Kai Zhang

Orcid: 0000-0002-9692-4333

Affiliations:

Temple University, Department of Computer and Information Sciences, Philadelphia, PA, USA (since 2017)
NEC Labs. America, Princeton, NJ, USA (2013 - 2017)
Siemens Corporate Rearch (2010 - 2013)
Lawrence Berkeley National Lab, CA, USA (2008 - 2010)
Hong Kong University of Science and Technology (PhD 2008)

According to our database¹, Kai Zhang authored at least 59 papers between 2005 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Fast Convolutional Factorization Machine With Enhanced Robustness.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2023

Diagnostic Sparse Connectivity Networks With Regularization Template.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

2022

Node Embedding and Classification with Adaptive Structural Fingerprint.

[BibT_eX]

[DOI]

Neurocomputing, 2022

2021

Anomalous Event Sequence Detection.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2021

BEAUTY Powered BEAST.

[BibT_eX]

[DOI]

Kai Zhang

Zhigen Zhao

Wen Zhou

CoRR, 2021

GMOT-40: A Benchmark for Generic Multiple Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Adaptive Structural Fingerprints for Graph Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Probabilistic Neural-Kernel Tensor Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Online Bayesian Sparse Learning with Spike and Slab Priors.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

A Feature Sampling Strategy for Analysis of High Dimensional Genomic Data.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Augmented label propagation for seed set expansion.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results.

[BibT_eX]

[DOI]

Bioinform., 2019

2018

Neural and genetic determinants of creativity.

[BibT_eX]

[DOI]

NeuroImage, 2018

Network Inference from Contrastive Groups Using Discriminative Structural Regularization.

[BibT_eX]

[DOI]

Ruihua Cheng

Zhi Wei

Kai Zhang

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Collaborative Alert Ranking for Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2017

Low-rank decomposition meets kernel learning: A generalized Nyström method.

[BibT_eX]

[DOI]

Artif. Intell., 2017

Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Enhancing semi-supervised learning through label-aware base kernels.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling.

[BibT_eX]

[DOI]

CoRR, 2016

GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems.

[BibT_eX]

[DOI]

CoRR, 2016

Distributed Flexible Nonlinear Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Annealed Sparsity via Adaptive and Dynamic Shrinking.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

A Quality Control Engine for Complex Physical Systems.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015

2014

Sparse semi-supervised learning on low-rank kernel.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Temporal skeletonization on sequential data: patterns, categorization, and visualization.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Sequential Pattern Analysis with Right Granularity.

[BibT_eX]

[DOI]

Chuanren Liu

Kai Zhang

Hui Xiong

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Improving Semi-Supervised Target Alignment via Label-Aware Base Kernels.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels.

[BibT_eX]

[DOI]

Kai Zhang

Vincent Wenchen Zheng

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method

[BibT_eX]

[DOI]

CoRR, 2012

Patient-friendly detection of early peripheral arterial diseases (PAD) by budgeted sensor selection.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare, 2012

Improved Nystrom Low-rank Decomposition with Priors.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Clustered Nyström method for large scale manifold learning and dimension reduction.

[BibT_eX]

[DOI]

Kai Zhang

James T. Kwok

IEEE Trans. Neural Networks, 2010

Simplifying mixture models through function approximation.

[BibT_eX]

[DOI]

Kai Zhang

James T. Kwok

IEEE Trans. Neural Networks, 2010

Rhythmic Dynamics and Synchronization via Dimensionality Reduction: Application to Human Gait.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2010

Fast and accurate kernel density approximation using a divide-and-conquer approach.

[BibT_eX]

[DOI]

J. Zhejiang Univ. Sci. C, 2010

Sparse multitask regression for identifying common mechanism of response to therapeutic targets.

[BibT_eX]

[DOI]

Kai Zhang

Joe W. Gray

Bahram Parvin

Bioinform., 2010

2009

Maximum Margin Clustering Made Practical.

[BibT_eX]

[DOI]

Kai Zhang

Ivor W. Tsang

James T. Kwok

IEEE Trans. Neural Networks, 2009

Density-Weighted Nyström Method for Computing Large Kernel Eigensystems.

[BibT_eX]

[DOI]

Kai Zhang

James T. Kwok

Neural Comput., 2009

Prototype vector machine for large scale semi-supervised learning.

[BibT_eX]

[DOI]

Kai Zhang

James T. Kwok

Bahram Parvin

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Improved Nyström low-rank approximation and error analysis.

[BibT_eX]

[DOI]

Kai Zhang

Ivor W. Tsang

James T. Kwok

Proceedings of the Machine Learning, 2008

2006

Chaos inducement and Enhancement in Two Particular Nonlinear Maps Using Weak Periodic/quasiperiodic Perturbations.

[BibT_eX]

[DOI]

Jie Zhang

Michael Small

Kai Zhang

Int. J. Bifurc. Chaos, 2006

Block-quantized kernel matrix for fast spectral embedding.

[BibT_eX]

[DOI]

Kai Zhang

James T. Kwok

Proceedings of the Machine Learning, 2006

Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Accelerated Convergence Using Dynamic Mean Shift.

[BibT_eX]

[DOI]

Kai Zhang

James T. Kwok

Ming Tang

Proceedings of the Computer Vision, 2006

2005

Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation.

[BibT_eX]

[DOI]

Kai Zhang

Ming Tang

James T. Kwok

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Kai Zhang

Timeline

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