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2020 – today
- 2024
[j15]Xiangrui Li, Dongxu Wei, Xiyuan Hu
, Liming Zhang, Weiping Ding, Zhenmin Tang:
Statistical guaranteed noisy tensor recovery by fusing low-rankness on all orientations in frequency-original domains. Inf. Fusion 106: 102262 (2024)- [j14]Lingzhen Kong, Kangkang Liu, Xiyuan Hu, Ning Zhang, Lianyong Qi, Xiangrui Li, Xiaokang Zhou:
Gender Classification Based on Spatio-Frequency Feature Fusion of OCT Fingerprint Images in the IoT Environment. IEEE Internet Things J. 11(15): 25731-25743 (2024) - [i12]Xiangrui Li:
Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data. CoRR abs/2409.00007 (2024) - 2023
- [j13]Yuan Zhou, Xiangrui Li, Keran Chen, Sun-Yuan Kung:
Progressive Learning for Unsupervised Change Detection on Aerial Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [c14]Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu:
Learning Compact Features via In-Training Representation Alignment. AAAI 2023: 8675-8683 - 2022
- [c13]Xiangrui Li, Andong Wang, Xiyuan Hu, Zhenmin Tang:
Orientation Invariant Tensor Completion In Both Spectual And Space Domains. WI/IAT 2022: 829-834 - [i11]Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu:
Learning Compact Features via In-Training Representation Alignment. CoRR abs/2211.13332 (2022) - 2021
- [c12]Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu:
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. AAAI 2021: 8482-8490 - [c11]Xiangrui Li, Yuan Zhou:
An Unsupervised Framework for Change Detection in Remote Sensing Images. ICCT 2021: 1112-1116 - [c10]Weitao Yuan, Shengbei Wang, Xiangrui Li, Masashi Unoki, Wenwu Wang:
Crossfire Conditional Generative Adversarial Networks for Singing Voice Extraction. Interspeech 2021: 3041-3045 - 2020
- [j12]Huafeng Liu, Yazhou Yao, Zeren Sun, Xiangrui Li, Ke Jia, Zhenming Tang:
Road segmentation with image-LiDAR data fusion in deep neural network. Multim. Tools Appl. 79(47): 35503-35518 (2020) - [c9]Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu:
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. AAAI 2020: 4739-4746 - [c8]Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu:
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. IJCAI 2020: 2690-2696 - [c7]Xiangrui Li, Jasmine L. Hect, Moriah E. Thomason, Dongxiao Zhu:
Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI Using Deep 3D Convolutional Neural Networks. ISBI 2020: 1424-1427 - [i10]Xiangrui Li, Deng Pan, Xin Li, Dongxiao Zhu:
Improve SGD Training via Aligning Mini-batches. CoRR abs/2002.09917 (2020) - [i9]Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu:
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. CoRR abs/2003.02309 (2020) - [i8]Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu:
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. CoRR abs/2007.06133 (2020) - [i7]Yuan Zhou, Xiangrui Li:
Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection. CoRR abs/2010.07469 (2020) - [i6]Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu:
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. CoRR abs/2012.07688 (2020)
2010 – 2019
- 2019
- [j11]Garren Gaut, Brandon M. Turner, Zhong-Lin Lu, Xiangrui Li, William A. Cunningham, Mark Steyvers:
Predicting Task and Subject Differences with Functional Connectivity and Blood-Oxygen-Level-Dependent Variability. Brain Connect. 9(6): 451-463 (2019) - [j10]Xiangrui Li, Shuibo Huang:
Stability and Bifurcation for a Single-Species Model with Delay Weak Kernel and Constant Rate Harvesting. Complex. 2019: 1810385:1-1810385:17 (2019) - [j9]Huafeng Liu, Xiaofeng Han, Xiangrui Li, Yazhou Yao, Pu Huang, Zhenmin Tang:
Deep representation learning for road detection using Siamese network. Multim. Tools Appl. 78(17): 24269-24283 (2019) - [j8]Xiangrui Li, Andong Wang, Jianfeng Lu, Zhenmin Tang:
Statistical performance of convex low-rank and sparse tensor recovery. Pattern Recognit. 93: 193-203 (2019) - [j7]Weitao Yuan, Shengbei Wang, Xiangrui Li, Masashi Unoki, Wenwu Wang:
A Skip Attention Mechanism for Monaural Singing Voice Separation. IEEE Signal Process. Lett. 26(10): 1481-1485 (2019) - [c6]Weitao Yuan, Shengbei Wang, Xiangrui Li, Masashi Unoki, Wenwu Wang:
Proximal Deep Recurrent Neural Network for Monaural Singing Voice Separation. ICASSP 2019: 286-290 - [i5]Huafeng Liu, Yazhou Yao, Zeren Sun, Xiangrui Li, Ke Jia, Zhenmin Tang:
Road Segmentation with Image-LiDAR Data Fusion. CoRR abs/1905.11559 (2019) - [i4]Huafeng Liu, Xiaofeng Han, Xiangrui Li, Yazhou Yao, Pu Huang, Zhenming Tang:
Deep Representation Learning for Road Detection through Siamese Network. CoRR abs/1905.13394 (2019) - [i3]Xiangrui Li, Jasmine L. Hect, Moriah E. Thomason, Dongxiao Zhu:
Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI using Deep 3D Convolutional Neural Networks. CoRR abs/1906.03691 (2019) - [i2]Xiangrui Li, Dongxiao Zhu:
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification. CoRR abs/1906.04026 (2019) - 2018
- [j6]Xiangrui Li, Dongxiao Zhu, Phillip Levy:
Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research. BMC Medical Informatics Decis. Mak. 18(S-4): 45-53 (2018) - [j5]Xiangrui Li, Dongxiao Zhu, Ming Dong:
Multinomial classification with class-conditional overlapping sparse feature groups. Pattern Recognit. Lett. 101: 37-43 (2018) - [j4]Xiangrui Li, Dongxiao Zhu:
Robust feature selection via l2, 1-norm in finite mixture of regression. Pattern Recognit. Lett. 108: 15-22 (2018) - 2017
- [c5]Andong Wang, Zhong Jin, Xiangrui Li:
Coherent Low-tubal-Rank Tensor Completion. ACPR 2017: 518-523 - [c4]Xiangrui Li, Andong Wang, Jianfeng Lu, Zhenmin Tang:
Statistical Performance of Convex Low-Rank and Sparse Tensor Recovery. ACPR 2017: 524-529 - [c3]Xiangrui Li, Dongxiao Zhu, Phillip Levy:
Predictive deep network with leveraging clinical measure as auxiliary task. BIBM 2017: 786-791 - [c2]Xiangrui Li, Dongxiao Zhu, Ming Dong, Milad Zafar Nezhad, Alexander T. Janke, Phillip Levy:
SDT: A Tree Method for Detecting Patient Subgroups with Personalized Risk Factors. CRI 2017 - [i1]Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li, Kai Yang, Phillip Levy:
SAFS: A Deep Feature Selection Approach for Precision Medicine. CoRR abs/1704.05960 (2017) - 2016
- [c1]Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li, Kai Yang, Phillip Levy:
SAFS: A deep feature selection approach for precision medicine. BIBM 2016: 501-506 - 2015
- [j3]Haijun Gong, Jakob Klinger, Kevin Damazyn, Xiangrui Li, Shiyang Huang:
A novel procedure for statistical inference and verification of gene regulatory subnetwork. BMC Bioinform. 16(S-7): S7 (2015) - 2011
- [j2]Zhong-Lin Lu, Xiangrui Li, Bosco S. Tjan, Barbara Anne Dosher, Wilson Chu:
Attention Extracts Signal in External Noise: A BOLD fMRI Study. J. Cogn. Neurosci. 23(5): 1148-1159 (2011)
2000 – 2009
- 2009
- [j1]Mathieu d'Acremont, Zhong-Lin Lu, Xiangrui Li, Martial Van der Linden, Antoine Bechara:
Neural correlates of risk prediction error during reinforcement learning in humans. NeuroImage 47(4): 1929-1939 (2009)
Coauthor Index
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