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2020 – today
- 2024
[c10]Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Anastasis Stathopoulos, Xiaoxiao He, Yuxiao Chen, Di Liu, Qilong Zhangli, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris N. Metaxas:
ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. WACV 2024: 4279-4289- [i16]Ruijiang Gao, Mingzhang Yin, James McInerney, Nathan Kallus:
Adjusting Regression Models for Conditional Uncertainty Calibration. CoRR abs/2409.17466 (2024) - [i15]Junyu Cao, Ruijiang Gao, Esmaeil Keyvanshokooh:
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit. CoRR abs/2410.14640 (2024) - 2023
- [c9]Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei:
Probabilistic Conformal Prediction Using Conditional Random Samples. AISTATS 2023: 8814-8836 - [c8]Ruijiang Gao, Himabindu Lakkaraju:
On the Impact of Algorithmic Recourse on Social Segregation. ICML 2023: 10727-10743 - [i14]Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Wei Sun, Min Kyung Lee, Matthew Lease:
Learning Complementary Policies for Human-AI Teams. CoRR abs/2302.02944 (2023) - [i13]Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Yuxiao Chen, Di Liu, Qilong Zhangli, Anastasis Stathopoulos, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris N. Metaxas:
Improving Tuning-Free Real Image Editing with Proximal Guidance. CoRR abs/2306.05414 (2023) - [i12]Ruijiang Gao, Mingzhang Yin:
Confounding-Robust Policy Improvement with Human-AI Teams. CoRR abs/2310.08824 (2023) - [i11]Mingzhang Yin, Ruijiang Gao, Weiran Lin, Steven M. Shugan:
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design. CoRR abs/2310.12026 (2023) - 2022
- [c7]Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han:
Enhancing Counterfactual Classification Performance via Self-Training. AAAI 2022: 6665-6673 - [c6]Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min
, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas:
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. WACV 2022: 955-964 - [i10]Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei:
Probabilistic Conformal Prediction Using Conditional Random Samples. CoRR abs/2206.06584 (2022) - 2021
- [c5]Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas:
Dual Projection Generative Adversarial Networks for Conditional Image Generation. ICCV 2021: 14418-14427 - [c4]Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease:
Human-AI Collaboration with Bandit Feedback. IJCAI 2021: 1722-1728 - [i9]Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease:
Human-AI Collaboration with Bandit Feedback. CoRR abs/2105.10614 (2021) - [i8]Ruijiang Gao, Maytal Saar-Tsechansky:
Cost-Accuracy Aware Adaptive Labeling for Active Learning. CoRR abs/2105.11418 (2021) - [i7]Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas:
Dual Projection Generative Adversarial Networks for Conditional Image Generation. CoRR abs/2108.09016 (2021) - [i6]Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas:
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. CoRR abs/2110.08718 (2021) - [i5]Ruijiang Gao, Han Feng:
Identifying Best Fair Intervention. CoRR abs/2111.04272 (2021) - [i4]Max Biggs, Ruijiang Gao, Wei Sun:
Loss Functions for Discrete Contextual Pricing with Observational Data. CoRR abs/2111.09933 (2021) - [i3]Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han:
Enhancing Counterfactual Classification via Self-Training. CoRR abs/2112.04461 (2021) - 2020
- [c3]Ruijiang Gao, Maytal Saar-Tsechansky:
Cost-Accuracy Aware Adaptive Labeling for Active Learning. AAAI 2020: 2569-2576 - [c2]Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas:
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. AAAI 2020: 10909-10916
2010 – 2019
- 2019
- [c1]Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas:
Unsupervised Domain Adaptation via Calibrating Uncertainties. CVPR Workshops 2019: 99-102 - [i2]Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas:
Unsupervised Domain Adaptation via Calibrating Uncertainties. CoRR abs/1907.11202 (2019) - [i1]Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas:
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. CoRR abs/1911.09298 (2019)
Coauthor Index
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