Xiangrui Li

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 37

Top Topics

Change Detection

Feature Mapping

Top Venues

Multim. Tools Appl.

Publications

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) (2024)
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 (2024)
Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu
Learning Compact Features via In-Training Representation Alignment. AAAI (2023)
Yuan Zhou, Xiangrui Li, Keran Chen, Sun-Yuan Kung
Progressive Learning for Unsupervised Change Detection on Aerial Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu
Learning Compact Features via In-Training Representation Alignment. CoRR (2022)
Xiangrui Li, Andong Wang, Xiyuan Hu, Zhenmin Tang
Orientation Invariant Tensor Completion In Both Spectual And Space Domains. WI/IAT (2022)
Weitao Yuan, Shengbei Wang, Xiangrui Li, Masashi Unoki, Wenwu Wang
Crossfire Conditional Generative Adversarial Networks for Singing Voice Extraction. Interspeech (2021)
Xiangrui Li, Yuan Zhou
An Unsupervised Framework for Change Detection in Remote Sensing Images. ICCT (2021)
Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. AAAI (2021)
Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. AAAI (2020)
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) (2020)
Xiangrui Li, Deng Pan, Xin Li, Dongxiao Zhu
Improve SGD Training via Aligning Mini-batches. CoRR (2020)
Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. CoRR (2020)
Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. CoRR (2020)
Yuan Zhou, Xiangrui Li
Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection. CoRR (2020)
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)
Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. IJCAI (2020)
Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. CoRR (2020)
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) (2019)
Xiangrui Li, Andong Wang, Jianfeng Lu, Zhenmin Tang
Statistical performance of convex low-rank and sparse tensor recovery. Pattern Recognit. 93 (2019)
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 (2019)
Weitao Yuan, Shengbei Wang, Xiangrui Li, Masashi Unoki, Wenwu Wang
Proximal Deep Recurrent Neural Network for Monaural Singing Voice Separation. ICASSP (2019)
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) (2019)
Xiangrui Li, Shuibo Huang
Stability and Bifurcation for a Single-Species Model with Delay Weak Kernel and Constant Rate Harvesting. Complex. 2019 (2019)
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) (2019)
Huafeng Liu, Xiaofeng Han, Xiangrui Li, Yazhou Yao, Pu Huang, Zhenming Tang
Deep Representation Learning for Road Detection through Siamese Network. CoRR (2019)
Huafeng Liu, Yazhou Yao, Zeren Sun, Xiangrui Li, Ke Jia, Zhenmin Tang
Road Segmentation with Image-LiDAR Data Fusion. CoRR (2019)
Xiangrui Li, Dongxiao Zhu
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification. CoRR (2019)
Xiangrui Li, Dongxiao Zhu
-norm in finite mixture of regression. Pattern Recognit. Lett. 108 (2018)
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) (2018)
Xiangrui Li, Dongxiao Zhu, Ming Dong
Multinomial classification with class-conditional overlapping sparse feature groups. Pattern Recognit. Lett. 101 (2018)
Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li, Kai Yang, Phillip Levy
SAFS: A Deep Feature Selection Approach for Precision Medicine. CoRR (2017)
Xiangrui Li, Dongxiao Zhu, Phillip Levy
Predictive deep network with leveraging clinical measure as auxiliary task. BIBM (2017)
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)
Andong Wang, Zhong Jin, Xiangrui Li
Coherent Low-tubal-Rank Tensor Completion. ACPR (2017)
Xiangrui Li, Andong Wang, Jianfeng Lu, Zhenmin Tang
Statistical Performance of Convex Low-Rank and Sparse Tensor Recovery. ACPR (2017)
Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li, Kai Yang, Phillip Levy
SAFS: A deep feature selection approach for precision medicine. BIBM (2016)
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) (2015)
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) (2011)
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) (2009)