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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j45]Xiaoxiao Li
, Yinhe Wang, Shengping Li:
Double Model Following Adaptive Control for a Complex Dynamical Network. Entropy 25(1): 115 (2023)- [j44]Weina Jin, Xiaoxiao Li, Mostafa Fatehi, Ghassan Hamarneh:
Guidelines and evaluation of clinical explainable AI in medical image analysis. Medical Image Anal. 84: 102684 (2023) - [j43]Xinli Li, Xiaoxiao Li, Guotian Yang:
A novelty harmony search algorithm of image segmentation for multilevel thresholding using learning experience and search space constraints. Multim. Tools Appl. 82(1): 703-723 (2023) - [j42]Duong Viet Thong, Xiaoxiao Li, Qiao-Li Dong, Tien Dung Vu, Nguyen Phuong Lan:
Strong and linear convergence of projection-type method with an inertial term for finding minimum-norm solutions of pseudomonotone variational inequalities in Hilbert spaces. Numer. Algorithms 92(4): 2243-2274 (2023) - [j41]Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, Xiaoxiao Li:
GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis. IEEE Trans. Medical Imaging 42(2): 391-402 (2023) - [i71]Wenlong Deng, Yuan Zhong, Qi Dou, Xiaoxiao Li:
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations. CoRR abs/2301.01481 (2023) - [i70]Yilin Yang, Kamil Adamczewski, Danica J. Sutherland, Xiaoxiao Li, Mijung Park:
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation. CoRR abs/2303.01687 (2023) - [i69]Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li:
Federated Virtual Learning on Heterogeneous Data with Local-global Distillation. CoRR abs/2303.02278 (2023) - 2022
- [j40]Sheng Bi, Yongxing Wang, Xiaoxiao Li, Min Dong, Jinhui Zhu:
Critical direction projection networks for few-shot learning. Appl. Intell. 52(5): 5400-5413 (2022) - [j39]Minjia Shi, Xiaoxiao Li:
Few-weight codes over a non-chain ring associated with simplicial complexes and their distance optimal Gray image. Finite Fields Their Appl. 80: 101994 (2022) - [j38]Zhihao Xu, Xiaoxiao Li, Shuai Li, Hongmin Wu, Xuefeng Zhou:
Dynamic neural networks based adaptive optimal impedance control for redundant manipulators under physical constraints. Neurocomputing 471: 149-160 (2022) - [j37]Lei Zhou, Huagui Chen, Yufeng Wei, Xiaoxiao Li:
Mining confident supervision by prototypes discovering and annotation selection for weakly supervised semantic segmentation. Neurocomputing 501: 420-435 (2022) - [j36]Bingbing Zhang, Zhengtao Wang, Yi Shen, Wang Li, Feng Xu, Xiaoxiao Li:
Evaluation of foF2 and hmF2 Parameters of IRI-2016 Model in Different Latitudes over China under High and Low Solar Activity Years. Remote. Sens. 14(4): 860 (2022) - [j35]Yinxia Gao, Dun-Gang Li, Fan Yang, Xiaoxiao Li:
Fractional Landweber Iterative Regularization Method for Solving the Inverse Problem of Time-Fractional Schrödinger Equation. Symmetry 14(10): 2010 (2022) - [j34]Xiaoxiao Li, Zhihao Xu, Shuai Li, Zerong Su, Xuefeng Zhou:
Simultaneous Obstacle Avoidance and Target Tracking of Multiple Wheeled Mobile Robots With Certified Safety. IEEE Trans. Cybern. 52(11): 11859-11873 (2022) - [j33]Zhihao Xu, Xuefeng Zhou, Hongmin Wu, Xiaoxiao Li, Shuai Li:
Motion Planning of Manipulators for Simultaneous Obstacle Avoidance and Target Tracking: An RNN Approach With Guaranteed Performance. IEEE Trans. Ind. Electron. 69(4): 3887-3897 (2022) - [c64]Weina Jin, Xiaoxiao Li, Ghassan Hamarneh:
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? AAAI 2022: 11945-11953 - [c63]Xiaoxiao Li, Zhao Song, Runzhou Tao, Guangyi Zhang:
A Convergence Theory for Federated Average: Beyond Smoothness. Big Data 2022: 1292-1297 - [c62]Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr:
The 1st International Workshop on Federated Learning with Graph Data (FedGraph). CIKM 2022: 5179-5180 - [c61]Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada:
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. ECCV (9) 2022: 473-491 - [c60]Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama:
Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients. ICLR 2022 - [c59]Li Fu, Xiaoxiao Li, Runyu Wang, Lu Fan, Zhengchen Zhang, Meng Chen, Youzheng Wu, Xiaodong He:
SCaLa: Supervised Contrastive Learning for End-to-End Speech Recognition. INTERSPEECH 2022: 1006-1010 - [c58]Garima Aggarwal, Chun-Yin Huang, Di Fan, Xiaoxiao Li, Zehua Wang:
DeMed: A Novel and Efficient Decentralized Learning Framework for Medical Images Classification on Blockchain. DeCaF/FAIR@MICCAI 2022: 100-109 - [c57]Chun-Yin Huang, Qi Lei, Xiaoxiao Li:
Efficient Medical Image Assessment via Self-supervised Learning. DALI@MICCAI 2022: 102-111 - [c56]Ruinan Jin, Xiaoxiao Li:
Backdoor Attack is a Devil in Federated GAN-Based Medical Image Synthesis. SASHIMI@MICCAI 2022: 154-165 - [c55]Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. MICCAI (3) 2022: 196-206 - [c54]Sana Ayromlou, Purang Abolmaesumi, Teresa Tsang, Xiaoxiao Li:
Class Impression for Data-Free Incremental Learning. MICCAI (4) 2022: 320-329 - [c53]Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. MICCAI (8) 2022: 375-385 - [e2]Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett A. Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu:
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. Lecture Notes in Computer Science 13573, Springer 2022, ISBN 978-3-031-18522-9 [contents] - [i68]Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Peng Gao, Zenghui Zhang, Tatsuya Harada:
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images. CoRR abs/2201.02314 (2022) - [i67]Weina Jin, Xiaoxiao Li, Mostafa Fatehi, Ghassan Hamarneh:
Guidelines and evaluation for clinical explainable AI on medical image analysis. CoRR abs/2202.10553 (2022) - [i66]Weina Jin, Xiaoxiao Li, Ghassan Hamarneh:
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? CoRR abs/2203.06487 (2022) - [i65]Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, Xiaoxiao Li:
GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis. CoRR abs/2203.09034 (2022) - [i64]Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama:
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients. CoRR abs/2204.03304 (2022) - [i63]Minjia Shi, Shukai Wang, Xiaoxiao Li:
ZpZp2-linear codes: rank and kernel. CoRR abs/2205.13981 (2022) - [i62]Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma:
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet. CoRR abs/2206.00902 (2022) - [i61]Ziyuan Yang, Wenjun Xia, Zexin Lu, Yingyu Chen, Xiaoxiao Li, Yi Zhang:
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging. CoRR abs/2206.03709 (2022) - [i60]Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. CoRR abs/2206.13079 (2022) - [i59]Sana Ayromlou, Purang Abolmaesumi, Teresa Tsang, Xiaoxiao Li:
Class Impression for Data-free Incremental Learning. CoRR abs/2207.00005 (2022) - [i58]Ruinan Jin, Xiaoxiao Li:
Backdoor Attack is A Devil in Federated GAN-based Medical Image Synthesis. CoRR abs/2207.00762 (2022) - [i57]Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. CoRR abs/2207.00813 (2022) - [i56]Xiaoxiao Li, Minjia Shi, Shukai Wang:
Rank and pairs of Rank and Dimension of Kernel of ZpZp2-linear codes. CoRR abs/2207.12613 (2022) - [i55]Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada:
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. CoRR abs/2208.03062 (2022) - [i54]Xiaoxiao Li, Zhao Song, Jiaming Yang:
Federated Adversarial Learning: A Framework with Convergence Analysis. CoRR abs/2208.03635 (2022) - [i53]Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, Xiaoxiao Li, Ghassan Hamarneh:
Transcending XAI Algorithm Boundaries through End-User-Inspired Design. CoRR abs/2208.08739 (2022) - [i52]Chun-Yin Huang, Qi Lei, Xiaoxiao Li:
Efficient Medical Image Assessment via Self-supervised Learning. CoRR abs/2209.14434 (2022) - [i51]Qiong Zhang, Aline Talhouk, Gang Niu, Xiaoxiao Li:
FedMT: Federated Learning with Mixed-type Labels. CoRR abs/2210.02042 (2022) - [i50]Ruinan Jin, Xiaoxiao Li:
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis. CoRR abs/2210.10886 (2022) - [i49]Ruichen Yao, Ziteng Cui, Xiaoxiao Li, Lin Gu:
Improving Fairness in Image Classification via Sketching. CoRR abs/2211.00168 (2022) - [i48]Xiaoxiao Li, Zhao Song, Runzhou Tao, Guangyi Zhang:
A Convergence Theory for Federated Average: Beyond Smoothness. CoRR abs/2211.01588 (2022) - [i47]Xiaoxiao Li, Minjia Shi:
A tight upper bound on the number of non-zero weights of a quasi-cyclic code. CoRR abs/2211.03392 (2022) - [i46]Ziyuan Yang, Yingyu Chen, Huijie Huangfu, Maosong Ran, Hui Wang, Xiaoxiao Li, Yi Zhang:
Robust Split Federated Learning for U-shaped Medical Image Networks. CoRR abs/2212.06378 (2022) - [i45]Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li:
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation. CoRR abs/2212.08228 (2022) - 2021
- [j32]Wei Luo, Xiaoxiao Li, Changbao Zheng, Mingli Zhou:
Common-Mode Voltage Suppression Strategy Based on Fast MPC for a Five-Level Nested Neutral Point Piloted Converter. IEEE Access 9: 142046-142059 (2021) - [j31]Minjia Shi, Xiaoxiao Li:
Two classes of optimal p-ary few-weight codes from down-sets. Discret. Appl. Math. 290: 60-67 (2021) - [j30]Chengming Zou, Xiaoxiao Li, Xing Liu, Mengya Zhang:
3D placement of unmanned aerial vehicles and partially overlapped channel assignment for throughput maximization. Digit. Commun. Networks 7(2): 214-222 (2021) - [j29]Xiaoxiao Li, Minjia Shi:
A New Family of Optimal Binary Few-Weight Codes From Simplicial Complexes. IEEE Commun. Lett. 25(4): 1048-1051 (2021) - [j28]Yuhong He, Xiaoxiao Li, Zhihao Xu, Xuefeng Zhou, Shuai Li:
Collaboration of multiple SCARA robots with guaranteed safety using recurrent neural networks. Neurocomputing 456: 1-10 (2021) - [j27]Xiaolong Guo, Xiaoxiao Li, Yugang Yu:
Publication delay adjusted impact factor: The effect of publication delay of articles on journal impact factor. J. Informetrics 15(1): 101100 (2021) - [j26]Zhongbing Xie, Gang Cai, Xiaoxiao Li, Qiao-Li Dong:
Strong Convergence of the Modified Inertial Extragradient Method with Line-Search Process for Solving Variational Inequality Problems in Hilbert Spaces. J. Sci. Comput. 88(3): 50 (2021) - [j25]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. 74: 102233 (2021) - [j24]Xiaoxiao Li, Shuai Li, Zhihao Xu, Xuefeng Zhou:
A Vary-Parameter Convergence-Accelerated Recurrent Neural Network for Online Solving Dynamic Matrix Pseudoinverse and its Robot Application. Neural Process. Lett. 53(2): 1287-1304 (2021) - [j23]Rui Xu, Minghao Guo, Jiaqi Wang, Xiaoxiao Li, Bolei Zhou, Chen Change Loy:
Texture Memory-Augmented Deep Patch-Based Image Inpainting. IEEE Trans. Image Process. 30: 9112-9124 (2021) - [c52]Li Fu, Xiaoxiao Li, Libo Zi, Zhengchen Zhang, Youzheng Wu, Xiaodong He, Bowen Zhou:
Incremental Learning for End-to-End Automatic Speech Recognition. ASRU 2021: 320-327 - [c51]Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato:
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. BMVC 2021: 365 - [c50]Di Fan, Yifan Wu, Xiaoxiao Li:
On the Fairness of Swarm Learning in Skin Lesion Classification. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 120-129 - [c49]Kanyang Jiang, Xiaoxiao Li, Zhihao Xu, Xuefeng Zhou, Shuai Li:
Robust Formation Tracking of Multiple Wheeled Mobile Robots Under External Disturbance. ICIRA (4) 2021: 659-668 - [c48]Sitan Chen, Xiaoxiao Li, Zhao Song, Danyang Zhuo:
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization. ICLR 2021 - [c47]Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou:
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. ICLR 2021 - [c46]Baihe Huang, Xiaoxiao Li, Zhao Song, Xin Yang:
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis. ICML 2021: 4423-4434 - [c45]Yangsibo Huang, Xiaoxiao Li, Kai Li:
EMA: Auditing Data Removal from Trained Models. MICCAI (5) 2021: 793-803 - [c44]Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu:
Subgraph Federated Learning with Missing Neighbor Generation. NeurIPS 2021: 6671-6682 - [c43]Xiaoxiao Li, Zhihao Xu, Shuai Li, Kanyang Jiang, Xuefeng Zhou, Li Jiang:
Kinematic control of wheeled mobile manipulators subject to inherent physical constraints and noise disturbances. RCAR 2021: 417-422 - [e1]Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett A. Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach:
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12969, Springer 2021, ISBN 978-3-030-90873-7 [contents] - [i44]Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou:
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. CoRR abs/2102.07623 (2021) - [i43]Xiaoxiao Li, Ziteng Cui, Yifan Wu, Li Gu, Tatsuya Harada:
Estimating and Improving Fairness with Adversarial Learning. CoRR abs/2103.04243 (2021) - [i42]Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. CoRR abs/2104.07654 (2021) - [i41]Baihe Huang, Xiaoxiao Li, Zhao Song, Xin Yang:
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis. CoRR abs/2105.05001 (2021) - [i40]Minjia Shi, Xiaoxiao Li, Patrick Solé:
Designs, permutations, and projective planes. CoRR abs/2105.07979 (2021) - [i39]Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu:
Subgraph Federated Learning with Missing Neighbor Generation. CoRR abs/2106.13430 (2021) - [i38]Weina Jin, Xiaoxiao Li, Ghassan Hamarneh:
One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images. CoRR abs/2107.05047 (2021) - [i37]Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis. CoRR abs/2107.05097 (2021) - [i36]Yangsibo Huang, Xiaoxiao Li, Kai Li:
EMA: Auditing Data Removal from Trained Models. CoRR abs/2109.03675 (2021) - [i35]Di Fan, Yifan Wu, Xiaoxiao Li:
On the Fairness of Swarm Learning in Skin Lesion Classification. CoRR abs/2109.12176 (2021) - [i34]Li Fu, Xiaoxiao Li, Runyu Wang, Zhengchen Zhang, Youzheng Wu, Xiaodong He, Bowen Zhou:
SCaLa: Supervised Contrastive Learning for End-to-End Automatic Speech Recognition. CoRR abs/2110.04187 (2021) - [i33]Meirui Jiang, Xiaofei Zhang, Michael Kamp, Xiaoxiao Li, Qi Dou:
TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning. CoRR abs/2110.09974 (2021) - [i32]Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato:
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. CoRR abs/2112.01034 (2021) - [i31]Liang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu, Xiaoxiao Li:
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction. CoRR abs/2112.10166 (2021) - 2020
- [j22]Xiaoxiao Li, Zhihao Xu, Shuai Li, Hongmin Wu, Xuefeng Zhou:
Cooperative Kinematic Control for Multiple Redundant Manipulators Under Partially Known Information Using Recurrent Neural Network. IEEE Access 8: 40029-40038 (2020) - [j21]Hai-Qing Niu, Zeming Chen, Huang Zhang, Xin Luo, Xiaoliang Zhuang, Xiaoxiao Li, Bo Yang:
Multi-Physical Coupling Field Study of 500 kV GIL: Simulation, Characteristics, and Analysis. IEEE Access 8: 131439-131448 (2020) - [j20]Jinglun Liang, Yisheng Rong, Guoliang Ye, Xiaoxiao Li, Jianwen Guo, Zhenzhen He:
Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment. Complex. 2020: 8844209:1-8844209:14 (2020) - [j19]Minjia Shi, Xiaoxiao Li, Zahra Sepasdar, Patrick Solé:
Polycyclic codes as invariant subspaces. Finite Fields Their Appl. 68: 101760 (2020) - [j18]Weifeng Zhao, Xiaoxiao Li, Xin Chen, Xin Su, Guanrong Tang:
Bi-criteria Acceleration Level Obstacle Avoidance of Redundant Manipulator. Frontiers Neurorobotics 14: 54 (2020) - [j17]José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic:
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020) - [j16]Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. Medical Image Anal. 65: 101765 (2020) - [j15]Xiaoxiao Li, Xiaopeng Guo, Pengfei Han, Xiang Wang, Huaguang Li, Tao Luo:
Laplacian Redecomposition for Multimodal Medical Image Fusion. IEEE Trans. Instrum. Meas. 69(9): 6880-6890 (2020) - [j14]Minjia Shi, Xiaoxiao Li, Alessandro Neri, Patrick Solé:
How Many Weights Can a Cyclic Code Have? IEEE Trans. Inf. Theory 66(3): 1449-1459 (2020) - [j13]Aiping Guo, Ajuan Jiang, Jie Lin, Xiaoxiao Li:
Data mining algorithms for bridge health monitoring: Kohonen clustering and LSTM prediction approaches. J. Supercomput. 76(2): 932-947 (2020) - [j12]Chun-Xing Wang, Xiaoxiao Li, Meiling Xu, Jun Wang, Wenbo Wan:
Blind Photograph Watermarking with Robust Defocus-Based JND Model. Wirel. Commun. Mob. Comput. 2020: 8892349:1-8892349:17 (2020) - [c42]Xiaoxiao Li, João Saúde:
Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification. CD-MAKE 2020: 57-76 - [c41]Erxin Sun, Zongjuan Chen, Sixing Li, Xiaoxiao Li:
Real-time Data Visualization of Intelligent Networked Vehicles. CNIOT 2020: 180-184 - [c40]Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy:
Knowledge Distillation Meets Self-supervision. ECCV (9) 2020: 588-604 - [c39]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan:
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. ICML 2020: 11639-11649 - [c38]Xiaoxiao Li, Sheng Bi, Yongxing Wang, Min Dong, Zhangshao Chen:
A Few-shot Dynamic Obstacle Avoidance Strategy in Unknown Environments. IJCNN 2020: 1-7 - [c37]Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph embedding using Infomax for ASD classification and brain functional difference detection. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131702 - [c36]Junlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan:
Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. DART/DCL@MICCAI 2020: 52-61 - [c35]Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. MLMI@MICCAI 2020: 363-372 - [c34]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. MICCAI (7) 2020: 625-635 - [c33]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Yufeng Gu, Pamela Ventola, James S. Duncan:
Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty. MICCAI (1) 2020: 792-801 - [i30]Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results. CoRR abs/2001.05647 (2020) - [i29]Xiaoxiao Li, João Saúde:
Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification. CoRR abs/2002.00514 (2020) - [i28]