Ruihao Zhu - RankMe

52 papers A* 8A 3B 2Journal 32Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evolutionary Contrastive Ensemble With Conditional Redundancy Fitness Evaluation for Goal-Conditioned Humanoid Locomotion. IEEE Trans Autom. Sci. Eng. Zhiyi Shi, Haoyu Pan, Ruihao Zhu, Changyu Li, Shuai Wu, Edmond Qi Wu
2026	J	`jnl`	Large-Scale Optimization Model Auto-Formulation: Harnessing LLM Flexibility via Structured Workflow. CoRR Kuo Liang, Yuhang Lu, Jianming Mao, Shuyi Sun, Chunwei Yang, Congcong Zeng, Xiao Jin, Hanzhang Qin, Ruihao Zhu, Chung-Piaw Teo
2026	J	`jnl`	Learning to Price Supply Chain Contracts Against a Learning Retailer. Manag. Sci. Xuejun Zhao, Ruihao Zhu, William B. Haskell
2026	J	`jnl`	On the Peril of (Even a Little) Nonstationarity in Satisficing Regret Minimization. CoRR Yixuan Zhang, Ruihao Zhu, Qiaomin Xie
2025	J	`jnl`	Contextual Online Pricing with (Biased) Offline Data. CoRR Yixuan Zhang, Ruihao Zhu, Qiaomin Xie
2025	J	`jnl`	Identifying All ε-Best Arms in (Misspecified) Linear Bandits. CoRR Zhekai Li, Tianyi Ma, Cheng Hua, Ruihao Zhu
2025	J	`jnl`	MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking. CoRR Shigang Quan, Hailong Tan, Shui Liu, Zhenzhe Zheng, Ruihao Zhu, Liangyue Li, Quan Lu, Fan Wu
2025	J	`jnl`	Model-Free Nonstationary Reinforcement Learning: Near-Optimal Regret and Applications in Multiagent Reinforcement Learning and Inventory Control. Manag. Sci. Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
2025	J	`jnl`	Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards. CoRR Wenlong Ji, Yihan Pan, Ruihao Zhu, Lihua Lei
2025	A*	`conf`	Optimizing the Battery-Swapping Problem in Urban E-Bike Systems with Reinforcement Learning. IJCAI Wenjing Li, Zhao Li, Xuanwu Liu, Ruihao Zhu, Zhenzhe Zheng, Fan Wu
2025	J	`jnl`	PokeeResearch: Effective Deep Research via Reinforcement Learning from AI Feedback and Robust Reasoning Scaffold. CoRR Yi Wan, Jiuqi Wang, Liam Li, Jinsong Liu, Ruihao Zhu, Zheqing Zhu
2025	A*	`conf`	Satisficing Regret Minimization in Bandits. ICLR Qing Feng, Tianyi Ma, Ruihao Zhu
2025	J	`jnl`	Temporal Fairness in Learning and Earning: Price Protection Guarantee and Phase Transitions. Oper. Res. Qing Feng, Ruihao Zhu, Stefanus Jasin
2025	J	`jnl`	Thompson Sampling for Repeated Newsvendor. CoRR Weizhou Zhang, Chen Li, Hanzhang Qin, Yunbei Xu, Ruihao Zhu
2025	J	`jnl`	Vibe Coding for UX Design: Understanding UX Professionals' Perceptions of AI-Assisted Design and Development. CoRR Jie Li, Youyang Hou, Laura Lin, Ruihao Zhu, Hancheng Cao, Abdallah El Ali
2024	J	`jnl`	Calibrating Sales Forecasts in a Pandemic Using Competitive Online Nonparametric Regression. Manag. Sci. David Simchi-Levi, Rui Sun, Michelle Xiao Wu, Ruihao Zhu
2024	—	`conf`	Conspiracy Theory Text Classification Based on CT-BERT and BETO Models. CLEF (Working Notes) Jiahong Huang, Zhongyuan Han, Ruihao Zhu, Mingcan Guo, Kaiyin Sun
2024	J	`jnl`	Reward Learning From Preference With Ties. CoRR Jinsong Liu, Dongdong Ge, Ruihao Zhu
2024	J	`jnl`	Satisficing Exploration in Bandit Optimization. CoRR Qing Feng, Tianyi Ma, Ruihao Zhu
2024	A*	`conf`	User Experience Design Professionals' Perceptions of Generative Artificial Intelligence. CHI Jie Li, Hancheng Cao, Laura Lin, Youyang Hou, Ruihao Zhu, Abdallah El Ali
2023	J	`jnl`	Efficient and Interpretable Bandit Algorithms. CoRR Subhojyoti Mukherjee, Ruihao Zhu, Branislav Kveton
2023	A*	`conf`	LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation. WWW Ruitao Zhu, Detao Lv, Yao Yu, Ruihao Zhu, Zhenzhe Zheng, Ke Bu, Quan Lu, Fan Wu
2023	A	`conf`	MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking. CIKM Shigang Quan, Hailong Tan, Shui Liu, Zhenzhe Zheng, Ruihao Zhu, Liangyue Li, Quan Lu, Fan Wu
2023	J	`jnl`	Nonstationary Reinforcement Learning: The Blessing of (More) Optimism. Manag. Sci. Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
2023	A*	`conf`	Temporal Fairness in Learning and Earning: Price Protection Guarantee and Phase Transitions. EC Qing Feng, Ruihao Zhu, Stefanus Jasin
2023	—	`conf`	Trigger Warning Labeling with RoBERTa and Resampling for Distressing Content Detection. CLEF (Working Notes) Haojie Cao, Zhongyuan Han, Guiyuan Cao, Ruihao Zhu, Yongqi Liang, Siman Liu, Minhua Huang, Haihao Yu
2023	J	`jnl`	User Experience Design Professionals' Perceptions of Generative Artificial Intelligence. CoRR Jie Li, Hancheng Cao, Laura Lin, Youyang Hou, Ruihao Zhu, Abdallah El Ali
2022	J	`jnl`	Hedging the Drift: Learning to Optimize Under Nonstationarity. Manag. Sci. Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
2022	J	`jnl`	Learning to Price Supply Chain Contracts against a Learning Retailer. CoRR Xuejun Zhao, Ruihao Zhu, William B. Haskell
2022	J	`jnl`	Meta Dynamic Pricing: Transfer Learning Across Experiments. Manag. Sci. Hamsa Bastani, David Simchi-Levi, Ruihao Zhu
2022	J	`jnl`	Phase Transitions in Learning and Earning under Price Protection Guarantee. CoRR Qing Feng, Ruihao Zhu, Stefanus Jasin
2022	—	`conf`	Risk-Aware Linear Bandits with Application in Smart Order Routing. ICAIF Jingwei Ji, Renyuan Xu, Ruihao Zhu
2022	J	`jnl`	Risk-Aware Linear Bandits: Theory and Applications in Smart Order Routing. CoRR Jingwei Ji, Renyuan Xu, Ruihao Zhu
2022	A	`conf`	Safe Optimal Design with Applications in Off-Policy Learning. AISTATS Ruihao Zhu, Branislav Kveton
2021	—	`conf`	A soft quadruped robot enabled by continuum actuators. CASE Seshagopalan Thorapalli Muralidharan, Ruihao Zhu, Qinglei Ji, Lei Feng, Xi Vincent Wang, Lihui Wang
2021	A*	`conf`	Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs. ICML Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
2021	J	`jnl`	Safe Optimal Design with Applications in Policy Learning. CoRR Ruihao Zhu, Branislav Kveton
2020	J	`jnl`	Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs. CoRR Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
2020	A*	`conf`	Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. ICML Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
2020	J	`jnl`	Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. CoRR Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
2019	J	`jnl`	Hedging the Drift: Learning to Optimize under Non-Stationarity. CoRR Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
2019	A	`conf`	Learning to Optimize under Non-Stationarity. AISTATS Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
2019	J	`jnl`	Meta Dynamic Pricing: Learning Across Experiments. CoRR Hamsa Bastani, David Simchi-Levi, Ruihao Zhu
2019	J	`jnl`	Reinforcement Learning under Drift. CoRR Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
2018	J	`jnl`	Learning to Optimize under Non-Stationarity. CoRR Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
2018	J	`jnl`	Learning to Route Efficiently with End-to-End Feedback: The Value of Networked Structure. CoRR Ruihao Zhu, Eytan H. Modiano
2017	—	`conf`	Coresets for differentially private k-means clustering and applications to privacy in mobile sensor networks. IPSN Dan Feldman, Chongyuan Xiang, Ruihao Zhu, Daniela Rus
2016	—	`conf`	Threshold Bandits, With and Without Censored Feedback. NIPS Jacob D. Abernethy, Kareem Amin, Ruihao Zhu
2015	A*	`conf`	Differentially private and strategy-proof spectrum auction with approximate revenue maximization. INFOCOM Ruihao Zhu, Kang G. Shin
2014	B	`conf`	Differentially private spectrum auction with approximate revenue maximization. MobiHoc Ruihao Zhu, Zhijing Li, Fan Wu, Kang G. Shin, Guihai Chen
2013	—	`conf`	SAFE: A Strategy-Proof Auction Mechanism for Multi-radio, Multi-channel Spectrum Allocation. WASA Ruihao Zhu, Fan Wu, Guihai Chen
2013	B	`conf`	STAMP: A Strategy-proof Approximation auction Mechanism for Spatially reusable Items in wireless networks. GLOBECOM Ruihao Zhu, Fan Wu, Guihai Chen