Multi-Task Adversarial Attack. - Pengxin Guo 001; Yuancheng Xu; Baijiong Lin; Yu Zhang 006 (CoRR, 2020)

Multi-Objective Meta Learning. - Feiyang Ye 001; Baijiong Lin; Zhixiong Yue; Pengxin Guo 001; Qiao Xiao; Yu Zhang 006 (NeurIPS, 2021)

Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network. - Pengxin Guo 001; Chang Deng; Linjie Xu; Xiaonan Huang; Yu Zhang 006 (ECML/PKDD (1), 2021)

Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search. - Zhixiong Yue; Pengxin Guo 001; Yu Zhang 006 (CoRR, 2021)

Safe Multi-Task Learning. - Pengxin Guo 001; Feiyang Ye 001; Yu Zhang 006 (CoRR, 2021)

Selective Partial Domain Adaptation. - Pengxin Guo 001; Jinjing Zhu; Yu Zhang 006 (BMVC, 2022)

Learning Feature Alignment Architecture for Domain Adaptation. - Zhixiong Yue; Pengxin Guo 001; Yu Zhang 006; Christy Jie Liang (IJCNN, 2022)

Domain Adaptation via Bidirectional Cross-Attention Transformer. - Xiyu Wang; Pengxin Guo 001; Yu Zhang 006 (CoRR, 2022)

Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer. - Xiyu Wang; Pengxin Guo 001; Yu Zhang 006 (ECML/PKDD (5), 2023)

A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. - Jinjing Zhu; Feiyang Ye 001; Qiao Xiao; Pengxin Guo 001; Yu Zhang 006; Qiang Yang 001 (CoRR, 2023)

Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. - Shuang Zeng; Pengxin Guo 001; Shuai Wang; Jianbo Wang; Yuyin Zhou; Liangqiong Qu (MICCAI (10), 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 001; Runzhi Li; Jin Liu; Yanjie Wei; Yi Pan (CoRR, 2024)

A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting. - Jinjing Zhu; Feiyang Ye 001; Qiao Xiao; Pengxin Guo 001; Yu Zhang 006; Qiang Yang 001 (IEEE Trans. Image Process., 2024)

A New Federated Learning Framework Against Gradient Inversion Attacks. - Pengxin Guo 001; Shuang Zeng; Wenhao Chen; Xiaodan Zhang 003; Weihong Ren; Yuyin Zhou; Liangqiong Qu (AAAI, 2025)

Selective Aggregation for Low-Rank Adaptation in Federated Learning. - Pengxin Guo 001; Shuang Zeng; Yanran Wang; Huijie Fan; Feifei Wang; Liangqiong Qu (ICLR, 2025)

Exploring Federated Pruning for Large Language Models. - Pengxin Guo 001; Yinong Wang; Wei Li; Mengting Liu; Ming Li 073; Jinkai Zheng; Liangqiong Qu (CoRR, 2025)

FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models. - Weiying Zheng; Ziyue Lin; Pengxin Guo 001; Yuyin Zhou; Feifei Wang; Liangqiong Qu (CoRR, 2025)

Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting. - Pengxin Guo 001; Pengrong Jin; Ziyue Li 002; Lei Bai 001; Yu Zhang 006 (IEEE Trans. Intell. Transp. Syst., 2025)

Exploring the Vulnerabilities of Federated Learning: A Deep Dive Into Gradient Inversion Attacks. - Pengxin Guo 001; Runxi Wang; Shuang Zeng; Jinjing Zhu; Haoning Jiang; Yanran Wang; Yuyin Zhou; Feifei Wang; Hui Xiong 001; Liangqiong Qu (IEEE Trans. Pattern Anal. Mach. Intell., 2026)