| 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 | 227 | 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 | 45 | 2019 |
| Unbiased Graph Embedding with Biased Graph Observations N Wang, L Lin, J Li, H Wang In Proceedings of the ACM Web Conference 2022 (WWW ’22), 2022 | 29 | 2022 |
| Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction N Wang, Z Qin, X Wang, H Wang Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 23 | 2021 |
| Explanation as a Defense of Recommendation A Yang, N Wang, H Deng, H Wang Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 13 | 2021 |
| Comparative Explanations of Recommendations A Yang, N Wang, R Cai, H Deng, H Wang In Proceedings of the ACM Web Conference 2022 (WWW ’22), 2022 | 8 | 2022 |
| Coffee: Counterfactual fairness for personalized text generation in explainable recommendation N Wang, Q Wang, YC Wang, M Sanjabi, J Liu, H Firooz, H Wang, S Nie arXiv preprint arXiv:2210.15500, 2022 | 3 | 2022 |
| IMO^3: Interactive Multi-Objective Off-Policy Optimization N Wang, H Wang, M Karimzadehgan, B Kveton, C Boutilier IJCAI2022, 2022 | 2 | 2022 |
| CORe: Capitalizing On Rewards in Bandit Exploration N Wang, B Kveton, M Karimzadehgan Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence, 2021 | 2 | 2021 |
| Directional multivariate ranking N Wang, H Wang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 1 | 2020 |
| BPMR: Bayesian Probabilistic Multivariate Ranking N Wang, H Wang arXiv preprint arXiv:1909.08737, 2019 | 1 | 2019 |
| Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems Z Chu, N Wang, H Wang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Rank4Class: A Ranking Formulation for Multiclass Classification N Wang, Z Qin, L Yan, H Zhuang, X Wang, M Bendersky, M Najork arXiv preprint arXiv:2112.09727, 2021 | | 2021 |
| Rank4Class: Examining Multiclass Classification through the Lens of Learning to Rank N Wang, Z Qin, L Yan, H Zhuang, X Wang, M Bendersky, M Najork | | 2021 |
Hongning WangAssociate Professor, Department of Computer Science, University of VirginiaVerified email at virginia.edu
