Publications

Predicting non-recurrent congestion impact: A pattern-based approach for speed drop ratio prediction using weighted K-nearest neighbors

FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification

Continuum Dropout for Neural Differential Equations

Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations

TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification

DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis

TSSI: Time Series as Screenshot Images for multivariate time series classification using convolutional neural networks

TAOD-Net: Automated detection and analysis of thyroid-associated orbitopathy in facial imagery

Comprehensive Review of Neural Differential Equations for Time Series Analysis

Comparative evaluation of VAE-based monitoring statistics for real-time anomaly detection in AIS data

Stable Neural Stochastic Differential Equations for Irregular Time Series Classification

Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach

Domain-knowledge-informed functional outlier detection for line quality control systems

Grid-Based Bayesian Bootstrap Approach for Real-Time Detection of Abnormal Vessel Behaviors From AIS Data in Maritime Logistics

Spatially-correlated time series clustering using location-dependent Dirichlet process mixture model

Multichannel convolution neural network for gas mixture classification

Sensor drift compensation for gas mixture classification in batch experiments

Time Delay Estimation of Traffic Congestion Propagation Due to Accidents Based on Statistical Causality

Quantifying incident impacts and identifying influential features in urban traffic networks

Multi-channel Convolution Neural Network for Gas Mixture Classification

Maximum feasibility estimation

Transfer Learning based Approach for Mixture Gas Classification

Simulation-based Anomaly Detection in Nuclear Reactors

Multiresolution spatial generalized linear mixed model for integrating multi-fidelity spatial count data

Maritime Anomaly Detection Based on VAE–CUSUM Monitoring System

A practical approach to measuring the impacts of stockouts on demand

Revealing household characteristics using connected home products

Spatial Cluster Detection in Mobility Networks: A Copula Approach

Batch Sequential Minimum Energy Design with Design-Region Adaptation

An integrated holistic model of a complex process

Early detection of vessel delays using combined historical and real-time information

Incorporation of engineering knowledge into the modeling process: a local approach

A new metric of absolute percentage error for intermittent demand forecasts

Ordinal Classification of Imbalanced Data with Application in Emergency and Disaster Information Services

Adaptive combined space-filling and D-optimal designs

Layers of Experiments with Adaptive Combined Design

Optimization of a Carbon Dioxide-Assisted Nanoparticle Deposition Process Using Sequential Experimental Design with Adaptive Design Space

A Time Prediction Model of Cursor Movement with Path Constraints