5 papers
Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation
Zhenyu Zhao, Hongyi Jing, Xiawei Liu +7
From loco-motion to dextrous manipulation, humanoid robots have made remarkable strides in demonstrating complex full-body capabilities. However, the majority of current robot lear…
Dynamic Prior Thompson Sampling for Cold-Start Exploration in Recommender Systems
Zhenyu Zhao, David Zhang, Ellie Zhao +1
Cold-start exploration is a core challenge in large-scale recommender systems: new or data-sparse items must receive traffic to estimate value, but over-exploration harms users and…
CoPHo: Classifier-guided Conditional Topology Generation with Persistent Homology
Gongli Xi, Ye Tian, Mengyu Yang +5
The structure of topology underpins much of the research on performance and robustness, yet available topology data are typically scarce, necessitating the generation of synthetic…
Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System
Zhenyu Zhao, Yexi Jiang
Effective feature selection is essential for optimizing contextual multi-armed bandits (CMABs) in large-scale online systems, where suboptimal features can degrade rewards, interpr…
Algorithm Adaptation Bias in Recommendation System Online Experiments
Chen Zheng, Zhenyu Zhao
Online experiments (A/B tests) are widely regarded as the gold standard for evaluating recommender system variants and guiding launch decisions. However, a variety of biases can di…