Jun Jiang

29 papers Journal 27Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
FEI-Hi: Federated Edge Intelligence for Healthcare Informatics.
IEEE J. Biomed. Health Informatics
Chunjiong Zhang, Gaoyang Shan, Byeong-Hee Roh, Fa Zhu, Jun Jiang
2026 J jnl
Privacy-Aware and Energy-Efficient Task Offloading for the Internet of Energy.
IEEE Netw.
Bin Wang, Xiangyu Ren, Jun Jiang, Quan Tang, Xingchi Chen, Xuhao Tang, Fa Zhu
2025 J jnl
Category-Constrained Broad Recurrent System for Cloud Anomaly Detection.
IEEE Trans. Netw. Serv. Manag.
Xi Yao, Fagui Liu, Jun Jiang, Guoxiang Zhong, C. L. Philip Chen
2025 J jnl
Cost and Makespan-Aware Task Scheduling With Deep Reinforcement Learning in Multicloud Environments.
IEEE Trans. Comput. Soc. Syst.
Xuhao Tang, Fagui Liu, Bin Wang, Mengjiao Zhang, Jun Jiang, Quan Tang, Qingbo Wu, C. L. Philip Chen
2025 J jnl
FM
IEEE Trans. Consumer Electron.
Chunjiong Zhang, Gaoyang Shan, Byeong-Hee Roh, Jun Jiang
2025 J jnl
Improved Cross-Modal Retrieval Systems Using Self-Reinforcement and Quadruplet Alignment Hashing.
IEEE Trans. Consumer Electron.
Xiaoqing Liu, Zhiwen Yu, Jun Jiang, Bin Wang, Fa Zhu, Xingchi Chen, Witold Pedrycz
2025 J jnl
Increase the sensitivity of moderate examples for semantic image segmentation.
Image Vis. Comput.
Quan Tang, Fagui Liu, Dengke Zhang, Jun Jiang, Xuhao Tang, C. L. Philip Chen
2025 J jnl
Incremental Semi-Supervised Learning for Data Streams Classification in Internet of Things.
IEEE Trans. Netw. Serv. Manag.
Jun Jiang, Bin Wang, Quan Tang, Guoxiang Zhong, Xuhao Tang, Joel J. P. C. Rodrigues
2025 J jnl
LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment.
IEEE Trans. Consumer Electron.
Xuhao Tang, Fagui Liu, Dishi Xu, Jun Jiang, Quan Tang, Bin Wang, Qingbo Wu, C. L. Philip Chen
2025 J jnl
Minimum variance weighted broad cascade network structure for imbalanced classification.
Knowl. Based Syst.
Wuxing Chen, Zhiwen Yu, Kaixiang Yang, Jun Jiang, Fan Zhang, C. L. Philip Chen
2025 J jnl
Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation.
IEEE Trans. Image Process.
Quan Tang, Chuanjian Liu, Fagui Liu, Jun Jiang, Bowen Zhang, C. L. Philip Chen, Kai Han, Yunhe Wang
2024 J jnl
CauseFormer: Interpretable Anomaly Detection With Stepwise Attention for Cloud Service.
IEEE Trans. Netw. Serv. Manag.
Guoxiang Zhong, Fagui Liu, Jun Jiang, C. L. Philip Chen
2024 J jnl
Detecting Cloud Anomaly via Broad Network-Based Contrastive Autoencoder.
IEEE Trans. Netw. Serv. Manag.
Guoxiang Zhong, Fagui Liu, Jun Jiang, Bin Wang, Xi Yao, C. L. Philip Chen
2024 J jnl
Refining one-class representation: A unified transformer for unsupervised time-series anomaly detection.
Inf. Sci.
Guoxiang Zhong, Fagui Liu, Jun Jiang, Bin Wang, C. L. Philip Chen
2024 J jnl
Workflow scheduling based on asynchronous advantage actor-critic algorithm in multi-cloud environment.
Expert Syst. Appl.
Xuhao Tang, Fagui Liu, Bin Wang, Dishi Xu, Jun Jiang, Qingbo Wu, C. L. Philip Chen
2023 J jnl
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing.
Comput. Commun.
Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Guoxiang Zhong, Xuhao Tang, Bin Wang
2023 J jnl
Category Feature Transformer for Semantic Segmentation.
CoRR
Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang
2023 J jnl
Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks.
IEEE Trans. Intell. Veh.
Chao Li, Fagui Liu, Bin Wang, C. L. Philip Chen, Xuhao Tang, Jun Jiang, Jie Liu
2023 J jnl
TraceGra: A trace-based anomaly detection for microservice using graph deep learning.
Comput. Commun.
Jian Chen, Fagui Liu, Jun Jiang, Guoxiang Zhong, Dishi Xu, Zhuanglun Tan, Shangsong Shi
2022 J jnl
A dynamic ensemble algorithm for anomaly detection in IoT imbalanced data streams.
Comput. Commun.
Jun Jiang, Fagui Liu, Yongheng Liu, Quan Tang, Bin Wang, Guoxiang Zhong, Weizheng Wang
2022 J jnl
A two-stage scheduling method for deadline-constrained task in cloud computing.
Clust. Comput.
Xiaojian He, Junmin Shen, Fagui Liu, Bin Wang, Guoxiang Zhong, Jun Jiang
2022 — conf
Alleviating Overconfident Failure Predictions via Masking Predictive Logits in Semantic Segmentation.
ICANN (2)
Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang, Xuhao Tang
2022 J jnl
Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene Segmentation.
IEEE Trans. Intell. Transp. Syst.
Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang, Boyuan Zhu, Xuhao Tang
2022 J jnl
Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things.
IEEE Trans. Green Commun. Netw.
Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Weizheng Wang, Quoc-Viet Pham
2022 J jnl
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene Segmentation.
IEEE Trans. Intell. Transp. Syst.
Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang
2022 — conf
Energy Efficient Resource Scheduling in Cloud Computing Based on Task Arrival Model.
GLOBECOM (Workshops)
Bin Wang, Yongheng Liu, Fan Zhang, Jun Jiang
2021 J jnl
Attention-guided chained context aggregation for semantic segmentation.
Image Vis. Comput.
Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang
2020 J jnl
Attention-guided Chained Context Aggregation for Semantic Segmentation.
CoRR
Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang
2018 J jnl
Event-Driven Semantic Service Discovery Based on Word Embeddings.
IEEE Access
Fagui Liu, Dacheng Deng, Jun Jiang, Quan Tang