 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 | 59 | 2016 |
| 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 | 57 | 2021 |
| 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 | 53 | 2023 |
| 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 | 52 | 2017 |
| Study of cloud computing security based on private face recognition C Wang, H Yan 2010 International Conference on Computational Intelligence and Software …, 2010 | 35 | 2010 |
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
