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20192024
most citedLightweight Self-Attentive Sequential Recommendation

111 citations · 225 across the 18 of their papers we have counts for

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Showing cs.LGShow all

6 papers · 1 filter

cs.LG2023

Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution

Yuting Sun, Guansong Pang, Guanhua Ye +3

The ongoing challenges in time series anomaly detection (TSAD), notably the scarcity of anomaly labels and the variability in anomaly lengths and shapes, have led to the need for a…

cs.LG20223 cited

Self-supervised Graph-based Point-of-interest Recommendation

Yang Li, Tong Chen, Peng-Fei Zhang +2

The exponential growth of Location-based Social Networks (LBSNs) has greatly stimulated the demand for precise location-based recommendation services. Next Point-of-Interest (POI)…

cs.LG20221 cited

DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks

Mubashir Imran, Hongzhi Yin, Tong Chen +2

Modeling heterogeneity by extraction and exploitation of high-order information from heterogeneous information networks (HINs) has been attracting immense research attention in rec…

cs.LG2021

Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs

Yuandong Wang, Hongzhi Yin, Lian Wu +2

In recent years, online ride-hailing platforms have become an indispensable part of urban transportation. After a passenger is matched up with a driver by the platform, both the pa…

cs.LG2021

Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph

Yuandong Wang, Hongzhi Yin, Tong Chen +4

In recent years, ride-hailing services have been increasingly prevalent as they provide huge convenience for passengers. As a fundamental problem, the timely prediction of passenge…

cs.LG20191 cited

Sequence-Aware Factorization Machines for Temporal Predictive Analytics

Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen +3

In various web applications like targeted advertising and recommender systems, the available categorical features (e.g., product type) are often of great importance but sparse. As…