Renzhi Cao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Topics

Structural Model

Influence Maximization

Evolutionary Algorithm

Protein Tertiary Structure

Top Venues

Briefings Bioinform.

Publications

Lei Zhang, Bin Li, Li Ni, Haipeng Yang, Renzhi Cao
Evolutionary Multitasking Local Community Detection on Attributed Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Haipeng Yang, Bin Li, Fan Cheng, Peng Zhou, Renzhi Cao, Lei Zhang
A Node Classification-Based Multiobjective Evolutionary Algorithm for Community Detection in Complex Networks. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Andrew Nakamura, Hanze Meng, Minglei Zhao, Fengbin Wang, Jie Hou, Renzhi Cao, Dong Si
Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps. Briefings Bioinform. 24 (2) (2023)
Kaicong Ma, Xinxiang Xu, Haipeng Yang, Renzhi Cao, Lei Zhang
Fair Influence Maximization in Social Networks: A Community-Based Evolutionary Algorithm. CoRR (2023)
Lei Zhang, Bin Li, Haipeng Yang, Fan Cheng, Cheng Zhang, Renzhi Cao
Multi-Objective Optimization of Local Overlapping Community Detection: A Formal Model and Novel Evolutionary Algorithm. IEEE Trans. Netw. Sci. Eng. 10 (4) (2023)
Kyle Hippe, Cade Lilley, Joshua William Berkenpas, Ciri Chandana Pocha, Kiyomi Kishaba, Hui Ding, Jie Hou, Dong Si, Renzhi Cao
ZoomQA: residue-level protein model accuracy estimation with machine learning on sequential and 3D structural features. Briefings Bioinform. 23 (1) (2022)
Mahdi Rahbar, Rahul Kumar Chauhan, Pankil Nimeshbhai Shah, Renzhi Cao, Dong Si, Jie Hou
Deep graph learning to estimate protein model quality using structural constraints from multiple sequence alignments. BCB (2022)
Dong Si, Andrew Nakamura, Runbang Tang, Haowen Guan, Jie Hou, Ammaar Firozi, Renzhi Cao, Kyle Hippe, Minglei Zhao
Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM. CoRR (2021)
Hao Lv, Lei Shi, Joshua William Berkenpas, Fu-Ying Dao, Hasan Zulfiqar, Hui Ding, Yang Zhang, Liming Yang, Renzhi Cao
Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design. Briefings Bioinform. 22 (6) (2021)
Benjamin Warner, Aaron Crook, Renzhi Cao
Predicting the DJIA with News Headlines and Historic Data Using Hybrid Genetic Algorithm/Support Vector Regression and BERT. BigData Congress (2020)
Yajun An, Zachary Golden, Tarka Wilcox, Renzhi Cao
High Definition image classification in Geoscience using Machine Learning. CoRR (2020)
John Smith, Matthew Conover, Natalie Stephenson, Jesse Eickholt, Dong Si, Miao Sun, Renzhi Cao
TopQA: a topological representation for single-model protein quality assessment with machine learning. Int. J. Comput. Biol. Drug Des. 13 (1) (2020)
Ting Zhang, Clara Elizabeth, Renzhi Cao
Educational Application of Big Data Research: A Comparison of China and US. SERVICES (2020)
Jingjing Yang, Renzhi Cao, Dong Si
EMNets: A Convolutional Autoencoder for Protein Surface Retrieval Based on Cryo-Electron Microscopy Imaging. BCB (2018)
Renzhi Cao, Badri Adhikari, Debswapna Bhattacharya, Miao Sun, Jie Hou, Jianlin Cheng
QAcon: single model quality assessment using protein structural and contact information with machine learning techniques. Bioinform. 33 (4) (2017)
Renzhi Cao, Colton Freitas, Leong Chan, Miao Sun, Haiqing Jiang, Zhangxin Chen
ProLanGO: Protein Function Prediction Using Neural~Machine Translation Based on a Recurrent Neural Network. CoRR (2017)
Debswapna Bhattacharya, Renzhi Cao, Jianlin Cheng
protein structure prediction using united-residue conformational search via stepwise, probabilistic sampling. Bioinform. 32 (18) (2016)
Renzhi Cao, Debswapna Bhattacharya, Jie Hou, Jianlin Cheng
DeepQA: Improving the estimation of single protein model quality with deep belief networks. CoRR (2016)
Renzhi Cao, Debswapna Bhattacharya, Jie Hou, Jianlin Cheng
DeepQA: improving the estimation of single protein model quality with deep belief networks. BMC Bioinform. 17 (2016)
Renzhi Cao, Taeho Jo, Jianlin Cheng
Evaluation of Protein Structural Models Using Random Forests. CoRR (2016)
Debswapna Bhattacharya, Jackson Nowotny, Renzhi Cao, Jianlin Cheng
3Drefine: an interactive web server for efficient protein structure refinement. Nucleic Acids Res. 44 (Webserver-Issue) (2016)
Renzhi Cao, Debswapna Bhattacharya, Badri Adhikari, Jilong Li, Jianlin Cheng
Large-scale model quality assessment for improving protein tertiary structure prediction. Bioinform. 31 (12) (2015)
Jilong Li, Renzhi Cao, Jianlin Cheng
A large-scale conformation sampling and evaluation server for protein tertiary structure prediction and its assessment in CASP11. BMC Bioinform. 16 (2015)
Jackson Nowotny, Sharif Ahmed, Lingfei Xu, Oluwatosin Oluwadare, Hannah Chen, Noelan Hensley, Tuan Trieu, Renzhi Cao, Jianlin Cheng
Iterative reconstruction of three-dimensional models of human chromosomes from chromosomal contact data. BMC Bioinform. 16 (2015)
Jilong Li, Renzhi Cao, Jianlin Cheng
MULTICOM: a large-scale conformation sampling and evaluation server for protein tertiary structure prediction. BCB (2015)
Renzhi Cao, Zheng Wang, Yiheng Wang, Jianlin Cheng
SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines. BMC Bioinform. 15 (2014)
Zheng Wang, Renzhi Cao, Jianlin Cheng
Three-Level Prediction of Protein Function by Combining Profile-Sequence Search, Profile-Profile Search, and Domain Co-Occurrence Networks. BMC Bioinform. 14 (S-3) (2013)