Face recognition with continuous occlusion using partially iteratively reweighted sparse coding. - Xiao-Xin Li 001; Dao-Qing Dai; Xiao-Fei Zhang; Chuan-Xian Ren (ACPR, 2011)

Protein Complexes Discovery Based on Protein-Protein Interaction Data via a Regularized Sparse Generative Network Model. - Xiao-Fei Zhang; Dao-Qing Dai; Xiao-Xin Li 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Structured Sparse Error Coding for Face Recognition With Occlusion. - Xiao-Xin Li 001; Dao-Qing Dai; Xiao-Fei Zhang; Chuan-Xian Ren (IEEE Trans. Image Process., 2013)

Band-Reweighed Gabor Kernel Embedding for Face Image Representation and Recognition. - Chuan-Xian Ren; Dao-Qing Dai; Xiao-Xin Li 001; Zhao-Rong Lai (IEEE Trans. Image Process., 2014)

Mixed Error Coding for Face Recognition with Mixed Occlusions. - Ronghua Liang; Xiao-Xin Li 001 (IJCAI, 2015)

Robust Face Recognition with Occlusion by Fusing Image Gradient Orientations with Markov Random Fields. - Xiao-Xin Li 001; Ronghua Liang; Yuanjing Feng; Haixia Wang 002 (IScIDE (1), 2015)

Facial Occlusion Detection via Structural Error Metrics and Clustering. - Xiao-Xin Li 001; Ronghua Liang; Jiaquan Gao; Haixia Wang 002 (IScIDE (1), 2015)

Spectral-Spatial Classification of Hyperspectral Images via Spatial Translation-Invariant Wavelet-Based Sparse Representation. - Lin He 001; Yuanqing Li 001; Xiaoxin Li 001; Wei Wu 022 (IEEE Trans. Geosci. Remote. Sens., 2015)

A Novel Trust Evaluation Method for Logic Circuits in IoT Applications Based on the E-PTM Model. - Jie Xiao 003; Jianhui Jiang; Xiaoxin Li 001; Yujiao Huang; Xuhua Yang 001; Zhanhui Shi; Jungang Lou (IEEE Access, 2018)

Blockchain Architecture Reliability-Based Measurement for Circuit Unit Importance. - Jie Xiao 003; Jungang Lou; Jianhui Jiang; Xiaoxin Li 001; Xuhua Yang 001; Yujiao Huang (IEEE Access, 2018)

A fast online multivariable identification method for greenhouse environment control problems. - Haigen Hu; Cheng Luo; Qiu Guan; Xiaoxin Li 001; Shengyong Chen; Qianwei Zhou (Neurocomputing, 2018)

Towards the Automation of Deep Image Prior. - Qianwei Zhou; Chen Zhou; Haigen Hu; Yuhang Chen; Shengyong Chen; Xiaoxin Li 001 (CoRR, 2019)

Exploring Optimal Adaptive Activation Functions for Various Tasks. - Aizhu Liu; Haigen Hu; Tian Qiu 005; Qianwei Zhou; Qiu Guan; Xiaoxin Li 001 (BIBM, 2020)

Residual-Recursion Autoencoder for Shape Illustration Images. - Qianwei Zhou; Peng Tao 004; Xiaoxin Li 001; Shengyong Chen; Fan Zhang 056; Haigen Hu (CoRR, 2020)

Image gradient orientations embedded structural error coding for face recognition with occlusion. - Xiao-Xin Li 001; Pengyi Hao; Lin He 001; Yuanjing Feng (J. Ambient Intell. Humaniz. Comput., 2020)

Multimodal MRI Acceleration via Deep Cascading Networks with Peer-Layer-Wise Dense Connections. - Xiao-Xin Li 001; Zhijie Chen; Xin-Jie Lou; Junwei Yang; Yong Chen 026; Dinggang Shen (MICCAI (6), 2021)

Adversarial Examples Defense via Combining Data Transformations and RBF Layers. - Jingjie Li; Jiaquan Gao; Xiao-Xin Li 001 (PRICAI (2), 2021)

A multi-root solver for discontinuous and non-differentiable equations by integrating genetic algorithm and derivative-free iterative methods. - Tian Qiu 005; Haigen Hu; Ruixin Chen; Qianwei Zhou; Qiu Guan; Xiaoxin Li 001 (Appl. Soft Comput., 2021)

An adaptive learning method of anchor shape priors for biological cells detection and segmentation. - Haigen Hu; Aizhu Liu; Qianwei Zhou; Qiu Guan; Xiaoxin Li 001; Qi Chen (Comput. Methods Programs Biomed., 2021)

Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI. - Junwei Yang; Xiao-Xin Li 001; Feihong Liu; Dong Nie; Pietro Liò; Haikun Qi; Dinggang Shen (CoRR, 2021)

Adaptively Customizing Activation Functions for Various Layers. - Haigen Hu; Aizhu Liu; Qiu Guan; Xiaoxin Li 001; Shengyong Chen; Qianwei Zhou (CoRR, 2021)

Training deep neural networks for wireless sensor networks using loosely and weakly labeled images. - Qianwei Zhou; Yuhang Chen; Baoqing Li; Xiaoxin Li 001; Chen Zhou; Jingchang Huang; Haigen Hu (Neurocomputing, 2021)

Joint Feature Learning for Cell Segmentation Based on Multi-scale Convolutional U-Net. - Zhichao Jin; Haigen Hu; Qianwei Zhou; Qiu Guan; Xiaoxin Li 001; Qi Chen (BIBM, 2022)

Towards Interpretable Feature Representation for Domain Adaptation Problem. - Yi Fang; Zhi-Jie Chen; Qianwei Zhou; Xiao-Xin Li 001 (ICTAI, 2022)

Effectively Training MRI Reconstruction Network via Sequentially Using Undersampled k-Space Data with Very Low Frequency Gaps. - Tian-Yi Xing; Xiao-Xin Li 001; Zhi-Jie Chen; Xi-Yu Zheng; Fan Zhang 056 (ISBRA, 2022)

Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images. - Haigen Hu; Leizhao Shen; Qiu Guan; Xiaoxin Li 001; Qianwei Zhou; Su Ruan (Pattern Recognit., 2022)

Robust Image Classification via Using Multiple Diversity Losses. - Yi Fang; Wen-Hao Zheng; Qihui Wang; Xiao-Xin Li 001 (ACML, 2023)

Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast. - Junwei Yang; Xiao-Xin Li 001; Feihong Liu; Dong Nie; Pietro Liò; Haikun Qi; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Adaptively Customizing Activation Functions for Various Layers. - Haigen Hu; Aizhu Liu; Qiu Guan; Hanwang Qian; Xiaoxin Li 001; Shengyong Chen; Qianwei Zhou (IEEE Trans. Neural Networks Learn. Syst., 2023)

Dynamic HUMUS-Net for Fast MRI Reconstruction. - Jia-Yao He; Yanlin Chen; Lei Chen; Xuhua Yang 001; Xiao-Xin Li 001 (BIBM, 2024)

Dynamic Hybrid Unrolled Multi-scale Network for Accelerated MRI Reconstruction. - Xiao-Xin Li 001; Fang-Zheng Zhu; Junwei Yang; Yong Chen 026; Dinggang Shen (MICCAI (7), 2024)

HyperSign: Saliency-Aware Spatial Graphs and Temporal Hypergraphs for Continuous Sign Language Recognition. - Weiyi Ye; Xu-Hua Yang 001; Dong Wei; Gang-Feng Ma; Yujiao Huang; Xiao-Xin Li 001 (AAAI, 2026)

Robust drug recommendation based on patient status awareness and unbiased prediction. - Gang-Feng Ma; Xilin Wen; Xu-Hua Yang 001; Yanbo Zhou; Wei Huang 015; Xiao-Xin Li 001; Peng Jiang 016 (Inf. Process. Manag., 2026)

ABANet: An Atom-Bond Attention-Enhanced Neural Network for End-to-End Retrosynthesis. - Qing-Xiao Wang; Lei Chen; Xue-Ling Zhang; Xiao-Xin Li 001 (Mach. Learn., 2026)