| Deep Learning for Extreme Multi-label Text Classification J Liu, WC Chang, Y Wu, Y Yang Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 617 | 2017 |
| Analogical inference for multi-relational embeddings H Liu, Y Wu, Y Yang Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 388 | 2017 |
| Review networks for caption generation Z Yang, Y Yuan, Y Wu, WW Cohen, RR Salakhutdinov Advances in Neural Information Processing Systems, 2361-2369, 2016 | 287 | 2016 |
| Storygan: A sequential conditional gan for story visualization Y Li, Z Gan, Y Shen, J Liu, Y Cheng, Y Wu, L Carin, D Carlson, J Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 140 | 2019 |
| Deep learning for epidemiological predictions Y Wu, Y Yang, H Nishiura, M Saitoh The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 89 | 2018 |
| Unsupervised Cross-lingual Transfer of Word Embedding Spaces R Xu, Y Yang, N Otani, Y Wu Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 87 | 2018 |
| Knowledge embedding based graph convolutional network D Yu, Y Yang, R Zhang, Y Wu Proceedings of the Web Conference 2021, 1619-1628, 2021 | 57 | 2021 |
| Large language models can self-improve J Huang, SS Gu, L Hou, Y Wu, X Wang, H Yu, J Han arXiv preprint arXiv:2210.11610, 2022 | 55 | 2022 |
| Graph-revised convolutional network D Yu, R Zhang, Z Jiang, Y Wu, Y Yang Joint European conference on machine learning and knowledge discovery in …, 2020 | 54 | 2020 |
| Graph Convolutional Matrix Completion for Bipartite Edge Prediction Y Wu, H Liu, Y Yang International Joint Conference on Knowledge Discovery, Knowledge Engineering …, 2018 | 54 | 2018 |
| Switch-based active deep dyna-q: Efficient adaptive planning for task-completion dialogue policy learning Y Wu, X Li, J Liu, J Gao, Y Yang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7289-7296, 2019 | 42 | 2019 |
| Cross-domain kernel induction for transfer learning Y Wu, WC Chang, H Liu, Y Yang Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 30 | 2017 |
| Active Learning for Graph Neural Networks via Node Feature Propagation Y Wu, Y Xu, A Singh, Y Yang, A Dubrawski arXiv preprint arXiv:1910.07567, 2019 | 29 | 2019 |
| A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data S Li, F Dong, Y Wu, S Zhang, C Zhang, X Liu, T Jiang, J Zeng Nucleic acids research 45 (14), e129-e129, 2017 | 22 | 2017 |
| Computational protein design using AND/OR branch-and-bound search Y Zhou, Y Wu, J Zeng Journal of Computational Biology 23 (6), 439-451, 2016 | 10 | 2016 |
| Token Dropping for Efficient BERT Pretraining L Hou, RY Pang, T Zhou, Y Wu, X Song, X Song, D Zhou Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 9 | 2022 |
| Generalized multi-relational graph convolution network D Yu, Y Yang, R Zhang, Y Wu arXiv, 07331, 2020 | 8 | 2020 |
| Provable stochastic optimization for global contrastive learning: Small batch does not harm performance Z Yuan, Y Wu, ZH Qiu, X Du, L Zhang, D Zhou, T Yang International Conference on Machine Learning, 25760-25782, 2022 | 5 | 2022 |
| Contextual Encoding for Translation Quality Estimation J Hu, WC Chang, Y Wu, G Neubig Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018 | 5 | 2018 |
| Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation Z Wang, Y Wu, F Liu, D Liu, L Hou, H Yu, J Li, H Ji arXiv preprint arXiv:2210.11768, 2022 | 1 | 2022 |
Yiming YangProfessor, Carnegie Mellon UniversityBestätigte E-Mail-Adresse bei cs.cmu.edu
