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Kai Zhang 0001

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affiliation (since 2017): Temple University, Department of Computer and Information Sciences, Philadelphia, PA, USA
affiliation (2013 - 2017): NEC Labs. America, Princeton, NJ, USA
affiliation (2010 - 2013): Siemens Corporate Rearch
affiliation (2008 - 2010): Lawrence Berkeley National Lab, CA, USA
affiliation (PhD 2008): Hong Kong University of Science and Technology
not to be confused with: Kai Zhang 0003

Other persons with the same name

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Kai Zhang — disambiguation page
Kai Zhang 0002 — Wuhan University of Science and Technology, College of Computer Science and Technology, Wuhan, China (and 1 more)
Kai Zhang 0003 — University of North Carolina, Department of Statistics and Operations Research, Chapel Hill, NC, USA (and 2 more)
Kai Zhang 0004 — Sichuan University, Chengdu, China (and 2 more)
Kai Zhang 0005 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Wuhan, China (and 1 more)
Kai Zhang 0006 — Fudan University, Shanghai, China (and 1 more)
Kai Zhang 0007 — Bytedance Inc., San Diego, CA, USA (and 4 more)
Kai Zhang 0008 — ETH Zurich, Computer Vision Lab, Switzerland (and 3 more)
Kai Zhang 0009 — National Digital Switching System Engineering and Technological Research Center of China, Henan, China
Kai Zhang 0010 — Xidian University, School of Electronic Engineering, National Lab of Radar Signal Processing, Xi'an, China

Kai Zhang 0011 — Central China Normal University, National Engineering Research Center for E-Learning, China
Kai Zhang 0012 — Tsinghua University, Graduate School at Shenzhen, Shenzhen Key Laboratory of Advanced Sensor and Integrated System, China
Kai Zhang 0013 — Shenzhen Polytechnic, Automotive and Transportation Engineering, China
Kai Zhang 0014 — Southwest University, College of Agronomy and Biotechnology, Beibei, China
Kai Zhang 0015 — University of Science and Technology of Beijing, School of Automation and Electrical Engineering, China (and 1 more)
Kai Zhang 0016 — Shanghai University of Electric Power, Department of Information Security, China (and 1 more)
Kai Zhang 0017 — Texas A&M University, Department of Electrical and Computer Engineering, TX, USA (and 1 more)
Kai Zhang 0018 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Network System Architecture and Convergence, China
Kai Zhang 0019 — Shenzhen University, Shenzhen Audencia Business School, China
Kai Zhang 0021 — University of California, San Diego, CA, USA
Kai Zhang 0022 — Pennsylvania State University, Department of Kinesiology, University Park, PA, USA
Kai Zhang 0023 — National University of Defense Technology, Changsha, China
Kai Zhang 0024 — Tsinghua University, Department of Electronic Engineering, Beijing, China
Kai Zhang 0025 — Worcester Polytechnic Institute, Department of Electrical and Computer Engineering, MA, USA
Kai Zhang 0026 — PLA SSF Information Engineering University, Zhengzhou, China (and 1 more)
Kai Zhang 0027 — TUMCREATE Ltd., Electrification Suite and Test Lab, Singapore
Kai Zhang 0028 — Stanford University, Department of Mechanical Engineering, CA, USA
Kai Zhang 0029 — China University of Petroleum, Department of Reservoir Engineering, Qingdao, China
Kai Zhang 0030 — Beijing Institution of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, China
Kai Zhang 0031 — Northwest Minzu University, School of Mathematics and Computer Science, Lanzhou, China
Kai Zhang 0032 — South China University of Technology, Guangdong Cardiovascular Institute, Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China
Kai Zhang 0033 — Ohio State University, Columbus, OH, USA (and 1 more)
Kai Zhang 0034 — Shanghai University, Shanghai Institute for Advanced Communication and Data Science, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, China
Kai Zhang 0035 — Beijing University of Posts and Telecommunications, School of Cyberspace Security, Information Security Center, National Engineering Laboratory for Disaster Backup and Recovery, China
Kai Zhang 0036 — Chang'an University, School of Automobile Engineering, Xi'an, China
Kai Zhang 0037 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
Kai Zhang 0038 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, Anhui, China
Kai Zhang 0039 — Lehigh University, Bethlehem, PA, USA (and 2 more)
Kai Zhang 0040 — Harbin Institute of Technology, Center for Control Theory and Guidance Technology, China (and 1 more)
Kai Zhang 0041 — University of Texas Health Science Center, McWilliams School of Biomedical Informatics, Houston, TX, USA
Kai Zhang 0042 — Shandong University of Science and Technology, College of Geodesy and Geomatics, Qingdao, China (and 1 more)
Kai Zhang 0043 — Xi'an Jiaotong University, School of Mechanical Engineering, China
Kai Zhang 0044 — Shaanxi Normal University, School of Mathematics and Statistics, China (and 1 more)
Kai Zhang 0045 — Cornell University, Cornell Tech, Ithaca, IA, USA
Kai Zhang 0046 — Northwestern Polytechnical University, School of Astronautics, Xi'an, China
Kai Zhang 0047 — New Jersey Institute of Technology, Computer Vision Laboratory, Department of Computer Science, Newark, NJ, USA
Kai Zhang 0048 — Chinese Academy of Sciences, CAS, Department of Key Laboratory of Computational Optical Imagine Technology, Aerospace Information Research Institute, China
Kai Zhang 0049 — Hunan Normal University, Changsha, College of Information Science and Engineering, China (and 1 more)
Kai Zhang 0050 — Dalian University of Technology, College of Computer Science and Technology, China
Kai Zhang 0051 — Southwest Jiaotong University, School of Mechanical Engineering, Chengdu, China (and 1 more)
Kai Zhang 0052 — University of Notre Dame, Department of Computer Science and Engineering, IN, USA

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2020 – today

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2024
[j27]
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Rui Huang, Ping Li, Kai Zhang:
DPGCL: Dual pass filtering based graph contrastive learning. Neural Networks 179: 106517 (2024)
[j26]
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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): 6126-6138 (2024)
[j25]
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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): 139:1-139:21 (2024)
[c39]
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Shun Liu, Gaoqi He, Kai Zhang, Honglin Li:
Knowledge Graph Information Bottleneck for Drug-Drug Interaction Prediction. IJCNN 2024: 1-8
[i10]
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  - journals/corr/abs-2408-09698
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Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong:
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation. CoRR abs/2408.09698 (2024)
2023
[j24]
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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): 307-320 (2023)
[j23]
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Tianyi Gu, Kaiwen Huang, Jie Zhang, Kai Zhang, Ping Li:
Fast Convolutional Factorization Machine With Enhanced Robustness. IEEE Trans. Knowl. Data Eng. 35(3): 2579-2589 (2023)
2022
[j22]
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Jie Wang, Zihao Shen, Yichen Liao, Zhen Yuan, Shiliang Li, Gaoqi He, Man Lan, Xuhong Qian, Kai Zhang, Honglin Li:
Multi-modal chemical information reconstruction from images and texts for exploring the near-drug space. Briefings Bioinform. 23(6) (2022)
[j21]
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Yaokang Zhu, Jun Wang, Jie Zhang, Kai Zhang:
Node Embedding and Classification with Adaptive Structural Fingerprint. Neurocomputing 502: 196-208 (2022)
[c38]
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Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha:
Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification. AAAI 2022: 9251-9259
[c37]
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Jincheng Huang, Ping Li, Kai Zhang:
Semantic consistency for graph representation learning. IJCNN 2022: 1-8
[c36]
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Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng:
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. NeurIPS 2022
[i9]
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  - journals/corr/abs-2203-16218
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Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Jian Xu, Bo Zheng:
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. CoRR abs/2203.16218 (2022)
2021
[j20]
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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): 5-13 (2021)
[c35]
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Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CIKM 2021: 3568-3572
[c34]
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  - conf/cvpr/BaiCCLZL21
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Hexin Bai, Wensheng Cheng, Peng Chu, Juehuan Liu, Kai Zhang, Haibin Ling:
GMOT-40: A Benchmark for Generic Multiple Object Tracking. CVPR 2021: 6719-6728
[i8]
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  - journals/corr/abs-2103-00674
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Kai Zhang, Zhigen Zhao, Wen Zhou:
BEAUTY Powered BEAST. CoRR abs/2103.00674 (2021)
[i7]
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  - journals/corr/abs-2108-11513
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Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CoRR abs/2108.11513 (2021)
2020
[c33]
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Shikai Fang, Shandian Zhe, Kuang-chih Lee, Kai Zhang, Jennifer Neville:
Online Bayesian Sparse Learning with Spike and Slab Priors. ICDM 2020: 142-151
[c32]
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  - conf/icdm/TillinghastF0Z20
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Conor Tillinghast, Shikai Fang, Kai Zhang, Shandian Zhe:
Probabilistic Neural-Kernel Tensor Decomposition. ICDM 2020: 531-540
[c31]
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Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang:
Adaptive Structural Fingerprints for Graph Attention Networks. ICLR 2020
[i6]
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  - journals/corr/abs-2006-15763
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Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang, Hongyuan Zha:
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification. CoRR abs/2006.15763 (2020)
[i5]
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  - journals/corr/abs-2011-11858
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Hexin Bai, Wensheng Cheng, Peng Chu, Juehuan Liu, Kai Zhang, Haibin Ling:
GMOT-40: A Benchmark for Generic Multiple Object Tracking. CoRR abs/2011.11858 (2020)

2010 – 2019

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2019
[j19]
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  - journals/bioinformatics/LiuRLZYDGCDWUZF19
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Zhaowen Liu, Edmund T. Rolls, Zhi Liu, Kai Zhang, Ming Yang, Jingnan Du, Weikang Gong, Wei Cheng, Fei Dai, He Wang, Kâmil Ugurbil, Jie Zhang, Jianfeng Feng:
Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. Bioinform. 35(19): 3771-3778 (2019)
[j18]
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Tingting Zhu, Xinyu Peng, Ping Li, Kai Zhang, Yan Chen:
Augmented label propagation for seed set expansion. Knowl. Based Syst. 179: 129-135 (2019)
[j17]
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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): 434-441 (2019)
[j16]
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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): 369-378 (2019)
2018
[j15]
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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: 164-176 (2018)
[c30]
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  - conf/cikm/LinCCT0CL18
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Ying Lin, Zhengzhang Chen, Cheng Cao, Lu-An Tang, Kai Zhang, Wei Cheng, Zhichun Li:
Collaborative Alert Ranking for Anomaly Detection. CIKM 2018: 1987-1995
[c29]
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  - conf/icde/Ge0AHC18
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Hancheng Ge, Kai Zhang, Majid Alfifi, Xia Hu, James Caverlee:
DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark. ICDE 2018: 137-148
[c28]
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  - conf/kdd/YuCAZCW18
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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: 2672-2681
[c27]
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  - conf/sdm/ChengW018
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Ruihua Cheng, Zhi Wei, Kai Zhang:
Network Inference from Contrastive Groups Using Discriminative Structural Regularization. SDM 2018: 117-125
2017
[j14]
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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: 1-15 (2017)
[j13]
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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): 40:1-40:28 (2017)
[c26]
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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: 707-715
[c25]
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  - conf/icdm/NiCZSYC017
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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: 1003-1008
[c24]
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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: 615-623
2016
[j12]
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Qiaojun Wang, Kai Zhang, Zhengzhang Chen, Dequan Wang, Guofei Jiang, Ivan Marsic:
Enhancing semi-supervised learning through label-aware base kernels. Neurocomputing 171: 1335-1343 (2016)
[j11]
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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): 211-223 (2016)
[c23]
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Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang:
Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. IJCAI 2016: 1396-1403
[c22]
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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: 805-814
[c21]
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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: 1325-1334
[c20]
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Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani:
Distributed Flexible Nonlinear Tensor Factorization. NIPS 2016: 920-928
[i4]
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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 abs/1607.07395 (2016)
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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 abs/1608.02639 (2016)
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Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang:
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events. CoRR abs/1608.07502 (2016)
2015
[j10]
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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): 444-457 (2015)
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Haifeng Chen, Takehiko Mizoguchi, Yan Tan, Kai Zhang, Geoff Jiang:
A Quality Control Engine for Complex Physical Systems. DSN 2015: 529-536
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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: 2167-2176
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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: 46-54
2014
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Kai Zhang, Qiaojun Wang, Liang Lan, Yu Sun, Ivan Marsic:
Sparse semi-supervised learning on low-rank kernel. Neurocomputing 129: 265-272 (2014)
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Qiaojun Wang, Kai Zhang, Guofei Jiang, Ivan Marsic:
Improving Semi-Supervised Target Alignment via Label-Aware Base Kernels. AAAI 2014: 2106-2112
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Chuanren Liu, Kai Zhang, Hui Xiong:
Sequential Pattern Analysis with Right Granularity. ICDM Workshops 2014: 1178-1184
[c14]
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Chuanren Liu, Kai Zhang, Hui Xiong, Geoff Jiang, Qiang Yang:
Temporal skeletonization on sequential data: patterns, categorization, and visualization. KDD 2014: 1336-1345
2013
[c13]
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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: 388-395
2012
[c12]
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Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber:
Improved Nystrom Low-rank Decomposition with Priors. ICML 2012
[c11]
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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: 89-96
[c10]
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Kai Zhang, Liang Lan, Zhuang Wang, Fabian Moerchen:
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach. AISTATS 2012: 1425-1434
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  - journals/corr/abs-1206-4619
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Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber, Fabian Moerchen:
Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method. CoRR abs/1206.4619 (2012)
2011
[c9]
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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: 711-714
2010
[j8]
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Kai Zhang, Joe W. Gray, Bahram Parvin:
Sparse multitask regression for identifying common mechanism of response to therapeutic targets. Bioinform. 26(12): 97-105 (2010)
[j7]
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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): 677-689 (2010)
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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)
[j5]
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Kai Zhang, James T. Kwok:
Simplifying mixture models through function approximation. IEEE Trans. Neural Networks 21(4): 644-658 (2010)
[j4]
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Kai Zhang, James T. Kwok:
Clustered Nyström method for large scale manifold learning and dimension reduction. IEEE Trans. Neural Networks 21(10): 1576-1587 (2010)

2000 – 2009

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2009
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Kai Zhang, James T. Kwok:
Density-Weighted Nyström Method for Computing Large Kernel Eigensystems. Neural Comput. 21(1): 121-146 (2009)
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Kai Zhang, Ivor W. Tsang, James T. Kwok:
Maximum Margin Clustering Made Practical. IEEE Trans. Neural Networks 20(4): 583-596 (2009)
[c8]
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Kai Zhang, James T. Kwok, Bahram Parvin:
Prototype vector machine for large scale semi-supervised learning. ICML 2009: 1233-1240
2008
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Kai Zhang, Ivor W. Tsang, James T. Kwok:
Improved Nyström low-rank approximation and error analysis. ICML 2008: 1232-1239
2007
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Kai Zhang, Ivor W. Tsang, James T. Kwok:
Maximum margin clustering made practical. ICML 2007: 1119-1126
2006
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  - journals/ijbc/ZhangSZ06
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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): 1585-1598 (2006)
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Kai Zhang, James T. Kwok, Ming Tang:
Accelerated Convergence Using Dynamic Mean Shift. ECCV (2) 2006: 257-268
[c4]
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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: 997-1000
[c3]
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Kai Zhang, James T. Kwok:
Block-quantized kernel matrix for fast spectral embedding. ICML 2006: 1097-1104
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Kai Zhang, James T. Kwok:
Simplifying Mixture Models through Function Approximation. NIPS 2006: 1577-1584
2005
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Kai Zhang, Ming Tang, James T. Kwok:
Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation. CVPR (2) 2005: 1001-1007

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