| 2025 | ICML | Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift. | Chao Ying, Jun Jin, Yi Guo, Xiudi Li, Muxuan Liang, Jiwei Zhao |
| 2024 | ICLR | ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift. | Hwanwoo Kim, Xin Zhang, Jiwei Zhao, Qinglong Tian |
| 2024 | VTC | Deep Learning Based Uplink Precoding for High Speed Train Communications in FD-RAN. | Zeyu Sun, Jiwei Zhao, Yunting Xu, Jiacheng Chen, Haibo Zhou, Lian Zhao |
| 2023 | ICML | ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models. | Qinglong Tian, Xin Zhang, Jiwei Zhao |
| 2023 | PIMRC | Multi-Connectivity Mobility Management in Downlink FD-RAN: A Learning Based Approach. | Tianqi Zhang, Jianzhe Xue, Jiwei Zhao, Jiacheng Chen, Haibo Zhou, Xuemin Sherman Shen |
| 2023 | VTC | Cost-Effective Deployment for Fully-Decoupled Radio Access Networks: A Techno-economic Approach. | Jiwei Zhao, Jiacheng Chen, Bo Qian, Bo Cheng, Yunting Xu, Haibo Zhou |
| 2023 | UAI | Sufficient identification conditions and semiparametric estimation under missing not at random mechanisms. | Anna Guo, Jiwei Zhao, Razieh Nabi |
| 2020 | VTC | Deep Spatio-Temporal Residual Networks for Connected Urban Vehicular Traffic Prediction. | Hanlin Wu, Haibo Zhou, Jiwei Zhao, Yunting Xu, Ting Ma, Yiyang Bian |