36 citations · 188 across the 36 of their papers we have counts for
10 papers · 1 filter
Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series
Li Zhang, Nital Patel, Xiuqi Li +1
Time series chain (TSC) is a recently introduced concept that captures the evolving patterns in large scale time series. Informally, a time series chain is a temporally ordered set…
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
Jiaxiang Dong, Haixu Wu, Haoran Zhang +3
Time series analysis is widely used in extensive areas. Recently, to reduce labeling expenses and benefit various tasks, self-supervised pre-training has attracted immense interest…
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series
Li Zhang, Jiahao Ding, Yifeng Gao +1
Recent rapid development of sensor technology has allowed massive fine-grained time series (TS) data to be collected and set the foundation for the development of data-driven servi…
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification
Wenjie Xi, Arnav Jain, Li Zhang +1
Time series classification is an important data mining task that has received a lot of interest in the past two decades. Due to the label scarcity in practice, semi-supervised time…
Robust Time Series Chain Discovery with Incremental Nearest Neighbors
Li Zhang, Yan Zhu, Yifeng Gao +1
Time series motif discovery has been a fundamental task to identify meaningful repeated patterns in time series. Recently, time series chains were introduced as an expansion of tim…
Failure Prediction in Production Line Based on Federated Learning: An Empirical Study
Ning Ge, Guanghao Li, Li Zhang +1
Data protection across organizations is limiting the application of centralized learning (CL) techniques. Federated learning (FL) enables multiple participants to build a learning…
Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior
Yan Zhang, Zhao Zhang, Yang Wang +4
Nonnegative matrix factorization is usually powerful for learning the "shallow" parts-based representation, but it clearly fails to discover deep hierarchical information within bo…
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval
Tao Wu, Ellie Ka-In Chio, Heng-Tze Cheng +15
Many recent advances in neural information retrieval models, which predict top-K items given a query, learn directly from a large training set of (query, item) pairs. However, they…
Semantic Discord: Finding Unusual Local Patterns for Time Series
Li Zhang, Yifeng Gao, Jessica Lin
Finding anomalous subsequence in a long time series is a very important but difficult problem. Existing state-of-the-art methods have been focusing on searching for the subsequence…
Deep Self-representative Concept Factorization Network for Representation Learning
Yan Zhang, Zhao Zhang, Zheng Zhang +4
In this paper, we investigate the unsupervised deep representation learning issue and technically propose a novel framework called Deep Self-representative Concept Factorization Ne…