activity
20212025
most citedST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation

43 citations · 50 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2025

Octopus-like Reaching Motion: A Perspective Inspired by Whipping

Shengyao Zhang, Yiyuan Zhang, Chenrui Zhang +5

The stereotypical reaching motion of the octopus arm has drawn growing attention for its efficient control of a highly deformable body. Previous studies suggest that its characteri…

cs.RO2025

Taming VR Teleoperation and Learning from Demonstration for Multi-Task Bimanual Table Service Manipulation

Weize Li, Zhengxiao Han, Lixin Xu +4

This technical report presents the champion solution of the Table Service Track in the ICRA 2025 What Bimanuals Can Do (WBCD) competition. We tackled a series of demanding tasks un…

cs.IR2024

EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation

Lei Huang, Weitao Li, Chenrui Zhang +3

Cross-domain recommendation has attracted substantial interest in industrial apps such as Meituan, which serves multiple business domains via knowledge transfer and meets the diver…

cs.CL2023★ 6 cited

PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine

Chenrui Zhang, Lin Liu, Jinpeng Wang +4

As an effective tool for eliciting the power of Large Language Models (LLMs), prompting has recently demonstrated unprecedented abilities across a variety of complex tasks. To furt…

cs.LG2023★ 1 cited

Enhancing Personalized Ranking With Differentiable Group AUC Optimization

Xiao Sun, Bo Zhang, Chenrui Zhang +2

AUC is a common metric for evaluating the performance of a classifier. However, most classifiers are trained with cross entropy, and it does not optimize the AUC metric directly, w…

cs.IR2021★ 43 cited

ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation

Qiang Cui, Chenrui Zhang, Yafeng Zhang +2

Point-of-Interest (POI) recommendation is an important task in location-based social networks. It facilitates the relation modeling between users and locations. Recently, researche…