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)

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)

Toward Low-Overhead Inter-Switch Coordination in Network-Wide Data Plane Program Deployment. - Xiang Chen 017; Hongyan Liu 001; Qingjiang Xiao; Kaiwei Guo; Tingxin Sun; Xiang Ling 001; Xuan Liu 006; Qun Huang 001; Dong Zhang 010; Haifeng Zhou; Fan Zhang; Chunming Wu 001 (ICDCS, 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)

Multi-view Clustering Based on Low-rank Representation and Adaptive Graph Learning. - Yixuan Huang; Qingjiang Xiao; Shiqiang Du; Yao Yu (Neural Process. Lett., 2022)

Halia: Toward Full-Coverage Network Function Offloading in the Data Plane. - Xinyue Jiang; Hongyan Liu 001; Xiang Chen 017; Qingjiang Xiao; Kaiwei Guo; Dong Zhang 010; Haifeng Zhou; Chunming Wu 001 (ICC, 2023)

Tensor Low-Rank Sparse Representation Learning for Hyperspectral Anomaly Detection. - Qingjiang Xiao; Liaoying Zhao; Shuhan Chen (IGARSS, 2023)

Melody: Toward Resource-Efficient Packet Header Vector Encoding on Programmable Switches. - Xiang Chen 017; Hongyan Liu 001; Qingjiang Xiao; Jianshan Zhang; Qun Huang 001; Dong Zhang 010; Xuan Liu 006; Chunming Wu 001 (INFOCOM, 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)

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)

Adaptive sparse graph learning for multi-view spectral clustering. - Qingjiang Xiao; Shiqiang Du; Kaiwu Zhang; Jinmei Song; Yixuan Huang (Appl. Intell., 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., 2023)

Eagle: Toward Scalable and Near-Optimal Network-Wide Sketch Deployment in Network Measurement. - Xiang Chen 017; Qingjiang Xiao; Hongyan Liu 001; Qun Huang 001; Dong Zhang 010; Xuan Liu 006; Longbing Hu; Haifeng Zhou; Chunming Wu 001; Kui Ren 001 (SIGCOMM, 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)

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 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)

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)

Hermes: Low-Overhead Inter-Switch Coordination in Network-Wide Data Plane Program Deployment. - Xiang Chen 017; Hongyan Liu 001; Qingjiang Xiao; Qun Huang 001; Dong Zhang 010; Haifeng Zhou; Boyang Zhou; Chunming Wu 001; Xuan Liu 006; Qiang Yang 004 (IEEE/ACM Trans. Netw., 2024)

Optimal Subcarrier Allocation Scheme for Physical-Layer Key Generation in an OFDMA Network. - Qingjiang Xiao; Guyue Li; Zi Long Liu 001; Aiqun Hu (IEEE Trans. Inf. Forensics Secur., 2025)