| 2026 | ISIT | Robust Spectral Recovery for Dynamical Sampling. | HanQin Cai, Longxiu Huang, Tianming Wang, Juntao You |
| 2025 | CISS | Structured Sampling for Robust Euclidean Distance Geometry. | Chandra Kundu, Abiy Tasissa, HanQin Cai |
| 2025 | ICASSP | Explainable Adversarial Attacks on Coarse-to-Fine Classifiers. | Akram Heidarizadeh, Connor Hatfield, Lorenzo Lazzarotto, HanQin Cai, George K. Atia |
| 2025 | ICML | Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery. | Paris Giampouras, HanQin Cai, Ren Vidal |
| 2025 | ISIT | Property Inheritance for Subtensors in Tensor Train Decompositions. | HanQin Cai, Longxiu Huang |
| 2024 | CISS | On the Robustness of Cross-Concentrated Sampling for Matrix Completion. | HanQin Cai, Longxiu Huang, Chandra Kundu, Bowen Su |
| 2023 | ICASSP | Non-Convex Approaches for Low-Rank Tensor Completion under Tubal Sampling. | Zheng Tan, Longxiu Huang, HanQin Cai, Yifei Lou |
| 2023 | ICML | Towards Constituting Mathematical Structures for Learning to Optimize. | Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai |
| 2021 | ICML | A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. | HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin |