Bivariate probability-based anomaly detection. - Hua Lou; Ye Zhu 002 (BESC, 2014)

Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. - Kai Ming Ting; Ye Zhu 002; Mark James Carman; Yue Zhu 001; Zhi-Hua Zhou (KDD, 2016)

Commentary: a decomposition of the outlier detection problem into a set of supervised learning problems. - Ye Zhu 002; Kai Ming Ting (Mach. Learn., 2016)

Density-ratio based clustering for discovering clusters with varying densities. - Ye Zhu 002; Kai Ming Ting; Mark James Carman (Pattern Recognit., 2016)

Efficient Identification of Arbitrarily Shaped and Varied Density Clusters in High-dimensional Data. - Ye Zhu 002 (2017)

Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. - Yuan Jin; Mark J. Carman; Ye Zhu 002; Wray L. Buntine (ACML, 2018)

Leveraging Label Category Relationships in Multi-class Crowdsourcing. - Yuan Jin; Lan Du 002; Ye Zhu 002; Mark J. Carman (PAKDD (2), 2018)

A Distance Scaling Method to Improve Density-Based Clustering. - Ye Zhu 002; Kai Ming Ting; Maia Angelova (PAKDD (3), 2018)

User Activity Pattern Analysis in Telecare Data. - Maia Angelova; Jeremy Ellman; Helen Gibson; Paul Oman 001; Sutharshan Rajasegarar; Ye Zhu 002 (IEEE Access, 2018)

Isolation-based anomaly detection using nearest-neighbor ensembles. - Tharindu R. Bandaragoda; Kai Ming Ting; David W. Albrecht; Fei Tony Liu; Ye Zhu 002; Jonathan R. Wells (Comput. Intell., 2018)

CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets. - Ye Zhu 002; Kai Ming Ting; Mark J. Carman; Maia Angelova (CoRR, 2018)

Local contrast as an effective means to robust clustering against varying densities. - Bo Chen 009; Kai Ming Ting; Takashi Washio; Ye Zhu 002 (Mach. Learn., 2018)

Grouping points by shared subspaces for effective subspace clustering. - Ye Zhu 002; Kai Ming Ting; Mark J. Carman (Pattern Recognit., 2018)

Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering. - Xiaoyu Qin; Kai Ming Ting; Ye Zhu 002; Vincent C. S. Lee (AAAI, 2019)

Density-based clustering using approximate natural neighbours. - Maia Angelova; Gleb Beliakov; Ye Zhu 002 (Appl. Soft Comput., 2019)

Improving Stochastic Neighbour Embedding fundamentally with a well-defined data-dependent kernel. - Ye Zhu 002; Kai Ming Ting (CoRR, 2019)

Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms. - Kai Ming Ting; Ye Zhu 002; Mark J. Carman; Yue Zhu 001; Takashi Washio; Zhi-Hua Zhou (Mach. Learn., 2019)

Commutative fragile zero-watermarking and encryption for image integrity protection. - Ming Li 029; Di Xiao 001; Ye Zhu 002; Yushu Zhang 001; Lin Sun 002 (Multim. Tools Appl., 2019)

Automated Method for Detecting Acute Insomnia Using Multi-Night Actigraphy Data. - Maia Angelova; Chandan K. Karmakar; Ye Zhu 002; Sean P. A. Drummond; Jason Ellis (IEEE Access, 2020)

Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer. - Shitanshu Kusmakar; Sergiy Shelyag; Ye Zhu 002; Dan Dwyer; Paul B. Gastin; Maia Angelova (IEEE Access, 2020)

A technical survey on statistical modelling and design methods for crowdsourcing quality control. - Yuan Jin; Mark J. Carman; Ye Zhu 002; Yong Xiang 001 (Artif. Intell., 2020)

Clustering based on Point-Set Kernel. - Kai Ming Ting; Jonathan R. Wells; Ye Zhu 002 (CoRR, 2020)

Density estimates on the unit simplex and calculation of the mode of a sample. - Maia Angelova; Gleb Beliakov; Sergiy Shelyag; Ye Zhu 002 (Int. J. Intell. Syst., 2020)

Cloud-assisted privacy-conscious large-scale Markowitz portfolio. - Yushu Zhang 001; Jin Jiang; Yong Xiang 001; Ye Zhu 002; Liangtian Wan; Xiyuan Xie (Inf. Sci., 2020)

Correlative decision preference information consistency check and comprehensive dominance representation method. - Jian-Zhang Wu 001; Rui-Jie Xi; Ye Zhu 002 (J. Intell. Fuzzy Syst., 2020)

Identification of Stock Market Manipulation with Deep Learning. - Jillian Tallboys; Ye Zhu 002; Sutharshan Rajasegarar (ADMA, 2021)

A Comprehensive Feature Importance Evaluation for DDoS Attacks Detection. - Lu Zhou 003; Ye Zhu 002; Yong Xiang 001 (ADMA, 2021)

Systematic evaluation of abnormal detection methods on gas well sensor data. - Xichen Tang; Jinlong Wang; Ye Zhu 002; Robin Doss; Xin Han (ISCC, 2021)

Adversarial decision strategies in multiple network phased oscillators: The Blue-Green-Red Kuramoto-Sakaguchi model. - Mathew Zuparic; Maia Angelova; Ye Zhu 002; Alexander C. Kalloniatis (Commun. Nonlinear Sci. Numer. Simul., 2021)

Breaking the curse of dimensionality with Isolation Kernel. - Kai Ming Ting; Takashi Washio; Ye Zhu 002; Yang Xu (CoRR, 2021)

Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel. - Ye Zhu 002; Kai Ming Ting (J. Artif. Intell. Res., 2021)

CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities. - Ye Zhu 002; Kai Ming Ting; Mark J. Carman; Maia Angelova (Pattern Recognit., 2021)

Anomaly detection of aircraft lead-acid battery. - Wenjie Zhao; Yushu Zhang 001; Ye Zhu 002; Peng Xu (Qual. Reliab. Eng. Int., 2021)

Image Anomaly Detection With Semantic- Enhanced Augmentation and Distributional Kernel. - Mingxi Wang; Ye Zhu 002; Gang Li 009; Gang Liu 021; Bo Yang 002 (HPCC/DSS/SmartCity/DependSys, 2022)

Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract). - Ye Zhu 002; Kai Ming Ting (IJCAI, 2022)

Streaming Hierarchical Clustering Based on Point-Set Kernel. - Xin Han; Ye Zhu 002; Kai Ming Ting; De-Chuan Zhan; Gang Li 009 (KDD, 2022)

Detecting Change Intervals with Isolation Distributional Kernel. - Yang Cao 019; Ye Zhu 002; Kai Ming Ting; Flora D. Salim; Hong Xian Li; Gang Li 009 (CoRR, 2022)

A feature selection-based method for DDoS attack flow classification. - Lu Zhou 003; Ye Zhu 002; Tianrui Zong; Yong Xiang 001 (Future Gener. Comput. Syst., 2022)

Weighted dynamic time warping for traffic flow clustering. - Man Li; Ye Zhu 002; Taige Zhao; Maia Angelova (Neurocomputing, 2022)

Hierarchical clustering that takes advantage of both density-peak and density-connectivity. - Ye Zhu 002; Kai Ming Ting; Yuan Jin; Maia Angelova (Inf. Syst., 2022)

Noise-free thumbnail-preserving image encryption based on MSB prediction. - Ye Zhu 002; Ruoyu Zhao; Yushu Zhang 001; Xiangli Xiao; Rushi Lan; Yong Xiang 001 (Inf. Sci., 2022)

A New Distributional Treatment for Time Series and An Anomaly Detection Investigation. - Kai Ming Ting; Zongyou Liu; Hang Zhang 003; Ye Zhu 002 (Proc. VLDB Endow., 2022)

Distribution-Based Trajectory Clustering. - Zijing Wang; Ye Zhu 002; Kai Ming Ting (ICDM, 2023)

Towards a Persistence Diagram that is Robust to Noise and Varied Densities. - Hang Zhang 003; Kaifeng Zhang; Kai Ming Ting; Ye Zhu 002 (ICML, 2023)

An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark. - Chen Li 027; Yang Cao 019; Ye Zhu 002; Jinli Zhang; Annisa; Debo Cheng; Huidong Tang; Shuai Jiang; Kenta Maruyama; Yasuhiko Morimoto (KSEM (4), 2023)

Kernel-Based Feature Extraction for Time Series Clustering. - Yuhang Liu; Yi Zhang; Yang Cao 019; Ye Zhu 002; Nayyar Zaidi; Chathu Ranaweera 001; Gang Li 009; Qingyi Zhu (KSEM (1), 2023)

An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering. - Baojie Zhang; Yang Cao 019; Ye Zhu 002; Sutharshan Rajasegarar; Gang Liu 021; Hong Xian Li; Maia Angelova; Gang Li 009 (PAKDD (1), 2023)

Clustering-enhanced stock price prediction using deep learning. - Man Li; Ye Zhu 002; Yuxin Shen; Maia Angelova (World Wide Web (WWW), 2023)

A novel feature-based framework enabling multi-type DDoS attacks detection. - Lu Zhou 003; Ye Zhu 002; Yong Xiang 001; Tianrui Zong (World Wide Web (WWW), 2023)

Isolation Kernel Estimators. - Kai Ming Ting; Takashi Washio; Jonathan R. Wells; Hang Zhang 003; Ye Zhu 002 (Knowl. Inf. Syst., 2023)

Modelling host population support for combat adversaries. - Mathew Zuparic; Sergiy Shelyag; Maia Angelova; Ye Zhu 002; Alexander C. Kalloniatis (J. Oper. Res. Soc., 2023)

Point-Set Kernel Clustering. - Kai Ming Ting; Jonathan R. Wells; Ye Zhu 002 (IEEE Trans. Knowl. Data Eng., 2023)

CFNet: Facial expression recognition via constraint fusion under multi-task joint learning network. - Junhao Xiao; Chenquan Gan; Qingyi Zhu; Ye Zhu 002; Gang Liu 021 (Appl. Soft Comput., 2023)

Kernel-based clustering via Isolation Distributional Kernel. - Ye Zhu 002; Kai Ming Ting (Inf. Syst., 2023)

The impact of isolation kernel on agglomerative hierarchical clustering algorithms. - Xin Han; Ye Zhu 002; Kai Ming Ting; Gang Li 009 (Pattern Recognit., 2023)

Anomaly detection of vectorized time series on aircraft battery data. - Moting Su; Wenjie Zhao; Ye Zhu 002; Donglan Zha; Yushu Zhang 001; Peng Xu (Expert Syst. Appl., 2023)

Social tie-driven coupling propagation of user awareness and information in Device-to-Device communications. - Chenquan Gan; Anqi Liu; Qingyi Zhu; Ye Zhu 002; Yong Xiang 001; Jun Liu (Comput. Networks, 2023)

Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint). - Yang Cao 019; Ye Zhu 002; Kai Ming Ting; Flora D. Salim; Hong Xian Li; Luxing Yang; Gang Li 009 (IJCAI, 2024)

Automatically Deriving Developers' Technical Expertise from the GitHub Social Network. - Yanchun Sun; Jiawei Wu; Xiaohan Zhao; Haizhou Xu; Sihan Wang; Jiaqi Zhang; Ye Zhu 002; Gang Huang 001 (ASE, 2024)

Robust Representation Learning for Image Clustering. - Pengcheng Jiang; Ye Zhu 002; Yang Cao 019; Gang Li 009; Gang Liu 021; Bo Yang 002 (KSEM (4), 2024)

Point Cloud Normal Estimation via Representation Learning on Height Maps. - Yang Yi; Dasith de Silva Edirimuni; Ye Zhu 002; Shang Gao 003; Zhiyong Wang 001; Antonio Robles-Kelly; Xuequan Lu (MMAsia, 2024)

Local Subsequence-Based Distribution for Time Series Clustering. - Lei Gong; Hang Zhang 003; Zongyou Liu; Kai Ming Ting; Yang Cao 019; Ye Zhu 002 (PAKDD (1), 2024)

Is it possible to find the single nearest neighbor of a query in high dimensions? - Kai Ming Ting; Takashi Washio; Ye Zhu 002; Yang Xu; Kaifeng Zhang (Artif. Intell., 2024)

Anomaly Detection Based on Isolation Mechanisms: A Survey. - Yang Cao 019; Haolong Xiang; Hang Zhang 003; Ye Zhu 002; Kai Ming Ting (CoRR, 2024)

A Survey on the Real Power of ChatGPT. - Ming Liu 028; Ran Liu 011; Ye Zhu 002; Hua Wang 002; Youyang Qu; Rongsheng Li; Yongpan Sheng; Wray L. Buntine (CoRR, 2024)

Distributed Clustering based on Distributional Kernel. - Hang Zhang 003; Yang Xu; Lei Gong; Ye Zhu 002; Kai Ming Ting (CoRR, 2024)

RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations. - Kaichen Zhou; Yang Cao 019; Taewhan Kim; Hao Zhao 002; Hao Dong 003; Kai Ming Ting; Ye Zhu 002 (CoRR, 2024)

A multimodal fusion network with attention mechanisms for visual-textual sentiment analysis. - Chenquan Gan; Xiang Fu; Qingdong Feng; Qingyi Zhu; Yang Cao 019; Ye Zhu 002 (Expert Syst. Appl., 2024)

Detecting Change Intervals with Isolation Distributional Kernel. - Yang Cao 019; Ye Zhu 002; Kai Ming Ting; Flora D. Salim; Hong Xian Li; Luxing Yang; Gang Li 009 (J. Artif. Intell. Res., 2024)

An Innovative Application of Isolation-Based Nearest Neighbor Ensembles on Hyperspectral Anomaly Detection. - Xiangyu Song; Guiwei Liu; Guohe Li; Ye Zhu 002; Peng Li; Guangmao Zhao; Chunyu Qi (IEEE Geosci. Remote. Sens. Lett., 2024)

A survey of dialogic emotion analysis: Developments, approaches and perspectives. - Chenquan Gan; Jiahao Zheng 007; Qingyi Zhu; Yang Cao 019; Ye Zhu 002 (Pattern Recognit., 2024)

Mitigating the Impact of a False Message Through Sequential Release of Clarifying Messages. - Kaifan Huang; Xiaofan Yang; Lu-Xing Yang; Ye Zhu 002; Gang Li 009 (IEEE Trans. Netw. Sci. Eng., 2024)

Automation and Orchestration of Zero Trust Architecture: Potential Solutions and Challenges. - Yang Cao 019; Shiva Raj Pokhrel; Ye Zhu 002; Robin Doss; Gang Li 009 (Mach. Intell. Res., 2024)

A new distributional treatment for time series anomaly detection. - Kai Ming Ting; Zongyou Liu; Lei Gong; Hang Zhang 003; Ye Zhu 002 (VLDB J., 2024)

Ripple Knowledge Graph Convolutional Networks for Recommendation Systems. - Chen Li 027; Yang Cao 019; Ye Zhu 002; Debo Cheng; Chengyuan Li; Yasuhiko Morimoto (Mach. Intell. Res., 2024)

Kernel-based iVAT with adaptive cluster extraction. - Baojie Zhang; Ye Zhu 002; Yang Cao 019; Sutharshan Rajasegarar; Gang Li 009; Gang Liu 021 (Knowl. Inf. Syst., 2024)

DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion. - Yinghui Li; Qianyu Zhou 001; Jingyu Gong; Ye Zhu 002; Richard Dazeley; Xinkui Zhao; Xuequan Lu (AAAI, 2025)

CANTER: A Novel Causal Model for Tourism Demand Forecasting. - Xin Han; Haiyang Xia; Ye Zhu 002; Gang Li 009; Rob Law 001 (PAKDD (6), 2025)

Mining area skyline objects from map-based big data using Apache Spark framework. - Chen Li 027; Ye Zhu 002; Yang Cao 019; Jinli Zhang; Annisa; Debo Cheng; Yasuhiko Morimoto (Array, 2025)

Reversible image resolution degradation supporting privacy protection and usability management in the cloud for smart cities. - Ruoyu Zhao; Moting Su; Feng'en Li; Yongming Zhang; Ye Zhu 002; Yushu Zhang 001 (Expert Syst. Appl., 2025)

Revisiting streaming anomaly detection: benchmark and evaluation. - Yang Cao 019; Yixiao Ma; Ye Zhu 002; Kai Ming Ting (Artif. Intell. Rev., 2025)

A Reinforcement Learning-Driven Transformer GAN for Molecular Generation. - Chen Li 027; Huidong Tang; Ye Zhu 002; Yoshihiro Yamanishi (CoRR, 2025)