Ruijiang Gao - RankMe

35 papers A* 8A 4Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Demand Estimation: Consumer Surplus Evaluation via Cumulative Propensity Weights. CoRR Zeyu Bian, Max Biggs, Ruijiang Gao, Zhengling Qi
2026	J	`jnl`	LIBRA: Language Model Informed Bandit Recourse Algorithm for Personalized Treatment Planning. CoRR Junyu Cao, Ruijiang Gao, Esmaeil Keyvanshokooh, Jianhao Ma
2026	J	`jnl`	Nonstandard Errors in AI Agents. CoRR Ruijiang Gao, Steven Chong Xiao
2025	A*	`conf`	Confounding-Robust Deferral Policy Learning. AAAI Ruijiang Gao, Mingzhang Yin
2025	A	`conf`	HR-Bandit: Human-AI Collaborated Linear Recourse Bandit. AISTATS Junyu Cao, Ruijiang Gao, Esmaeil Keyvanshokooh
2025	J	`jnl`	Revealing AI Reasoning Increases Trust but Crowds Out Unique Human Knowledge. CoRR Zenan Chen, Ruijiang Gao, Yingzhi Liang
2025	J	`jnl`	Sell Data to AI Algorithms Without Revealing It: Secure Data Valuation and Sharing via Homomorphic Encryption. CoRR Michael Yang, Ruijiang Gao, Zhiqiang Zheng
2024	J	`jnl`	Adjusting Regression Models for Conditional Uncertainty Calibration. CoRR Ruijiang Gao, Mingzhang Yin, James McInerney, Nathan Kallus
2024	J	`jnl`	Adjusting regression models for conditional uncertainty calibration. Mach. Learn. Ruijiang Gao, Mingzhang Yin, James McInerney, Nathan Kallus
2024	J	`jnl`	HR-Bandit: Human-AI Collaborated Linear Recourse Bandit. CoRR Junyu Cao, Ruijiang Gao, Esmaeil Keyvanshokooh
2024	A	`conf`	ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. WACV 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
2024	A*	`conf`	SEL-BALD: Deep Bayesian Active Learning with Selective Labels. NeurIPS Ruijiang Gao, Mingzhang Yin, Maytal Saar-Tsechansky
2023	J	`jnl`	Confounding-Robust Policy Improvement with Human-AI Teams. CoRR Ruijiang Gao, Mingzhang Yin
2023	J	`jnl`	Improving Tuning-Free Real Image Editing with Proximal Guidance. CoRR 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
2023	J	`jnl`	Learning Complementary Policies for Human-AI Teams. CoRR Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Wei Sun, Min Kyung Lee, Matthew Lease
2023	J	`jnl`	Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design. CoRR Mingzhang Yin, Ruijiang Gao, Weiran Lin, Steven M. Shugan
2023	A*	`conf`	On the Impact of Algorithmic Recourse on Social Segregation. ICML Ruijiang Gao, Himabindu Lakkaraju
2023	A	`conf`	Probabilistic Conformal Prediction Using Conditional Random Samples. AISTATS Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei
2022	A	`conf`	AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. WACV Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas
2022	A*	`conf`	Enhancing Counterfactual Classification Performance via Self-Training. AAAI Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han
2022	J	`jnl`	Probabilistic Conformal Prediction Using Conditional Random Samples. CoRR Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei
2021	J	`jnl`	AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. CoRR Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas
2021	J	`jnl`	Cost-Accuracy Aware Adaptive Labeling for Active Learning. CoRR Ruijiang Gao, Maytal Saar-Tsechansky
2021	A*	`conf`	Dual Projection Generative Adversarial Networks for Conditional Image Generation. ICCV Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas
2021	J	`jnl`	Dual Projection Generative Adversarial Networks for Conditional Image Generation. CoRR Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas
2021	J	`jnl`	Enhancing Counterfactual Classification via Self-Training. CoRR Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han
2021	A*	`conf`	Human-AI Collaboration with Bandit Feedback. IJCAI Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease
2021	J	`jnl`	Human-AI Collaboration with Bandit Feedback. CoRR Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease
2021	J	`jnl`	Identifying Best Fair Intervention. CoRR Ruijiang Gao, Han Feng
2021	J	`jnl`	Loss Functions for Discrete Contextual Pricing with Observational Data. CoRR Max Biggs, Ruijiang Gao, Wei Sun
2020	A*	`conf`	Cost-Accuracy Aware Adaptive Labeling for Active Learning. AAAI Ruijiang Gao, Maytal Saar-Tsechansky
2020	A*	`conf`	Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. AAAI Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas
2019	J	`jnl`	Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. CoRR Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas
2019	—	`conf`	Unsupervised Domain Adaptation via Calibrating Uncertainties. CVPR Workshops Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas
2019	J	`jnl`	Unsupervised Domain Adaptation via Calibrating Uncertainties. CoRR Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas