Ruohan Zhan

32 papers A* 12Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Post Reinforcement Learning Inference.
Oper. Res.
Vasilis Syrgkanis, Ruohan Zhan
2025 A* conf
Distributionally Robust Policy Learning under Concept Drifts.
ICML
Jingyuan Wang, Zhimei Ren, Ruohan Zhan, Zhengyuan Zhou
2025 J jnl
Fragility-aware Classification for Understanding Risk and Improving Generalization.
CoRR
Chen Yang, Zheng Cui, Daniel Zhuoyu Long, Jin Qi, Ruohan Zhan
2024 A* conf
Adaptively Learning to Select-Rank in Online Platforms.
ICML
Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou
2024 J jnl
Adaptively Learning to Select-Rank in Online Platforms.
CoRR
Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou
2024 J jnl
Distributionally Robust Policy Learning under Concept Drifts.
CoRR
Jingyuan Wang, Zhimei Ren, Ruohan Zhan, Zhengyuan Zhou
2024 A* conf
Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach.
EC
Ruohan Zhan, Shichao Han, Yuchen Hu, Zhenling Jiang
2024 J jnl
Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach.
CoRR
Ruohan Zhan, Shichao Han, Yuchen Hu, Zhenling Jiang
2024 J jnl
Policy Learning with Adaptively Collected Data.
Manag. Sci.
Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou
2024 A* conf
Statistical Properties of Robust Satisficing.
ICML
Zhiyi Li, Yunbei Xu, Ruohan Zhan
2024 J jnl
Statistical Properties of Robust Satisficing.
CoRR
Zhiyi Li, Yunbei Xu, Ruohan Zhan
2023 A* conf
Fragility Index: A New Approach for Binary Classification.
KDD
Chen Yang, Ziqiang Zhang, Bo Cao, Zheng Cui, Bin Hu, Tong Li, Daniel Zhuoyu Long, Jin Qi, Feng Wang, Ruohan Zhan
2023 J jnl
Post-Episodic Reinforcement Learning Inference.
CoRR
Vasilis Syrgkanis, Ruohan Zhan
2023 A* conf
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization.
NeurIPS
Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
2023 J jnl
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization.
CoRR
Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
2023 A* conf
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.
ICLR
Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An
2023 A* conf
Two-Stage Constrained Actor-Critic for Short Video Recommendation.
WWW
Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai
2023 J jnl
Two-Stage Constrained Actor-Critic for Short Video Recommendation.
CoRR
Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai
2022 J jnl
Constrained Reinforcement Learning for Short Video Recommendation.
CoRR
Qingpeng Cai, Ruohan Zhan, Chi Zhang, Jie Zheng, Guangwei Ding, Pinghua Gong, Dong Zheng, Peng Jiang
2022 A* conf
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation.
KDD
Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang, Kun Gai
2022 J jnl
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation.
CoRR
Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang
2022 J jnl
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.
CoRR
Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Bo An
2021 A* conf
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits.
KDD
Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey
2021 J jnl
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits.
CoRR
Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey
2021 J jnl
Policy Learning with Adaptively Collected Data.
CoRR
Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou
2021 A* conf
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities.
WWW
Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen
2021 J jnl
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities.
CoRR
Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen
2020 A* conf
Distortion Agnostic Deep Watermarking.
CVPR
Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar
2020 J jnl
Distortion Agnostic Deep Watermarking.
CoRR
Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar
2019 J jnl
Confidence Intervals for Policy Evaluation in Adaptive Experiments.
CoRR
Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey
2017 — conf
Machine learning for cardiac ultrasound time series data.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Baichuan Yuan, Sathya R. Chitturi, Geoffrey Iyer, Nuoyu Li, Xiaochuan Xu, Ruohan Zhan, Rafael Llerena, Jesse T. Yen, Andrea L. Bertozzi
2016 J jnl
CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization.
SIAM J. Imaging Sci.
Ruohan Zhan, Bin Dong