| Deep active learning for named entity recognition Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar arXiv preprint arXiv:1707.05928, 2017 | 578 | 2017 |
| 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 | 205 | 2013 |
| 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 |
| A deep reinforcement learning approach for solving the traveling salesman problem with drone A Bogyrbayeva, T Yoon, H Ko, S Lim, H Yun, C Kwon Transportation Research Part C: Emerging Technologies 148, 103981, 2023 | 75 | 2023 |
| Wordrank: Learning word embeddings via robust ranking S Ji, H Yun, P Yanardag, S Matsushima, SVN Vishwanathan arXiv preprint arXiv:1506.02761, 2015 | 64 | 2015 |
| How to filter out random clickers in a crowdsourcing-based study? SH Kim, H Yun, JS Yi Proceedings of the 2012 beliv workshop: Beyond time and errors-novel …, 2012 | 39 | 2012 |
| Ranking via robust binary classification H Yun, P Raman, S Vishwanathan Advances in Neural Information Processing Systems 27, 2014 | 34 | 2014 |
| Robustness to capitalization errors in named entity recognition S Bodapati, H Yun, Y Al-Onaizan arXiv preprint arXiv:1911.05241, 2019 | 28 | 2019 |
| DS-MLR: exploiting double separability for scaling up distributed multinomial logistic regression P Raman, S Srinivasan, S Matsushima, X Zhang, H Yun, ... arXiv preprint arXiv:1604.04706, 2016 | 13 | 2016 |
| Scaling multinomial logistic regression via hybrid parallelism P Raman, S Srinivasan, S Matsushima, X Zhang, H Yun, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 10 | 2019 |
| Neural models for keyphrase extraction ZP Kozareva, S Zha, H Yun US Patent 11,030,394, 2021 | 8 | 2021 |
| Distributed stochastic optimization of regularized risk via saddle-point problem S Matsushima, H Yun, X Zhang, SVN Vishwanathan Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 8 | 2017 |
| Big Data D Zhang, MHJ Sidik Artificial Intelligence, and Financial Literacy: Exploring their Combined …, 2024 | 7 | 2024 |
| Nomadic computing for big data analytics HF Yu, CJ Hsieh, H Yun, SVN Vishwanathan, I Dhillon Computer 49 (4), 52-60, 2016 | 7 | 2016 |
| Deep active learning for named entity recognition. CoRR abs/1707.05928 (2017) Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar arXiv preprint arXiv:1707.05928, 2017 | 6 | 2017 |
| Ranking via robust binary classification and parallel parameter estimation in large-scale data H Yun, P Raman, SVN Vishwanathan arXiv preprint arXiv:1402.2676, 2014 | 5 | 2014 |
| Exposing privacy gaps: Membership inference attack on preference data for llm alignment Q Feng, SR Kasa, H Yun, CH Teo, SB Bodapati arXiv preprint arXiv:2407.06443, 2024 | 4 | 2024 |
| Robust multi-task learning with excess risks Y He, S Zhou, G Zhang, H Yun, Y Xu, B Zeng, T Chilimbi, H Zhao arXiv preprint arXiv:2402.02009, 2024 | 4 | 2024 |
| Doubly Separable Models H Yun PhD thesis, Purdue University West Lafayette, 2014 | 4 | 2014 |
| Quilting stochastic kronecker product graphs to generate multiplicative attribute graphs H Yun, SVN Vishwanathan Artificial Intelligence and Statistics, 1389-1397, 2012 | 4 | 2012 |
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue Universitystat.purdue.edu의 이메일 확인됨
