Rongjian Li

20 papers A* 2Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
Design of FPGA Memory Architecture for Large-Scale Ad Hoc Network Simulation.
CNML
Xue Qin, Lufeng Qiao, Zhanyou Du, Rongjian Li
2024 — conf
Research on Disruptive Technology Prediction Methods Based on BERT Model and Graph Theory Analysis.
TFC (1)
Zhongyou Wang, Jianhui Zhang, Rongjian Li, Xiangdong Guo
2024 — conf
Research on Method of Flexible Mold Surface Formation Based on Point Cloud and Neural Network.
TFC (2)
Rongjian Li, Jiannan Zhang, Jianhui Zhang, Zhongyou Wang, Xiangdong Guo
2020 J jnl
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis.
IEEE Trans. Big Data
Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji
2020 — conf
The Research on the Strategy of College English Teaching Mode Based on Mobile Terminal Under the Background of Internet+.
SPIoT (2)
Rongjian Li
2018 — conf
Exploratory Studies Detecting Secondary Structures in Medium Resolution 3D Cryo-EM Images Using Deep Convolutional Neural Networks.
BCB
Devin Haslam, Tao Zeng, Rongjian Li, Jing He
2017 J jnl
Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction.
IEEE Trans. Medical Imaging
Rongjian Li, Tao Zeng, Hanchuan Peng, Shuiwang Ji
2016 — conf
Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy.
BIBM
Rongjian Li, Dong Si, Tao Zeng, Shuiwang Ji, Jing He
2016 — —
Machine Learning Methods for Medical and Biological Image Computing.
Rongjian Li
2015 A* conf
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis.
KDD
Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji
2015 J jnl
Deep convolutional neural networks for annotating gene expression patterns in the mouse brain.
BMC Bioinform.
Tao Zeng, Rongjian Li, Ravi Mukkamala, Jieping Ye, Shuiwang Ji
2015 J jnl
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.
NeuroImage
Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang, Weili Lin, Shuiwang Ji, Dinggang Shen
2015 J jnl
Evolutionary soft co-clustering: formulations, algorithms, and applications.
Data Min. Knowl. Discov.
Wenlu Zhang, Rongjian Li, Daming Feng, Andrey N. Chernikov, Nikos Chrisochoides, Christopher Osgood, Shuiwang Ji
2015 J jnl
Sparsity Learning Formulations for Mining Time-Varying Data.
IEEE Trans. Knowl. Data Eng.
Rongjian Li, Wenlu Zhang, Yao Zhao, Zhenfeng Zhu, Shuiwang Ji
2014 J jnl
Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns.
BMC Bioinform.
Rongjian Li, Wenlu Zhang, Shuiwang Ji
2014 — conf
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis.
MICCAI (3)
Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji
2014 J jnl
Sparse K-Means with ℓ
CoRR
Xiangyu Chang, Yu Wang, Rongjian Li, Zongben Xu
2013 J jnl
A Probabilistic Latent Semantic Analysis Model for Coclustering the Mouse Brain Atlas.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shuiwang Ji, Wenlu Zhang, Rongjian Li
2013 J jnl
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis.
BMC Bioinform.
Wenlu Zhang, Daming Feng, Rongjian Li, Andrey N. Chernikov, Nikos Chrisochoides, Christopher Osgood, Charlotte Konikoff, Stuart J. Newfeld, Sudhir Kumar, Shuiwang Ji
2013 A* conf
Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering.
ICDM
Yu Wang, Xiangyu Chang, Rongjian Li, Zongben Xu