Robust off-grid recovery from compressed measurements. - Xinyue Shen 002; Justin K. Romberg; Yuantao Gu (ICASSP, 2014)

Anti-sparse representation for continuous function by dual atomic norm with application in OFDM. - Xinyue Shen 002; Yuantao Gu (GlobalSIP, 2015)

Subspace projection matrix completion on Grassmann manifold. - Xinyue Shen 002; Yuantao Gu (ICASSP, 2015)

Restricted Isometry Property of Subspace Projection Matrix Under Random Compression. - Xinyue Shen 002; Yuantao Gu (IEEE Signal Process. Lett., 2015)

Disciplined convex-concave programming. - Xinyue Shen 002; Steven Diamond; Yuantao Gu; Stephen P. Boyd (CDC, 2016)

Beyond union of subspaces: Subspace pursuit on Grassmann manifold for data representation. - Xinyue Shen 002; Hamid Krim; Yuantao Gu (ICASSP, 2016)

Square-Root Lasso With Nonconvex Regularization: An ADMM Approach. - Xinyue Shen 002; Laming Chen; Yuantao Gu; Hing-Cheung So (IEEE Signal Process. Lett., 2016)

Sparse subspace clustering using square-root penalty. - Linghang Meng; Xinyue Shen 002; Yuantao Gu (DSP, 2017)

Linearized ADMM for Non-convex Non-smooth Optimization with Convergence Analysis. - Qinghua Liu; Xinyue Shen 002; Yuantao Gu (CoRR, 2017)

Time-Varying Graph Signal Reconstruction. - Kai Qiu; Xianghui Mao; Xinyue Shen 002; Xiaohan Wang; Tiejian Li; Yuantao Gu (IEEE J. Sel. Top. Signal Process., 2017)

Subspace Principal Angle Preserving Property of Gaussian Random Projection. - Yuchen Jiao; Xinyue Shen 002; Gen Li 005; Yuantao Gu (DSW, 2018)

Subspace Data Visualization with Dissimilarity Based on Principal Angle. - Xinyue Shen 002; Yuchen Jiao; Yuantao Gu (DSW, 2018)

Nonconvex Sparse Logistic Regression via Proximal Gradient Descent. - Xinyue Shen 002; Yuantao Gu (ICASSP, 2018)

Nonconvex Sparse Logistic Regression With Weakly Convex Regularization. - Xinyue Shen 002; Yuantao Gu (IEEE Trans. Signal Process., 2018)

Sparse Recovery Conditions and Performance Bounds for ℓp-Minimization. - Chengzhu Yang; Xinyue Shen 002; Hongbing Ma; Yuantao Gu; Hing-Cheung So (IEEE Trans. Signal Process., 2018)

Linearized ADMM for Nonconvex Nonsmooth Optimization With Convergence Analysis. - Qinghua Liu; Xinyue Shen 002; Yuantao Gu (IEEE Access, 2019)

A Distributed Method for Optimal Capacity Reservation. - Nicholas Moehle; Xinyue Shen 002; Zhi-Quan Luo; Stephen P. Boyd (J. Optim. Theory Appl., 2019)

Weakly Convex Regularized Robust Sparse Recovery Methods With Theoretical Guarantees. - Chengzhu Yang; Xinyue Shen 002; Hongbing Ma; Badong Chen; Yuantao Gu; Hing Cheung So (IEEE Trans. Signal Process., 2019)

Confidence Bands for a Log-Concave Density. - Guenther Walther; Alnur Ali; Xinyue Shen 002; Stephen P. Boyd (J. Comput. Graph. Stat., 2022)

MSCA: An Unsupervised Anomaly Detection System for Network Security in Backbone Network. - Yating Liu; Yuantao Gu; Xinyue Shen 002; Qingmin Liao; Quan Yu (IEEE Trans. Netw. Sci. Eng., 2023)