| Disciplined convex-concave programming X Shen, S Diamond, Y Gu, S Boyd 2016 IEEE 55th conference on decision and control (CDC), 1009-1014, 2016 | 174 | 2016 |
| Time-varying graph signal reconstruction K Qiu, X Mao, X Shen, X Wang, T Li, Y Gu IEEE Journal of Selected Topics in Signal Processing 11 (6), 870-883, 2017 | 145 | 2017 |
| Linearized ADMM for nonconvex nonsmooth optimization with convergence analysis Q Liu, X Shen, Y Gu IEEE access 7, 76131-76144, 2019 | 140 | 2019 |
| Disciplined multi-convex programming X Shen, S Diamond, M Udell, Y Gu, S Boyd 2017 29th Chinese control and decision conference (CCDC), 895-900, 2017 | 61 | 2017 |
| Square-root lasso with nonconvex regularization: An admm approach X Shen, L Chen, Y Gu, HC So IEEE Signal Processing Letters 23 (7), 934-938, 2016 | 42 | 2016 |
| Nonconvex sparse logistic regression with weakly convex regularization X Shen, Y Gu IEEE Transactions on Signal Processing 66 (12), 3199-3211, 2018 | 33 | 2018 |
| Weakly convex regularized robust sparse recovery methods with theoretical guarantees C Yang, X Shen, H Ma, B Chen, Y Gu, HC So IEEE Transactions on Signal Processing 67 (19), 5046-5061, 2019 | 22 | 2019 |
| Sparse Recovery Conditions and Performance Bounds for-Minimization C Yang, X Shen, H Ma, Y Gu, HC So IEEE Transactions on Signal Processing 66 (19), 5014-5028, 2018 | 19 | 2018 |
| A distributed method for optimal capacity reservation N Moehle, X Shen, ZQ Luo, S Boyd Journal of Optimization Theory and Applications 182, 1130-1149, 2019 | 6 | 2019 |
| MSCA: An unsupervised anomaly detection system for network security in backbone network Y Liu, Y Gu, X Shen, Q Liao, Q Yu IEEE Transactions on Network Science and Engineering 10 (1), 223-238, 2022 | 5 | 2022 |
| Subspace principal angle preserving property of gaussian random projection Y Jiao, X Shen, G Li, Y Gu 2018 IEEE Data Science Workshop (DSW), 115-119, 2018 | 5 | 2018 |
| Incremental Proximal Multi-Forecast Model Predictive Control X Shen, S Boyd arXiv preprint arXiv:2111.14728, 2021 | 4 | 2021 |
| Minimizing oracle-structured composite functions X Shen, A Ali, S Boyd Optimization and Engineering 24 (2), 743-777, 2023 | 3 | 2023 |
| Restricted isometry property of subspace projection matrix under random compression X Shen, Y Gu IEEE Signal Processing Letters 22 (9), 1326-1330, 2015 | 3 | 2015 |
| Robust off-grid recovery from compressed measurements X Shen, J Romberg, Y Gu 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 3 | 2014 |
| Beyond union of subspaces: Subspace pursuit on grassmann manifold for data representation X Shen, H Krim, Y Gu 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 2 | 2016 |
| Anti-sparse representation for continuous function by dual atomic norm with application in OFDM X Shen, Y Gu 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2015 | 2 | 2015 |
| Subspace projection matrix completion on grassmann manifold X Shen, Y Gu 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 2 | 2015 |
| Confidence bands for a log-concave density G Walther, A Ali, X Shen, S Boyd Journal of Computational and Graphical Statistics 31 (4), 1426-1438, 2022 | 1 | 2022 |
| Subspace data visualization with dissimilarity based on principal angle X Shen, Y Jiao, Y Gu 2018 IEEE Data Science Workshop (DSW), 16-20, 2018 | 1 | 2018 |
Yuantao GuDepartment of Electronic Engineering, Tsinghua UniversityVerified email at tsinghua.edu.cn
