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2020 – today
- 2024
[j4]David Simchi-Levi
, Rui Sun, Michelle Xiao Wu, Ruihao Zhu:
Calibrating Sales Forecasts in a Pandemic Using Competitive Online Nonparametric Regression. Manag. Sci. 70(10): 6502-6518 (2024)- [c18]Jie Li, Hancheng Cao, Laura Lin, Youyang Hou, Ruihao Zhu, Abdallah El Ali:
User Experience Design Professionals' Perceptions of Generative Artificial Intelligence. CHI 2024: 381:1-381:18 - [c17]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: 2627-2631 - [i15]Qing Feng, Tianyi Ma, Ruihao Zhu:
Satisficing Exploration in Bandit Optimization. CoRR abs/2406.06802 (2024) - [i14]Jinsong Liu, Dongdong Ge, Ruihao Zhu:
Reward Learning From Preference With Ties. CoRR abs/2410.05328 (2024) - 2023
- [j3]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Nonstationary Reinforcement Learning: The Blessing of (More) Optimism. Manag. Sci. 69(10): 5722-5739 (2023) - [c16]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: 2085-2094 - [c15]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: 2557-2561 - [c14]Qing Feng, Ruihao Zhu, Stefanus Jasin:
Temporal Fairness in Learning and Earning: Price Protection Guarantee and Phase Transitions. EC 2023: 656 - [c13]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: 779-789 - [i13]Jie Li, Hancheng Cao, Laura Lin, Youyang Hou, Ruihao Zhu, Abdallah El Ali:
User Experience Design Professionals' Perceptions of Generative Artificial Intelligence. CoRR abs/2309.15237 (2023) - [i12]Subhojyoti Mukherjee, Ruihao Zhu, Branislav Kveton:
Efficient and Interpretable Bandit Algorithms. CoRR abs/2310.14751 (2023) - 2022
- [j2]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Hedging the Drift: Learning to Optimize Under Nonstationarity. Manag. Sci. 68(3): 1696-1713 (2022) - [j1]Hamsa Bastani, David Simchi-Levi, Ruihao Zhu:
Meta Dynamic Pricing: Transfer Learning Across Experiments. Manag. Sci. 68(3): 1865-1881 (2022) - [c12]Ruihao Zhu, Branislav Kveton:
Safe Optimal Design with Applications in Off-Policy Learning. AISTATS 2022: 2436-2447 - [c11]Jingwei Ji, Renyuan Xu, Ruihao Zhu:
Risk-Aware Linear Bandits with Application in Smart Order Routing. ICAIF 2022: 334-342 - [i11]Jingwei Ji, Renyuan Xu, Ruihao Zhu:
Risk-Aware Linear Bandits: Theory and Applications in Smart Order Routing. CoRR abs/2208.02389 (2022) - [i10]Qing Feng, Ruihao Zhu, Stefanus Jasin:
Phase Transitions in Learning and Earning under Price Protection Guarantee. CoRR abs/2211.01798 (2022) - [i9]Xuejun Zhao, Ruihao Zhu, William B. Haskell:
Learning to Price Supply Chain Contracts against a Learning Retailer. CoRR abs/2211.04586 (2022) - 2021
- [c10]Seshagopalan Thorapalli Muralidharan, Ruihao Zhu, Qinglei Ji, Lei Feng, Xi Vincent Wang, Lihui Wang:
A soft quadruped robot enabled by continuum actuators. CASE 2021: 834-840 - [c9]Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar:
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs. ICML 2021: 7447-7458 - [i8]Ruihao Zhu, Branislav Kveton:
Safe Optimal Design with Applications in Policy Learning. CoRR abs/2111.04835 (2021) - 2020
- [c8]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. ICML 2020: 1843-1854 - [i7]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. CoRR abs/2006.14389 (2020) - [i6]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 abs/2010.03161 (2020)
2010 – 2019
- 2019
- [c7]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Learning to Optimize under Non-Stationarity. AISTATS 2019: 1079-1087 - [i5]Hamsa Bastani, David Simchi-Levi, Ruihao Zhu:
Meta Dynamic Pricing: Learning Across Experiments. CoRR abs/1902.10918 (2019) - [i4]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Hedging the Drift: Learning to Optimize under Non-Stationarity. CoRR abs/1903.01461 (2019) - [i3]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Reinforcement Learning under Drift. CoRR abs/1906.02922 (2019) - 2018
- [i2]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Learning to Optimize under Non-Stationarity. CoRR abs/1810.03024 (2018) - [i1]Ruihao Zhu, Eytan H. Modiano:
Learning to Route Efficiently with End-to-End Feedback: The Value of Networked Structure. CoRR abs/1810.10637 (2018) - 2017
- [c6]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: 3-15 - 2016
- [c5]Jacob D. Abernethy, Kareem Amin, Ruihao Zhu:
Threshold Bandits, With and Without Censored Feedback. NIPS 2016: 4889-4897 - 2015
- [c4]Ruihao Zhu, Kang G. Shin:
Differentially private and strategy-proof spectrum auction with approximate revenue maximization. INFOCOM 2015: 918-926 - 2014
- [c3]Ruihao Zhu, Zhijing Li, Fan Wu, Kang G. Shin, Guihai Chen:
Differentially private spectrum auction with approximate revenue maximization. MobiHoc 2014: 185-194 - 2013
- [c2]Ruihao Zhu, Fan Wu, Guihai Chen:
STAMP: A Strategy-proof Approximation auction Mechanism for Spatially reusable Items in wireless networks. GLOBECOM 2013: 3048-3053 - [c1]Ruihao Zhu, Fan Wu, Guihai Chen:
SAFE: A Strategy-Proof Auction Mechanism for Multi-radio, Multi-channel Spectrum Allocation. WASA 2013: 121-134
Coauthor Index
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