| Name (next stop) | Class of | Research Topic |
| Jialin Yu (Georgia Institute of Technology, USA) | 2024 | Covariance Estimation against Outliers |
| Pengcheng Ding (Peking University, China) | 2024 | Covariance Estimation with FDR Control |
| Jun Zhang (ShanghaiTech, China) | 2023 | Graph Neural Networks and Graph Signal Processing |
| Binbin Chen (University of Pennsylvania, USA) | 2023 | Graph Neural Networks and Graph Signal Processing |
| Zhongling Xu (University of Texas at Austin, USA) | 2022 | Nonconvex Optimization |
| Xiuyuan Huang (University of Southern California, USA) | 2022 | Nonconvex Optimization |
| Bin Wang (Northwestern University, USA) | 2022 | Nonconvex Optimization |
| Tao Huang (Chinese University of Hong Kong, HK, China) | 2022 | Optimization for Reinforcement Learning |
| Pengchao Tian (ShanghaiTech, China) | 2021 | Optimization for Reinforcement Learning |
| Wenfu Xia (ShanghaiTech, China) | 2021 | Graph and Covariance Learning |
| Maoxuan Huang (Northeastern University, USA) | 2021 | Graph and Covariance Learning |
| Zhouyang Fang (University of Pennsylvania, USA) | 2021 | Kalman Filtering |
