Zhongnan Zhang

According to our database, Zhongnan Zhang authored at least 33 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Deep Learning-Based Multiomics Data Integration Methods for Biomedical Application.

Yuqi Wen, Linyi Zheng, Dongjin Leng, Chong Dai, Jing Lu, Zhongnan Zhang, Song He, Xiaochen Bo

Adv. Intell. Syst., May, 2023

HSGCL-DTA: Hybrid-scale Graph Contrastive Learning based Drug-Target Binding Affinity Prediction.

Hongyan Ye, Yingying Song, Binyu Wang, Lianlian Wu, Song He, Xiaochen Bo, Zhongnan Zhang

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Drug-target and Drug-disease Association Prediction based on Drug-target-disease Network and Multi-task Learning.

Binyu Wang, Yunhao Zhang, Hongyan Ye, Lianlian Wu, Song He, Xiaochen Bo, Zhongnan Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

MoSCHG: Multi-omics Single-cell Classification based on Heterogeneous Graphs and Supervised Contrastive Learning.

Xinjian Chen, Chenyang Xie, Yunhao Zhang, Song He, Xiaochen Bo, Zhongnan Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

DTI-HETA: prediction of drug-target interactions based on GCN and GAT on heterogeneous graph.

Kanghao Shao, Yunhao Zhang, Yuqi Wen, Zhongnan Zhang, Song He, Xiaochen Bo

Briefings Bioinform., 2022

Unsupervised continual learning of single-cell clustering based on novelty detection and memory replay.

Peng Ke, Shuke Xiang, Chenyang Xie, Yunhao Zhang, Zhen He, Zhongnan Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

NegStacking: Drug-Target Interaction Prediction Based on Ensemble Learning and Logistic Regression.

Jie Yang, Song He, Zhongnan Zhang, Xiaochen Bo

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

AdaDT: An adaptive decision tree for addressing local class imbalance based on multiple split criteria.

Jianjian Yan, Zhongnan Zhang, Huailin Dong

Appl. Intell., 2021

Unsupervised Ensemble Learning with Noisy Label Correction.

Xupeng Zou, Zhongnan Zhang, Zhen He, Liang Shi

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network.

Peng Ke, Yuqi Wen, Zhongnan Zhang, Song He, Xiaochen Bo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Drug-target interaction prediction based on nonnegative and self-representative matrix factorization.

Yihua Ye, Yuxin Chen, Zhongnan Zhang, Yuqi Wen, Song He, Xiaochen Bo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

A hybrid scheme-based one-vs-all decision trees for multi-class classification tasks.

Jianjian Yan, Zhongnan Zhang, Kunhui Lin, Fan Yang, Xiongbiao Luo

Knowl. Based Syst., 2020

Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds.

Lingwei Xie, Song He, Zhongnan Zhang, Kunhui Lin, Xiaochen Bo, Shu Yang, Boyuan Feng, Kun Wan, Kang Yang, Jie Yang, Yufei Ding

Bioinform., 2020

DTIGCCN: Prediction of drug-target interactions based on GCN and CNN.

Kanghao Shao, Zhongnan Zhang, Song He, Xiaochen Bo

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019

A Unified Framework for Decision Tree on Continuous Attributes.

Jianjian Yan, Zhongnan Zhang, Lingwei Xie, Zhantu Zhu

IEEE Access, 2019

2018

Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds.

Lingwei Xie, Song He, Shu Yang, Boyuan Feng, Kun Wan, Zhongnan Zhang, Xiaochen Bo, Yufei Ding

CoRR, 2018

Deep Convolution Neural Network and Autoencoders-Based Unsupervised Feature Learning of EEG Signals.

Tingxi Wen, Zhongnan Zhang

IEEE Access, 2018

DTI-RCNN: New Efficient Hybrid Neural Network Model to Predict Drug-Target Interactions.

Xiaoping Zheng, Song He, Xinyu Song, Zhongnan Zhang, Xiaochen Bo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Efficient Inference and Update via WordNet-Embedded Network Tree.

Zhantu Zhu, Ming Zeng, Zhongnan Zhang, Huailin Dong

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

Prediction of DTIs for high-dimensional and class-imbalanced data based on CGAN.

Kang Yang, Zhongnan Zhang, Song He, Xiaochen Bo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Events detection and community partition based on probabilistic snapshot for evolutionary social network.

Zhongnan Zhang, Lei Hu, Ming Qiu, Fangyuan Gao

Peer-to-Peer Netw. Appl., 2017

Effective and Extensible Feature Extraction Method Using Genetic Algorithm-Based Frequency-Domain Feature Search for Epileptic EEG Multi-classification.

Tingxi Wen, Zhongnan Zhang

CoRR, 2017

Drug - target interaction prediction with a deep-learning-based model.

Lingwei Xie, Zhongnan Zhang, Song He, Xiaochen Bo, Xinyu Song

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

The role of control based on three-dimensional human model.

Shijing Zhang, Huailin Dong, Zhongnan Zhang, Qingfeng Wu

Proceedings of the 11th International Conference on Computer Science & Education, 2016

Implementation of parallel multi-objective artificial bee colony algorithm based on spark platform.

Chunfeng Li, Tingxi Wen, Huailin Dong, Qingfeng Wu, Zhongnan Zhang

Proceedings of the 11th International Conference on Computer Science & Education, 2016

2015

A Parallel Bee Colony Algorithm for Resource Allocation Application in Cloud Computing Environment.

Tingxi Wen, Zhongnan Zhang, Meihong Wang

Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015

2014

Probabilistic Snapshot Based Evolutionary Social Network Events Detection.

Lei Hu, Zhongnan Zhang, Fangyuan Gao

Proceedings of the 10th International Conference on Mobile Ad-hoc and Sensor Networks, 2014

2008

Composite Spatio-Temporal Co-occurrence Pattern Mining.

Zhongnan Zhang, Weili Wu

Proceedings of the Wireless Algorithms, 2008

Effective Spatio-temporal Analysis of Remote Sensing Data.

Zhongnan Zhang, Weili Wu, Yaochun Huang

Proceedings of the Progress in WWW Research and Development, 2008

2007

Mining maximal hyperclique pattern: A hybrid search strategy.

Yaochun Huang, Hui Xiong, Weili Wu, Ping Deng, Zhongnan Zhang

Inf. Sci., 2007

2006

A Projected Clustering Algorithm in High Dimensional Space.

Ping Deng, Weili Wu, Yaochun Huang, Zhongnan Zhang

Proceedings of the 15th International Conference on Software Engineering and Data Engineering (SEDE-2006), 2006

2004

A Hybrid Approach for Mining Maixmal Hyperclique Patterns.

Yaochun Huang, Hui Xiong, Weili Wu, Zhongnan Zhang

Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Mining Dynamic Interdimension Association Rules for Local-Scale Weather Prediction.

Zhongnan Zhang, Weili Wu, Yaochun Huang

Proceedings of the 28th International Computer Software and Applications Conference (COMPSAC 2004), 2004