Ruohan Zhan

According to our database, Ruohan Zhan authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Post-Episodic Reinforcement Learning Inference.

Vasilis Syrgkanis, Ruohan Zhan

CoRR, 2023

Two-Stage Constrained Actor-Critic for Short Video Recommendation.

Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the ACM Web Conference 2023, 2023

Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization.

Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fragility Index: A New Approach for Binary Classification.

Chen Yang, Ziqiang Zhang, Bo Cao, Zheng Cui, Bin Hu, Tong Li, Daniel Zhuoyu Long, Jin Qi, Feng Wang, Ruohan Zhan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.

Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

CoRR, 2022

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.

Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Bo An

CoRR, 2022

Constrained Reinforcement Learning for Short Video Recommendation.

Qingpeng Cai, Ruohan Zhan, Chi Zhang, Jie Zheng, Guangwei Ding, Pinghua Gong, Dong Zheng, Peng Jiang

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, Kun Gai

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Policy Learning with Adaptively Collected Data.

Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou

CoRR, 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

Proceedings of the WWW '21: The Web Conference 2021, 2021

Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits.

Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Distortion Agnostic Deep Watermarking.

Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Confidence Intervals for Policy Evaluation in Adaptive Experiments.

Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey

CoRR, 2019

2017

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

Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

2016

CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization.

Ruohan Zhan, Bin Dong

SIAM J. Imaging Sci., 2016