Renqiang Min

Publication Activity (10 Years)

Years Active: 2009-2019
Publications (10 Years): 3

Top Topics

Neural Network Training

Regularization Parameter

Learned Knowledge

Complex Domains

Top Venues

Nucleic Acids Res.

Neural Networks

Publications

Bo Peng, Renqiang Min, Xia Ning
CNN-based Dual-Chain Models for Knowledge Graph Learning. CoRR (2019)
Yang Gao, Jeff M. Phillips, Yan Zheng, Renqiang Min, P. Thomas Fletcher, Guido Gerig
Fully convolutional structured LSTM networks for joint 4D medical image segmentation. ISBI (2018)
Linnan Wang, Yi Yang, Renqiang Min, Srimat T. Chakradhar
Accelerating deep neural network training with inconsistent stochastic gradient descent. Neural Networks 93 (2017)
Ke Jin, Jingjing Li, Frederick S. Vizeacoumar, Zhijian Li, Renqiang Min, Lee Zamparo, Franco J. Vizeacoumar, Alessandro Datti, Brenda J. Andrews, Charles Boone, Zhaolei Zhang
. Nucleic Acids Res. 40 (Database-Issue) (2012)
Chao Cheng, Renqiang Min, Mark Gerstein
TIP: A probabilistic method for identifying transcription factor target genes from ChIP-seq binding profiles. Bioinform. 27 (23) (2011)
Jingjing Li, Yu Liu, TaeHyung Kim, Renqiang Min, Zhaolei Zhang
Gene Expression Variability within and between Human Populations and Implications toward Disease Susceptibility. PLoS Comput. Biol. 6 (8) (2010)
Renqiang Min, Anthony J. Bonner, Jingjing Li, Zhaolei Zhang
Learned Random-Walk Kernels and Empirical-Map Kernels for Protein Sequence Classification. J. Comput. Biol. 16 (3) (2009)