| 2025 | ICML | Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity. | Jian-Feng Cai, Zhuozhi Xian, Jiaxi Ying |
| 2024 | ICLR | A Fast and Provable Algorithm for Sparse Phase Retrieval. | Jian-Feng Cai, Yu Long, Ruixue Wen, Jiaxi Ying |
| 2023 | ICASSP | Estimating Normalized Graph Laplacians in Financial Markets. | Jos Vincius de Miranda Cardoso, Jiaxi Ying, Sandeep Kumar, Daniel P. Palomar |
| 2023 | ICML | Adaptive Estimation of Graphical Models under Total Positivity. | Jiaxi Ying, Jos Vincius de Miranda Cardoso, Daniel P. Palomar |
| 2022 | AAAI | Efficient Algorithms for General Isotone Optimization. | Xiwen Wang, Jiaxi Ying, Jos Vincius de Miranda Cardoso, Daniel P. Palomar |
| 2021 | ACSSC | A Fast Algorithm for Graph Learning under Attractive Gaussian Markov Random Fields. | Jiaxi Ying, Jos Vincius de Miranda Cardoso, Daniel P. Palomar |
| 2021 | AISTATS | Minimax Estimation of Laplacian Constrained Precision Matrices. | Jiaxi Ying, Jos Vincius de Miranda Cardoso, Daniel P. Palomar |
| 2019 | ACSSC | Bipartite Structured Gaussian Graphical Modeling via Adjacency Spectral Priors. | Sandeep Kumar, Jiaxi Ying, Jos Vincius de Miranda Cardoso, Daniel P. Palomar |