| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 202 | 2022 |
| Interpretable sequence learning for COVID-19 forecasting S Arik, CL Li, J Yoon, R Sinha, A Epshteyn, L Le, V Menon, S Singh, ... Advances in Neural Information Processing Systems 33, 18807-18818, 2020 | 97 | 2020 |
| The United States COVID-19 forecast hub dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... Scientific data 9 (1), 462, 2022 | 93 | 2022 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 90 | 2021 |
| Evaluating the Quality of Educational Answers in Community Question-Answering LT Le, C Shah, E Choi Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries …, 2016 | 41 | 2016 |
| MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps LT Le, T Eliassi-Rad, H Tong The 2015 SIAM International Conference on Data Mining (SDM 15), 2015 | 33 | 2015 |
| Game action based power management for multiplayer online game B Anand, AL Ananda, MC Chan, LT Le, RK Balan Proceedings of the 1st ACM workshop on Networking, systems, and applications …, 2009 | 32 | 2009 |
| Retrieving Rising Stars in Focused Community Question-Answering LT Le, C Shah Intelligent Information and Database Systems, 25-36, 2016 | 26 | 2016 |
| Retrieving People: Identifying Potential Answerers in Community Question-Answering LT Le, C Shah Journal of the Association for Information Science and Technology, 2018 | 24 | 2018 |
| Arivu: Power-aware middleware for multiplayer mobile games B Anand, K Thirugnanam, LT Long, DD Pham, AL Ananda, RK Balan, ... Proceedings of the 9th Annual Workshop on Network and Systems Support for …, 2010 | 22 | 2010 |
| A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan SÖ Arık, J Shor, R Sinha, J Yoon, JR Ledsam, LT Le, MW Dusenberry, ... NPJ digital medicine 4 (1), 146, 2021 | 20 | 2021 |
| Assessing the quality of answers autonomously in community question–answering LT Le, C Shah, E Choi International Journal on Digital Libraries 20 (4), 351-367, 2019 | 18 | 2019 |
| Bad Users or Bad Content?: Breaking the Vicious Cycle by Finding Struggling Students in Community Question-Answering LT Le, C Shah, E Choi Proceedings of the 2017 Conference on Conference Human Information …, 2017 | 11 | 2017 |
| Discerning the Quality of Questions in Educational Q&Ausing Textual Features M Rath, LT Le, C Shah Proceedings of the 2017 Conference on Conference Human Information …, 2017 | 7 | 2017 |
| Hyperlocal: inferring location of IP addresses in real-time bid requests for mobile ads LT Le, T Eliassi-Rad, F Provost, L Moores Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location …, 2013 | 6 | 2013 |
| Interpretable Sequence Learning for COVID-19 Forecasting. arXiv 2020 SO Arik, CL Li, J Yoon, R Sinha, A Epshteyn, LT Le, V Menon, S Singh, ... arXiv preprint arXiv:2008.00646, 0 | 6 | |
| Evaluating the quality of educational answers in community question-answering. In 2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)(pp 129-138) LT Le, C Shah, E Choi IEEE. Newark, NJ, USA, 2016 | 5 | 2016 |
| CodecLM: Aligning Language Models with Tailored Synthetic Data Z Wang, CL Li, V Perot, LT Le, J Miao, Z Zhang, CY Lee, T Pfister NAACL 2024, 2024 | 1 | 2024 |
| A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan J Ledsam, S Arik, J Shor, R Sinha, J Yoon, L Le, M Dusenberry, N Yoder, ... | 1 | 2021 |
| Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting Z Wang, Z Wang, L Le, HS Zheng, S Mishra, V Perot, Y Zhang, ... arXiv preprint arXiv:2407.08223, 2024 | | 2024 |
