Active federated learning J Goetz, K Malik, D Bui, S Moon, H Liu, A Kumar arXiv preprint arXiv:1909.12641, 2019 | 51 | 2019 |
Explore-Exploit: A Framework for Interactive and Online Learning H Liu, A Kumar, W Yang, B Dumoulin arXiv preprint arXiv:1812.00116, 2018 | 40 | 2018 |
Global relation embedding for relation extraction Y Su, H Liu, S Yavuz, I Gur, H Sun, X Yan arXiv preprint arXiv:1704.05958, 2017 | 31 | 2017 |
Federated user representation learning D Bui, K Malik, J Goetz, H Liu, S Moon, A Kumar, KG Shin arXiv preprint arXiv:1909.12535, 2019 | 26 | 2019 |
User memory reasoning for conversational recommendation H Xu, S Moon, H Liu, B Liu, P Shah, PS Yu arXiv preprint arXiv:2006.00184, 2020 | 14 | 2020 |
Fast motif discovery in short sequences H Liu, F Han, H Zhou, X Yan, KS Kosik 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 1158-1169, 2016 | 13 | 2016 |
ALAE: accelerating local alignment with affine gap exactly in biosequence databases X Yang, H Liu, B Wang arXiv preprint arXiv:1208.0274, 2012 | 9 | 2012 |
Poqaa: Text mining and knowledge sharing for scientific publications K Li, P Zhang, H Liu, H Zha, X Yan | 6 | 2018 |
Global textual relation embedding for relational understanding Z Chen, H Zha, H Liu, W Chen, X Yan, Y Su arXiv preprint arXiv:1906.00550, 2019 | 5 | 2019 |
Active learning of functional networks from spike trains H Liu, B Wu Proceedings of the 2017 SIAM International Conference on Data Mining, 81-89, 2017 | 3 | 2017 |
Use of a Neural Circuit Probe to Validate in silico Predictions of Inhibitory Connections H Liu, D Bridges, C Randall, SA Solla, B Wu, P Hansma, X Yan, KS Kosik, ... bioRxiv, 204594, 2017 | 1 | 2017 |
In vitro validation of in silico identified inhibitory interactions H Liu, D Bridges, C Randall, SA Solla, B Wu, P Hansma, X Yan, KS Kosik, ... Journal of Neuroscience Methods 321, 39-48, 2019 | | 2019 |