Qingjiang Xiao

According to our database, Qingjiang Xiao authored at least 18 papers between 2021 and 2024.

Collaborative distances:

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

2024

Hermes: Low-Overhead Inter-Switch Coordination in Network-Wide Data Plane Program Deployment.

Xiang Chen, Hongyan Liu, Qingjiang Xiao, Qun Huang, Dong Zhang, Haifeng Zhou, Boyang Zhou, Chunming Wu, Xuan Liu, Qiang Yang

IEEE/ACM Trans. Netw., August, 2024

Hyperspectral Anomaly Detection via MERA Decomposition and Enhanced Total Variation Regularization.

Qingjiang Xiao, Liaoying Zhao, Shuhan Chen, Xiaorun Li

IEEE Trans. Geosci. Remote. Sens., 2024

Hyperspectral Anomaly Detection via Enhanced Low-Rank and Smoothness Fusion Regularization Plus Saliency Prior.

Qingjiang Xiao, Liaoying Zhao, Shuhan Chen, Xiaorun Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Securing NextG networks with physical-layer key generation: A survey.

Qingjiang Xiao, Jinrong Zhao, Sheng Feng, Guyue Li, Aiqun Hu

Secur. Saf., 2024

Hyperspectral Anomaly Detection via Enhanced 3DTV and Sparse Reweighted Regularization.

Qingjiang Xiao, Liaoying Zhao, Shuhan Chen, Xiaorun Li

IEEE Geosci. Remote. Sens. Lett., 2024

Eagle: Toward Scalable and Near-Optimal Network-Wide Sketch Deployment in Network Measurement.

Xiang Chen, Qingjiang Xiao, Hongyan Liu, Qun Huang, Dong Zhang, Xuan Liu, Longbing Hu, Haifeng Zhou, Chunming Wu, Kui Ren

Proceedings of the ACM SIGCOMM 2024 Conference, 2024

2023

Multi-view spectral clustering based on adaptive neighbor learning and low-rank tensor decomposition.

Qingjiang Xiao, Shiqiang Du, Baokai Liu, Yao Yu, Jinmei Song

Multim. Tools Appl., November, 2023

Adaptive sparse graph learning for multi-view spectral clustering.

Qingjiang Xiao, Shiqiang Du, Kaiwu Zhang, Jinmei Song, Yixuan Huang

Appl. Intell., June, 2023

Robust Tensor Low-Rank Sparse Representation With Saliency Prior for Hyperspectral Anomaly Detection.

Qingjiang Xiao, Liaoying Zhao, Shuhan Chen, Xiaorun Li

IEEE Trans. Geosci. Remote. Sens., 2023

Enhanced Tensor Low-Rank Representation Learning for Hyperspectral Anomaly Detection.

Qingjiang Xiao, Liaoying Zhao, Shuhan Chen, Xiaorun Li

IEEE Geosci. Remote. Sens. Lett., 2023

Melody: Toward Resource-Efficient Packet Header Vector Encoding on Programmable Switches.

Xiang Chen, Hongyan Liu, Qingjiang Xiao, Jianshan Zhang, Qun Huang, Dong Zhang, Xuan Liu, Chunming Wu

Proceedings of the IEEE INFOCOM 2023, 2023

Tensor Low-Rank Sparse Representation Learning for Hyperspectral Anomaly Detection.

Qingjiang Xiao, Liaoying Zhao, Shuhan Chen

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Halia: Toward Full-Coverage Network Function Offloading in the Data Plane.

Xinyue Jiang, Hongyan Liu, Xiang Chen, Qingjiang Xiao, Kaiwei Guo, Dong Zhang, Haifeng Zhou, Chunming Wu

Proceedings of the IEEE International Conference on Communications, 2023

2022

Multi-view Clustering Based on Low-rank Representation and Adaptive Graph Learning.

Yixuan Huang, Qingjiang Xiao, Shiqiang Du, Yao Yu

Neural Process. Lett., 2022

Hyper-Laplacian regularized multi-view subspace clustering with jointing representation learning and weighted tensor nuclear norm constraint.

Qingjiang Xiao, Shiqiang Du, Yao Yu, Yixuan Huang, Jinmei Song

J. Intell. Fuzzy Syst., 2022

Toward Low-Overhead Inter-Switch Coordination in Network-Wide Data Plane Program Deployment.

Xiang Chen, Hongyan Liu, Qingjiang Xiao, Kaiwei Guo, Tingxin Sun, Xiang Ling, Xuan Liu, Qun Huang, Dong Zhang, Haifeng Zhou, Fan Zhang, Chunming Wu

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

2021

Unifying tensor factorization and tensor nuclear norm approaches for low-rank tensor completion.

Shiqiang Du, Qingjiang Xiao, Yuqing Shi, Rita Cucchiara, Yide Ma

Neurocomputing, 2021

Hyper-Laplacian Regularized Multi-View Subspace Clustering With a New Weighted Tensor Nuclear Norm.

Qingjiang Xiao, Shiqiang Du, Jinmei Song, Yao Yu, Yixuan Huang

IEEE Access, 2021