Ye Zhu - RankMe

104 papers A* 11C 4Journal 75Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automatically Deriving Developers' Technical Expertise from the GitHub Social Network. ACM Trans. Softw. Eng. Methodol. Yanchun Sun, Jiawei Wu, Xiaohan Zhao, Haizhou Xu, Ye Zhu, Zhenpeng Chen, Sihan Wang, Huizhen Jiang, Gang Huang
2026	A*	`conf`	DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion. AAAI Yinghui Li, Qianyu Zhou, Di Shao, Hao Yang, Ye Zhu, Richard Dazeley, Xuequan Lu
2026	J	`jnl`	Kernel-bounded clustering: Achieving the objective of spectral clustering without eigendecomposition. Artif. Intell. Hang Zhang, Kai Ming Ting, Ye Zhu
2026	J	`jnl`	Macro-expression-guided micro-expression recognition: A motion similarity perspective. Pattern Recognit. Chenquan Gan, Junhao Xiao, Qingyi Zhu, Ye Zhu
2026	J	`jnl`	Mass Distribution versus Density Distribution in the Context of Clustering. CoRR Kai Ming Ting, Ye Zhu, Hang Zhang, Tianrun Liang
2026	A*	`conf`	SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection. AAAI Yang Xu, Hang Zhang, Yixiao Ma, Ye Zhu, Kai Ming Ting
2025	J	`jnl`	A Reinforcement Learning-Driven Transformer GAN for Molecular Generation. CoRR Chen Li, Huidong Tang, Ye Zhu, Yoshihiro Yamanishi
2025	J	`jnl`	Anomaly Detection Based on Isolation Mechanisms: A Survey. Mach. Intell. Res. Yang Cao, Haolong Xiang, Hang Zhang, Ye Zhu, Kai Ming Ting
2025	—	`conf`	CANTER: A Novel Causal Model for Tourism Demand Forecasting. PAKDD (6) Xin Han, Haiyang Xia, Ye Zhu, Gang Li, Rob Law
2025	A*	`conf`	DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion. AAAI Yinghui Li, Qianyu Zhou, Jingyu Gong, Ye Zhu, Richard Dazeley, Xinkui Zhao, Xuequan Lu
2025	J	`jnl`	DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion. CoRR Yinghui Li, Qianyu Zhou, Di Shao, Hao Yang, Ye Zhu, Richard Dazeley, Xuequan Lu
2025	—	`conf`	Generating Feedback for School Students Essay with Large Language Models. KSEM (3) Dan Zhang, Thuong Hoang, Ye Zhu, Rui Wang, Paula Crouch
2025	J	`jnl`	Mining area skyline objects from map-based big data using Apache Spark framework. Array Chen Li, Ye Zhu, Yang Cao, Jinli Zhang, Annisa, Debo Cheng, Yasuhiko Morimoto
2025	J	`jnl`	Reversible image resolution degradation supporting privacy protection and usability management in the cloud for smart cities. Expert Syst. Appl. Ruoyu Zhao, Moting Su, Feng'en Li, Yongming Zhang, Ye Zhu, Yushu Zhang
2025	J	`jnl`	Revisiting streaming anomaly detection: benchmark and evaluation. Artif. Intell. Rev. Yang Cao, Yixiao Ma, Ye Zhu, Kai Ming Ting
2025	J	`jnl`	SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection. CoRR Yang Xu, Hang Zhang, Yixiao Ma, Ye Zhu, Kai Ming Ting
2025	—	`conf`	Streaming Hierarchical Clustering for Emerging New Class. KSEM (1) Yixiao Ma, Ye Zhu, Yang Xu, Kai Ming Ting
2025	J	`jnl`	Towards a Robust Persistence Diagram via Data-dependent Kernel. J. Artif. Intell. Res. Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu
2024	J	`jnl`	A Survey on the Real Power of ChatGPT. CoRR Ming Liu, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, Wray L. Buntine
2024	J	`jnl`	A multimodal fusion network with attention mechanisms for visual-textual sentiment analysis. Expert Syst. Appl. Chenquan Gan, Xiang Fu, Qingdong Feng, Qingyi Zhu, Yang Cao, Ye Zhu
2024	J	`jnl`	A new distributional treatment for time series anomaly detection. VLDB J. Kai Ming Ting, Zongyou Liu, Lei Gong, Hang Zhang, Ye Zhu
2024	J	`jnl`	A survey of dialogic emotion analysis: Developments, approaches and perspectives. Pattern Recognit. Chenquan Gan, Jiahao Zheng, Qingyi Zhu, Yang Cao, Ye Zhu
2024	J	`jnl`	An Innovative Application of Isolation-Based Nearest Neighbor Ensembles on Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. Xiangyu Song, Guiwei Liu, Guohe Li, Ye Zhu, Peng Li, Guangmao Zhao, Chunyu Qi
2024	J	`jnl`	An Online Automatic Modulation Classification Scheme Based on Isolation Distributional Kernel. CoRR Xinpeng Li, Zile Jiang, Kai Ming Ting, Ye Zhu
2024	J	`jnl`	Anomaly Detection Based on Isolation Mechanisms: A Survey. CoRR Yang Cao, Haolong Xiang, Hang Zhang, Ye Zhu, Kai Ming Ting
2024	A*	`conf`	Automatically Deriving Developers' Technical Expertise from the GitHub Social Network. ASE Yanchun Sun, Jiawei Wu, Xiaohan Zhao, Haizhou Xu, Sihan Wang, Jiaqi Zhang, Ye Zhu, Gang Huang
2024	J	`jnl`	Automation and Orchestration of Zero Trust Architecture: Potential Solutions and Challenges. Mach. Intell. Res. Yang Cao, Shiva Raj Pokhrel, Ye Zhu, Robin Doss, Gang Li
2024	J	`jnl`	DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion. CoRR Yinghui Li, Qianyu Zhou, Jingyu Gong, Ye Zhu, Richard Dazeley, Xinkui Zhao, Xuequan Lu
2024	J	`jnl`	Detecting Change Intervals with Isolation Distributional Kernel. J. Artif. Intell. Res. Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li
2024	A*	`conf`	Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint). IJCAI Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li
2024	J	`jnl`	Distributed Clustering based on Distributional Kernel. CoRR Hang Zhang, Yang Xu, Lei Gong, Ye Zhu, Kai Ming Ting
2024	J	`jnl`	Is it possible to find the single nearest neighbor of a query in high dimensions? Artif. Intell. Kai Ming Ting, Takashi Washio, Ye Zhu, Yang Xu, Kaifeng Zhang
2024	J	`jnl`	Kernel-based iVAT with adaptive cluster extraction. Knowl. Inf. Syst. Baojie Zhang, Ye Zhu, Yang Cao, Sutharshan Rajasegarar, Gang Li, Gang Liu
2024	—	`conf`	Local Subsequence-Based Distribution for Time Series Clustering. PAKDD (1) Lei Gong, Hang Zhang, Zongyou Liu, Kai Ming Ting, Yang Cao, Ye Zhu
2024	J	`jnl`	Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework. CoRR Chen Li, Ye Zhu, Yang Cao, Jinli Zhang, Annisa, Debo Cheng, Yasuhiko Morimoto
2024	J	`jnl`	Mitigating the Impact of a False Message Through Sequential Release of Clarifying Messages. IEEE Trans. Netw. Sci. Eng. Kaifan Huang, Xiaofan Yang, Lu-Xing Yang, Ye Zhu, Gang Li
2024	—	`conf`	Point Cloud Normal Estimation via Representation Learning on Height Maps. MMAsia Yang Yi, Dasith de Silva Edirimuni, Ye Zhu, Shang Gao, Zhiyong Wang, Antonio Robles-Kelly, Xuequan Lu
2024	J	`jnl`	RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations. CoRR Kaichen Zhou, Yang Cao, Taewhan Kim, Hao Zhao, Hao Dong, Kai Ming Ting, Ye Zhu
2024	J	`jnl`	Ripple Knowledge Graph Convolutional Networks for Recommendation Systems. Mach. Intell. Res. Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto
2024	—	`conf`	Robust Representation Learning for Image Clustering. KSEM (4) Pengcheng Jiang, Ye Zhu, Yang Cao, Gang Li, Gang Liu, Bo Yang
2023	J	`jnl`	A novel feature-based framework enabling multi-type DDoS attacks detection. World Wide Web (WWW) Lu Zhou, Ye Zhu, Yong Xiang, Tianrui Zong
2023	—	`conf`	An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark. KSEM (4) Chen Li, Yang Cao, Ye Zhu, Jinli Zhang, Annisa, Debo Cheng, Huidong Tang, Shuai Jiang, Kenta Maruyama, Yasuhiko Morimoto
2023	—	`conf`	An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering. PAKDD (1) Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Gang Liu, Hong Xian Li, Maia Angelova, Gang Li
2023	J	`jnl`	Anomaly detection of vectorized time series on aircraft battery data. Expert Syst. Appl. Moting Su, Wenjie Zhao, Ye Zhu, Donglan Zha, Yushu Zhang, Peng Xu
2023	J	`jnl`	CFNet: Facial expression recognition via constraint fusion under multi-task joint learning network. Appl. Soft Comput. Junhao Xiao, Chenquan Gan, Qingyi Zhu, Ye Zhu, Gang Liu
2023	J	`jnl`	Clustering-enhanced stock price prediction using deep learning. World Wide Web (WWW) Man Li, Ye Zhu, Yuxin Shen, Maia Angelova
2023	A*	`conf`	Distribution-Based Trajectory Clustering. ICDM Zijing Wang, Ye Zhu, Kai Ming Ting
2023	J	`jnl`	Distribution-Based Trajectory Clustering. CoRR Zijing Wang, Ye Zhu, Kai Ming Ting
2023	J	`jnl`	Isolation Kernel Estimators. Knowl. Inf. Syst. Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang, Ye Zhu
2023	—	`conf`	Kernel-Based Feature Extraction for Time Series Clustering. KSEM (1) Yuhang Liu, Yi Zhang, Yang Cao, Ye Zhu, Nayyar Zaidi, Chathu Ranaweera, Gang Li, Qingyi Zhu
2023	J	`jnl`	Kernel-based clustering via Isolation Distributional Kernel. Inf. Syst. Ye Zhu, Kai Ming Ting
2023	J	`jnl`	Modelling host population support for combat adversaries. J. Oper. Res. Soc. Mathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu, Alexander C. Kalloniatis
2023	J	`jnl`	Point-Set Kernel Clustering. IEEE Trans. Knowl. Data Eng. Kai Ming Ting, Jonathan R. Wells, Ye Zhu
2023	J	`jnl`	Ripple Knowledge Graph Convolutional Networks For Recommendation Systems. CoRR Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto
2023	J	`jnl`	Social tie-driven coupling propagation of user awareness and information in Device-to-Device communications. Comput. Networks Chenquan Gan, Anqi Liu, Qingyi Zhu, Ye Zhu, Yong Xiang, Jun Liu
2023	J	`jnl`	The impact of isolation kernel on agglomerative hierarchical clustering algorithms. Pattern Recognit. Xin Han, Ye Zhu, Kai Ming Ting, Gang Li
2023	A*	`conf`	Towards a Persistence Diagram that is Robust to Noise and Varied Densities. ICML Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu
2022	J	`jnl`	A New Distributional Treatment for Time Series and An Anomaly Detection Investigation. Proc. VLDB Endow. Kai Ming Ting, Zongyou Liu, Hang Zhang, Ye Zhu
2022	J	`jnl`	A feature selection-based method for DDoS attack flow classification. Future Gener. Comput. Syst. Lu Zhou, Ye Zhu, Tianrui Zong, Yong Xiang
2022	J	`jnl`	Detecting Change Intervals with Isolation Distributional Kernel. CoRR Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Gang Li
2022	J	`jnl`	Hierarchical clustering that takes advantage of both density-peak and density-connectivity. Inf. Syst. Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova
2022	—	`conf`	Image Anomaly Detection With Semantic- Enhanced Augmentation and Distributional Kernel. HPCC/DSS/SmartCity/DependSys Mingxi Wang, Ye Zhu, Gang Li, Gang Liu, Bo Yang
2022	A*	`conf`	Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract). IJCAI Ye Zhu, Kai Ming Ting
2022	J	`jnl`	Noise-free thumbnail-preserving image encryption based on MSB prediction. Inf. Sci. Ye Zhu, Ruoyu Zhao, Yushu Zhang, Xiangli Xiao, Rushi Lan, Yong Xiang
2022	A*	`conf`	Streaming Hierarchical Clustering Based on Point-Set Kernel. KDD Xin Han, Ye Zhu, Kai Ming Ting, De-Chuan Zhan, Gang Li
2022	J	`jnl`	Weighted dynamic time warping for traffic flow clustering. Neurocomputing Man Li, Ye Zhu, Taige Zhao, Maia Angelova
2021	C	`conf`	A Comprehensive Feature Importance Evaluation for DDoS Attacks Detection. ADMA Lu Zhou, Ye Zhu, Yong Xiang
2021	J	`jnl`	Adversarial decision strategies in multiple network phased oscillators: The Blue-Green-Red Kuramoto-Sakaguchi model. Commun. Nonlinear Sci. Numer. Simul. Mathew Zuparic, Maia Angelova, Ye Zhu, Alexander C. Kalloniatis
2021	J	`jnl`	Anomaly detection of aircraft lead-acid battery. Qual. Reliab. Eng. Int. Wenjie Zhao, Yushu Zhang, Ye Zhu, Peng Xu
2021	J	`jnl`	Breaking the curse of dimensionality with Isolation Kernel. CoRR Kai Ming Ting, Takashi Washio, Ye Zhu, Yang Xu
2021	J	`jnl`	CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities. Pattern Recognit. Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova
2021	C	`conf`	Identification of Stock Market Manipulation with Deep Learning. ADMA Jillian Tallboys, Ye Zhu, Sutharshan Rajasegarar
2021	J	`jnl`	Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel. J. Artif. Intell. Res. Ye Zhu, Kai Ming Ting
2021	C	`conf`	Systematic evaluation of abnormal detection methods on gas well sensor data. ISCC Xichen Tang, Jinlong Wang, Ye Zhu, Robin Doss, Xin Han
2020	J	`jnl`	A technical survey on statistical modelling and design methods for crowdsourcing quality control. Artif. Intell. Yuan Jin, Mark J. Carman, Ye Zhu, Yong Xiang
2020	J	`jnl`	Automated Method for Detecting Acute Insomnia Using Multi-Night Actigraphy Data. IEEE Access Maia Angelova, Chandan K. Karmakar, Ye Zhu, Sean P. A. Drummond, Jason Ellis
2020	J	`jnl`	Cloud-assisted privacy-conscious large-scale Markowitz portfolio. Inf. Sci. Yushu Zhang, Jin Jiang, Yong Xiang, Ye Zhu, Liangtian Wan, Xiyuan Xie
2020	J	`jnl`	Clustering based on Point-Set Kernel. CoRR Kai Ming Ting, Jonathan R. Wells, Ye Zhu
2020	J	`jnl`	Correlative decision preference information consistency check and comprehensive dominance representation method. J. Intell. Fuzzy Syst. Jian-Zhang Wu, Rui-Jie Xi, Ye Zhu
2020	J	`jnl`	Density estimates on the unit simplex and calculation of the mode of a sample. Int. J. Intell. Syst. Maia Angelova, Gleb Beliakov, Sergiy Shelyag, Ye Zhu
2020	J	`jnl`	Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer. IEEE Access Shitanshu Kusmakar, Sergiy Shelyag, Ye Zhu, Dan Dwyer, Paul B. Gastin, Maia Angelova
2020	J	`jnl`	The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms. CoRR Xin Han, Ye Zhu, Kai Ming Ting, Gang Li
2019	J	`jnl`	Commutative fragile zero-watermarking and encryption for image integrity protection. Multim. Tools Appl. Ming Li, Di Xiao, Ye Zhu, Yushu Zhang, Lin Sun
2019	J	`jnl`	Density-based clustering using approximate natural neighbours. Appl. Soft Comput. Maia Angelova, Gleb Beliakov, Ye Zhu
2019	J	`jnl`	Improving Stochastic Neighbour Embedding fundamentally with a well-defined data-dependent kernel. CoRR Ye Zhu, Kai Ming Ting
2019	J	`jnl`	Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms. Mach. Learn. Kai Ming Ting, Ye Zhu, Mark J. Carman, Yue Zhu, Takashi Washio, Zhi-Hua Zhou
2019	A*	`conf`	Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering. AAAI Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee
2019	J	`jnl`	Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering. CoRR Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee
2018	—	`conf`	A Distance Scaling Method to Improve Density-Based Clustering. PAKDD (3) Ye Zhu, Kai Ming Ting, Maia Angelova
2018	J	`jnl`	A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control. CoRR Yuan Jin, Mark J. Carman, Ye Zhu, Yong Xiang
2018	J	`jnl`	CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets. CoRR Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova
2018	C	`conf`	Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. ACML Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine
2018	J	`jnl`	Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. CoRR Yuan Jin, Mark James Carman, Ye Zhu, Wray L. Buntine
2018	J	`jnl`	Grouping points by shared subspaces for effective subspace clustering. Pattern Recognit. Ye Zhu, Kai Ming Ting, Mark J. Carman
2018	J	`jnl`	Hierarchical clustering that takes advantage of both density-peak and density-connectivity. CoRR Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova
2018	J	`jnl`	Isolation-based anomaly detection using nearest-neighbor ensembles. Comput. Intell. Tharindu R. Bandaragoda, Kai Ming Ting, David W. Albrecht, Fei Tony Liu, Ye Zhu, Jonathan R. Wells
2018	—	`conf`	Leveraging Label Category Relationships in Multi-class Crowdsourcing. PAKDD (2) Yuan Jin, Lan Du, Ye Zhu, Mark J. Carman
2018	J	`jnl`	Local contrast as an effective means to robust clustering against varying densities. Mach. Learn. Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu
2018	J	`jnl`	User Activity Pattern Analysis in Telecare Data. IEEE Access Maia Angelova, Jeremy Ellman, Helen Gibson, Paul Oman, Sutharshan Rajasegarar, Ye Zhu
2017	—	`—`	Efficient Identification of Arbitrarily Shaped and Varied Density Clusters in High-dimensional Data. Ye Zhu
2016	J	`jnl`	Commentary: a decomposition of the outlier detection problem into a set of supervised learning problems. Mach. Learn. Ye Zhu, Kai Ming Ting
2016	J	`jnl`	Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognit. Ye Zhu, Kai Ming Ting, Mark James Carman
2016	A*	`conf`	Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD Kai Ming Ting, Ye Zhu, Mark James Carman, Yue Zhu, Zhi-Hua Zhou
2014	—	`conf`	Bivariate probability-based anomaly detection. BESC Hua Lou, Ye Zhu