| 2024 | ICML | Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation. | Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo |
| 2022 | CVPR | DINE: Domain Adaptation from Single and Multiple Black-box Predictors. | Jian Liang, Dapeng Hu, Jiashi Feng, Ran He |
| 2022 | ICLR | How Well Does Self-Supervised Pre-Training Perform with Streaming Data? | Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng |
| 2021 | CVPR | Domain Adaptation With Auxiliary Target Domain-Oriented Classifier. | Jian Liang, Dapeng Hu, Jiashi Feng |
| 2020 | ECCV | A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. | Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng |
| 2020 | HPCC | An improved reinforcement learning approach to solve flow job scheduling problems. | Dapeng Hu, Xuesong Jiang, Jian Wang |
| 2020 | ICML | Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. | Jian Liang, Dapeng Hu, Jiashi Feng |
| 2019 | KSEM | State Representation Learning for Minimax Deep Deterministic Policy Gradient. | Dapeng Hu, Xuesong Jiang, Xiumei Wei, Jian Wang |