| Human-AI collaboration with bandit feedback R Gao, M Saar-Tsechansky, M De-Arteaga, L Han, MK Lee, M Lease arXiv preprint arXiv:2105.10614, 2021 | 44 | 2021 |
| Unsupervised domain adaptation via calibrating uncertainties L Han, Y Zou, R Gao, L Wang, D Metaxas CVPR Workshops 9, 2019 | 35 | 2019 |
| Cost-accuracy aware adaptive labeling for active learning R Gao, M Saar-Tsechansky Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2569-2576, 2020 | 21 | 2020 |
| Dual projection generative adversarial networks for conditional image generation L Han, MR Min, A Stathopoulos, Y Tian, R Gao, A Kadav, DN Metaxas Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 17 | 2021 |
| Robust conditional GAN from uncertainty-aware pairwise comparisons L Han, R Gao, M Kim, X Tao, B Liu, D Metaxas Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10909 …, 2020 | 16 | 2020 |
| Improving negative-prompt inversion via proximal guidance L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, Y Chen, D Liu, ... arXiv preprint arXiv:2306.05414, 2023 | 15 | 2023 |
| Ae-stylegan: Improved training of style-based auto-encoders L Han, SH Musunuri, MR Min, R Gao, Y Tian, D Metaxas Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 12 | 2022 |
| Enhancing Counterfactual Classification Performance via Self-Training R Gao, M Biggs, W Sun, L Han Proceedings of the AAAI conference on artificial intelligence 36 (6), 6665-6673, 2022 | 10* | 2022 |
| Loss functions for discrete contextual pricing with observational data M Biggs, R Gao, W Sun arXiv preprint arXiv:2111.09933, 2021 | 10 | 2021 |
| Probabilistic conformal prediction using conditional random samples Z Wang, R Gao, M Yin, M Zhou, DM Blei arXiv preprint arXiv:2206.06584, 2022 | 8 | 2022 |
| Proxedit: Improving tuning-free real image editing with proximal guidance L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 4 | 2024 |
| Learning complementary policies for human-ai teams R Gao, M Saar-Tsechansky, M De-Arteaga, L Han, W Sun, MK Lee, ... arXiv preprint arXiv:2302.02944, 2023 | 4 | 2023 |
| Confounding-Robust Policy Improvement with Human-AI Teams R Gao, M Yin arXiv preprint arXiv:2310.08824, 2023 | 2 | 2023 |
| On the impact of algorithmic recourse on social segregation R Gao, H Lakkaraju International Conference on Machine Learning, 10727-10743, 2023 | 1 | 2023 |
| Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design M Yin, R Gao, W Lin, SM Shugan arXiv preprint arXiv:2310.12026, 2023 | | 2023 |
| Imputing counterfactual data to faciltiate machine learning model training R Gao, W Sun, M Biggs, Y Drissi, M Ettl US Patent App. 17/654,617, 2023 | | 2023 |
| On the Impact of Actionable Explanations on Social Segregation R Gao, H Lakkaraju International Conference on Machine Learning, 2023 | | 2023 |
| Counterfactual self-training R Gao, W Sun, M Biggs, M Ettl, Y Drissi US Patent App. 17/402,367, 2023 | | 2023 |
| ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance (Supplementary Materials) L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ... | | |
Ligong HanPhD Candidate, Department of Computer Science, Rutgers UniversityVerified email at rutgers.edu
