Hao Huang - RankMe

31 papers A* 8A 5B 4Misc 4Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	Deep Root Cause Analysis: Unveiling Anomalies and Enhancing Fault Detection in Industrial Time Series. IJCNN Hao Huang, Tapan Shah, John Karigiannis, Scott Evans
2024	A*	`conf`	Energy Efficient Streaming Time Series Classification with Attentive Power Iteration. AAAI Hao Huang, Tapan Shah, Scott Evans, Shinjae Yoo
2024	—	`conf`	Sustainable and Explainable Neural Network for Real-Time Time Series Classification. ICPR (5) Hao Huang, Tapan Shah, Shinjae Yoo, Scott Evans
2023	—	`conf`	Dynamic Variable Dependency Encoding and Its Application on Change Point Detection. PAKDD (4) Hao Huang, Shinjae Yoo
2022	B	`conf`	Deep Time Series Sketching and Its Application on Industrial Time Series Clustering. IEEE Big Data Hao Huang, Tapan Shah, Shinjae Yoo
2021	B	`conf`	A Deep Neural Network for Multivariate Time Series Clustering with Result Interpretation. IJCNN Chenxiao Xu, Hao Huang, Shinjae Yoo
2021	A*	`conf`	Deep Clustering based on Bi-Space Association Learning. ACM Multimedia Hao Huang, Shinjae Yoo, Chenxiao Xu
2021	Misc	`conf`	Flight data anomaly detection and diagnosis with variable association change. SAC Sijie He, Hao Huang, Shinjae Yoo, Weizhong Yan, Feng Xue, Tianyi Wang, Chenxiao Xu
2021	Misc	`conf`	Interpretable temporal GANs for industrial imbalanced multivariate time series simulation and classification. SAC Hao Huang, Chenxiao Xu, Shinjae Yoo
2021	B	`conf`	Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method. IJCNN Hao Huang, Feng Xue, Weizhong Yan, Tianyi Wang, Shinjae Yoo, Chenxiao Xu
2020	A	`conf`	Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning. CIKM Hao Huang, Chenxiao Xu, Shinjae Yoo, Weizhong Yan, Tianyi Wang, Feng Xue
2019	A*	`conf`	Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural Network. ICDM Hao Huang, Chenxiao Xu, Shinjae Yoo
2019	—	`conf`	Failure Analysis on Multivariate Time-series Data given Uncertain Labels. MLDM (2) Hao Huang, Shinjae Yoo, Yunwen Xu
2019	J	`jnl`	Redundant features removal for unsupervised spectral feature selection algorithms: an empirical study based on nonparametric sparse feature graph. Int. J. Data Sci. Anal. Pengfei Xu, Shuchu Han, Hao Huang, Hong Qin
2019	A	`conf`	Scalable Causal Graph Learning through a Deep Neural Network. CIKM Chenxiao Xu, Hao Huang, Shinjae Yoo
2019	A	`conf`	System Deterioration Detection and Root Cause Learning on Time Series Graphs. CIKM Hao Huang, Shinjae Yoo, Yunwen Xu
2017	J	`jnl`	Automatically Redundant Features Removal for Unsupervised Feature Selection via Sparse Feature Graph. CoRR Shuchu Han, Hao Huang, Hong Qin
2016	J	`jnl`	Diverse Power Iteration Embeddings: Theory and Practice. IEEE Trans. Knowl. Data Eng. Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin
2016	A*	`conf`	Streaming spectral clustering. ICDE Shinjae Yoo, Hao Huang, Shiva Prasad Kasiviswanathan
2015	—	`conf`	A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field. PAKDD (1) Jin Xu, Shinjae Yoo, Dantong Yu, Hao Huang, Dong Huang, John Heiser, Paul Kalb
2015	J	`jnl`	Density-Aware Clustering Based on Aggregated Heat Kernel and Its Transformation. ACM Trans. Knowl. Discov. Data Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin
2015	Misc	`conf`	Locality-preserving L1-graph and its application in clustering. SAC Shuchu Han, Hao Huang, Hong Qin, Dantong Yu
2015	A	`conf`	Unsupervised Feature Selection on Data Streams. CIKM Hao Huang, Shinjae Yoo, Shiva Prasad Kasiviswanathan
2014	Misc	`conf`	Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles. SAC Hao Huang, Shinjae Yoo, Konstantine Kaznatcheev, Kevin G. Yager, Fang Lu, Dantong Yu, Oleg Gang, Andrei Fluerasu, Hong Qin
2014	A*	`conf`	Diverse Power Iteration Embeddings and Its Applications. ICDM Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin
2014	A*	`conf`	Noise-Resistant Unsupervised Feature Selection via Multi-perspective Correlations. ICDM Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin
2014	J	`jnl`	Physics-Based Anomaly Detection Defined on Manifold Space. ACM Trans. Knowl. Discov. Data Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu
2013	—	`conf`	Cloud motion estimation for short term solar irradiation prediction. SmartGridComm Hao Huang, Jin Xu, Zhenzhou Peng, Shinjae Yoo, Dantong Yu, Dong Huang, Hong Qin
2012	A*	`conf`	A New Anomaly Detection Algorithm Based on Quantum Mechanics. ICDM Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu
2012	A	`conf`	Local anomaly descriptor: a robust unsupervised algorithm for anomaly detection based on diffusion space. CIKM Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu
2011	A*	`conf`	A Robust Clustering Algorithm Based on Aggregated Heat Kernel Mapping. ICDM Hao Huang, Shinjae Yoo, Hong Qin, Dantong Yu