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2020 – today
- 2024
[j12]Qingjiang Xiao
, Liaoying Zhao, Shuhan Chen, Xiaorun Li:
Hyperspectral Anomaly Detection via Enhanced 3DTV and Sparse Reweighted Regularization. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j11]Qingjiang Xiao, Liaoying Zhao, Shuhan Chen, Xiaorun Li:
Hyperspectral Anomaly Detection via Enhanced Low-Rank and Smoothness Fusion Regularization Plus Saliency Prior. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 18987-19002 (2024) - [j10]Qingjiang Xiao, Liaoying Zhao, Shuhan Chen, Xiaorun Li:
Hyperspectral Anomaly Detection via MERA Decomposition and Enhanced Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j9]Xiang Chen, Hongyan Liu, Qingjiang Xiao, Qun Huang, Dong Zhang, Haifeng Zhou, Boyang Zhou, Chunming Wu, Xuan Liu, Qiang Yang:
Hermes: Low-Overhead Inter-Switch Coordination in Network-Wide Data Plane Program Deployment. IEEE/ACM Trans. Netw. 32(4): 2842-2857 (2024) - [c5]Xiang Chen, Qingjiang Xiao, Hongyan Liu, Qun Huang, Dong Zhang, Xuan Liu, Longbing Hu, Haifeng Zhou, Chunming Wu, Kui Ren:
Eagle: Toward Scalable and Near-Optimal Network-Wide Sketch Deployment in Network Measurement. SIGCOMM 2024: 291-310 - 2023
- [j8]Qingjiang Xiao, Shiqiang Du, Kaiwu Zhang, Jinmei Song, Yixuan Huang:
Adaptive sparse graph learning for multi-view spectral clustering. Appl. Intell. 53(12): 14855-14875 (2023) - [j7]Qingjiang Xiao, Liaoying Zhao, Shuhan Chen, Xiaorun Li:
Enhanced Tensor Low-Rank Representation Learning for Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j6]Qingjiang Xiao, Shiqiang Du, Baokai Liu, Yao Yu, Jinmei Song:
Multi-view spectral clustering based on adaptive neighbor learning and low-rank tensor decomposition. Multim. Tools Appl. 82(26): 41159-41186 (2023) - [j5]Qingjiang Xiao, Liaoying Zhao, Shuhan Chen, Xiaorun Li:
Robust Tensor Low-Rank Sparse Representation With Saliency Prior for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-20 (2023) - [c4]Xinyue Jiang, Hongyan Liu, Xiang Chen, Qingjiang Xiao, Kaiwei Guo, Dong Zhang, Haifeng Zhou, Chunming Wu:
Halia: Toward Full-Coverage Network Function Offloading in the Data Plane. ICC 2023: 340-345 - [c3]Qingjiang Xiao, Liaoying Zhao, Shuhan Chen:
Tensor Low-Rank Sparse Representation Learning for Hyperspectral Anomaly Detection. IGARSS 2023: 7356-7359 - [c2]Xiang Chen, Hongyan Liu, Qingjiang Xiao, Jianshan Zhang, Qun Huang, Dong Zhang, Xuan Liu, Chunming Wu:
Melody: Toward Resource-Efficient Packet Header Vector Encoding on Programmable Switches. INFOCOM 2023: 1-10 - 2022
- [j4]Qingjiang Xiao, Shiqiang Du, Yao Yu, Yixuan Huang, Jinmei Song:
Hyper-Laplacian regularized multi-view subspace clustering with jointing representation learning and weighted tensor nuclear norm constraint. J. Intell. Fuzzy Syst. 42(6): 5809-5822 (2022) - [j3]Yixuan Huang, Qingjiang Xiao, Shiqiang Du, Yao Yu:
Multi-view Clustering Based on Low-rank Representation and Adaptive Graph Learning. Neural Process. Lett. 54(1): 265-283 (2022) - [c1]Xiang Chen, Hongyan Liu, Qingjiang Xiao, Kaiwei Guo, Tingxin Sun, Xiang Ling, Xuan Liu, Qun Huang, Dong Zhang, Haifeng Zhou, Fan Zhang, Chunming Wu:
Toward Low-Overhead Inter-Switch Coordination in Network-Wide Data Plane Program Deployment. ICDCS 2022: 370-380 - 2021
- [j2]Qingjiang Xiao, Shiqiang Du, Jinmei Song, Yao Yu, Yixuan Huang:
Hyper-Laplacian Regularized Multi-View Subspace Clustering With a New Weighted Tensor Nuclear Norm. IEEE Access 9: 118851-118860 (2021) - [j1]Shiqiang Du, Qingjiang Xiao, Yuqing Shi, Rita Cucchiara, Yide Ma:
Unifying tensor factorization and tensor nuclear norm approaches for low-rank tensor completion. Neurocomputing 458: 204-218 (2021)
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