| Self-supervised graph transformer on large-scale molecular data Y Rong, Y Bian, T Xu, W Xie, Y Wei, W Huang, J Huang Advances in neural information processing systems 33, 12559-12571, 2020 | 882 | 2020 |
| Learning from multiple cities: A meta-learning approach for spatial-temporal prediction H Yao, Y Liu, Y Wei, X Tang, Z Li The world wide web conference, 2181-2191, 2019 | 267 | 2019 |
| Adversarial sparse transformer for time series forecasting S Wu, X Xiao, Q Ding, P Zhao, Y Wei, J Huang Advances in neural information processing systems 33, 17105-17115, 2020 | 266 | 2020 |
| Hierarchically Structured Meta-learning H Yao, Y Wei, J Huang, Z Li International Conference on Machine Learning, 7045-7054, 2019 | 261 | 2019 |
| End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification. Z Li, Y Zhang, Y Wei, Y Wu, Q Yang IJCAI, 2237-2243, 2017 | 242 | 2017 |
| Deep Neural Networks for High Dimension, Low Sample Size Data. B Liu, Y Wei, Y Zhang, Q Yang IJCAI 2017, 2287-2293, 2017 | 222 | 2017 |
| Transfer learning via learning to transfer Y Wei, Y Zhang, J Huang, Q Yang International Conference on Machine Learning, 5072-5081, 2018 | 214* | 2018 |
| Hierarchical attention transfer network for cross-domain sentiment classification Z Li, Y Wei, Y Zhang, Q Yang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 209 | 2018 |
| Graph few-shot learning via knowledge transfer H Yao, C Zhang, Y Wei, M Jiang, S Wang, J Huang, N Chawla, Z Li Proceedings of the AAAI conference on artificial intelligence 34 (04), 6656-6663, 2020 | 202 | 2020 |
| Blind image quality assessment via vision-language correspondence: A multitask learning perspective W Zhang, G Zhai, Y Wei, X Yang, K Ma Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 189 | 2023 |
| Collaborative unsupervised domain adaptation for medical image diagnosis Y Zhang, Y Wei, Q Wu, P Zhao, S Niu, J Huang, M Tan IEEE Transactions on Image Processing 29, 7834-7844, 2020 | 180 | 2020 |
| Transfer knowledge between cities Y Wei, Y Zheng, Q Yang Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 135 | 2016 |
| Exploiting coarse-to-fine task transfer for aspect-level sentiment classification Z Li, Y Wei, Y Zhang, X Zhang, X Li Proceedings of the AAAI conference on artificial intelligence 33 (01), 4253-4260, 2019 | 131 | 2019 |
| Transferable end-to-end aspect-based sentiment analysis with selective adversarial learning Z Li, X Li, Y Wei, L Bing, Y Zhang, Q Yang arXiv preprint arXiv:1910.14192, 2019 | 124 | 2019 |
| Improving generalization in meta-learning via task augmentation H Yao, LK Huang, L Zhang, Y Wei, L Tian, J Zou, J Huang International Conference on Machine Learning, 11887-11897, 2021 | 99 | 2021 |
| COVID-DA: Deep domain adaptation from typical pneumonia to COVID-19 Y Zhang, S Niu, Z Qiu, Y Wei, P Zhao, J Yao, J Huang, Q Wu, M Tan arXiv preprint arXiv:2005.01577, 2020 | 75 | 2020 |
| From whole slide imaging to microscopy: Deep microscopy adaptation network for histopathology cancer image classification Y Zhang, H Chen, Y Wei, P Zhao, J Cao, X Fan, X Lou, H Liu, J Hou, ... International conference on medical image computing and computer-assisted …, 2019 | 72 | 2019 |
| Frustratingly easy transferability estimation LK Huang, J Huang, Y Rong, Q Yang, Y Wei International conference on machine learning, 9201-9225, 2022 | 71 | 2022 |
| Learning to multitask Y Zhang, Y Wei, Q Yang Advances in Neural Information Processing Systems 31, 2018 | 71 | 2018 |
| Transferable Contextual Bandit for Cross-Domain Recommendation B Liu, Y Wei, Y Zhang, Z Yan, Q Yang Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018 | 52 | 2018 |
Junzhou HuangJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at Arlingtonยืนยันอีเมลแล้วที่ uta.edu