Event-Driven Semantic Service Discovery Based on Word Embeddings. - Fagui Liu; Dacheng Deng; Jun Jiang 003; Quan Tang 001 (IEEE Access, 2018)

Attention-guided Chained Context Aggregation for Semantic Segmentation. - Quan Tang 001; Fagui Liu; Jun Jiang 003; Yu Zhang 144 (CoRR, 2020)

Attention-guided chained context aggregation for semantic segmentation. - Quan Tang 001; Fagui Liu; Tong Zhang 015; Jun Jiang 003; Yu Zhang 144 (Image Vis. Comput., 2021)

Energy Efficient Resource Scheduling in Cloud Computing Based on Task Arrival Model. - Bin Wang 048; Yongheng Liu; Fan Zhang; Jun Jiang 003 (GLOBECOM (Workshops), 2022)

Alleviating Overconfident Failure Predictions via Masking Predictive Logits in Semantic Segmentation. - Quan Tang 001; Fagui Liu; Jun Jiang 003; Yu Zhang 144; Xuhao Tang 001 (ICANN (2), 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)

Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things. - Jun Jiang 003; Fagui Liu; Wing W. Y. Ng; Quan Tang 001; Weizheng Wang 001; Quoc-Viet Pham (IEEE Trans. Green Commun. Netw., 2022)

EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene Segmentation. - Quan Tang 001; Fagui Liu; Jun Jiang 003; Yu Zhang 144 (IEEE Trans. Intell. Transp. Syst., 2022)

Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene Segmentation. - Quan Tang 001; Fagui Liu; Tong Zhang 015; Jun Jiang 003; Yu Zhang 144; Boyuan Zhu; Xuhao Tang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Category Feature Transformer for Semantic Segmentation. - Quan Tang 001; Chuanjian Liu; Fagui Liu; Yifan Liu 001; Jun Jiang 003; Bowen Zhang 009; Kai Han 002; Yunhe Wang 001 (CoRR, 2023)

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)

Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks. - Chao Li 019; Fagui Liu; Bin Wang 048; C. L. Philip Chen; Xuhao Tang 001; Jun Jiang 003; Jie Liu 002 (IEEE Trans. Intell. Veh., 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)

Workflow scheduling based on asynchronous advantage actor-critic algorithm in multi-cloud environment. - Xuhao Tang 001; Fagui Liu; Bin Wang 048; Dishi Xu; Jun Jiang 003; Qingbo Wu 003; C. L. Philip Chen (Expert Syst. Appl., 2024)

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)

Increase the sensitivity of moderate examples for semantic image segmentation. - Quan Tang 001; Fagui Liu; Dengke Zhang; Jun Jiang 003; Xuhao Tang 001; C. L. Philip Chen (Image Vis. Comput., 2025)

Minimum variance weighted broad cascade network structure for imbalanced classification. - Wuxing Chen; Zhiwen Yu 002; Kaixiang Yang; Jun Jiang 003; Fan Zhang; C. L. Philip Chen (Knowl. Based Syst., 2025)

Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation. - Quan Tang 001; Chuanjian Liu; Fagui Liu; Jun Jiang 003; Bowen Zhang 009; C. L. Philip Chen; Kai Han 002; Yunhe Wang 001 (IEEE Trans. Image Process., 2025)

LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment. - Xuhao Tang 001; Fagui Liu; Dishi Xu; Jun Jiang 003; Quan Tang 001; Bin Wang 048; Qingbo Wu 003; C. L. Philip Chen (IEEE Trans. Consumer Electron., 2025)

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)