Jun Jiang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Anomaly Detection

Top Venues

Comput. Commun.

IEEE Trans. Netw. Serv. Manag.

IEEE Trans. Intell. Transp. Syst.

Publications

Guoxiang Zhong, Fagui Liu, Jun Jiang, Bin Wang, C. L. Philip Chen
Refining one-class representation: A unified transformer for unsupervised time-series anomaly detection. Inf. Sci. 656 (2024)
Guoxiang Zhong, Fagui Liu, Jun Jiang, Bin Wang, Xi Yao, C. L. Philip Chen
Detecting Cloud Anomaly via Broad Network-Based Contrastive Autoencoder. IEEE Trans. Netw. Serv. Manag. 21 (3) (2024)
Guoxiang Zhong, Fagui Liu, Jun Jiang, C. L. Philip Chen
CauseFormer: Interpretable Anomaly Detection With Stepwise Attention for Cloud Service. IEEE Trans. Netw. Serv. Manag. 21 (1) (2024)
Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang
Category Feature Transformer for Semantic Segmentation. CoRR (2023)
Jian Chen, Fagui Liu, Jun Jiang, Guoxiang Zhong, Dishi Xu, Zhuanglun Tan, Shangsong Shi
TraceGra: A trace-based anomaly detection for microservice using graph deep learning. Comput. Commun. 204 (2023)
Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Guoxiang Zhong, Xuhao Tang, Bin Wang
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing. Comput. Commun. 200 (2023)
Chao Li, Fagui Liu, Bin Wang, C. L. Philip Chen, Xuhao Tang, Jun Jiang, Jie Liu
Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks. IEEE Trans. Intell. Veh. 8 (3) (2023)
Bin Wang, Yongheng Liu, Fan Zhang, Jun Jiang
Energy Efficient Resource Scheduling in Cloud Computing Based on Task Arrival Model. GLOBECOM (Workshops) (2022)
Xiaojian He, Junmin Shen, Fagui Liu, Bin Wang, Guoxiang Zhong, Jun Jiang
A two-stage scheduling method for deadline-constrained task in cloud computing. Clust. Comput. 25 (5) (2022)
Jun Jiang, Fagui Liu, Yongheng Liu, Quan Tang, Bin Wang, Guoxiang Zhong, Weizheng Wang
A dynamic ensemble algorithm for anomaly detection in IoT imbalanced data streams. Comput. Commun. 194 (2022)
Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene Segmentation. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Weizheng Wang, Quoc-Viet Pham
Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things. IEEE Trans. Green Commun. Netw. 6 (3) (2022)
Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang, Xuhao Tang
Alleviating Overconfident Failure Predictions via Masking Predictive Logits in Semantic Segmentation. ICANN (2) (2022)
Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang, Boyuan Zhu, Xuhao Tang
Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene Segmentation. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang
Attention-guided chained context aggregation for semantic segmentation. Image Vis. Comput. 115 (2021)
Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang
Attention-guided Chained Context Aggregation for Semantic Segmentation. CoRR (2020)
Fagui Liu, Dacheng Deng, Jun Jiang, Quan Tang
Event-Driven Semantic Service Discovery Based on Word Embeddings. IEEE Access 6 (2018)