Ruijiang Gao

According to our database1, Ruijiang Gao authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design.
CoRR, 2023

Confounding-Robust Policy Improvement with Human-AI Teams.
CoRR, 2023

Improving Tuning-Free Real Image Editing with Proximal Guidance.
CoRR, 2023

Learning Complementary Policies for Human-AI Teams.
CoRR, 2023

On the Impact of Algorithmic Recourse on Social Segregation.
Proceedings of the International Conference on Machine Learning, 2023

Probabilistic Conformal Prediction Using Conditional Random Samples.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Enhancing Counterfactual Classification Performance via Self-Training.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Enhancing Counterfactual Classification via Self-Training.
CoRR, 2021

Loss Functions for Discrete Contextual Pricing with Observational Data.
CoRR, 2021

Identifying Best Fair Intervention.
CoRR, 2021

Human-AI Collaboration with Bandit Feedback.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Dual Projection Generative Adversarial Networks for Conditional Image Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Cost-Accuracy Aware Adaptive Labeling for Active Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Unsupervised Domain Adaptation via Calibrating Uncertainties.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019


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