Pengxin Guo

According to our database, Pengxin Guo authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Exploring the Vulnerabilities of Federated Learning: A Deep Dive Into Gradient Inversion Attacks.

Pengxin Guo, Runxi Wang, Shuang Zeng, Jinjing Zhu, Haoning Jiang, Yanran Wang, Yuyin Zhou, Feifei Wang, Hui Xiong, Liangqiong Qu

IEEE Trans. Pattern Anal. Mach. Intell., April, 2026

2025

Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting.

Pengxin Guo, Pengrong Jin, Ziyue Li, Lei Bai, Yu Zhang

IEEE Trans. Intell. Transp. Syst., October, 2025

FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models.

Weiying Zheng, Ziyue Lin, Pengxin Guo, Yuyin Zhou, Feifei Wang, Liangqiong Qu

CoRR, June, 2025

Exploring Federated Pruning for Large Language Models.

Pengxin Guo, Yinong Wang, Wei Li, Mengting Liu, Ming Li, Jinkai Zheng, Liangqiong Qu

CoRR, May, 2025

Selective Aggregation for Low-Rank Adaptation in Federated Learning.

Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A New Federated Learning Framework Against Gradient Inversion Attacks.

Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting.

Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang

IEEE Trans. Image Process., 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, Yi Pan

CoRR, 2024

Tackling Data Heterogeneity in Federated Learning via Loss Decomposition.

Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting.

Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang

CoRR, 2023

Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer.

Xiyu Wang, Pengxin Guo, Yu Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Domain Adaptation via Bidirectional Cross-Attention Transformer.

Xiyu Wang, Pengxin Guo, Yu Zhang

CoRR, 2022

Learning Feature Alignment Architecture for Domain Adaptation.

Zhixiong Yue, Pengxin Guo, Yu Zhang, Christy Jie Liang

Proceedings of the International Joint Conference on Neural Networks, 2022

Selective Partial Domain Adaptation.

Pengxin Guo, Jinjing Zhu, Yu Zhang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Safe Multi-Task Learning.

Pengxin Guo, Feiyang Ye, Yu Zhang

CoRR, 2021

Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search.

Zhixiong Yue, Pengxin Guo, Yu Zhang

CoRR, 2021

Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network.

Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Multi-Objective Meta Learning.

Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Multi-Task Adversarial Attack.

Pengxin Guo, Yuancheng Xu, Baijiong Lin, Yu Zhang

CoRR, 2020