Liang Sun - Citegraph

Author Info

Name	Affiliation	Papers
LIANG SUN	Arizona State University, Tempe, AZ, USA	29
Collaborators	Citations	PageRank
63	500	24.61
Referers	Referees	References
1263	514	244

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Publications (29 rows)

Collaborators (63 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Robust Time Series Analysis and Applications: An Industrial Perspective	0	0.34	2022
A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data.	0	0.34	2022
Netrca: An Effective Network Fault Cause Localization Algorithm.	0	0.34	2022
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection	0	0.34	2022
Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting	1	0.40	2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting.	0	0.34	2022
A ROBUST AND EFFICIENT MULTI-SCALE SEASONAL-TREND DECOMPOSITION	0	0.34	2021
Time Series Data Augmentation for Deep Learning - A Survey.	2	0.39	2021
RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection	4	0.54	2021
The Operational Inflight Radiometric Uniform Calibration of a Directional Polarimetric Camera	0	0.34	2021
TWO-STAGE FRAMEWORK FOR SEASONAL TIME SERIES FORECASTING	1	0.36	2021
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms	1	0.40	2021
Fast R-STL: Efficient and Robust Seasonal-Trend Decompositionfor Time Series with Complex Patterns	5	0.58	2020
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee.	0	0.34	2019
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement.	0	0.34	2019
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering.	2	0.40	2019
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series	5	0.58	2018
Projection onto A Nonnegative Max-Heap.	2	0.45	2011
Canonical correlation analysis for multilabel classification: a least-squares formulation, extensions, and analysis.	134	3.78	2011
A scalable two-stage approach for a class of dimensionality reduction techniques	21	0.78	2010
Multiclass probabilistic kernel discriminant analysis	5	0.42	2009
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation	25	1.65	2009
A least squares formulation for a class of generalized eigenvalue problems in machine learning	21	0.83	2009
On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares	25	0.87	2009
Multi-label Multiple Kernel Learning	32	1.80	2008
Adaptive diffusion kernel learning from biological networks for protein function prediction.	31	0.51	2008
A least squares formulation for canonical correlation analysis	40	2.08	2008
Hypergraph spectral learning for multi-label classification	121	3.56	2008
Automated annotation of Drosophila gene expression patterns using a controlled vocabulary.	22	1.19	2008