Publications

Conference Papers

• Xiyu Wang, Pengxin Guo, and Yu Zhang. Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer. In: Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2023.
• Pengxin Guo, Jinjing Zhu, and Yu Zhang. Selective Partial Domain Adaptation. In: Proceedings of the 33rd British Machine Vision Conference (BMVC), 2022.
• Zhixiong Yue, Pengxin Guo, Yu Zhang, and Christy Liang. Learning Feature Alignment Architecture for Domain Adaptation. In: Proceedings of International Joint Conference on Neural Networks (IJCNN), 2022.
• Feiyang Ye*, Baijiong Lin*, Zhixiong Yue, Pengxin Guo, Qiao Xiao, and Yu Zhang. Multi-Objective Meta Learning. In: Proceedings of the 35th Annual Conference on Neural Information Processing Systems (NeurIPS), 2021.
• Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, and Yu Zhang. Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network. In: Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2021.

Preprints

• Pengxin Guo, Pengrong Jin, Ziyue Li, Lei Bai, and Yu Zhang. Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting. arXiv:2401.04148, 2024.
• Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, and Qiang Yang. A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. arXiv:2312.05024, 2023.