Pengxin Guo - RankMe

26 papers A* 3A 1B 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring the Vulnerabilities of Federated Learning: A Deep Dive Into Gradient Inversion Attacks. IEEE Trans. Pattern Anal. Mach. Intell. Pengxin Guo, Runxi Wang, Shuang Zeng, Jinjing Zhu, Haoning Jiang, Yanran Wang, Yuyin Zhou, Feifei Wang, Hui Xiong, Liangqiong Qu
2025	A*	`conf`	A New Federated Learning Framework Against Gradient Inversion Attacks. AAAI Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu
2025	J	`jnl`	Exploring Federated Pruning for Large Language Models. CoRR Pengxin Guo, Yinong Wang, Wei Li, Mengting Liu, Ming Li, Jinkai Zheng, Liangqiong Qu
2025	J	`jnl`	Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks. CoRR Pengxin Guo, Runxi Wang, Shuang Zeng, Jinjing Zhu, Haoning Jiang, Yanran Wang, Yuyin Zhou, Feifei Wang, Hui Xiong, Liangqiong Qu
2025	J	`jnl`	FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models. CoRR Weiying Zheng, Ziyue Lin, Pengxin Guo, Yuyin Zhou, Feifei Wang, Liangqiong Qu
2025	J	`jnl`	Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. Pengxin Guo, Pengrong Jin, Ziyue Li, Lei Bai, Yu Zhang
2025	A*	`conf`	Selective Aggregation for Low-Rank Adaptation in Federated Learning. ICLR Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu
2024	J	`jnl`	A New Federated Learning Framework Against Gradient Inversion Attacks. CoRR Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu
2024	J	`jnl`	A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting. IEEE Trans. Image Process. Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang
2024	J	`jnl`	Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration. CoRR Xiaoqing Zhang, Qiushi Nie, Zunjie Xiao, Jilu Zhao, Xiao Wu, Pengxin Guo, Runzhi Li, Jin Liu, Yanjie Wei, Yi Pan
2024	J	`jnl`	Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting. CoRR Pengxin Guo, Pengrong Jin, Ziyue Li, Lei Bai, Yu Zhang
2024	J	`jnl`	Selective Aggregation for Low-Rank Adaptation in Federated Learning. CoRR Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu
2024	—	`conf`	Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. MICCAI (10) Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu
2024	J	`jnl`	Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. CoRR Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu
2023	J	`jnl`	A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. CoRR Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang
2023	—	`conf`	Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer. ECML/PKDD (5) Xiyu Wang, Pengxin Guo, Yu Zhang
2022	J	`jnl`	Domain Adaptation via Bidirectional Cross-Attention Transformer. CoRR Xiyu Wang, Pengxin Guo, Yu Zhang
2022	B	`conf`	Learning Feature Alignment Architecture for Domain Adaptation. IJCNN Zhixiong Yue, Pengxin Guo, Yu Zhang, Christy Jie Liang
2022	A	`conf`	Selective Partial Domain Adaptation. BMVC Pengxin Guo, Jinjing Zhu, Yu Zhang
2021	—	`conf`	Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network. ECML/PKDD (1) Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
2021	J	`jnl`	Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search. CoRR Zhixiong Yue, Pengxin Guo, Yu Zhang
2021	A*	`conf`	Multi-Objective Meta Learning. NeurIPS Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang
2021	J	`jnl`	Multi-Objective Meta Learning. CoRR Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang
2021	J	`jnl`	Safe Multi-Task Learning. CoRR Pengxin Guo, Feiyang Ye, Yu Zhang
2020	J	`jnl`	Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network. CoRR Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
2020	J	`jnl`	Multi-Task Adversarial Attack. CoRR Pengxin Guo, Yuancheng Xu, Baijiong Lin, Yu Zhang