Kai Zhang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 34

Top Topics

Physical Systems

Tensor Factorization

Anomaly Detection

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Rui Huang, Ping Li, Kai Zhang
DPGCL: Dual pass filtering based graph contrastive learning. Neural Networks 179 (2024)
Acong Zhang, Jincheng Huang, Ping Li, Kai Zhang
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Kai Zhang, Junchen Shen, Gaoqi He, Yu Sun, Haibin Ling, Hongyuan Zha, Honglin Li, Jie Zhang
A Transformative Topological Representation for Link Modeling, Prediction and Cross-Domain Network Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Tianyi Gu, Kaiwen Huang, Jie Zhang, Kai Zhang, Ping Li
Fast Convolutional Factorization Machine With Enhanced Robustness. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Yue Qu, Chuanren Liu, Kai Zhang, Keli Xiao, Bo Jin, Hui Xiong
Diagnostic Sparse Connectivity Networks With Regularization Template. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Yaokang Zhu, Jun Wang, Jie Zhang, Kai Zhang
Node Embedding and Classification with Adaptive Structural Fingerprint. Neurocomputing 502 (2022)
Kai Zhang, Zhigen Zhao, Wen Zhou
BEAUTY Powered BEAST. CoRR (2021)
Boxiang Dong, Zhengzhang Chen, Lu-An Tang, Haifeng Chen, Hui Wang, Kai Zhang, Ying Lin, Zhichun Li
Anomalous Event Sequence Detection. IEEE Intell. Syst. 36 (3) (2021)
Shikai Fang, Shandian Zhe, Kuang-chih Lee, Kai Zhang, Jennifer Neville
Online Bayesian Sparse Learning with Spike and Slab Priors. ICDM (2020)
Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang
Adaptive Structural Fingerprints for Graph Attention Networks. ICLR (2020)
Conor Tillinghast, Shikai Fang, Kai Zhang, Shandian Zhe
Probabilistic Neural-Kernel Tensor Decomposition. ICDM (2020)
Liang Lan, Zhuang Wang, Shandian Zhe, Wei Cheng, Jun Wang, Kai Zhang
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Jie Zhang, Zhigen Zhao, Kai Zhang, Zhi Wei
A Feature Sampling Strategy for Analysis of High Dimensional Genomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (2) (2019)
Tingting Zhu, Xinyu Peng, Ping Li, Kai Zhang, Yan Chen
Augmented label propagation for seed set expansion. Knowl. Based Syst. 179 (2019)
Zhaowen Liu, Edmund T. Rolls, Zhi Liu, Kai Zhang, Ming Yang, Jingnan Du, Weikang Gong, Wei Cheng, Fei Dai, He Wang, Kamil Ugurbil, Jie Zhang, Jianfeng Feng
Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. Bioinform. 35 (19) (2019)
Hancheng Ge, Kai Zhang, Majid Alfifi, Xia Hu, James Caverlee
DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark. ICDE (2018)
Ying Lin, Zhengzhang Chen, Cheng Cao, Lu-An Tang, Kai Zhang, Wei Cheng, Zhichun Li
Collaborative Alert Ranking for Anomaly Detection. CIKM (2018)
Zhaowen Liu, Jie Zhang, Xiaohua Xie, Edmund T. Rolls, Jiangzhou Sun, Kai Zhang, Zeyu Jiao, Qunlin Chen, Junying Zhang, Jiang Qiu, Jianfeng Feng
Neural and genetic determinants of creativity. NeuroImage 174 (2018)
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. KDD (2018)
Ruihua Cheng, Zhi Wei, Kai Zhang
Network Inference from Contrastive Groups Using Discriminative Structural Regularization. SDM (2018)
Boxiang Dong, Zhengzhang Chen, Wendy Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Zhichun Li, Haifeng Chen
Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems. CIKM (2017)
Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye
Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling. KDD (2017)
Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang
Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. ACM Trans. Knowl. Discov. Data 11 (4) (2017)
Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha
Low-rank decomposition meets kernel learning: A generalized Nyström method. Artif. Intell. 250 (2017)
Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. ICDM (2017)
Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang
Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. IJCAI (2016)
Boxiang Dong, Zhengzhang Chen, Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Haifeng Chen, Guofei Jiang
GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems. CoRR (2016)
Qiaojun Wang, Kai Zhang, Zhengzhang Chen, Dequan Wang, Guofei Jiang, Ivan Marsic
Enhancing semi-supervised learning through label-aware base kernels. Neurocomputing 171 (2016)
Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang
Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization. IEEE Trans. Knowl. Data Eng. 28 (1) (2016)
Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye
Annealed Sparsity via Adaptive and Dynamic Shrinking. KDD (2016)
Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang
Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. KDD (2016)
Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani
Distributed Flexible Nonlinear Tensor Factorization. NIPS (2016)
Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye
Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling. CoRR (2016)
Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events. CoRR (2016)
Kai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Guofei Jiang, Jie Zhang
From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding. SDM (2015)
Haifeng Chen, Takehiko Mizoguchi, Yan Tan, Kai Zhang, Geoff Jiang
A Quality Control Engine for Complex Physical Systems. DSN (2015)
Liudmila Ulanova, Tan Yan, Haifeng Chen, Guofei Jiang, Eamonn J. Keogh, Kai Zhang
Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems. KDD (2015)
Kai Zhang, Liang Lan, James T. Kwok, Slobodan Vucetic, Bahram Parvin
Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 26 (3) (2015)
Qiaojun Wang, Kai Zhang, Guofei Jiang, Ivan Marsic
Improving Semi-Supervised Target Alignment via Label-Aware Base Kernels. AAAI (2014)
Chuanren Liu, Kai Zhang, Hui Xiong, Geoff Jiang, Qiang Yang
Temporal skeletonization on sequential data: patterns, categorization, and visualization. KDD (2014)
Kai Zhang, Qiaojun Wang, Liang Lan, Yu Sun, Ivan Marsic
Sparse semi-supervised learning on low-rank kernel. Neurocomputing 129 (2014)
Chuanren Liu, Kai Zhang, Hui Xiong
Sequential Pattern Analysis with Right Granularity. ICDM Workshops (2014)
Kai Zhang, Vincent Wenchen Zheng, Qiaojun Wang, James Tin-Yau Kwok, Qiang Yang, Ivan Marsic
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels. ICML (3) (2013)
Kai Zhang, Liang Lan, Zhuang Wang, Fabian Moerchen
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach. AISTATS (2012)
Qiaojun Wang, Kai Zhang, Ivan Marsic, John K. J. Li, Fabian Moerchen
Patient-friendly detection of early peripheral arterial diseases (PAD) by budgeted sensor selection. PervasiveHealth (2012)
Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber
Improved Nystrom Low-rank Decomposition with Priors. ICML (2012)
Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber, Fabian Moerchen
Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method CoRR (2012)
Ju Han, Hang Chang, Leandro A. Loss, Kai Zhang, Frederick L. Baehner, Joe W. Gray, Paul T. Spellman, Bahram Parvin
Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme. ISBI (2011)
Kai Zhang, James T. Kwok
Simplifying mixture models through function approximation. IEEE Trans. Neural Networks 21 (4) (2010)
Yan-xia Jin, Kai Zhang, James T. Kwok, Han-chang Zhou
Fast and accurate kernel density approximation using a divide-and-conquer approach. J. Zhejiang Univ. Sci. C 11 (9) (2010)
Kai Zhang, James T. Kwok
Clustered Nyström method for large scale manifold learning and dimension reduction. IEEE Trans. Neural Networks 21 (10) (2010)
Jie Zhang, Kai Zhang, Jianfeng Feng, Michael Small
Rhythmic Dynamics and Synchronization via Dimensionality Reduction: Application to Human Gait. PLoS Comput. Biol. 6 (12) (2010)
Kai Zhang, Joe W. Gray, Bahram Parvin
Sparse multitask regression for identifying common mechanism of response to therapeutic targets. Bioinform. 26 (12) (2010)
Kai Zhang, Ivor W. Tsang, James T. Kwok
Maximum Margin Clustering Made Practical. IEEE Trans. Neural Networks 20 (4) (2009)
Kai Zhang, James T. Kwok
Density-Weighted Nyström Method for Computing Large Kernel Eigensystems. Neural Comput. 21 (1) (2009)
Kai Zhang, James T. Kwok, Bahram Parvin
Prototype vector machine for large scale semi-supervised learning. ICML (2009)
Kai Zhang, Ivor W. Tsang, James T. Kwok
Improved Nyström low-rank approximation and error analysis. ICML (2008)
Kai Zhang, Ivor W. Tsang, James T. Kwok
Maximum margin clustering made practical. ICML (2007)
Kai Zhang, James T. Kwok
Simplifying Mixture Models through Function Approximation. NIPS (2006)
Ivor W. Tsang, James T. Kwok, Brian Mak, Kai Zhang, Jeffrey Junfeng Pan
Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression. ICASSP (1) (2006)
Kai Zhang, James T. Kwok, Ming Tang
Accelerated Convergence Using Dynamic Mean Shift. ECCV (2) (2006)
Kai Zhang, James T. Kwok
Block-quantized kernel matrix for fast spectral embedding. ICML (2006)
Jie Zhang, Michael Small, Kai Zhang
Chaos inducement and Enhancement in Two Particular Nonlinear Maps Using Weak Periodic/quasiperiodic Perturbations. Int. J. Bifurc. Chaos 16 (5) (2006)
Kai Zhang, Ming Tang, James T. Kwok
Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation. CVPR (2) (2005)