Exploiting Model of Personality and Emotion of Learning Companion Agent. - Taihua Li; Yuhui Qiu; Peng Yue; Guoxiang Zhong (AICCSA, 2007)

Collaborative Argumentation on the Web - A Dialogue Game Approach. - Guoxiang Zhong; Tangming Yuan (ICALT, 2013)

Gaussian Kernel Dynamic Similarity Matrix Based Sparse Subspace Clustering for Hyperspectral Images. - Yonghong Long; Xiuqin Deng; Guoxiang Zhong; Juan Fan; Fuchun Liu (CIS, 2019)

Active Informative Pairwise Constraint Formulation Algorithm for Constraint-Based Clustering. - Guoxiang Zhong; Xiuqin Deng; Shengbing Xu (IEEE Access, 2019)

Artificial Intelligence Online Laboratory Based on Docker Cluster and Delay Queue. - Bocheng Liu; Jieyu Zheng; Yidong Huang; Tian Huang; Wenyi Feng; Guoxiang Zhong (ATCI, 2020)

The Exploration of the Future Teaching Mode in Post-pandemic Higher Education. - Tangming Yuan; Siyuan Ji; Guoxiang Zhong (ICDEL, 2022)

A two-stage scheduling method for deadline-constrained task in cloud computing. - Xiaojian He; Junmin Shen; Fagui Liu; Bin Wang 048; Guoxiang Zhong; Jun Jiang 003 (Clust. Comput., 2022)

A dynamic ensemble algorithm for anomaly detection in IoT imbalanced data streams. - Jun Jiang 003; Fagui Liu; Yongheng Liu; Quan Tang 001; Bin Wang 048; Guoxiang Zhong; Weizheng Wang 001 (Comput. Commun., 2022)

A multi-output prediction model for physical machine resource usage in cloud data centers. - Yongde Zhang; Fagui Liu; Bin Wang 048; Weiwei Lin 001; Guoxiang Zhong; Minxian Xu; Keqin Li 001 (Future Gener. Comput. Syst., 2022)

AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing. - Jun Jiang 003; Fagui Liu; Wing W. Y. Ng; Quan Tang 001; Guoxiang Zhong; Xuhao Tang 001; Bin Wang 048 (Comput. Commun., 2023)

TraceGra: A trace-based anomaly detection for microservice using graph deep learning. - Jian Chen; Fagui Liu; Jun Jiang 003; Guoxiang Zhong; Dishi Xu; Zhuanglun Tan; Shangsong Shi (Comput. Commun., 2023)

Refining one-class representation: A unified transformer for unsupervised time-series anomaly detection. - Guoxiang Zhong; Fagui Liu; Jun Jiang 003; Bin Wang 048; C. L. Philip Chen (Inf. Sci., 2024)

CauseFormer: Interpretable Anomaly Detection With Stepwise Attention for Cloud Service. - Guoxiang Zhong; Fagui Liu; Jun Jiang 003; C. L. Philip Chen (IEEE Trans. Netw. Serv. Manag., 2024)

Detecting Cloud Anomaly via Broad Network-Based Contrastive Autoencoder. - Guoxiang Zhong; Fagui Liu; Jun Jiang 003; Bin Wang 048; Xi Yao; C. L. Philip Chen (IEEE Trans. Netw. Serv. Manag., 2024)

Incremental Semi-Supervised Learning for Data Streams Classification in Internet of Things. - Jun Jiang 003; Bin Wang 048; Quan Tang 001; Guoxiang Zhong; Xuhao Tang 001; Joel J. P. C. Rodrigues (IEEE Trans. Netw. Serv. Manag., 2025)