| A contextual-bandit approach to personalized news article recommendation L Li, W Chu, J Langford, RE Schapire Proceedings of the 19th international conference on World wide web, 661-670, 2010 | 4055 | 2010 |
| Contextual bandits with linear payoff functions W Chu, L Li, L Reyzin, RE Schapire Conference on Artificial Intelligence and Statistics (AISTATS), 2011 | 1536 | 2011 |
| Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms L Li, W Chu, J Langford, X Wang Proceedings of the fourth ACM international conference on Web search and …, 2011 | 753 | 2011 |
| Gaussian processes for ordinal regression W Chu, Z Ghahramani JMLR 6, 1019-1041, 2004 | 628 | 2004 |
| Preference learning with Gaussian processes W Chu, Z Ghahramani Proceedings of the 22nd international conference on Machine learning, 137-144, 2005 | 549 | 2005 |
| Pairwise preference regression for cold-start recommendation ST Park, W Chu Proceedings of the third ACM conference on Recommender systems, 21-28, 2009 | 455 | 2009 |
| New approaches to support vector ordinal regression W Chu, SS Keerthi Proceedings of the 22nd international conference on Machine learning, 145-152, 2005 | 418 | 2005 |
| Modeling the Impact of Short-and Long-Term Behavior on Search Personalization PN Bennett, RW White, W Chu, ST Dumais, P Bailey, F Borisyuk, X Cui | 409 | 2012 |
| Support vector ordinal regression W Chu, SS Keerthi Neural Computation 19 (3), 792-815, 2007 | 405 | 2007 |
| Personalized recommendation on dynamic content using predictive bilinear models W Chu, ST Park Proceedings of the 18th international conference on World wide web, 691-700, 2009 | 349 | 2009 |
| An unbiased offline evaluation of contextual bandit algorithms with generalized linear models L Li, W Chu, J Langford, T Moon, X Wang Proceedings of the Workshop on On-line Trading of Exploration and …, 2012 | 297 | 2012 |
| Cbnet: A composite backbone network architecture for object detection T Liang, X Chu, Y Liu, Y Wang, Z Tang, W Chu, J Chen, H Ling IEEE Transactions on Image Processing 31, 6893-6906, 2022 | 288 | 2022 |
| Stochastic relational models for discriminative link prediction K Yu, W Chu, S Yu, V Tresp, Z Xu Advances in Neural Information Processing Systems 19, 1553, 2007 | 275 | 2007 |
| Alime chat: A sequence to sequence and rerank based chatbot engine M Qiu, FL Li, S Wang, X Gao, Y Chen, W Zhao, H Chen, J Huang, W Chu Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 268 | 2017 |
| Multi-category classification by soft-max combination of binary classifiers K Duan, S Keerthi, W Chu, S Shevade, A Poo Multiple Classifier Systems, 160-160, 2003 | 268 | 2003 |
| Pairre: Knowledge graph embeddings via paired relation vectors L Chao, J He, T Wang, W Chu Proceedings of the 59th annual meeting of the association for computational …, 2021 | 248 | 2021 |
| A support vector approach to censored targets PK Shivaswamy, W Chu, M Jansche Seventh IEEE International Conference on Data Mining (ICDM 2007), 655-660, 2007 | 210 | 2007 |
| SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check X Cheng, W Xu, K Chen, S Jiang, F Wang, T Wang, W Chu, Y Qi arXiv preprint arXiv:2004.14166, 2020 | 193 | 2020 |
| Bayesian support vector regression using a unified loss function W Chu, SS Keerthi, CJ Ong IEEE transactions on neural networks 15 (1), 29-44, 2004 | 189 | 2004 |
| Width & depth pruning for vision transformers F Yu, K Huang, M Wang, Y Cheng, W Chu, L Cui Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3143-3151, 2022 | 188 | 2022 |
Lihong Li (李力鸿)AI Research Scientist, MetaVerified email at meta.com
