Ruihao Zhu

According to our database, Ruihao Zhu authored at least 30 papers between 2013 and 2023.

Collaborative distances:

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

2023

Nonstationary Reinforcement Learning: The Blessing of (More) Optimism.

Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu

Manag. Sci., October, 2023

Efficient and Interpretable Bandit Algorithms.

Subhojyoti Mukherjee, Ruihao Zhu, Branislav Kveton

CoRR, 2023

User Experience Design Professionals' Perceptions of Generative Artificial Intelligence.

Jie Li, Hancheng Cao, Laura Lin, Youyang Hou, Ruihao Zhu, Abdallah El Ali

CoRR, 2023

LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation.

Ruitao Zhu, Detao Lv, Yao Yu, Ruihao Zhu, Zhenzhe Zheng, Ke Bu, Quan Lu, Fan Wu

Proceedings of the ACM Web Conference 2023, 2023

Temporal Fairness in Learning and Earning: Price Protection Guarantee and Phase Transitions.

Qing Feng, Ruihao Zhu, Stefanus Jasin

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Trigger Warning Labeling with RoBERTa and Resampling for Distressing Content Detection.

Haojie Cao, Zhongyuan Han, Guiyuan Cao, Ruihao Zhu, Yongqi Liang, Siman Liu, Minhua Huang, Haihao Yu

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking.

Shigang Quan, Hailong Tan, Shui Liu, Zhenzhe Zheng, Ruihao Zhu, Liangyue Li, Quan Lu, Fan Wu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Hedging the Drift: Learning to Optimize Under Nonstationarity.

Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu

Manag. Sci., 2022

Meta Dynamic Pricing: Transfer Learning Across Experiments.

Hamsa Bastani, David Simchi-Levi, Ruihao Zhu

Manag. Sci., 2022

Learning to Price Supply Chain Contracts against a Learning Retailer.

Xuejun Zhao, Ruihao Zhu, William B. Haskell

CoRR, 2022

Phase Transitions in Learning and Earning under Price Protection Guarantee.

Qing Feng, Ruihao Zhu, Stefanus Jasin

CoRR, 2022

Risk-Aware Linear Bandits: Theory and Applications in Smart Order Routing.

Jingwei Ji, Renyuan Xu, Ruihao Zhu

CoRR, 2022

Risk-Aware Linear Bandits with Application in Smart Order Routing.

Jingwei Ji, Renyuan Xu, Ruihao Zhu

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Safe Optimal Design with Applications in Off-Policy Learning.

Ruihao Zhu, Branislav Kveton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Safe Optimal Design with Applications in Policy Learning.

Ruihao Zhu, Branislav Kveton

CoRR, 2021

Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs.

Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar

Proceedings of the 38th International Conference on Machine Learning, 2021

A soft quadruped robot enabled by continuum actuators.

Seshagopalan Thorapalli Muralidharan, Ruihao Zhu, Qinglei Ji, Lei Feng, Xi Vincent Wang, Lihui Wang

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs.

Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar

CoRR, 2020

Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism.

Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Reinforcement Learning under Drift.

Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu

CoRR, 2019

Hedging the Drift: Learning to Optimize under Non-Stationarity.

Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu

CoRR, 2019

Meta Dynamic Pricing: Learning Across Experiments.

Hamsa Bastani, David Simchi-Levi, Ruihao Zhu

CoRR, 2019

Learning to Optimize under Non-Stationarity.

Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Learning to Route Efficiently with End-to-End Feedback: The Value of Networked Structure.

Ruihao Zhu, Eytan H. Modiano

CoRR, 2018

2017

Coresets for differentially private k-means clustering and applications to privacy in mobile sensor networks.

Dan Feldman, Chongyuan Xiang, Ruihao Zhu, Daniela Rus

Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

2016

Threshold Bandits, With and Without Censored Feedback.

Jacob D. Abernethy, Kareem Amin, Ruihao Zhu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Differentially private and strategy-proof spectrum auction with approximate revenue maximization.

Ruihao Zhu, Kang G. Shin

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

2014

Differentially private spectrum auction with approximate revenue maximization.

Ruihao Zhu, Zhijing Li, Fan Wu, Kang G. Shin, Guihai Chen

Proceedings of the Fifteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2014

2013

SAFE: A Strategy-Proof Auction Mechanism for Multi-radio, Multi-channel Spectrum Allocation.

Ruihao Zhu, Fan Wu, Guihai Chen

Proceedings of the Wireless Algorithms, Systems, and Applications, 2013

STAMP: A Strategy-proof Approximation auction Mechanism for Spatially reusable Items in wireless networks.

Ruihao Zhu, Fan Wu, Guihai Chen

Proceedings of the 2013 IEEE Global Communications Conference, 2013