| When deep learning met code search J Cambronero, H Li, S Kim, K Sen, S Chandra Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 255 | 2019 |
| Retrieval on source code: a neural code search S Sachdev, H Li, S Luan, S Kim, K Sen, S Chandra Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine …, 2018 | 208 | 2018 |
| Neural code search evaluation dataset H Li, S Kim, S Chandra arXiv preprint arXiv:1908.09804, 2019 | 32 | 2019 |
| Learning autocompletion from real-world datasets GA Aye, S Kim, H Li 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 30 | 2021 |
| Comprehensive analysis of 2.4 million patent-to-research citations maps the biomedical innovation and translation landscape A Manjunath, H Li, S Song, Z Zhang, S Liu, N Kahrobai, A Gowda, ... Nature Biotechnology 39 (6), 678-683, 2021 | 16 | 2021 |
| Natural Language Supported Relation Matching for Question Answering with Knowledge Graphs. H Li, C Xiong, J Callan KG4IR@ SIGIR, 43-48, 2017 | 11 | 2017 |
| Learning to learn to predict performance regressions in production at meta M Beller, H Li, V Nair, V Murali, I Ahmad, J Cito, D Carlson, A Aye, W Dyer 2023 IEEE/ACM International Conference on Automation of Software Test (AST …, 2023 | 6 | 2023 |
