| Latent aspect rating analysis on review text data: a rating regression approach H Wang, Y Lu, C Zhai Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 878 | 2010 |
| Latent aspect rating analysis without aspect keyword supervision H Wang, Y Lu, CX Zhai Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 414 | 2011 |
| Explainable recommendation via multi-task learning in opinionated text data N Wang, H Wang, Y Jia, Y Yin The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 256 | 2018 |
| Enhancing personalized search by mining and modeling task behavior RW White, W Chu, A Hassan, X He, Y Song, H Wang Proceedings of the 22nd international conference on World Wide Web, 1411-1420, 2013 | 162 | 2013 |
| DeepMeSH: deep semantic representation for improving large-scale MeSH indexing S Peng, R You, H Wang, C Zhai, H Mamitsuka, S Zhu Bioinformatics 32 (12), i70-i79, 2016 | 137 | 2016 |
| Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance Y Song, H Ma, H Wang, K Wang Proceedings of the 22nd international conference on World Wide Web, 1201-1212, 2013 | 137 | 2013 |
| Factorization bandits for interactive recommendation H Wang, Q Wu, H Wang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 127 | 2017 |
| Contextual Bandits in a Collaborative Environment Q Wu, H Wang, Q Gu, H Wang Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 124 | 2016 |
| Learning to extract cross-session search tasks H Wang, Y Song, MW Chang, X He, RW White, W Chu Proceedings of the 22nd international conference on World Wide Web, 1353-1364, 2013 | 117 | 2013 |
| A model-based reinforcement learning with adversarial training for online recommendation X Bai, J Guan, H Wang Advances in Neural Information Processing Systems 32, 2019 | 113 | 2019 |
| Context Attentive Document Ranking and Query Suggestion WU Ahmad, KW Chang, H Wang Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 102 | 2019 |
| Learning Contextual Bandits in a Non-stationary Environment Q Wu, N Iyer, H Wang The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 100 | 2018 |
| Learning online discussion structures by conditional random fields H Wang, C Wang, CX Zhai, J Han Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 95 | 2011 |
| Personalized ranking model adaptation for web search H Wang, X He, MW Chang, Y Song, RW White, W Chu Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 94 | 2013 |
| Learning Hidden Features for Contextual Bandits H Wang, Q Wu, H Wang Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 91 | 2016 |
| Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems Q Wu, H Wang, L Hong, Y Shi Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 90 | 2017 |
| Multi-task learning for document ranking and query suggestion WU Ahmad, KW Chang, H Wang International Conference on Learning Representations, 2018 | 79 | 2018 |
| Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation J Wu, R Cai, H Wang Proceedings of The Web Conference 2020, 2199-2209, 2020 | 75 | 2020 |
| Adversarial domain adaptation for machine reading comprehension H Wang, Z Gan, X Liu, J Liu, J Gao, H Wang arXiv preprint arXiv:1908.09209, 2019 | 75 | 2019 |
| Adapting deep RankNet for personalized search Y Song, H Wang, X He Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 75 | 2014 |
Qingyun WuThe Pennsylvania State UniversityVerified email at psu.edu
