| Rico: A mobile app dataset for building data-driven design applications B Deka, Z Huang, C Franzen, J Hibschman, D Afergan, Y Li, J Nichols, ... Proceedings of the 30th Annual ACM Symposium on User Interface Software and …, 2017 | 471 | 2017 |
| Swire: Sketch-based User Interface Retrieval F Huang, JF Canny, J Nichols Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 122 | 2019 |
| t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data DM Chan, R Rao, F Huang, JF Canny 2018 30th International Symposium on Computer Architecture and High …, 2018 | 112 | 2018 |
| ERICA: Interaction mining mobile apps B Deka, Z Huang, R Kumar Proceedings of the 29th Annual Symposium on User Interface Software and …, 2016 | 111 | 2016 |
| GPU accelerated t-distributed stochastic neighbor embedding DM Chan, R Rao, F Huang, JF Canny Journal of Parallel and Distributed Computing 131, 1-13, 2019 | 74 | 2019 |
| ZIPT: Zero-Integration Performance Testing of Mobile App Designs B Deka, Z Huang, C Franzen, J Nichols, Y Li, R Kumar Proceedings of the 30th Annual ACM Symposium on User Interface Software and …, 2017 | 40 | 2017 |
| Sketchforme: Composing sketched scenes from text descriptions for interactive applications F Huang, JF Canny Proceedings of the 32nd Annual ACM Symposium on User Interface Software and …, 2019 | 35 | 2019 |
| UMLAUT: Debugging Deep Learning Programs using Program Structure and Model Behavior E Schoop, F Huang, B Hartmann Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 31 | 2021 |
| Scones: towards conversational authoring of sketches F Huang, E Schoop, D Ha, J Canny Proceedings of the 25th International Conference on Intelligent User …, 2020 | 27 | 2020 |
| PLay: Parametrically conditioned layout generation using latent diffusion CY Cheng, F Huang, G Li, Y Li arXiv preprint arXiv:2301.11529, 2023 | 13 | 2023 |
| Enabling multi-modal search for inspirational design stimuli using deep learning E Kwon, F Huang, K Goucher-Lambert AI EDAM 36, e22, 2022 | 12 | 2022 |
| MakerLens: What Sign-In, Reservation and Training Data Can (and Cannot) Tell You About Your Makerspace E Schoop, F Huang, N Khuu, B Hartmann Paper presentation, International Symposium on Academic Makerspaces …, 2018 | 10 | 2018 |
| Multi-modal search for inspirational examples in design E Kwon, F Huang, K Goucher-Lambert International Design Engineering Technical Conferences and Computers and …, 2021 | 9 | 2021 |
| SCRAM: Simple Checks for Realtime Analysis of Model Training for Non-Expert ML Programmers E Schoop, F Huang, B Hartmann Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020 | 9 | 2020 |
| Ranking designs and users in online social networks B Deka, H Yu, D Ho, Z Huang, JO Talton, R Kumar Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human …, 2015 | 4 | 2015 |
| Automatic Macro Mining from Interaction Traces at Scale F Huang, G Li, T Li, Y Li Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-16, 2024 | | 2024 |
| An Early Rico Retrospective: Three Years Of Uses For A Mobile App Dataset B Doosti, B Deka, F Huang, J Nichols, T Dong | | 2021 |
