| Towards social user profiling: unified and discriminative influence model for inferring home locations R Li, S Wang, H Deng, R Wang, KCC Chang Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 457 | 2012 |
| Do deep convolutional nets really need to be deep and convolutional? G Urban, KJ Geras, SE Kahou, O Aslan, S Wang, R Caruana, A Mohamed, ... arXiv preprint arXiv:1603.05691, 2016 | 270 | 2016 |
| Multiple location profiling for users and relationships from social network and content R Li, S Wang, KCC Chang arXiv preprint arXiv:1208.0288, 2012 | 133 | 2012 |
| Robust curriculum learning: from clean label detection to noisy label self-correction T Zhou, S Wang, J Bilmes International Conference on Learning Representations, 2020 | 113 | 2020 |
| Joint model training O Aslan, R Caruana, MR Richardson, A Mohamed, M Philipose, K Geras, ... US Patent App. 15/195,894, 2017 | 94 | 2017 |
| Curriculum learning by dynamic instance hardness T Zhou, S Wang, J Bilmes Advances in Neural Information Processing Systems 33, 8602-8613, 2020 | 92 | 2020 |
| Dgrec: Graph neural network for recommendation with diversified embedding generation L Yang, S Wang, Y Tao, J Sun, X Liu, PS Yu, T Wang Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 69 | 2023 |
| Blending lstms into cnns KJ Geras, A Mohamed, R Caruana, G Urban, S Wang, O Aslan, ... arXiv preprint arXiv:1511.06433, 2015 | 65 | 2015 |
| Time-Consistent Self-Supervision for Semi-Supervised Learning T Zhou, S Wang, JA Bilmes International Conference on Machine Learning, 2020 | 60 | 2020 |
| Towards social data platform: Automatic topic-focused monitor for twitter stream R Li, S Wang, KCC Chang Proceedings of the VLDB Endowment 6 (14), 1966-1977, 2013 | 54 | 2013 |
| Bias also matters: Bias attribution for deep neural network explanation S Wang, T Zhou, J Bilmes International Conference on Machine Learning, 6659-6667, 2019 | 46 | 2019 |
| Mixed robust/average submodular partitioning: Fast algorithms, guarantees, and applications K Wei, RK Iyer, S Wang, W Bai, JA Bilmes Advances in Neural Information Processing Systems 28, 2015 | 46 | 2015 |
| Analysis of deep neural networks with extended data jacobian matrix S Wang, A Mohamed, R Caruana, J Bilmes, M Plilipose, M Richardson, ... International Conference on Machine Learning, 718-726, 2016 | 42 | 2016 |
| Diverse ensemble evolution: Curriculum data-model marriage T Zhou, S Wang, JA Bilmes Advances in Neural Information Processing Systems 31, 2018 | 34 | 2018 |
| The tasks with effects model for safe concurrency ST Heumann, VS Adve, S Wang ACM SIGPLAN Notices 48 (8), 239-250, 2013 | 33 | 2013 |
| Curriculum learning by optimizing learning dynamics T Zhou, S Wang, J Bilmes International Conference on Artificial Intelligence and Statistics, 433-441, 2021 | 27 | 2021 |
| Jumpout: improved dropout for deep neural networks with ReLUs S Wang, T Zhou, J Bilmes International conference on machine learning, 6668-6676, 2019 | 24 | 2019 |
| Retrospective adversarial replay for continual learning L Kumari, S Wang, T Zhou, JA Bilmes Advances in neural information processing systems 35, 28530-28544, 2022 | 23 | 2022 |
| Single-nanoparticle orientation sensing by deep learning J Hu, T Liu, P Choo, S Wang, T Reese, AD Sample, TW Odom ACS central science 6 (12), 2339-2346, 2020 | 18 | 2020 |
| Fixing mini-batch sequences with hierarchical robust partitioning S Wang, W Bai, C Lavania, J Bilmes The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 11 | 2019 |
