| B2: Bridging code and interactive visualization in computational notebooks Y Wu, JM Hellerstein, A Satyanarayan Proceedings of the 33rd Annual ACM Symposium on User Interface Software and …, 2020 | 75 | 2020 |
| Combining Design and Performance in a Data Visualization Management System. E Wu, F Psallidas, Z Miao, H Zhang, L Rettig, Y Wu, T Sellam CIDR, 2017 | 41 | 2017 |
| Optimization of scoring rules Y Li, JD Hartline, L Shan, Y Wu Proceedings of the 23rd ACM Conference on Economics and Computation, 988-989, 2022 | 27 | 2022 |
| Causal support: Modeling causal inferences with visualizations A Kale, Y Wu, J Hullman IEEE transactions on visualization and computer graphics 28 (1), 1150-1160, 2021 | 21 | 2021 |
| Optimization of scoring rules JD Hartline, Y Li, L Shan, Y Wu arXiv preprint arXiv:2007.02905, 2020 | 13 | 2020 |
| Towards a bayesian model of data visualization cognition Y Wu, L Xu, R Chang, E Wu IEEE Visualization Workshop on Dealing with Cognitive Biases in …, 2017 | 13 | 2017 |
| Enhancing the interactivity of dataframe queries by leveraging think time D Xin, D Petersohn, D Tang, Y Wu, JE Gonzalez, JM Hellerstein, ... arXiv preprint arXiv:2103.02145, 2021 | 12 | 2021 |
| Optimal scoring rules for multi-dimensional effort JD Hartline, L Shan, Y Li, Y Wu The Thirty Sixth Annual Conference on Learning Theory, 2624-2650, 2023 | 11 | 2023 |
| Is a dataframe just a table? Y Wu 10th Workshop on Evaluation and Usability of Programming Languages and Tools …, 2020 | 9 | 2020 |
| Inferential tasks as a data-rich evaluation method for visualization D Cashman, Y Wu, R Chang, A Ottley EVIVA-ML: IEEE VIS workshop on evaluation of interactive visual machine …, 2019 | 9 | 2019 |
| A devil-ish approach to inconsistency in interactive visualizations Y Wu, JM Hellerstein, E Wu Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 1-6, 2016 | 9 | 2016 |
| The rational agent benchmark for data visualization Y Wu, Z Guo, M Mamakos, J Hartline, J Hullman IEEE transactions on visualization and computer graphics, 2023 | 8 | 2023 |
| Learning to incentivize information acquisition: Proper scoring rules meet principal-agent model S Chen, J Wu, Y Wu, Z Yang International Conference on Machine Learning, 5194-5218, 2023 | 7 | 2023 |
| Diel: Interactive visualization beyond the here and now Y Wu, R Chang, JM Hellerstein, A Satyanarayan, E Wu IEEE transactions on visualization and computer graphics 28 (1), 737-746, 2021 | 6 | 2021 |
| Making sense of asynchrony in interactive data visualizations Y Wu, L Xu, R Chang, JM Hellerstein, E Wu arXiv preprint arXiv:1806.01499, 2018 | 5 | 2018 |
| Facilitating exploration with interaction snapshots under high latency Y Wu, R Chang, JM Hellerstein, E Wu 2020 IEEE Visualization Conference (VIS), 136-140, 2020 | 4 | 2020 |
| Querying videos using DNN generated labels Y Wu, S Drucker, M Philipose, L Ravindranath Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 1-6, 2018 | 3 | 2018 |
| A Statistical Framework for Measuring AI Reliance Z Guo, Y Wu, J Hartline, J Hullman arXiv preprint arXiv:2401.15356, 2024 | 2 | 2024 |
| DIEL: Transparent Scaling for Interactive Visualization Y Wu, R Chang, E Wu, JM Hellerstein arXiv preprint arXiv:1907.00062, 2019 | 2 | 2019 |
| Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis P Nanayakkara, H Kim, Y Wu, A Sarvghad, N Mahyar, G Miklau, ... arXiv preprint arXiv:2406.01964, 2024 | 1 | 2024 |
Joseph HellersteinJim Gray Professor of the Graduate School, UC Berkeley在 berkeley.edu 的电子邮件经过验证
