Ye Zhu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 67

Top Topics

Anomaly Detection

Takes Advantage

Hierarchical Clustering Algorithms

Top Venues

Pattern Recognit.

Publications

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 (2024)
Chenquan Gan, Xiang Fu, Qingdong Feng, Qingyi Zhu, Yang Cao, Ye Zhu
A multimodal fusion network with attention mechanisms for visual-textual sentiment analysis. Expert Syst. Appl. 242 (2024)
Chenquan Gan, Jiahao Zheng, Qingyi Zhu, Yang Cao, Ye Zhu
A survey of dialogic emotion analysis: Developments, approaches and perspectives. Pattern Recognit. 156 (2024)
Chen Li, Ye Zhu, Yang Cao, Jinli Zhang, Annisa, Debo Cheng, Yasuhiko Morimoto
Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework. CoRR (2024)
Kai Ming Ting, Zongyou Liu, Lei Gong, Hang Zhang, Ye Zhu
A new distributional treatment for time series anomaly detection. VLDB J. 33 (3) (2024)
Pengcheng Jiang, Ye Zhu, Yang Cao, Gang Li, Gang Liu, Bo Yang
Robust Representation Learning for Image Clustering. KSEM (4) (2024)
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) (2024)
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) (2024)
Lei Gong, Hang Zhang, Zongyou Liu, Kai Ming Ting, Yang Cao, Ye Zhu
Local Subsequence-Based Distribution for Time Series Clustering. PAKDD (1) (2024)
Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto
Ripple Knowledge Graph Convolutional Networks for Recommendation Systems. Mach. Intell. Res. 21 (3) (2024)
Zi Jing Wang, Ye Zhu, Kai Ming Ting
Distribution-Based Trajectory Clustering. CoRR (2023)
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 (2023)
Xin Han, Ye Zhu, Kai Ming Ting, Gang Li
The impact of isolation kernel on agglomerative hierarchical clustering algorithms. Pattern Recognit. 139 (2023)
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) (2023)
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang, Ye Zhu
Isolation Kernel Estimators. Knowl. Inf. Syst. 65 (2) (2023)
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)
Mathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu, Alexander C. Kalloniatis
Modelling host population support for combat adversaries. J. Oper. Res. Soc. 74 (3) (2023)
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 (2023)
Kai Ming Ting, Jonathan R. Wells, Ye Zhu
Point-Set Kernel Clustering. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Zi Jing Wang, Ye Zhu, Kai Ming Ting
Distribution-Based Trajectory Clustering. ICDM (2023)
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)
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 (2023)
Man Li, Ye Zhu, Yuxin Shen, Maia Angelova
Clustering-enhanced stock price prediction using deep learning. World Wide Web (WWW) 26 (1) (2023)
Ye Zhu, Kai Ming Ting
Kernel-based clustering via Isolation Distributional Kernel. Inf. Syst. 117 (2023)
Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu
Towards a Persistence Diagram that is Robust to Noise and Varied Densities. ICML (2023)
Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova
Hierarchical clustering that takes advantage of both density-peak and density-connectivity. Inf. Syst. 103 (2022)
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 (2022)
Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Gang Li
Detecting Change Intervals with Isolation Distributional Kernel. CoRR (2022)
Ye Zhu, Kai Ming Ting
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract). IJCAI (2022)
Xin Han, Ye Zhu, Kai Ming Ting, De-Chuan Zhan, Gang Li
Streaming Hierarchical Clustering Based on Point-Set Kernel. KDD (2022)
Man Li, Ye Zhu, Taige Zhao, Maia Angelova
Weighted dynamic time warping for traffic flow clustering. Neurocomputing 472 (2022)
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) (2022)
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)
Lu Zhou, Ye Zhu, Tianrui Zong, Yong Xiang
A feature selection-based method for DDoS attack flow classification. Future Gener. Comput. Syst. 132 (2022)
Lu Zhou, Ye Zhu, Yong Xiang
A Comprehensive Feature Importance Evaluation for DDoS Attacks Detection. ADMA (2021)
Kai Ming Ting, Takashi Washio, Ye Zhu, Yang Xu
Breaking the curse of dimensionality with Isolation Kernel. CoRR (2021)
Wenjie Zhao, Yushu Zhang, Ye Zhu, Peng Xu
Anomaly detection of aircraft lead-acid battery. Qual. Reliab. Eng. Int. 37 (3) (2021)
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 (2021)
Mathew Zuparic, Maia Angelova, Ye Zhu, Alexander Kalloniatis
Adversarial decision strategies in multiple network phased oscillators: The Blue-Green-Red Kuramoto-Sakaguchi model. Commun. Nonlinear Sci. Numer. Simul. 95 (2021)
Ye Zhu, Kai Ming Ting
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel. J. Artif. Intell. Res. 71 (2021)
Xichen Tang, Jinlong Wang, Ye Zhu, Robin Doss, Xin Han
Systematic evaluation of abnormal detection methods on gas well sensor data. ISCC (2021)
Jillian Tallboys, Ye Zhu, Sutharshan Rajasegarar
Identification of Stock Market Manipulation with Deep Learning. ADMA (2021)
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) (2020)
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) (2020)
Xin Han, Ye Zhu, Kai Ming Ting, Gang Li
The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms. CoRR (2020)
Yushu Zhang, Jin Jiang, Yong Xiang, Ye Zhu, Liangtian Wan, Xiyuan Xie
Cloud-assisted privacy-conscious large-scale Markowitz portfolio. Inf. Sci. 527 (2020)
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 (2020)
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 (2020)
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 (2020)
Kai Ming Ting, Jonathan R. Wells, Ye Zhu
Clustering based on Point-Set Kernel. CoRR (2020)
Maia Angelova, Gleb Beliakov, Ye Zhu
Density-based clustering using approximate natural neighbours. Appl. Soft Comput. 85 (2019)
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) (2019)
Ye Zhu, Kai Ming Ting
Improving Stochastic Neighbour Embedding fundamentally with a well-defined data-dependent kernel. CoRR (2019)
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)
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) (2019)
Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee
Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering. CoRR (2019)
Ye Zhu, Kai Ming Ting, Maia Angelova
A Distance Scaling Method to Improve Density-Based Clustering. PAKDD (3) (2018)
Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova
CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets. CoRR (2018)
Yuan Jin, Lan Du, Ye Zhu, Mark J. Carman
Leveraging Label Category Relationships in Multi-class Crowdsourcing. PAKDD (2) (2018)
Ye Zhu, Kai Ming Ting, Mark J. Carman
Grouping points by shared subspaces for effective subspace clustering. Pattern Recognit. 83 (2018)
Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova
Hierarchical clustering that takes advantage of both density-peak and density-connectivity. CoRR (2018)
Maia Angelova, Jeremy Ellman, Helen Gibson, Paul Oman, Sutharshan Rajasegarar, Ye Zhu
User Activity Pattern Analysis in Telecare Data. IEEE Access 6 (2018)
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) (2018)
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) (2018)
Ye Zhu, Kai Ming Ting, Mark James Carman
Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognit. 60 (2016)
Ye Zhu, Kai Ming Ting
Commentary: a decomposition of the outlier detection problem into a set of supervised learning problems. Mach. Learn. 105 (2) (2016)
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)
Hua Lou, Ye Zhu
Bivariate probability-based anomaly detection. BESC (2014)