Ruihao Zhu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 32

Top Topics

Markov Decision Process

Reinforcement Learning

Dynamic Pricing

Vickrey Clarke Groves

Top Venues

CLEF (Working Notes)

Publications

Jiahong Huang, Zhongyuan Han, Ruihao Zhu, Mingcan Guo, Kaiyin Sun
Conspiracy Theory Text Classification Based on CT-BERT and BETO Models. CLEF (Working Notes) (2024)
Qing Feng, Tianyi Ma, Ruihao Zhu
Satisficing Exploration in Bandit Optimization. CoRR (2024)
Jie Li, Hancheng Cao, Laura Lin, Youyang Hou, Ruihao Zhu, Abdallah El Ali
User Experience Design Professionals' Perceptions of Generative Artificial Intelligence. CHI (2024)
Jie Li, Hancheng Cao, Laura Lin, Youyang Hou, Ruihao Zhu, Abdallah El Ali
User Experience Design Professionals' Perceptions of Generative Artificial Intelligence. CoRR (2023)
Subhojyoti Mukherjee, Ruihao Zhu, Branislav Kveton
Efficient and Interpretable Bandit Algorithms. CoRR (2023)
Qing Feng, Ruihao Zhu, Stefanus Jasin
Temporal Fairness in Learning and Earning: Price Protection Guarantee and Phase Transitions. EC (2023)
Haojie Cao, Zhongyuan Han, Guiyuan Cao, Ruihao Zhu, Yongqi Liang, Siman Liu, Minhua Huang, Haihao Yu
Trigger Warning Labeling with RoBERTa and Resampling for Distressing Content Detection. CLEF (Working Notes) (2023)
Shigang Quan, Hailong Tan, Shui Liu, Zhenzhe Zheng, Ruihao Zhu, Liangyue Li, Quan Lu, Fan Wu
MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking. CIKM (2023)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Nonstationary Reinforcement Learning: The Blessing of (More) Optimism. Manag. Sci. 69 (10) (2023)
Ruitao Zhu, Detao Lv, Yao Yu, Ruihao Zhu, Zhenzhe Zheng, Ke Bu, Quan Lu, Fan Wu
LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation. WWW (2023)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Hedging the Drift: Learning to Optimize Under Nonstationarity. Manag. Sci. 68 (3) (2022)
Jingwei Ji, Renyuan Xu, Ruihao Zhu
Risk-Aware Linear Bandits: Theory and Applications in Smart Order Routing. CoRR (2022)
Ruihao Zhu, Branislav Kveton
Safe Optimal Design with Applications in Off-Policy Learning. AISTATS (2022)
Hamsa Bastani, David Simchi-Levi, Ruihao Zhu
Meta Dynamic Pricing: Transfer Learning Across Experiments. Manag. Sci. 68 (3) (2022)
Xuejun Zhao, Ruihao Zhu, William B. Haskell
Learning to Price Supply Chain Contracts against a Learning Retailer. CoRR (2022)
Qing Feng, Ruihao Zhu, Stefanus Jasin
Phase Transitions in Learning and Earning under Price Protection Guarantee. CoRR (2022)
Jingwei Ji, Renyuan Xu, Ruihao Zhu
Risk-Aware Linear Bandits with Application in Smart Order Routing. ICAIF (2022)
Seshagopalan Thorapalli Muralidharan, Ruihao Zhu, Qinglei Ji, Lei Feng, Xi Vincent Wang, Lihui Wang
A soft quadruped robot enabled by continuum actuators. CASE (2021)
Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs. ICML (2021)
Ruihao Zhu, Branislav Kveton
Safe Optimal Design with Applications in Policy Learning. CoRR (2021)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. ICML (2020)
Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs. CoRR (2020)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. CoRR (2020)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Reinforcement Learning under Drift. CoRR (2019)
Hamsa Bastani, David Simchi-Levi, Ruihao Zhu
Meta Dynamic Pricing: Learning Across Experiments. CoRR (2019)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Learning to Optimize under Non-Stationarity. AISTATS (2019)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Hedging the Drift: Learning to Optimize under Non-Stationarity. CoRR (2019)
Ruihao Zhu, Eytan H. Modiano
Learning to Route Efficiently with End-to-End Feedback: The Value of Networked Structure. CoRR (2018)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Learning to Optimize under Non-Stationarity. CoRR (2018)
Dan Feldman, Chongyuan Xiang, Ruihao Zhu, Daniela Rus
Coresets for differentially private k-means clustering and applications to privacy in mobile sensor networks. IPSN (2017)
Jacob D. Abernethy, Kareem Amin, Ruihao Zhu
Threshold Bandits, With and Without Censored Feedback. NIPS (2016)
Ruihao Zhu, Kang G. Shin
Differentially private and strategy-proof spectrum auction with approximate revenue maximization. INFOCOM (2015)
Ruihao Zhu, Zhijing Li, Fan Wu, Kang G. Shin, Guihai Chen
Differentially private spectrum auction with approximate revenue maximization. MobiHoc (2014)
Ruihao Zhu, Fan Wu, Guihai Chen
SAFE: A Strategy-Proof Auction Mechanism for Multi-radio, Multi-channel Spectrum Allocation. WASA (2013)
Ruihao Zhu, Fan Wu, Guihai Chen
STAMP: A Strategy-proof Approximation auction Mechanism for Spatially reusable Items in wireless networks. GLOBECOM (2013)