Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering. - Yu Wang 075; Xiangyu Chang; Rongjian Li; Zongben Xu (ICDM, 2013)

A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis. - Wenlu Zhang; Daming Feng; Rongjian Li; Andrey N. Chernikov; Nikos Chrisochoides; Christopher Osgood; Charlotte Konikoff; Stuart J. Newfeld; Sudhir Kumar 001; Shuiwang Ji (BMC Bioinform., 2013)

A Probabilistic Latent Semantic Analysis Model for Coclustering the Mouse Brain Atlas. - Shuiwang Ji; Wenlu Zhang; Rongjian Li (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. - Rongjian Li; Wenlu Zhang; Heung-Il Suk; Li Wang 026; Jiang Li 001; Dinggang Shen; Shuiwang Ji (MICCAI (3), 2014)

Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns. - Rongjian Li; Wenlu Zhang; Shuiwang Ji (BMC Bioinform., 2014)

Sparse K-Means with ℓ∞/ℓ0 Penalty for High-Dimensional Data Clustering. - Xiangyu Chang; Yu Wang 075; Rongjian Li; Zongben Xu (CoRR, 2014)

Deep convolutional neural networks for annotating gene expression patterns in the mouse brain. - Tao Zeng; Rongjian Li; Ravi Mukkamala; Jieping Ye; Shuiwang Ji (BMC Bioinform., 2015)

Evolutionary soft co-clustering: formulations, algorithms, and applications. - Wenlu Zhang; Rongjian Li; Daming Feng; Andrey N. Chernikov; Nikos Chrisochoides; Christopher Osgood; Shuiwang Ji (Data Min. Knowl. Discov., 2015)

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. - Wenlu Zhang; Rongjian Li; Houtao Deng; Li Wang 026; Weili Lin; Shuiwang Ji; Dinggang Shen (NeuroImage, 2015)

Sparsity Learning Formulations for Mining Time-Varying Data. - Rongjian Li; Wenlu Zhang; Yao Zhao 001; Zhenfeng Zhu; Shuiwang Ji (IEEE Trans. Knowl. Data Eng., 2015)

Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy. - Rongjian Li; Dong Si; Tao Zeng; Shuiwang Ji; Jing He 002 (BIBM, 2016)

Machine Learning Methods for Medical and Biological Image Computing. - Rongjian Li (2016)

Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction. - Rongjian Li; Tao Zeng; Hanchuan Peng; Shuiwang Ji (IEEE Trans. Medical Imaging, 2017)

Exploratory Studies Detecting Secondary Structures in Medium Resolution 3D Cryo-EM Images Using Deep Convolutional Neural Networks. - Devin Haslam; Tao Zeng; Rongjian Li; Jing He 002 (BCB, 2018)

The Research on the Strategy of College English Teaching Mode Based on Mobile Terminal Under the Background of Internet+. - Rongjian Li (SPIoT (2), 2020)

Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis. - Wenlu Zhang; Rongjian Li; Tao Zeng; Qian Sun 002; Sudhir Kumar 001; Jieping Ye; Shuiwang Ji (IEEE Trans. Big Data, 2020)

Research on Method of Flexible Mold Surface Formation Based on Point Cloud and Neural Network. - Rongjian Li; Jiannan Zhang; Jianhui Zhang; Zhongyou Wang; Xiangdong Guo (TFC (2), 2024)

Research on Disruptive Technology Prediction Methods Based on BERT Model and Graph Theory Analysis. - Zhongyou Wang; Jianhui Zhang; Rongjian Li; Xiangdong Guo (TFC (1), 2024)