| Enabling conversational interaction with mobile ui using large language models B Wang, G Li, Y Li Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 174 | 2023 |
| Pali-x: On scaling up a multilingual vision and language model X Chen, J Djolonga, P Padlewski, B Mustafa, S Changpinyo, J Wu, ... arXiv preprint arXiv:2305.18565, 2023 | 168 | 2023 |
| iPTMnet: an integrated resource for protein post-translational modification network discovery H Huang, CN Arighi, KE Ross, J Ren, G Li, SC Chen, Q Wang, J Cowart, ... Nucleic acids research 46 (D1), D542-D550, 2018 | 146 | 2018 |
| Screen2words: Automatic mobile UI summarization with multimodal learning B Wang, G Li, X Zhou, Z Chen, T Grossman, Y Li The 34th Annual ACM Symposium on User Interface Software and Technology, 498-510, 2021 | 139 | 2021 |
| Learnable fourier features for multi-dimensional spatial positional encoding Y Li, S Si, G Li, CJ Hsieh, S Bengio Advances in Neural Information Processing Systems 34, 15816-15829, 2021 | 101 | 2021 |
| Widget captioning: Generating natural language description for mobile user interface elements Y Li, G Li, L He, J Zheng, H Li, Z Guan arXiv preprint arXiv:2010.04295, 2020 | 97 | 2020 |
| miRTex: a text mining system for miRNA-gene relation extraction G Li, KE Ross, CN Arighi, Y Peng, CH Wu, K Vijay-Shanker PLoS computational biology 11 (9), e1004391, 2015 | 71 | 2015 |
| Rich human feedback for text-to-image generation Y Liang, J He, G Li, P Li, A Klimovskiy, N Carolan, J Sun, J Pont-Tuset, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 66 | 2024 |
| RLIMS-P 2.0: a generalizable rule-based information extraction system for literature mining of protein phosphorylation information M Torii, CN Arighi, G Li, Q Wang, CH Wu, K Vijay-Shanker IEEE/ACM transactions on computational biology and bioinformatics 12 (1), 17-29, 2014 | 54 | 2014 |
| Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus G Li, Y Li The Eleventh International Conference on Learning Representations, 2023 | 49 | 2023 |
| Learning to denoise raw mobile UI layouts for improving datasets at scale G Li, G Baechler, M Tragut, Y Li Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 47 | 2022 |
| Audio de-identification: A new entity recognition task I Cohn, I Laish, G Beryozkin, G Li, I Shafran, I Szpektor, T Hartman, ... arXiv preprint arXiv:1903.07037, 2019 | 41 | 2019 |
| Using distant supervision to augment manually annotated data for relation extraction P Su, G Li, C Wu, K Vijay-Shanker PloS one 14 (7), e0216913, 2019 | 34 | 2019 |
| iPTMnet: integrative bioinformatics for studying PTM networks KE Ross, H Huang, J Ren, CN Arighi, G Li, CO Tudor, M Lv, JY Lee, ... Protein bioinformatics: from Protein modifications and networks to …, 2017 | 34 | 2017 |
| Construction of phosphorylation interaction networks by text mining of full-length articles using the eFIP system CO Tudor, KE Ross, G Li, K Vijay-Shanker, CH Wu, CN Arighi Database 2015, bav020, 2015 | 34 | 2015 |
| Learning to infer entities, properties and their relations from clinical conversations N Du, M Wang, L Tran, G Li, I Shafran arXiv preprint arXiv:1908.11536, 2019 | 33 | 2019 |
| Predicting and explaining mobile ui tappability with vision modeling and saliency analysis E Schoop, X Zhou, G Li, Z Chen, B Hartmann, Y Li Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 31 | 2022 |
| Play: Parametrically conditioned layout generation using latent diffusion CY Cheng, F Huang, G Li, Y Li arXiv preprint arXiv:2301.11529, 2023 | 29 | 2023 |
| Vut: Versatile ui transformer for multi-modal multi-task user interface modeling Y Li, G Li, X Zhou, M Dehghani, A Gritsenko arXiv preprint arXiv:2112.05692, 2021 | 29 | 2021 |
| Helpviz: Automatic generation of contextual visual mobile tutorials from text-based instructions M Zhong, G Li, P Chi, Y Li The 34th Annual ACM Symposium on User Interface Software and Technology …, 2021 | 28 | 2021 |
Yang LiSenior Staff Research Scientist, GoogleE-mailová adresa ověřena na: acm.org