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Rongjian Li
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2020 – today
- 2020
- [j9]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): 322-333 (2020) - [c6]Rongjian Li:
The Research on the Strategy of College English Teaching Mode Based on Mobile Terminal Under the Background of Internet+. SPIoT (2) 2020: 468-473
2010 – 2019
- 2018
- [c5]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: 628-632 - 2017
- [j8]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): 1533-1541 (2017) - 2016
- [b1]Rongjian Li:
Machine Learning Methods for Medical and Biological Image Computing. Old Dominion University, Norfolk, Virginia, USA, 2016 - [c4]Rongjian Li, Dong Si, Tao Zeng, Shuiwang Ji
Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy. BIBM 2016: 41-46 - 2015
- [j7]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: 147:1-147:10 (2015) - [j6]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): 765-791 (2015) - [j5]Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. NeuroImage 108: 214-224 (2015) - [j4]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): 1411-1423 (2015) - [c3]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: 1475-1484 - 2014
- [j3]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: 209 (2014) - [c2]Rongjian Li, Wenlu Zhang, Heung-Il Suk
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. MICCAI (3) 2014: 305-312 - [i1]Xiangyu Chang, Yu Wang, Rongjian Li, Zongben Xu:
Sparse K-Means with ℓ∞/ℓ0 Penalty for High-Dimensional Data Clustering. CoRR abs/1403.7890 (2014) - 2013
- [j2]Wenlu Zhang, Daming Feng, Rongjian Li, Andrey N. Chernikov, Nikos Chrisochoides, Christopher Osgood, Charlotte Konikoff, Stuart J. Newfeld, Sudhir Kumar
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis. BMC Bioinform. 14: 372 (2013) - [j1]Shuiwang Ji
A Probabilistic Latent Semantic Analysis Model for Coclustering the Mouse Brain Atlas. IEEE ACM Trans. Comput. Biol. Bioinform. 10(6): 1460-1468 (2013) - [c1]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: 797-806
Coauthor Index
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