| Temporal regularized matrix factorization for high-dimensional time series prediction HF Yu, N Rao, IS Dhillon Advances in neural information processing systems 29, 2016 | 620 | 2016 |
| Large-scale multi-label learning with missing labels HF Yu, P Jain, P Kar, I Dhillon International conference on machine learning, 593-601, 2014 | 585 | 2014 |
| Dual coordinate descent methods for logistic regression and maximum entropy models HF Yu, FL Huang, CJ Lin Machine Learning 85, 41-75, 2011 | 509 | 2011 |
| Think globally, act locally: A deep neural network approach to high-dimensional time series forecasting R Sen, HF Yu, IS Dhillon Advances in neural information processing systems 32, 2019 | 459 | 2019 |
| Collaborative filtering with graph information: Consistency and scalable methods N Rao, HF Yu, PK Ravikumar, IS Dhillon Advances in neural information processing systems 28, 2015 | 355 | 2015 |
| Scalable coordinate descent approaches to parallel matrix factorization for recommender systems HF Yu, CJ Hsieh, S Si, I Dhillon 2012 IEEE 12th international conference on data mining, 765-774, 2012 | 343 | 2012 |
| Taming pretrained transformers for extreme multi-label text classification WC Chang, HF Yu, K Zhong, Y Yang, IS Dhillon Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 330* | 2020 |
| Large linear classification when data cannot fit in memory HF Yu, CJ Hsieh, KW Chang, CJ Lin ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (4), 1-23, 2012 | 236 | 2012 |
| Feature engineering and classifier ensemble for KDD cup 2010 HF Yu, HY Lo, HP Hsieh, JK Lou, TG McKenzie, JW Chou, PH Chung, ... KDD cup, 2010 | 217 | 2010 |
| Nomad: Non-locking, stochastic multi-machine algorithm for asynchronous and decentralized matrix completion H Yun, HF Yu, CJ Hsieh, SVN Vishwanathan, I Dhillon arXiv preprint arXiv:1312.0193, 2013 | 206 | 2013 |
| Parallel matrix factorization for recommender systems HF Yu, CJ Hsieh, S Si, IS Dhillon Knowledge and Information Systems 41, 793-819, 2014 | 179 | 2014 |
| Learning to encode position for transformer with continuous dynamical model X Liu, HF Yu, I Dhillon, CJ Hsieh International conference on machine learning, 6327-6335, 2020 | 126 | 2020 |
| Node feature extraction by self-supervised multi-scale neighborhood prediction E Chien, WC Chang, CJ Hsieh, HF Yu, J Zhang, O Milenkovic, IS Dhillon arXiv preprint arXiv:2111.00064, 2021 | 122 | 2021 |
| Passcode: Parallel asynchronous stochastic dual co-ordinate descent CJ Hsieh, HF Yu, I Dhillon International Conference on Machine Learning, 2370-2379, 2015 | 120 | 2015 |
| Fast multi-resolution transformer fine-tuning for extreme multi-label text classification J Zhang, WC Chang, HF Yu, I Dhillon Advances in Neural Information Processing Systems 34, 7267-7280, 2021 | 112 | 2021 |
| Pecos: Prediction for enormous and correlated output spaces HF Yu, K Zhong, J Zhang, WC Chang, IS Dhillon Journal of Machine Learning Research 23 (98), 1-32, 2022 | 85 | 2022 |
| A scalable asynchronous distributed algorithm for topic modeling HF Yu, CJ Hsieh, H Yun, SVN Vishwanathan, IS Dhillon Proceedings of the 24th International Conference on World Wide Web, 1340-1350, 2015 | 85 | 2015 |
| Libshorttext: A library for short-text classification and analysis H Yu, C Ho, Y Juan, C Lin Rapport interne, Department of Computer Science, National Taiwan University …, 2013 | 80 | 2013 |
| Selection of negative samples for one-class matrix factorization HF Yu, M Bilenko, CJ Lin Proceedings of the 2017 SIAM International Conference on Data Mining, 363-371, 2017 | 76 | 2017 |
| Extreme multi-label learning for semantic matching in product search WC Chang, D Jiang, HF Yu, CH Teo, J Zhang, K Zhong, K Kolluri, Q Hu, ... Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 67 | 2021 |
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonBestätigte E-Mail-Adresse bei cs.utexas.edu
