activity
20222026
most citedContinuous-Time User Preference Modelling for Temporal Sets Prediction

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Mag-Mamba: Modeling Coupled spatiotemporal Asymmetry for POI Recommendation

Zhuoxuan Li, Tangwei Ye, Jieyuan Pei +6

Next Point-of-Interest (POI) recommendation is a critical task in location-based services, yet it faces the fundamental challenge of coupled spatiotemporal asymmetry inherent in ur…

cs.SD2026

The Sonar Moment: Benchmarking Audio-Language Models in Audio Geo-Localization

Ruixing Zhang, Zihan Liu, Leilei Sun +2

Geo-localization aims to infer the geographic origin of a given signal. In computer vision, geo-localization has served as a demanding benchmark for compositional reasoning and is…

cs.AI2025

GTR-Mamba: Geometry-to-Tangent Routing Mamba for Hyperbolic POI Recommendation

Zhuoxuan Li, Jieyuan Pei, Tangwei Ye +5

Next Point-of-Interest (POI) recommendation is a critical task in modern Location-Based Social Networks (LBSNs), aiming to model the complex decision-making process of human mobili…

cs.IR2024★ 1 cited

Multi-Behavior Generative Recommendation

Zihan Liu, Yupeng Hou, Julian McAuley

Multi-behavior sequential recommendation (MBSR) aims to incorporate behavior types of interactions for better recommendations. Existing approaches focus on the next-item prediction…

cs.LG2023

A Simple Framework for Multi-mode Spatial-Temporal Data Modeling

Zihang Liu, Le Yu, Tongyu Zhu +1

Spatial-temporal data modeling aims to mine the underlying spatial relationships and temporal dependencies of objects in a system. However, most existing methods focus on the model…

cs.LG2022★ 2 cited

Continuous-Time User Preference Modelling for Temporal Sets Prediction

Le Yu, Zihang Liu, Leilei Sun +3

Given a sequence of sets, where each set has a timestamp and contains an arbitrary number of elements, temporal sets prediction aims to predict the elements in the subsequent set.…