Near Real-Time Federated Machine Learning Approach Over Chest Computed Tomography for COVID-19 Diagnosis. - Yang Cao 019 (ATIS, 2021)

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)

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)

A Data-Driven Framework for Identifying Abnormal Status in Natural Gas Wells. - Yang Cao 019; Yixiao Ma; Xichen Tang; Razeen A Rasheed; Hong Xian Li (ADMA (1), 2024)

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)

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)

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)

Anomaly Detection Based on Isolation Mechanisms: A Survey. - Yang Cao 019; Haolong Xiang; Hang Zhang 003; 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)

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)

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)

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)

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)

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

TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection. - Yang Cao 019; Sikun Yang; Chen Li 027; Haolong Xiang; Lianyong Qi; Bo Liu; Rongsheng Li; Ming Liu (CoRR, 2025)