Ruijiang Gao

According to our database, Ruijiang Gao authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HR-Bandit: Human-AI Collaborated Linear Recourse Bandit.

Junyu Cao, Ruijiang Gao, Esmaeil Keyvanshokooh

CoRR, 2024

Adjusting Regression Models for Conditional Uncertainty Calibration.

Ruijiang Gao, Mingzhang Yin, James McInerney, Nathan Kallus

CoRR, 2024

ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design.

Mingzhang Yin, Ruijiang Gao, Weiran Lin, Steven M. Shugan

CoRR, 2023

Confounding-Robust Policy Improvement with Human-AI Teams.

Ruijiang Gao, Mingzhang Yin

CoRR, 2023

Improving Tuning-Free Real Image Editing with Proximal Guidance.

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

CoRR, 2023

Learning Complementary Policies for Human-AI Teams.

Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Wei Sun, Min Kyung Lee, Matthew Lease

CoRR, 2023

On the Impact of Algorithmic Recourse on Social Segregation.

Ruijiang Gao, Himabindu Lakkaraju

Proceedings of the International Conference on Machine Learning, 2023

Probabilistic Conformal Prediction Using Conditional Random Samples.

Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

AE-StyleGAN: Improved Training of Style-Based Auto-Encoders.

Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Enhancing Counterfactual Classification Performance via Self-Training.

Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Enhancing Counterfactual Classification via Self-Training.

Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han

CoRR, 2021

Loss Functions for Discrete Contextual Pricing with Observational Data.

Max Biggs, Ruijiang Gao, Wei Sun

CoRR, 2021

Identifying Best Fair Intervention.

Ruijiang Gao, Han Feng

CoRR, 2021

Human-AI Collaboration with Bandit Feedback.

Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Dual Projection Generative Adversarial Networks for Conditional Image Generation.

Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons.

Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Cost-Accuracy Aware Adaptive Labeling for Active Learning.

Ruijiang Gao, Maytal Saar-Tsechansky

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Unsupervised Domain Adaptation via Calibrating Uncertainties.

Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019