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ORCIDPengxin Guo 0001
Person information
- affiliation: University of Hong Kong, School of Computing and Data Science, Hong Kong
Other persons with the same name
- Pengxin Guo — disambiguation page
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2020 – today
- 2026
[j3]Pengxin Guo
, Runxi Wang, Shuang Zeng, Jinjing Zhu, Haoning Jiang, Yanran Wang, Yuyin Zhou, Feifei Wang, Hui Xiong, Liangqiong Qu:
Exploring the Vulnerabilities of Federated Learning: A Deep Dive Into Gradient Inversion Attacks. IEEE Trans. Pattern Anal. Mach. Intell. 48(4): 4810-4826 (2026)- 2025
- [j2]Pengxin Guo, Pengrong Jin, Ziyue Li, Lei Bai, Yu Zhang:
Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 26(10): 15323-15333 (2025) - [c8]Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu:
A New Federated Learning Framework Against Gradient Inversion Attacks. AAAI 2025: 16969-16977 - [c7]Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu:
Selective Aggregation for Low-Rank Adaptation in Federated Learning. ICLR 2025 - [i15]Pengxin Guo, Runxi Wang, Shuang Zeng, Jinjing Zhu, Haoning Jiang, Yanran Wang, Yuyin Zhou, Feifei Wang, Hui Xiong, Liangqiong Qu:
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks. CoRR abs/2503.11514 (2025) - [i14]Pengxin Guo, Yinong Wang, Wei Li, Mengting Liu, Ming Li, Jinkai Zheng, Liangqiong Qu:
Exploring Federated Pruning for Large Language Models. CoRR abs/2505.13547 (2025) - [i13]Weiying Zheng, Ziyue Lin, Pengxin Guo, Yuyin Zhou, Feifei Wang, Liangqiong Qu:
FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models. CoRR abs/2506.09638 (2025) - 2024
- [j1]Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang:
A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting. IEEE Trans. Image Process. 33: 6633-6646 (2024) - [c6]Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu:
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. MICCAI (10) 2024: 707-717 - [i12]Pengxin Guo, Pengrong Jin, Ziyue Li, Lei Bai, Yu Zhang:
Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting. CoRR abs/2401.04148 (2024) - [i11]Xiaoqing Zhang, Qiushi Nie, Zunjie Xiao, Jilu Zhao, Xiao Wu, Pengxin Guo, Runzhi Li, Jin Liu, Yanjie Wei, Yi Pan:
Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration. CoRR abs/2408.02906 (2024) - [i10]Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu:
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. CoRR abs/2408.12300 (2024) - [i9]Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu:
Selective Aggregation for Low-Rank Adaptation in Federated Learning. CoRR abs/2410.01463 (2024) - [i8]Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu:
A New Federated Learning Framework Against Gradient Inversion Attacks. CoRR abs/2412.07187 (2024) - 2023
- [c5]Xiyu Wang, Pengxin Guo, Yu Zhang:
Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer. ECML/PKDD (5) 2023: 309-325 - [i7]Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang:
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. CoRR abs/2312.05024 (2023) - 2022
- [c4]Pengxin Guo, Jinjing Zhu, Yu Zhang:
Selective Partial Domain Adaptation. BMVC 2022: 420 - [c3]Zhixiong Yue, Pengxin Guo, Yu Zhang, Christy Jie Liang:
Learning Feature Alignment Architecture for Domain Adaptation. IJCNN 2022: 1-8 - [i6]Xiyu Wang, Pengxin Guo, Yu Zhang:
Domain Adaptation via Bidirectional Cross-Attention Transformer. CoRR abs/2201.05887 (2022) - 2021
- [c2]Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang:
Multi-Objective Meta Learning. NeurIPS 2021: 21338-21351 - [c1]Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang:
Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network. ECML/PKDD (1) 2021: 538-553 - [i5]Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang:
Multi-Objective Meta Learning. CoRR abs/2102.07121 (2021) - [i4]Zhixiong Yue, Pengxin Guo, Yu Zhang:
Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search. CoRR abs/2109.06652 (2021) - [i3]Pengxin Guo, Feiyang Ye, Yu Zhang:
Safe Multi-Task Learning. CoRR abs/2111.10601 (2021) - 2020
- [i2]Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang:
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network. CoRR abs/2002.04813 (2020) - [i1]Pengxin Guo, Yuancheng Xu, Baijiong Lin, Yu Zhang:
Multi-Task Adversarial Attack. CoRR abs/2011.09824 (2020)
Coauthor Index
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