| 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 | 208 | 2013 |
| ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning V Aribandi, Y Tay, T Schuster, J Rao, HS Zheng, SV Mehta, H Zhuang, ... International Conference on Learning Representations (ICLR), 2022 | 185 | 2022 |
| 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 | 182 | 2016 |
| 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 | 167 | 2011 |
| 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 | 147 | 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 | 128 | 2019 |
| Large language models are effective text rankers with pairwise ranking prompting Z Qin, R Jagerman, K Hui, H Zhuang, J Wu, J Shen, T Liu, J Liu, D Metzler, ... Findings of the Association for Computational Linguistics: NAACL 2024, 2024 | 115 | 2024 |
| 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 | 113 | 2021 |
| RankT5: Fine-tuning T5 for text ranking with ranking losses H Zhuang, Z Qin, R Jagerman, K Hui, J Ma, J Lu, J Ni, X Wang, ... Proc. of the 46th International ACM SIGIR Conference on Research and …, 2023 | 71 | 2023 |
| 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 | 63 | 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, 270-297, 2012 | 53 | 2012 |
| Query expansion by prompting large language models R Jagerman, H Zhuang, Z Qin, X Wang, M Bendersky arXiv preprint arXiv:2305.03653, 2023 | 49 | 2023 |
| 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 | 49* | 2021 |
| How does generative retrieval scale to millions of passages? R Pradeep, K Hui, J Gupta, AD Lelkes, H Zhuang, J Lin, D Metzler, ... arXiv preprint arXiv:2305.11841, 2023 | 48 | 2023 |
| 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 | 40 | 2014 |
| 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 | 35 | 2017 |
| Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels H Zhuang, Z Qin, K Hui, J Wu, L Yan, X Wang, M Bendersky Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 34 | 2024 |
| Debiasing crowdsourced batches H Zhuang, A Parameswaran, D Roth, J Han Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 34 | 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 | 34 | 2015 |
| Cross-positional attention for debiasing clicks H Zhuang, Z Qin, X Wang, M Bendersky, X Qian, P Hu, DC Chen Proceedings of the Web Conference 2021 (WWW ’21), 2021 | 33 | 2021 |
