Ruohan ZHAN
詹若涵

PhD in Computational and Mathematical Engineering
Stanford University, 2021

Assistant Professor
Department of Industrial Engineering and Decision Analytics

Google Scholar
MLl8P3AAAAAJ
ORCID
0000-0002-3426-2784
Scopus ID
57194472494

Research Interest

  • Data-driven decision making
  • Causal inference
  • Statistical learning
  • Experimental design

Publications

2024 1

Policy Learning with Adaptively Collected Data

Management Science, v. 70, (8), August 2024, p. 5270-5297
Zhan, Ruohan; Ren, Zhimei; Athey, Susan; Zhou, Zhengyuan
Article
2023 4

Fragility Index: A New Approach for Binary Classification

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2023, p. 2918-2929
Yang, Chen; Zhang, Ziqiang; Cao, Bo; Cui, Zheng; Hu, Bin; Li, Tong; Long, Daniel Zhuoyu; Qi, Jin; Wang, Feng; Zhan, Ruohan
Conference paper

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

Advances in Neural Information Processing Systems, v. 36, December 2023
Krishnamurthy, Sanath Kumar; Zhan, Ruohan; Athey, Susan; Brunskill, Emma
Conference paper

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

11th International Conference on Learning Representations, ICLR 2023, 2023, article number
Xue, Wanqi; Cai, Qingpeng; Zhan, Ruohan; Zheng, Dong; Jiang, Peng; Gai, Kun; An, Bo
Conference paper

Two-Stage Constrained Actor-Critic for Short Video Recommendation

WWW '23: Proceedings of the ACM Web Conference 2023 / Association for Computing Machinery. New York, USA : Association for Computing Machinery, 2023, p. 865-875
Cai, Qingpeng; Xue, Zhenghai; Zhang, Chi; Xue, Wanqi; Liu, Shuchang; Zhan, Ruohan; Wang, Xueliang; Zuo, Tianyou; Xie, Wentao; Zheng, Dong; Jiang, Peng; Gai, Kun
Conference paper
2022 1

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining / Association for Computing Machinery. New York, NY, USA : Association for Computing Machinery, 2022, p. 4472-4481
Zhan, Ruohan; Pei, Changhua; Su, Qiang; Wen, Jianfeng; Wang, Xueliang; Mu, Guanyu; Zheng, Dong; Jiang, Peng; Gai, Kun
Conference paper
2021 3

Confidence intervals for policy evaluation in adaptive experiments

Proceedings of the National Academy of Sciences of the United States of America, v. 118, (15), April 2021, article number e2014602118
Hadad, Vitor; Hirshberg, David A.; Zhan, Ruohan; Wager, Stefan; Athey, Susan
Article

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

KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining / Association for Computing Machinery. New York, USA : Association for Computing Machinery, 2021, p. 2125-2135
Zhan, Ruohan; Hadad, Vitor; Hirshberg, David A.; Athey, Susan
Conference paper

Towards content provider aware recommender systems: A simulation study on the interplay between user and provider utilities

WWW '21: Proceedings of the Web Conference 2021 / edited by Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia. New York, USA : Association for Computing Machinery, 2021, p. 3872-3883
Zhan, Ruohan; Christakopoulou, Konstantina; Le, Ya; Ooi, Jayden; Mladenov, Martin; Beutel, Alex; Boutilier, Craig; Chi, Ed H.; Chen, Minmin
Conference paper
2020 1

Distortion agnostic deep watermarking

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition / IEEE. Piscataway, NJ : IEEE, 2020, p. 13545-13554, Article number 9157561
Luo, Xiyang; Zhan, Ruohan; Chang, Huiwen; Yang, Feng; Milanfar, Peyman
Conference paper
2017 1

Machine learning for cardiac ultrasound time series data

Progress in Biomedical Optics and Imaging - Proceedings of SPIE, v. 10137, February 2017, article number 101372D
Yuan, Baichuan; Chitturi, Sathya R.; Iyer, Geoffrey; Li, Nuoyu; Xu, Xiaochuan; Zhan, Ruohan; Llerena, Rafael; Yen, Jesse T.; Bertozzi, Andrea L.
Conference paper
2016 1

CT image reconstruction by spatial-radon domain data-driven tight frame regularization

SIAM Journal on Imaging Sciences, v. 9, (3), July 2016, p. 1063-1083
Zhan, Ruohan; Dong, Bin
Article
Article 1

Policy Learning with Adaptively Collected Data

Management Science, v. 70, (8), August 2024, p. 5270-5297
Zhan, Ruohan; Ren, Zhimei; Athey, Susan; Zhou, Zhengyuan
Conference paper 4

Fragility Index: A New Approach for Binary Classification

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2023, p. 2918-2929
Yang, Chen; Zhang, Ziqiang; Cao, Bo; Cui, Zheng; Hu, Bin; Li, Tong; Long, Daniel Zhuoyu; Qi, Jin; Wang, Feng; Zhan, Ruohan

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

Advances in Neural Information Processing Systems, v. 36, December 2023
Krishnamurthy, Sanath Kumar; Zhan, Ruohan; Athey, Susan; Brunskill, Emma

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

11th International Conference on Learning Representations, ICLR 2023, 2023, article number
Xue, Wanqi; Cai, Qingpeng; Zhan, Ruohan; Zheng, Dong; Jiang, Peng; Gai, Kun; An, Bo

Two-Stage Constrained Actor-Critic for Short Video Recommendation

WWW '23: Proceedings of the ACM Web Conference 2023 / Association for Computing Machinery. New York, USA : Association for Computing Machinery, 2023, p. 865-875
Cai, Qingpeng; Xue, Zhenghai; Zhang, Chi; Xue, Wanqi; Liu, Shuchang; Zhan, Ruohan; Wang, Xueliang; Zuo, Tianyou; Xie, Wentao; Zheng, Dong; Jiang, Peng; Gai, Kun
Conference paper 1

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining / Association for Computing Machinery. New York, NY, USA : Association for Computing Machinery, 2022, p. 4472-4481
Zhan, Ruohan; Pei, Changhua; Su, Qiang; Wen, Jianfeng; Wang, Xueliang; Mu, Guanyu; Zheng, Dong; Jiang, Peng; Gai, Kun
Article 1

Confidence intervals for policy evaluation in adaptive experiments

Proceedings of the National Academy of Sciences of the United States of America, v. 118, (15), April 2021, article number e2014602118
Hadad, Vitor; Hirshberg, David A.; Zhan, Ruohan; Wager, Stefan; Athey, Susan
Conference paper 2

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

KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining / Association for Computing Machinery. New York, USA : Association for Computing Machinery, 2021, p. 2125-2135
Zhan, Ruohan; Hadad, Vitor; Hirshberg, David A.; Athey, Susan

Towards content provider aware recommender systems: A simulation study on the interplay between user and provider utilities

WWW '21: Proceedings of the Web Conference 2021 / edited by Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia. New York, USA : Association for Computing Machinery, 2021, p. 3872-3883
Zhan, Ruohan; Christakopoulou, Konstantina; Le, Ya; Ooi, Jayden; Mladenov, Martin; Beutel, Alex; Boutilier, Craig; Chi, Ed H.; Chen, Minmin
Conference paper 1

Distortion agnostic deep watermarking

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition / IEEE. Piscataway, NJ : IEEE, 2020, p. 13545-13554, Article number 9157561
Luo, Xiyang; Zhan, Ruohan; Chang, Huiwen; Yang, Feng; Milanfar, Peyman
Conference paper 1

Machine learning for cardiac ultrasound time series data

Progress in Biomedical Optics and Imaging - Proceedings of SPIE, v. 10137, February 2017, article number 101372D
Yuan, Baichuan; Chitturi, Sathya R.; Iyer, Geoffrey; Li, Nuoyu; Xu, Xiaochuan; Zhan, Ruohan; Llerena, Rafael; Yen, Jesse T.; Bertozzi, Andrea L.
Article 1

CT image reconstruction by spatial-radon domain data-driven tight frame regularization

SIAM Journal on Imaging Sciences, v. 9, (3), July 2016, p. 1063-1083
Zhan, Ruohan; Dong, Bin
2017 1

Machine learning for cardiac ultrasound time series data

Progress in Biomedical Optics and Imaging - Proceedings of SPIE, v. 10137, February 2017, article number 101372D
Yuan, Baichuan; Chitturi, Sathya R.; Iyer, Geoffrey; Li, Nuoyu; Xu, Xiaochuan; Zhan, Ruohan; Llerena, Rafael; Yen, Jesse T.; Bertozzi, Andrea L.
Conference paper
2016 1

CT image reconstruction by spatial-radon domain data-driven tight frame regularization

SIAM Journal on Imaging Sciences, v. 9, (3), July 2016, p. 1063-1083
Zhan, Ruohan; Dong, Bin
Article
No Publications

Teaching Assignment

IEDA3560 Predictive Analytics
IEDA4000D Introduction to Causal Inference
IEDA3560 Predictive Analytics
IEDA4130 System Simulation
IEDA4920 Decision Analytics Final Year Project
IEDA4960 Industrial Engineering and Engineering Management Final Year Project
No Teaching Assignments
No Teaching Assignments
No Teaching Assignments
No Teaching Assignments

Research Postgraduate (RPG) Supervision

From January 2022 to December 2025 (As of 30 March 2025)
Current RPGs
Doctor of Philosophy

  • LI, Zhiyi
    Industrial Engineering and Decision Analytics

  • HU, Yueying
    Industrial Engineering and Decision Analytics

  • WANG, Yanyuan (co-supervision)
    Industrial Engineering and Decision Analytics

Projects

From January 2023 to December 2025 (As of 30 March 2025)
  • Enhancing Hong Kong's Role in Sustainable Supply Chain Finance via Technology Transformation
    通過技術轉型提升香港在可持續供應鏈金融中的的地位 Participating
    RGC - Theme-based Research Scheme
    Project Team (HKUST)
    • ZHANG Jiheng (Lead)
    • CHEN Kani
    • JIANG Jiashuo
    • JIANG Wei
    • LIU Jia
    • LIU Qian
    • LYU Guodong
    • QI Jin
    • QI Xiangtong
    • SHEN Yiwen
    • SO Richard Hau Yue
    • WANG Yang
    • ZHAN Ruohan
    • ZHANG Rachel Quan
    • ZHANG Xiaowei
    • ZHENG Shaohui
    2025 -
  • Towards Enhanced User Satisfaction on Online Platforms: Dynamic Ranking with Uncertainty Incorporation
    提升在線平臺的用戶滿意度：結合不確定性的動態排序算法 Leading
    RGC - Early Career Scheme
    Project Team (HKUST)
    • ZHAN Ruohan (Lead)
    2025 -
  • Estimation and Optimization for Creator Long-term Retention
    估計和優化創作者的長期留存 Leading
    CCF-Tencent
    Project Team (HKUST)
    • ZHAN Ruohan (Lead)
    2024 -
  • Semiparametric Offline Reinforcement Learning: Policy Evaluation and Optimization
    半參數離線強化學習:策略評估和優化 Leading
    Guangdong Key Lab of Mathematical Foundations for Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen
    Project Team (HKUST)
    • ZHAN Ruohan (Lead)
    2024 -
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