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Hang Zhang 0003
Person information
- affiliation: Nanjing University, State Key Laboratory for Novel Software Technology, China
Other persons with the same name
- Hang Zhang — disambiguation page
- Hang Zhang 0001
— PLA University of Science and Technology, College of Communications Engineering, Nanjing, China - Hang Zhang 0002
— University of Göttingen, Institute of Computer Science, Germany - Hang Zhang 0004
— Wuhan University, School of Resource and Environmental Sciences, China - Hang Zhang 0005
— Facebook Inc., Menlo Park, CA, USA (and 2 more) - Hang Zhang 0006
— Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China (and 3 more) - Hang Zhang 0007
— Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Key Laboratory of Systems and Control, Beijing, China - Hang Zhang 0008
— National University of Defense Technology, Key Laboratory of Information System Engineering, Changsha, China - Hang Zhang 0009
— Hunan University, State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Changsha, China - Hang Zhang 0010
— Cornell University, School of Electrical and Computer Engineering, Ithaca, NY, USA (and 1 more)
- Hang Zhang 0011 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Hang Zhang 0012
— Indiana University Bloomington, IN, USA (and 2 more) - Hang Zhang 0013
— Amazon, Seattle, WA, USA (and 2 more) - Hang Zhang 0014 — Huawei Technologies Canada, Ottawa Research and Development Centre, Ottawa, Canada
- Hang Zhang 0015
— Tianjin Agricultural University, College of Computer and Information Engineering, Tianjin, China - Hang Zhang 0016
— Liaoning University of Technology, School of Electronics and Information Engineering, Jinzhou, China - Hang Zhang 0017
— Dalian University of Technology, State Key Laboratory of Coastal and Offshore Engineering, Dalian, China - Hang Zhang 0018
— Nanyang Technological University, School of Materials Science and Engineering, Singapore (and 1 more) - Hang Zhang 0019
— Chinese Academy of Sciences, Institute of Electrical Engineering, Key Laboratory of Power Electronics and Electric Drive, Beijing, China - Hang Zhang 0020
— Kansas State University, Department of Electrical and Computer Engineering, Manhattan, KS, USA - Hang Zhang 0021
— Shanghai University of Engineering Science, School of Mathematics, Physics and Statistics, Shanghai, China - Hang Zhang 0022
— University of Science and Technology Beijing, School of Economics and Management, Beijing, China - Hang Zhang 0023
— Chengdu University of Technology, State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu, China (and 1 more) - Hang Zhang 0024
— Northwestern Polytechnical University, School of Automation, Shaanxi Key Laboratory of Small & Special Electrical Machine and Drive Technology, Xi'an, China - Hang Zhang 0025
— Shandong Normal University, School of Physics and Electronics, Shandong Key Laboratory of Medical Physics and Image Processing, Jinan, China - Hang Zhang 0026
— Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Wuhan National High Magnetic Field Center, Wuhan, China - Hang Zhang 0027
— Chinese Academy of Sciences, Shanghai Advanced Research Institute, Shanghai, China - Hang Zhang 0028
— Peking University, School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Beijing, China (and 1 more) - Hang Zhang 0029
— Sichuan University, College of Computer Science, Chengdu, China (and 1 more) - Hang Zhang 0030 — Xi'an Jiaotong University, School of Electrical Engineering, Xi'an, China
- Hang Zhang 0031 — University of Virginia, ECE Department, Charlottesville, VA, USA
- Hang Zhang 0032
— Tsinghua University, School of Software, Beijing, China
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2020 – today
- 2026
[j8]Hang Zhang
, Kai Ming Ting
, Ye Zhu
:
Kernel-bounded clustering: Achieving the objective of spectral clustering without eigendecomposition. Artif. Intell. 350: 104440 (2026)
[c8]Yang Xu, Hang Zhang, Yixiao Ma, Ye Zhu, Kai Ming Ting:
SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection. AAAI 2026: 16083-16090
[i5]Kai Ming Ting, Ye Zhu, Hang Zhang, Tianrun Liang:
Mass Distribution versus Density Distribution in the Context of Clustering. CoRR abs/2601.10759 (2026)
[i4]Kai Ming Ting, Wei-Jie Xu, Hang Zhang:
How to Achieve the Intended Aim of Deep Clustering Now, without Deep Learning. CoRR abs/2602.05749 (2026)- 2025
[j7]Yang Cao
, Haolong Xiang
, Hang Zhang
, Ye Zhu
, Kai Ming Ting
:
Anomaly Detection Based on Isolation Mechanisms: A Survey. Mach. Intell. Res. 22(5): 849-865 (2025)
[j6]Hang Zhang
, Kaifeng Zhang
, Kai Ming Ting
, Ye Zhu:
Towards a Robust Persistence Diagram via Data-dependent Kernel. J. Artif. Intell. Res. 84 (2025)
[j5]Kaifeng Zhang, Hang Zhang, Kai Ming Ting, Tianrun Liang:
A new filter for deformation-invariant persistence diagram. Mach. Learn. 114(10): 233 (2025)
[c7]Hang Zhang, Kai Ming Ting:
Machine Unlearning for Random Forest via Method of Images. ECML/PKDD (5) 2025: 415-431
[i3]Yang Xu, Hang Zhang, Yixiao Ma, Ye Zhu, Kai Ming Ting:
SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection. CoRR abs/2512.05540 (2025)- 2024
[j4]Kai Ming Ting
, Zongyou Liu, Lei Gong
, Hang Zhang, Ye Zhu
:
A new distributional treatment for time series anomaly detection. VLDB J. 33(3): 753-780 (2024)
[c6]Lei Gong, Hang Zhang, Zongyou Liu, Kai Ming Ting, Yang Cao, Ye Zhu:
Local Subsequence-Based Distribution for Time Series Clustering. PAKDD (1) 2024: 259-270
[i2]Yang Cao, Haolong Xiang, Hang Zhang, Ye Zhu, Kai Ming Ting:
Anomaly Detection Based on Isolation Mechanisms: A Survey. CoRR abs/2403.10802 (2024)
[i1]Hang Zhang, Yang Xu, Lei Gong, Ye Zhu, Kai Ming Ting:
Distributed Clustering based on Distributional Kernel. CoRR abs/2409.09418 (2024)- 2023
[j3]Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang, Ye Zhu
:
Isolation Kernel Estimators. Knowl. Inf. Syst. 65(2): 759-787 (2023)
[c5]Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu:
Towards a Persistence Diagram that is Robust to Noise and Varied Densities. ICML 2023: 41952-41972- 2022
[j2]Kai Ming Ting, Zongyou Liu, Hang Zhang, Ye Zhu:
A New Distributional Treatment for Time Series and An Anomaly Detection Investigation. Proc. VLDB Endow. 15(11): 2321-2333 (2022)- 2021
[c4]Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang:
Isolation Kernel Density Estimation. ICDM 2021: 619-628
2010 – 2019
- 2012
[j1]Hang Zhang, Wei Hu, Yuzhong Qu:
VDoc+: a virtual document based approach for matching large ontologies using MapReduce. J. Zhejiang Univ. Sci. C 13(4): 257-267 (2012)- 2011
[c3]Hang Zhang, Wei Hu, Yuzhong Qu:
Constructing Virtual Documents for Ontology Matching Using MapReduce. JIST 2011: 48-63
[c2]Wei Hu, Jianfeng Chen, Hang Zhang, Yuzhong Qu:
Learning Complex Mappings between Ontologies. JIST 2011: 350-357
[c1]Wei Hu, Jianfeng Chen, Hang Zhang, Yuzhong Qu:
How Matchable Are Four Thousand Ontologies on the Semantic Web. ESWC (1) 2011: 290-304
Coauthor Index

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last updated on 2026-05-14 23:14 CEST by the dblp team
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