| 2024 | CVPR | Data-Efficient and Robust Task Selection for Meta-Learning. | Donglin Zhan, James Anderson |
| 2024 | SDM | Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. | Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson |
| 2023 | CVPR | MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. | Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao |
| 2022 | CVPR | Learning to Learn and Remember Super Long Multi-Domain Task Sequence. | Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao |
| 2022 | ECCV | Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. | Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao |
| 2021 | WSC | Neural Network-Assisted Simulation Optimization with Covariates. | Haoting Zhang, Jinghai He, Donglin Zhan, Zeyu Zheng |
| 2018 | ICDM | Small-Scale Demographic Sequences Projection Based on Time Series Clustering and LSTM-RNN. | Donglin Zhan, Shiyu Yi, Denglin Jiang |