| Learning to infer social ties in large networks W Tang, H Zhuang, J Tang Joint european conference on machine learning and knowledge discovery in …, 2011 | 166 | 2011 |
| Influence Maximization in Dynamic Social Networks H Zhuang, Y Sun, J Tang, J Zhang, X Sun 2013 IEEE 13th International Conference on Data Mining (ICDM), 2013 | 165 | 2013 |
| Geoburst: Real-time local event detection in geo-tagged tweet streams C Zhang, G Zhou, Q Yuan, H Zhuang, Y Zheng, L Kaplan, S Wang, J Han Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 157 | 2016 |
| TrioVecEvent: Embedding-based online local event detection in geo-tagged tweet streams C Zhang, L Liu, D Lei, Q Yuan, H Zhuang, T Hanratty, J Han Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 123 | 2017 |
| Spherical text embedding Y Meng, J Huang, G Wang, C Zhang, H Zhuang, L Kaplan, J Han Advances in Neural Information Processing Systems 32, 2019 | 78 | 2019 |
| GeoBurst+ Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams C Zhang, D Lei, Q Yuan, H Zhuang, L Kaplan, S Wang, J Han ACM Transactions on Intelligent Systems and Technology (TIST) 9 (3), 1-24, 2018 | 49 | 2018 |
| Actively learning to infer social ties H Zhuang, J Tang, W Tang, T Lou, A Chin, X Wang Data Mining and Knowledge Discovery 25 (2), 270-297, 2012 | 48 | 2012 |
| Role-aware conformity modeling and analysis in social networks J Zhang, J Tang, H Zhuang, C Leung, J Li Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 33 | 2014 |
| Multi-Dimensional, Phrase-Based Summarization in Text Cubes. F Tao, H Zhuang, CW Yu, Q Wang, T Cassidy, LM Kaplan, CR Voss, ... IEEE Data Eng. Bull. 39 (3), 74-84, 2016 | 30 | 2016 |
| Debiasing crowdsourced batches H Zhuang, A Parameswaran, D Roth, J Han Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 30 | 2015 |
| Leveraging in-batch annotation bias for crowdsourced active learning H Zhuang, J Young Proceedings of the Eighth ACM International Conference on Web Search and …, 2015 | 28 | 2015 |
| Mining query-based subnetwork outliers in heterogeneous information networks H Zhuang, J Zhang, G Brova, J Tang, H Cam, X Yan, J Han 2014 IEEE International Conference on Data Mining, 1127-1132, 2014 | 28 | 2014 |
| Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? Z Qin, L Yan, H Zhuang, Y Tay, RK Pasumarthi, X Wang, M Bendersky, ... International Conference on Learning Representations (ICLR) (2021), 2021 | 27 | 2021 |
| PReP: Path-based relevance from a probabilistic perspective in heterogeneous information networks Y Shi, PW Chan, H Zhuang, H Gui, J Han Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 26 | 2017 |
| Query-based outlier detection in heterogeneous information networks J Kuck, H Zhuang, X Yan, H Cam, J Han Advances in database technology: proceedings. International Conference on …, 2015 | 23 | 2015 |
| Inferring geographic coincidence in ephemeral social networks H Zhuang, A Chin, S Wu, W Wang, X Wang, J Tang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012 | 22 | 2012 |
| Identifying semantically deviating outlier documents H Zhuang, C Wang, F Tao, L Kaplan, J Han Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 20 | 2017 |
| ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning V Aribandi, Y Tay, T Schuster, J Rao, HS Zheng, SV Mehta, H Zhuang, ... arXiv preprint arXiv:2111.10952, 2021 | 18 | 2021 |
| Identifying outlier arms in multi-armed bandit H Zhuang, C Wang, Y Wang Advances in Neural Information Processing Systems 30, 2017 | 16 | 2017 |
| Interpretable Ranking with Generalized Additive Models H Zhuang, X Wang, M Bendersky, A Grushetsky, Y Wu, P Mitrichev, ... Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 14* | 2021 |
