Ruijiang Gao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Pairwise Comparison

Machine Learning

Top Venues

Publications

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)
Mingzhang Yin, Ruijiang Gao, Weiran Lin, Steven M. Shugan
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design. CoRR (2023)
Ruijiang Gao, Himabindu Lakkaraju
On the Impact of Algorithmic Recourse on Social Segregation. ICML (2023)
Ruijiang Gao, Mingzhang Yin
Confounding-Robust Policy Improvement with Human-AI Teams. CoRR (2023)
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 Negative-Prompt Inversion via Proximal Guidance. CoRR (2023)
Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei
Probabilistic Conformal Prediction Using Conditional Random Samples. AISTATS (2023)
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 (2023)
Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han
Enhancing Counterfactual Classification Performance via Self-Training. AAAI (2022)
Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei
Probabilistic Conformal Prediction Using Conditional Random Samples. CoRR (2022)
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)
Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease
Human-AI Collaboration with Bandit Feedback. IJCAI (2021)
Max Biggs, Ruijiang Gao, Wei Sun
Loss Functions for Discrete Contextual Pricing with Observational Data. CoRR (2021)
Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han
Enhancing Counterfactual Classification via Self-Training. CoRR (2021)
Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease
Human-AI Collaboration with Bandit Feedback. CoRR (2021)
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)
Ruijiang Gao, Han Feng
Identifying Best Fair Intervention. CoRR (2021)
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 (2021)
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 (2021)
Ruijiang Gao, Maytal Saar-Tsechansky
Cost-Accuracy Aware Adaptive Labeling for Active Learning. CoRR (2021)
Ruijiang Gao, Maytal Saar-Tsechansky
Cost-Accuracy Aware Adaptive Labeling for Active Learning. AAAI (2020)
Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. AAAI (2020)
Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. CoRR (2019)
Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas
Unsupervised Domain Adaptation via Calibrating Uncertainties. CVPR Workshops (2019)
Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas
Unsupervised Domain Adaptation via Calibrating Uncertainties. CoRR (2019)