| 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 | 884 | 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 | 418 | 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 | 268 | 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 | 167 | 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 | 139 | 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 | 138 | 2013 |
| Factorization bandits for interactive recommendation H Wang, Q Wu, H Wang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 129 | 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 | 128 | 2016 |
| Chatglm: A family of large language models from glm-130b to glm-4 all tools T GLM, A Zeng, B Xu, B Wang, C Zhang, D Yin, D Zhang, D Rojas, G Feng, ... arXiv preprint arXiv:2406.12793, 2024 | 119 | 2024 |
| 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 | 118 | 2019 |
| 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 | 118 | 2013 |
| 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 | 106 | 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 | 103 | 2018 |
| 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 | 95 | 2013 |
| 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 |
| Learning Hidden Features for Contextual Bandits H Wang, Q Wu, H Wang Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 93 | 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 | 91 | 2017 |
| Multi-task learning for document ranking and query suggestion WU Ahmad, KW Chang, H Wang International Conference on Learning Representations, 2018 | 81 | 2018 |
| The FacT: Taming Latent Factor Models for Explainability with Factorization Trees Y Tao, Y Jia, N Wang, H Wang Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 79 | 2019 |
| 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 | 77 | 2019 |
Qingyun WuThe Pennsylvania State UniversityVerified email at psu.edu
