111 citations · 801 across the 59 of their papers we have counts for
15 papers · 1 filter
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…
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data
Hechuan Wen, Tong Chen, Li Kheng Chai +3
Due to the imbalanced nature of networked observational data, the causal effect predictions for some individuals can severely violate the positivity/overlap assumption, rendering u…
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation
Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen +1
As some recent information security legislation endowed users with unconditional rights to be forgotten by any trained machine learning model, personalized IoT service providers ha…
Graph Condensation for Inductive Node Representation Learning
Xinyi Gao, Tong Chen, Yilong Zang +4
Graph neural networks (GNNs) encounter significant computational challenges when handling large-scale graphs, which severely restricts their efficacy across diverse applications. T…
Variational Counterfactual Prediction under Runtime Domain Corruption
Hechuan Wen, Tong Chen, Li Kheng Chai +3
To date, various neural methods have been proposed for causal effect estimation based on observational data, where a default assumption is the same distribution and availability of…
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT
Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen +1
Monitoring and detecting abnormal events in cyber-physical systems is crucial to industrial production. With the prevalent deployment of the Industrial Internet of Things (IIoT), a…
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
Xinyi Gao, Wentao Zhang, Tong Chen +3
Heterogeneous graph neural networks (HGNNs) have exhibited exceptional efficacy in modeling the complex heterogeneity in heterogeneous information networks (HINs). The critical adv…
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)…
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
Yu Yang, Hongzhi Yin, Jiannong Cao +4
Dynamic graphs refer to graphs whose structure dynamically changes over time. Despite the benefits of learning vertex representations (i.e., embeddings) for dynamic graphs, existin…
Spatial-Temporal Meta-path Guided Explainable Crime Prediction
Yuting Sun, Tong Chen, Hongzhi Yin
Exposure to crime and violence can harm individuals' quality of life and the economic growth of communities. In light of the rapid development in machine learning, there is a rise…
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…
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent
Guanhua Ye, Hongzhi Yin, Tong Chen +3
Actuated by the growing attention to personal healthcare and the pandemic, the popularity of E-health is proliferating. Nowadays, enhancement on medical diagnosis via machine learn…
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…
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…
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…