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Liangqiong Qu

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Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection

Jan 11, 2024
Weibo Jiang, Weihong Ren, Jiandong Tian, Liangqiong Qu, Zhiyong Wang, Honghai Liu

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DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Macular Hole Reconstruction with Stochastic Retinal Defect Augmentation and Dynamic Weight Composition

Nov 01, 2023
Xingru Huang, Yihao Guo, Jian Huang, Zhi Li, Tianyun Zhang, Kunyan Cai, Gaopeng Huang, Wenhao Chen, Zhaoyang Xu, Liangqiong Qu, Ji Hu, Tinyu Wang, Shaowei Jiang, Chenggang Yan, Yaoqi Sun, Xin Ye, Yaqi Wang

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FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning

Oct 06, 2023
Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan Yuille, Cihang Xie, Yuyin Zhou

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Residual Denoising Diffusion Models

Aug 25, 2023
Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu

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Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models

Nov 21, 2022
Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled K. Saab, Christopher Lee-Messer, Daniel L. Rubin

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Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

May 17, 2022
Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel Rubin, Lei Xing, Yuyin Zhou

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Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI

May 09, 2022
Yan-Ran, Wang, Liangqiong Qu, Natasha Diba Sheybani, Xiaolong Luo, Jiangshan Wang, Kristina Elizabeth Hawk, Ashok Joseph Theruvath, Sergios Gatidis, Xuerong Xiao, Allison Pribnow, Daniel Rubin, Heike E. Daldrup-Link

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Learning MRI Artifact Removal With Unpaired Data

Oct 09, 2021
Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap

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An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging

Jul 18, 2021
Liangqiong Qu, Niranjan Balachandar, Daniel L Rubin

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SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging

Jul 06, 2021
Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin

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