Temporal regularized matrix factorization for high-dimensional time series prediction HF Yu, N Rao, IS Dhillon Advances in neural information processing systems 29, 2016 | 569 | 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 | 565 | 2014 |
Dual coordinate descent methods for logistic regression and maximum entropy models HF Yu, FL Huang, CJ Lin Machine Learning 85, 41-75, 2011 | 489 | 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 | 400 | 2019 |
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 | 342 | 2012 |
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 | 338 | 2015 |
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 | 303* | 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 | 231 | 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 | 210 | 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 | 202 | 2013 |
Parallel matrix factorization for recommender systems HF Yu, CJ Hsieh, S Si, IS Dhillon Knowledge and Information Systems 41, 793-819, 2014 | 173 | 2014 |
Passcode: Parallel asynchronous stochastic dual co-ordinate descent CJ Hsieh, HF Yu, I Dhillon International Conference on Machine Learning, 2370-2379, 2015 | 116 | 2015 |
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 | 109 | 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 | 96 | 2021 |
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 | 89 | 2021 |
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 | 83 | 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 | 77 | 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 | 73 | 2017 |
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 | 72 | 2022 |
A greedy approach for budgeted maximum inner product search HF Yu, CJ Hsieh, Q Lei, IS Dhillon Advances in neural information processing systems 30, 2017 | 59 | 2017 |