Rongjian Li

Publication Activity (10 Years)

Years Active: 2013-2020
Publications (10 Years): 10

Top Topics

Expression Patterns

Convolutional Neural Networks

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis. IEEE Trans. Big Data 6 (2) (2020)
Rongjian Li
The Research on the Strategy of College English Teaching Mode Based on Mobile Terminal Under the Background of Internet+. SPIoT (2) (2020)
Devin Haslam, Tao Zeng, Rongjian Li, Jing He
Exploratory Studies Detecting Secondary Structures in Medium Resolution 3D Cryo-EM Images Using Deep Convolutional Neural Networks. BCB (2018)
Rongjian Li, Tao Zeng, Hanchuan Peng, Shuiwang Ji
Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction. IEEE Trans. Medical Imaging 36 (7) (2017)
Rongjian Li, Dong Si, Tao Zeng, Shuiwang Ji, Jing He
Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy. BIBM (2016)
Tao Zeng, Rongjian Li, Ravi Mukkamala, Jieping Ye, Shuiwang Ji
Deep convolutional neural networks for annotating gene expression patterns in the mouse brain. BMC Bioinform. 16 (2015)
Rongjian Li, Wenlu Zhang, Yao Zhao, Zhenfeng Zhu, Shuiwang Ji
Sparsity Learning Formulations for Mining Time-Varying Data. IEEE Trans. Knowl. Data Eng. 27 (5) (2015)
Wenlu Zhang, Rongjian Li, Daming Feng, Andrey N. Chernikov, Nikos Chrisochoides, Christopher Osgood, Shuiwang Ji
Evolutionary soft co-clustering: formulations, algorithms, and applications. Data Min. Knowl. Discov. 29 (3) (2015)
Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang, Weili Lin, Shuiwang Ji, Dinggang Shen
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. NeuroImage 108 (2015)
Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis. KDD (2015)
Rongjian Li, Wenlu Zhang, Shuiwang Ji
Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns. BMC Bioinform. 15 (2014)
Xiangyu Chang, Yu Wang, Rongjian Li, Zongben Xu
Penalty for High-Dimensional Data Clustering. CoRR (2014)
Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. MICCAI (3) (2014)
Shuiwang Ji, Wenlu Zhang, Rongjian Li
A Probabilistic Latent Semantic Analysis Model for Coclustering the Mouse Brain Atlas. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (6) (2013)
Yu Wang, Xiangyu Chang, Rongjian Li, Zongben Xu
Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering. ICDM (2013)
Wenlu Zhang, Daming Feng, Rongjian Li, Andrey N. Chernikov, Nikos Chrisochoides, Christopher Osgood, Charlotte Konikoff, Stuart J. Newfeld, Sudhir Kumar, Shuiwang Ji
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis. BMC Bioinform. 14 (2013)