| Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review G Shin, MH Jarrahi, Y Fei, A Karami, N Gafinowitz, A Byun, X Lu Journal of biomedical informatics 93, 103153, 2019 | 282 | 2019 |
| SPARTA: Efficient open-domain question answering via sparse transformer matching retrieval T Zhao, X Lu, K Lee arXiv preprint arXiv:2009.13013, 2020 | 63 | 2020 |
| Vl-checklist: Evaluating pre-trained vision-language models with objects, attributes and relations T Zhao, T Zhang, M Zhu, H Shen, K Lee, X Lu, J Yin arXiv preprint arXiv:2207.00221, 2022 | 46 | 2022 |
| Core challenges in embodied vision-language planning J Francis, N Kitamura, F Labelle, X Lu, I Navarro, J Oh Journal of Artificial Intelligence Research 74, 459-515, 2022 | 32 | 2022 |
| Localize, group, and select: Boosting text-vqa by scene text modeling X Lu, Z Fan, Y Wang, J Oh, CP Rosé Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 30 | 2021 |
| Visualsparta: An embarrassingly simple approach to large-scale text-to-image search with weighted bag-of-words X Lu, T Zhao, K Lee arXiv preprint arXiv:2101.00265, 2021 | 26 | 2021 |
| Omdet: Language-aware object detection with large-scale vision-language multi-dataset pre-training T Zhao, P Liu, X Lu, K Lee arXiv preprint arXiv:2209.05946, 2022 | 9 | 2022 |
| Visualsparta: Sparse transformer fragment-level matching for large-scale text-to-image search X Lu, T Zhao, K Lee arXiv preprint arXiv:2101.00265 3, 2021 | 9 | 2021 |
| Should I invest it? Predicting future success of Yelp restaurants X Lu, J Qu, Y Jiang, Y Zhao Proceedings of the Practice and Experience on Advanced Research Computing, 1-6, 2018 | 9 | 2018 |
| An explainable toolbox for evaluating pre-trained vision-language models T Zhao, T Zhang, M Zhu, H Shen, K Lee, X Lu, J Yin Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 6 | 2022 |
| CIGLI: Conditional image generation from language & image X Lu, L Ng, J Fernandez, H Zhu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 2 | 2021 |
| Modeling and explaining sex differences in the prevalence of autism spectrum disorder MT Chen, ME Marraccini, RJ Simeonsson, X Lu OSF, 2020 | 2 | 2020 |
| Methods, systems, and computer readable media for creating and using minimum dictionary language (mdl) to access data in closed-domain data sets J Mostafa, LU Xiaopeng, S Avula US Patent App. 17/633,184, 2022 | | 2022 |
| Meta-analysis-tested formal models of potential mechanisms underlying females’ low autism-spectrum-disorder diagnosis rate compared to males’ MT Chen, X Lu, RJ Simeonsson, ME Marraccini, YP Chang Research in Autism Spectrum Disorders 98, 102047, 2022 | | 2022 |
| SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering X Lu, K Lee, T Zhao arXiv preprint arXiv:2101.01910, 2021 | | 2021 |
| Perennial, Permuted, and Pervasive Search in Ambient Intelligence J Mostafa, X Lu, S Avula 2019 IEEE First International Conference on Cognitive Machine Intelligence …, 2019 | | 2019 |
