Publications

Journal Papers

• A Versatile Framework for Unsupervised Domain Adaptation based on Instance Weighting
  Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, and Qiang Yang.
  IEEE Transactions on Image Processing (TIP), 2024.

Conference Papers

• Tackling Data Heterogeneity in Federated Learning via Loss Decomposition
  Shuang Zeng*, Pengxin Guo*, Shuai Wang, Jianbo Wang, Yuyin Zhou, and Liangqiong Qu.
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.
• Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer
  Xiyu Wang, Pengxin Guo, and Yu Zhang.
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2023.
• Selective Partial Domain Adaptation
  Pengxin Guo, Jinjing Zhu, and Yu Zhang.
  British Machine Vision Conference (BMVC), 2022.
• Learning Feature Alignment Architecture for Domain Adaptation
  Zhixiong Yue, Pengxin Guo, Yu Zhang, and Christy Liang.
  International Joint Conference on Neural Networks (IJCNN), 2022.
• Multi-Objective Meta Learning
  Feiyang Ye*, Baijiong Lin*, Zhixiong Yue, Pengxin Guo, Qiao Xiao, and Yu Zhang.
  Conference on Neural Information Processing Systems (NeurIPS), 2021.
• Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network
  Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, and Yu Zhang.
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2021.

Preprints

• Selective Aggregation for Low-Rank Adaptation in Federated Learning
  Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, and Liangqiong Qu.
  arXiv:2410.01463, 2024.
• Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration
  Xiaoqing Zhang, Qiushi Nie, Zunjie Xiao, Jilu Zhao, Xiao Wu, Pengxin Guo, Runzhi Li, Jin Liu, Yanjie Wei, and Yi Pan.
  arXiv:2408.02906, 2024.
• Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting
  Pengxin Guo, Pengrong Jin, Ziyue Li, Lei Bai, and Yu Zhang.
  arXiv:2401.04148, 2024.