CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization. - Ruohan Zhan; Bin Dong (SIAM J. Imaging Sci., 2016)

Machine learning for cardiac ultrasound time series data. - Baichuan Yuan; Sathya R. Chitturi; Geoffrey Iyer; Nuoyu Li; Xiaochuan Xu; Ruohan Zhan; Rafael Llerena; Jesse T. Yen; Andrea L. Bertozzi (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Confidence Intervals for Policy Evaluation in Adaptive Experiments. - Vitor Hadad; David A. Hirshberg; Ruohan Zhan; Stefan Wager; Susan Athey (CoRR, 2019)

Distortion Agnostic Deep Watermarking. - Xiyang Luo; Ruohan Zhan; Huiwen Chang; Feng Yang 008; Peyman Milanfar (CVPR, 2020)

Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. - Ruohan Zhan; Vitor Hadad; David A. Hirshberg; Susan Athey (KDD, 2021)

Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. - Ruohan Zhan; Konstantina Christakopoulou; Ya Le; Jayden Ooi; Martin Mladenov; Alex Beutel; Craig Boutilier; Ed H. Chi; Minmin Chen (WWW, 2021)

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. - Ruohan Zhan; Changhua Pei; Qiang Su; Jianfeng Wen; Xueliang Wang; Guanyu Mu; Dong Zheng; Peng Jiang 002; Kun Gai (KDD, 2022)

Constrained Reinforcement Learning for Short Video Recommendation. - Qingpeng Cai 001; Ruohan Zhan; Chi Zhang; Jie Zheng; Guangwei Ding; Pinghua Gong; Dong Zheng; Peng Jiang 002 (CoRR, 2022)

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. - Wanqi Xue; Qingpeng Cai 001; Ruohan Zhan; Dong Zheng; Peng Jiang 002; Bo An 001 (CoRR, 2022)

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. - Ruohan Zhan; Changhua Pei; Qiang Su; Jianfeng Wen; Xueliang Wang; Guanyu Mu; Dong Zheng; Peng Jiang 002 (CoRR, 2022)

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. - Wanqi Xue; Qingpeng Cai 001; Ruohan Zhan; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (ICLR, 2023)

Fragility Index: A New Approach for Binary Classification. - Chen Yang 025; Ziqiang Zhang; Bo Cao; Zheng Cui; Bin Hu; Tong Li; Daniel Zhuoyu Long; Jin Qi; Feng Wang 023; Ruohan Zhan (KDD, 2023)

Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. - Sanath Kumar Krishnamurthy; Ruohan Zhan; Susan Athey; Emma Brunskill (NeurIPS, 2023)

Two-Stage Constrained Actor-Critic for Short Video Recommendation. - Qingpeng Cai 001; Zhenghai Xue; Chi Zhang; Wanqi Xue; Shuchang Liu 006; Ruohan Zhan; Xueliang Wang; Tianyou Zuo; Wentao Xie 002; Dong Zheng; Peng Jiang 002; Kun Gai (WWW, 2023)

Post-Episodic Reinforcement Learning Inference. - Vasilis Syrgkanis; Ruohan Zhan (CoRR, 2023)

Statistical Properties of Robust Satisficing. - Zhiyi Li; Yunbei Xu; Ruohan Zhan (ICML, 2024)

Adaptively Learning to Select-Rank in Online Platforms. - Jingyuan Wang; Perry Dong; Ying Jin; Ruohan Zhan; Zhengyuan Zhou (ICML, 2024)

Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach. - Ruohan Zhan; Shichao Han; Yuchen Hu; Zhenling Jiang (EC, 2024)

Distributionally Robust Policy Learning under Concept Drifts. - Jingyuan Wang; Zhimei Ren; Ruohan Zhan; Zhengyuan Zhou (CoRR, 2024)

Policy Learning with Adaptively Collected Data. - Ruohan Zhan; Zhimei Ren; Susan Athey; Zhengyuan Zhou (Manag. Sci., 2024)

Fragility-aware Classification for Understanding Risk and Improving Generalization. - Chen Yang 025; Zheng Cui; Daniel Zhuoyu Long; Jin Qi; Ruohan Zhan (CoRR, 2025)