A Robust Clustering Algorithm Based on Aggregated Heat Kernel Mapping. - Hao Huang 007; Shinjae Yoo; Hong Qin 001; Dantong Yu (ICDM, 2011)

Local anomaly descriptor: a robust unsupervised algorithm for anomaly detection based on diffusion space. - Hao Huang 007; Hong Qin 001; Shinjae Yoo; Dantong Yu (CIKM, 2012)

A New Anomaly Detection Algorithm Based on Quantum Mechanics. - Hao Huang 007; Hong Qin 001; Shinjae Yoo; Dantong Yu (ICDM, 2012)

Cloud motion estimation for short term solar irradiation prediction. - Hao Huang 007; Jin Xu; Zhenzhou Peng; Shinjae Yoo; Dantong Yu; Dong Huang; Hong Qin 001 (SmartGridComm, 2013)

Diverse Power Iteration Embeddings and Its Applications. - Hao Huang 007; Shinjae Yoo; Dantong Yu; Hong Qin 001 (ICDM, 2014)

Noise-Resistant Unsupervised Feature Selection via Multi-perspective Correlations. - Hao Huang 007; Shinjae Yoo; Dantong Yu; Hong Qin 001 (ICDM, 2014)

Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles. - Hao Huang 007; Shinjae Yoo; Konstantine Kaznatcheev; Kevin G. Yager; Fang Lu; Dantong Yu; Oleg Gang; Andrei Fluerasu; Hong Qin 001 (SAC, 2014)

Physics-Based Anomaly Detection Defined on Manifold Space. - Hao Huang 007; Hong Qin 001; Shinjae Yoo; Dantong Yu (ACM Trans. Knowl. Discov. Data, 2014)

Unsupervised Feature Selection on Data Streams. - Hao Huang 007; Shinjae Yoo; Shiva Prasad Kasiviswanathan (CIKM, 2015)

A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field. - Jin Xu; Shinjae Yoo; Dantong Yu; Hao Huang 007; Dong Huang; John Heiser; Paul Kalb (PAKDD (1), 2015)

Locality-preserving L1-graph and its application in clustering. - Shuchu Han; Hao Huang 007; Hong Qin 001; Dantong Yu (SAC, 2015)

Density-Aware Clustering Based on Aggregated Heat Kernel and Its Transformation. - Hao Huang 007; Shinjae Yoo; Dantong Yu; Hong Qin 001 (ACM Trans. Knowl. Discov. Data, 2015)

Streaming spectral clustering. - Shinjae Yoo; Hao Huang 007; Shiva Prasad Kasiviswanathan (ICDE, 2016)

Diverse Power Iteration Embeddings: Theory and Practice. - Hao Huang 007; Shinjae Yoo; Dantong Yu; Hong Qin 001 (IEEE Trans. Knowl. Data Eng., 2016)

Automatically Redundant Features Removal for Unsupervised Feature Selection via Sparse Feature Graph. - Shuchu Han; Hao Huang 007; Hong Qin 001 (CoRR, 2017)

System Deterioration Detection and Root Cause Learning on Time Series Graphs. - Hao Huang 007; Shinjae Yoo; Yunwen Xu (CIKM, 2019)

Scalable Causal Graph Learning through a Deep Neural Network. - Chenxiao Xu; Hao Huang 007; Shinjae Yoo (CIKM, 2019)

Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural Network. - Hao Huang 007; Chenxiao Xu; Shinjae Yoo (ICDM, 2019)

Failure Analysis on Multivariate Time-series Data given Uncertain Labels. - Hao Huang 007; Shinjae Yoo; Yunwen Xu (MLDM (2), 2019)

Redundant features removal for unsupervised spectral feature selection algorithms: an empirical study based on nonparametric sparse feature graph. - Pengfei Xu 005; Shuchu Han; Hao Huang 007; Hong Qin 001 (Int. J. Data Sci. Anal., 2019)

Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning. - Hao Huang 007; Chenxiao Xu; Shinjae Yoo; Weizhong Yan; Tianyi Wang; Feng Xue 003 (CIKM, 2020)

Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method. - Hao Huang 007; Feng Xue 003; Weizhong Yan; Tianyi Wang; Shinjae Yoo; Chenxiao Xu (IJCNN, 2021)

A Deep Neural Network for Multivariate Time Series Clustering with Result Interpretation. - Chenxiao Xu; Hao Huang 007; Shinjae Yoo (IJCNN, 2021)

Deep Clustering based on Bi-Space Association Learning. - Hao Huang 007; Shinjae Yoo; Chenxiao Xu (ACM Multimedia, 2021)

Flight data anomaly detection and diagnosis with variable association change. - Sijie He; Hao Huang 007; Shinjae Yoo; Weizhong Yan; Feng Xue 003; Tianyi Wang; Chenxiao Xu (SAC, 2021)

Interpretable temporal GANs for industrial imbalanced multivariate time series simulation and classification. - Hao Huang 007; Chenxiao Xu; Shinjae Yoo (SAC, 2021)

Deep Time Series Sketching and Its Application on Industrial Time Series Clustering. - Hao Huang 007; Tapan Shah 004; Shinjae Yoo (IEEE Big Data, 2022)

Dynamic Variable Dependency Encoding and Its Application on Change Point Detection. - Hao Huang 007; Shinjae Yoo (PAKDD (4), 2023)

Energy Efficient Streaming Time Series Classification with Attentive Power Iteration. - Hao Huang 007; Tapan Shah 004; Scott Evans; Shinjae Yoo (AAAI, 2024)

Sustainable and Explainable Neural Network for Real-Time Time Series Classification. - Hao Huang 007; Tapan Shah 004; Shinjae Yoo; Scott Evans (ICPR (5), 2024)

Deep Root Cause Analysis: Unveiling Anomalies and Enhancing Fault Detection in Industrial Time Series. - Hao Huang 007; Tapan Shah 004; John Karigiannis; Scott Evans (IJCNN, 2024)