Jun Jiang

According to our database, Jun Jiang authored at least 20 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation.

Quan Tang, Chuanjian Liu, Fagui Liu, Jun Jiang, Bowen Zhang, C. L. Philip Chen, Kai Han, Yunhe Wang

IEEE Trans. Image Process., 2025

Increase the sensitivity of moderate examples for semantic image segmentation.

Quan Tang, Fagui Liu, Dengke Zhang, Jun Jiang, Xuhao Tang, C. L. Philip Chen

Image Vis. Comput., 2025

2024

Detecting Cloud Anomaly via Broad Network-Based Contrastive Autoencoder.

Guoxiang Zhong, Fagui Liu, Jun Jiang, Bin Wang, Xi Yao, C. L. Philip Chen

IEEE Trans. Netw. Serv. Manag., June, 2024

CauseFormer: Interpretable Anomaly Detection With Stepwise Attention for Cloud Service.

Guoxiang Zhong, Fagui Liu, Jun Jiang, C. L. Philip Chen

IEEE Trans. Netw. Serv. Manag., February, 2024

Refining one-class representation: A unified transformer for unsupervised time-series anomaly detection.

Guoxiang Zhong, Fagui Liu, Jun Jiang, Bin Wang, C. L. Philip Chen

Inf. Sci., January, 2024

Workflow scheduling based on asynchronous advantage actor-critic algorithm in multi-cloud environment.

Xuhao Tang, Fagui Liu, Bin Wang, Dishi Xu, Jun Jiang, Qingbo Wu, C. L. Philip Chen

Expert Syst. Appl., 2024

2023

TraceGra: A trace-based anomaly detection for microservice using graph deep learning.

Jian Chen, Fagui Liu, Jun Jiang, Guoxiang Zhong, Dishi Xu, Zhuanglun Tan, Shangsong Shi

Comput. Commun., April, 2023

Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks.

Chao Li, Fagui Liu, Bin Wang, C. L. Philip Chen, Xuhao Tang, Jun Jiang, Jie Liu

IEEE Trans. Intell. Veh., March, 2023

AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing.

Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Guoxiang Zhong, Xuhao Tang, Bin Wang

Comput. Commun., February, 2023

Category Feature Transformer for Semantic Segmentation.

Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang

CoRR, 2023

2022

Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene Segmentation.

Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang, Boyuan Zhu, Xuhao Tang

IEEE Trans. Intell. Transp. Syst., 2022

EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene Segmentation.

Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang

IEEE Trans. Intell. Transp. Syst., 2022

Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things.

Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Weizheng Wang, Quoc-Viet Pham

IEEE Trans. Green Commun. Netw., 2022

A dynamic ensemble algorithm for anomaly detection in IoT imbalanced data streams.

Jun Jiang, Fagui Liu, Yongheng Liu, Quan Tang, Bin Wang, Guoxiang Zhong, Weizheng Wang

Comput. Commun., 2022

A two-stage scheduling method for deadline-constrained task in cloud computing.

Xiaojian He, Junmin Shen, Fagui Liu, Bin Wang, Guoxiang Zhong, Jun Jiang

Clust. Comput., 2022

Alleviating Overconfident Failure Predictions via Masking Predictive Logits in Semantic Segmentation.

Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang, Xuhao Tang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Energy Efficient Resource Scheduling in Cloud Computing Based on Task Arrival Model.

Bin Wang, Yongheng Liu, Fan Zhang, Jun Jiang

Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021

Attention-guided chained context aggregation for semantic segmentation.

Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang

Image Vis. Comput., 2021

2020

Attention-guided Chained Context Aggregation for Semantic Segmentation.

Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang

CoRR, 2020

2018

Event-Driven Semantic Service Discovery Based on Word Embeddings.

Fagui Liu, Dacheng Deng, Jun Jiang, Quan Tang

IEEE Access, 2018