Qu, Liangqiong

11 publications

AAAI 2025 A New Federated Learning Framework Against Gradient Inversion Attacks Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu

AAAI 2025 MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation Xiaodan Zhang, Yanzhao Shi, Junzhong Ji, Chengxin Zheng, Liangqiong Qu

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

AAAI 2024 Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection Weibo Jiang, Weihong Ren, Jiandong Tian, Liangqiong Qu, Zhiyong Wang, Honghai Liu

CVPR 2024 FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning Junyuan Zhang, Shuang Zeng, Miao Zhang, Runxi Wang, Feifei Wang, Yuyin Zhou, Paul Pu Liang, Liangqiong Qu

TMLR 2024 FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan Yuille, Cihang Xie, Yuyin Zhou

CVPR 2024 Residual Denoising Diffusion Models Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu

CVPR 2024 Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding Zhiheng Cheng, Qingyue Wei, Hongru Zhu, Yan Wang, Liangqiong Qu, Wei Shao, Yuyin Zhou

ICLRW 2023 Modeling Multivariate Biosignals with Graph Neural Networks and Structured State Space Siyi Tang, Jared Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel Rubin

CVPR 2022 Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel Rubin

CVPR 2017 DeshadowNet: A Multi-Context Embedding Deep Network for Shadow Removal Liangqiong Qu, Jiandong Tian, Shengfeng He, Yandong Tang, Rynson W. H. Lau