Ye Zhu 0002 - researchr alias

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Viewing Publication 1 - 40 from 40

2025

Revisiting streaming anomaly detection: benchmark and evaluationYang Cao 0019, Yixiao Ma, Ye Zhu 0002, Kai Ming Ting. air, 58(1):8, January 2025. [doi]

Mining area skyline objects from map-based big data using Apache Spark frameworkChen Li 0027, Ye Zhu 0002, Yang Cao 0019, Jinli Zhang, Annisa, Debo Cheng, Yasuhiko Morimoto. array, 25:100373, 2025. [doi]

2024

Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint)Yang Cao 0011, Ye Zhu 0002, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li 0009. IJCAI 2024: 8476 [doi]

Ripple Knowledge Graph Convolutional Networks for Recommendation SystemsChen Li 0027, Yang Cao, Ye Zhu 0002, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto. ijautcomp, 21(3):481-494, June 2024. [doi]

Automation and Orchestration of Zero Trust Architecture: Potential Solutions and ChallengesYang Cao, Shiva Raj Pokhrel, Ye Zhu 0002, Robin Doss, Gang Li 0009. ijautcomp, 21(2):294-317, April 2024. [doi]

Detecting Change Intervals with Isolation Distributional KernelYang Cao, Ye Zhu 0002, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li 0009. jair, 79:273-306, 2024. [doi]

A survey of dialogic emotion analysis: Developments, approaches and perspectivesChenquan Gan, Jiahao Zheng, Qingyi Zhu, Yang Cao 0011, Ye Zhu 0002. PR, 156:110794, 2024. [doi]

A multimodal fusion network with attention mechanisms for visual-textual sentiment analysisChenquan Gan, Xiang Fu, Qingdong Feng, Qingyi Zhu, Yang Cao, Ye Zhu 0002. eswa, 242:122731, 2024. [doi]

Local Subsequence-Based Distribution for Time Series ClusteringLei Gong, Hang Zhang, Zongyou Liu, Kai Ming Ting, Yang Cao, Ye Zhu 0002. pakdd 2024: 259-270 [doi]

Mitigating the Impact of a False Message Through Sequential Release of Clarifying MessagesKaifan Huang, Xiaofan Yang, Lu-Xing Yang, Ye Zhu 0002, Gang Li 0009. tnse, 11(2):1785-1798, March - April 2024. [doi]

Robust Representation Learning for Image ClusteringPengcheng Jiang, Ye Zhu 0002, Yang Cao, Gang Li, Gang Liu 0021, Bo Yang 0002. ksem 2024: 437-448 [doi]

Is it possible to find the single nearest neighbor of a query in high dimensions?Kai Ming Ting, Takashi Washio, Ye Zhu 0002, Yang Xu, Kaifeng Zhang. ai, 336:104206, 2024. [doi]

A new distributional treatment for time series anomaly detectionKai Ming Ting, Zongyou Liu, Lei Gong, Hang Zhang, Ye Zhu 0002. vldb, 33(3):753-780, May 2024. [doi]

Kernel-based iVAT with adaptive cluster extractionBaojie Zhang, Ye Zhu 0002, Yang Cao 0011, Sutharshan Rajasegarar, Gang Li 0009, Gang Liu 0021. kais, 66(11):7057-7076, November 2024. [doi]

2023

Kernel-based clustering via Isolation Distributional KernelYe Zhu 0002, Kai Ming Ting. is, 117:102212, July 2023. [doi]

A novel feature-based framework enabling multi-type DDoS attacks detectionLu Zhou 0003, Ye Zhu 0002, Yong Xiang 0001, Tianrui Zong. www, 26(1):163-185, January 2023. [doi]

Social tie-driven coupling propagation of user awareness and information in Device-to-Device communicationsChenquan Gan, Anqi Liu, Qingyi Zhu, Ye Zhu 0002, Yong Xiang 0001, Jun Liu. cn, 237:110087, December 2023. [doi]

The impact of isolation kernel on agglomerative hierarchical clustering algorithmsXin Han, Ye Zhu 0002, Kai Ming Ting, Gang Li. PR, 139:109517, July 2023. [doi]

Clustering-enhanced stock price prediction using deep learningMan Li, Ye Zhu 0002, Yuxin Shen, Maia Angelova. www, 26(1):207-232, January 2023. [doi]

Kernel-Based Feature Extraction for Time Series ClusteringYuhang Liu, Yi Zhang, Yang Cao, Ye Zhu 0002, Nayyar Zaidi, Chathu Ranaweera, Gang Li, Qingyi Zhu. ksem 2023: 276-283 [doi]

Anomaly detection of vectorized time series on aircraft battery dataMoting Su, WenJie Zhao, Ye Zhu 0002, Donglan Zha, Yushu Zhang, Peng Xu. eswa, 227:120219, October 2023. [doi]

Point-Set Kernel ClusteringKai Ming Ting, Jonathan R. Wells, Ye Zhu 0002. tkde, 35(5):5147-5158, May 2023. [doi]

Isolation Kernel EstimatorsKai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang, Ye Zhu 0002. kais, 65(2):759-787, February 2023. [doi]

Distribution-Based Trajectory ClusteringZi Jing Wang, Ye Zhu 0002, Kai Ming Ting. icdm 2023: 1379-1384 [doi]

CFNet: Facial expression recognition via constraint fusion under multi-task joint learning networkJunhao Xiao, Chenquan Gan, Qingyi Zhu, Ye Zhu 0002, Gang Liu 0021. asc, 141:110312, July 2023. [doi]

Towards a Persistence Diagram that is Robust to Noise and Varied DensitiesHang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu 0002. icml 2023: 41952-41972 [doi]

An Improved Visual Assessment with Data-Dependent Kernel for Stream ClusteringBaojie Zhang, Yang Cao, Ye Zhu 0002, Sutharshan Rajasegarar, Gang Liu, Hong Xian Li, Maia Angelova, Gang Li. pakdd 2023: 197-209 [doi]

Modelling host population support for combat adversariesMathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu 0002, Alexander C. Kalloniatis. jors, 74(3):928-943, March 2023. [doi]

2022

Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract)Ye Zhu 0002, Kai Ming Ting. IJCAI 2022: 5792-5796 [doi]

Hierarchical clustering that takes advantage of both density-peak and density-connectivityYe Zhu 0002, Kai Ming Ting, Yuan Jin, Maia Angelova. is, 103:101871, 2022. [doi]

Noise-free thumbnail-preserving image encryption based on MSB predictionYe Zhu 0002, Ruoyu Zhao, Yushu Zhang 0001, Xiangli Xiao, Rushi Lan, Yong Xiang 0001. isci, 617:395-415, 2022. [doi]

A feature selection-based method for DDoS attack flow classificationLu Zhou 0003, Ye Zhu 0002, Tianrui Zong, Yong Xiang 0001. fgcs, 132:67-79, 2022. [doi]

Weighted dynamic time warping for traffic flow clusteringMan Li, Ye Zhu 0002, Taige Zhao, Maia Angelova. ijon, 472:266-279, 2022. [doi]

A New Distributional Treatment for Time Series and An Anomaly Detection InvestigationKai Ming Ting, Zongyou Liu, Hang Zhang, Ye Zhu 0002. pvldb, 15(11):2321-2333, 2022. [doi]

Image Anomaly Detection With Semantic- Enhanced Augmentation and Distributional KernelMingxi Wang, Ye Zhu 0002, Gang Li, Gang Liu, Bo Yang. hpcc 2022: 163-170 [doi]

2021

2017

Efficient Identification of Arbitrarily Shaped and Varied Density Clusters in High-dimensional DataYe Zhu 0002. PhD thesis, Monash University, Australia, 2017. [doi]

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