Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYe Zhu 0002
Person information
- unicode name: 祝烨
- affiliation: Deakin University, School of Information Technology, Burwood, VIC, Australia
- affiliation (PhD 2017): Monash University, Faculty of Information Technology, Clayton, VIC, Australia
Other persons with the same name
- Ye Zhu — disambiguation page
- Ye Zhu 0001
![[0000-0001-6459-204X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6459-204X")
— Cleveland State University, Department of Electrical Engineering and Computer Science, OH, USA (and 1 more) - Ye Zhu 0003 — South China University of Technology, School of Computer Science and Engineering, Guangzhou , China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j38]Yang Cao, Shiva Raj Pokhrel, Ye Zhu, Robin Doss, Gang Li:
Automation and Orchestration of Zero Trust Architecture: Potential Solutions and Challenges. Mach. Intell. Res. 21(2): 294-317 (2024)- [j37]Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li:
Detecting Change Intervals with Isolation Distributional Kernel. J. Artif. Intell. Res. 79: 273-306 (2024) - [j36]Kaifan Huang, Xiaofan Yang, Lu-Xing Yang, Ye Zhu, Gang Li:
Mitigating the Impact of a False Message Through Sequential Release of Clarifying Messages. IEEE Trans. Netw. Sci. Eng. 11(2): 1785-1798 (2024) - [j35]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) - [c18]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 - 2023
- [j34]Junhao Xiao, Chenquan Gan, Qingyi Zhu, Ye Zhu, Gang Liu:
CFNet: Facial expression recognition via constraint fusion under multi-task joint learning network. Appl. Soft Comput. 141: 110312 (2023) - [j33]Chenquan Gan, Anqi Liu, Qingyi Zhu, Ye Zhu, Yong Xiang, Jun Liu:
Social tie-driven coupling propagation of user awareness and information in Device-to-Device communications. Comput. Networks 237: 110087 (2023) - [j32]Moting Su, Wenjie Zhao, Ye Zhu, Donglan Zha, Yushu Zhang, Peng Xu:
Anomaly detection of vectorized time series on aircraft battery data. Expert Syst. Appl. 227: 120219 (2023) - [j31]Ye Zhu, Kai Ming Ting:
Kernel-based clustering via Isolation Distributional Kernel. Inf. Syst. 117: 102212 (2023) - [j30]Mathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu, Alexander C. Kalloniatis:
Modelling host population support for combat adversaries. J. Oper. Res. Soc. 74(3): 928-943 (2023) - [j29]Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang, Ye Zhu:
Isolation Kernel Estimators. Knowl. Inf. Syst. 65(2): 759-787 (2023) - [j28]Xin Han, Ye Zhu, Kai Ming Ting, Gang Li:
The impact of isolation kernel on agglomerative hierarchical clustering algorithms. Pattern Recognit. 139: 109517 (2023) - [j27]Kai Ming Ting, Jonathan R. Wells, Ye Zhu:
Point-Set Kernel Clustering. IEEE Trans. Knowl. Data Eng. 35(5): 5147-5158 (2023) - [j26]Lu Zhou, Ye Zhu, Yong Xiang, Tianrui Zong:
A novel feature-based framework enabling multi-type DDoS attacks detection. World Wide Web (WWW) 26(1): 163-185 (2023) - [j25]Man Li, Ye Zhu, Yuxin Shen, Maia Angelova:
Clustering-enhanced stock price prediction using deep learning. World Wide Web (WWW) 26(1): 207-232 (2023) - [c17]Zijing Wang, Ye Zhu, Kai Ming Ting:
Distribution-Based Trajectory Clustering. ICDM 2023: 1379-1384 - [c16]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 - [c15]Chen Li, Yang Cao, Ye Zhu, Jinli Zhang, Annisa, Debo Cheng, Huidong Tang, Shuai Jiang, Kenta Maruyama, Yasuhiko Morimoto:
An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark. KSEM (4) 2023: 35-43 - [c14]Yuhang Liu, Yi Zhang, Yang Cao, Ye Zhu, Nayyar Zaidi, Chathu Ranaweera, Gang Li, Qingyi Zhu:
Kernel-Based Feature Extraction for Time Series Clustering. KSEM (1) 2023: 276-283 - [c13]Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Gang Liu, Hong Xian Li, Maia Angelova, Gang Li:
An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering. PAKDD (1) 2023: 197-209 - [i12]Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto:
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems. CoRR abs/2305.01147 (2023) - [i11]Zijing Wang, Ye Zhu, Kai Ming Ting:
Distribution-Based Trajectory Clustering. CoRR abs/2310.05123 (2023) - 2022
- [j24]Lu Zhou, Ye Zhu, Tianrui Zong, Yong Xiang:
A feature selection-based method for DDoS attack flow classification. Future Gener. Comput. Syst. 132: 67-79 (2022) - [j23]Man Li, Ye Zhu, Taige Zhao, Maia Angelova:
Weighted dynamic time warping for traffic flow clustering. Neurocomputing 472: 266-279 (2022) - [j22]Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova:
Hierarchical clustering that takes advantage of both density-peak and density-connectivity. Inf. Syst. 103: 101871 (2022) - [j21]Ye Zhu, Ruoyu Zhao, Yushu Zhang, Xiangli Xiao, Rushi Lan, Yong Xiang:
Noise-free thumbnail-preserving image encryption based on MSB prediction. Inf. Sci. 617: 395-415 (2022) - [j20]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) - [c12]Mingxi Wang, Ye Zhu, Gang Li, Gang Liu, Bo Yang:
Image Anomaly Detection With Semantic- Enhanced Augmentation and Distributional Kernel. HPCC/DSS/SmartCity/DependSys 2022: 163-170 - [c11]Ye Zhu, Kai Ming Ting:
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract). IJCAI 2022: 5792-5796 - [c10]Xin Han, Ye Zhu, Kai Ming Ting, De-Chuan Zhan, Gang Li:
Streaming Hierarchical Clustering Based on Point-Set Kernel. KDD 2022: 525-533 - [i10]Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Gang Li:
Detecting Change Intervals with Isolation Distributional Kernel. CoRR abs/2212.14630 (2022) - 2021
- [j19]Mathew Zuparic, Maia Angelova, Ye Zhu, Alexander C. Kalloniatis:
Adversarial decision strategies in multiple network phased oscillators: The Blue-Green-Red Kuramoto-Sakaguchi model. Commun. Nonlinear Sci. Numer. Simul. 95: 105642 (2021) - [j18]Ye Zhu, Kai Ming Ting:
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel. J. Artif. Intell. Res. 71: 667-695 (2021) - [j17]Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova:
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities. Pattern Recognit. 117: 107977 (2021) - [j16]Wenjie Zhao, Yushu Zhang, Ye Zhu, Peng Xu:
Anomaly detection of aircraft lead-acid battery. Qual. Reliab. Eng. Int. 37(3): 1186-1197 (2021) - [c9]Lu Zhou, Ye Zhu, Yong Xiang:
A Comprehensive Feature Importance Evaluation for DDoS Attacks Detection. ADMA 2021: 353-367 - [c8]Jillian Tallboys, Ye Zhu, Sutharshan Rajasegarar:
Identification of Stock Market Manipulation with Deep Learning. ADMA 2021: 408-420 - [c7]Xichen Tang, Jinlong Wang, Ye Zhu, Robin Doss, Xin Han:
Systematic evaluation of abnormal detection methods on gas well sensor data. ISCC 2021: 1-6 - [i9]Kai Ming Ting, Takashi Washio, Ye Zhu, Yang Xu:
Breaking the curse of dimensionality with Isolation Kernel. CoRR abs/2109.14198 (2021) - 2020
- [j15]Maia Angelova, Chandan K. Karmakar, Ye Zhu, Sean P. A. Drummond, Jason Ellis:
Automated Method for Detecting Acute Insomnia Using Multi-Night Actigraphy Data. IEEE Access 8: 74413-74422 (2020) - [j14]Shitanshu Kusmakar, Sergiy Shelyag, Ye Zhu, Dan Dwyer, Paul B. Gastin, Maia Angelova:
Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer. IEEE Access 8: 90266-90279 (2020) - [j13]Yuan Jin, Mark J. Carman, Ye Zhu, Yong Xiang:
A technical survey on statistical modelling and design methods for crowdsourcing quality control. Artif. Intell. 287: 103351 (2020) - [j12]Maia Angelova, Gleb Beliakov, Sergiy Shelyag, Ye Zhu:
Density estimates on the unit simplex and calculation of the mode of a sample. Int. J. Intell. Syst. 35(5): 850-868 (2020) - [j11]Yushu Zhang, Jin Jiang, Yong Xiang, Ye Zhu, Liangtian Wan, Xiyuan Xie:
Cloud-assisted privacy-conscious large-scale Markowitz portfolio. Inf. Sci. 527: 548-559 (2020) - [j10]Jian-Zhang Wu, Rui-Jie Xi, Ye Zhu:
Correlative decision preference information consistency check and comprehensive dominance representation method. J. Intell. Fuzzy Syst. 38(2): 2009-2019 (2020) - [i8]Kai Ming Ting, Jonathan R. Wells, Ye Zhu:
Clustering based on Point-Set Kernel. CoRR abs/2002.05815 (2020) - [i7]Xin Han, Ye Zhu, Kai Ming Ting, Gang Li:
The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms. CoRR abs/2010.05473 (2020)
2010 – 2019
- 2019
- [j9]Maia Angelova, Gleb Beliakov, Ye Zhu:
Density-based clustering using approximate natural neighbours. Appl. Soft Comput. 85 (2019) - [j8]Kai Ming Ting, Ye Zhu, Mark J. Carman, Yue Zhu, Takashi Washio, Zhi-Hua Zhou:
Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms. Mach. Learn. 108(2): 331-376 (2019) - [j7]Ming Li, Di Xiao, Ye Zhu, Yushu Zhang, Lin Sun:
Commutative fragile zero-watermarking and encryption for image integrity protection. Multim. Tools Appl. 78(16): 22727-22742 (2019) - [c6]Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee:
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering. AAAI 2019: 4755-4762 - [i6]Ye Zhu, Kai Ming Ting:
Improving Stochastic Neighbour Embedding fundamentally with a well-defined data-dependent kernel. CoRR abs/1906.09744 (2019) - [i5]Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee:
Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering. CoRR abs/1907.00378 (2019) - 2018
- [j6]Maia Angelova, Jeremy Ellman, Helen Gibson, Paul Oman, Sutharshan Rajasegarar, Ye Zhu:
User Activity Pattern Analysis in Telecare Data. IEEE Access 6: 33306-33317 (2018) - [j5]Tharindu R. Bandaragoda, Kai Ming Ting, David W. Albrecht, Fei Tony Liu, Ye Zhu, Jonathan R. Wells:
Isolation-based anomaly detection using nearest-neighbor ensembles. Comput. Intell. 34(4): 968-998 (2018) - [j4]Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu:
Local contrast as an effective means to robust clustering against varying densities. Mach. Learn. 107(8-10): 1621-1645 (2018) - [j3]Ye Zhu, Kai Ming Ting, Mark J. Carman:
Grouping points by shared subspaces for effective subspace clustering. Pattern Recognit. 83: 230-244 (2018) - [c5]Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. ACML 2018: 192-207 - [c4]Yuan Jin, Lan Du, Ye Zhu, Mark J. Carman:
Leveraging Label Category Relationships in Multi-class Crowdsourcing. PAKDD (2) 2018: 128-140 - [c3]Ye Zhu, Kai Ming Ting, Maia Angelova:
A Distance Scaling Method to Improve Density-Based Clustering. PAKDD (3) 2018: 389-400 - [i4]Yuan Jin, Mark James Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. CoRR abs/1802.04009 (2018) - [i3]Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova:
CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets. CoRR abs/1810.02897 (2018) - [i2]Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova:
Hierarchical clustering that takes advantage of both density-peak and density-connectivity. CoRR abs/1810.03393 (2018) - [i1]Yuan Jin, Mark J. Carman, Ye Zhu, Yong Xiang:
A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control. CoRR abs/1812.02736 (2018) - 2017
- [b1]Ye Zhu:
Efficient Identification of Arbitrarily Shaped and Varied Density Clusters in High-dimensional Data. Monash University, Australia, 2017 - 2016
- [j2]Ye Zhu, Kai Ming Ting:
Commentary: a decomposition of the outlier detection problem into a set of supervised learning problems. Mach. Learn. 105(2): 301-304 (2016) - [j1]Ye Zhu, Kai Ming Ting, Mark James Carman:
Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognit. 60: 983-997 (2016) - [c2]Kai Ming Ting, Ye Zhu, Mark James Carman, Yue Zhu, Zhi-Hua Zhou:
Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD 2016: 1205-1214 - 2014
- [c1]Hua Lou, Ye Zhu:
Bivariate probability-based anomaly detection. BESC 2014: 81-86
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-08 23:45 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
