5 citations · 9 across the 12 of their papers we have counts for
4 papers · 1 filter
LLM-Assisted Logic Rule Learning: Scaling Human Expertise for Time Series Anomaly Detection
Haoting Zhang, Shekhar Jain
Time series anomaly detection is critical for supply chain management to take proactive operations, but faces challenges: classical unsupervised anomaly detection based on exploiti…
Collaborative Bayesian Optimization via Wasserstein Barycenters
Donglin Zhan, Haoting Zhang, Rhonda Righter +2
Motivated by the growing need for black-box optimization and data privacy, we introduce a collaborative Bayesian optimization (BO) framework that addresses both of these challenges…
Daily Physical Activity Monitoring -- Adaptive Learning from Multi-source Motion Sensor Data
Haoting Zhang, Donglin Zhan, Yunduan Lin +4
In healthcare applications, there is a growing need to develop machine learning models that use data from a single source, such as that from a wrist wearable device, to monitor phy…
Adaptive Transfer Learning of Multi-View Time Series Classification
Donglin Zhan, Shiyu Yi, Dongli Xu +6
Time Series Classification (TSC) has been an important and challenging task in data mining, especially on multivariate time series and multi-view time series data sets. Meanwhile,…