Zhongnan Zhang

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 25

Top Topics

Class Imbalance

Ensemble Learning

Top Venues

Publications

Hongyan Ye, Yingying Song, Binyu Wang, Lianlian Wu, Song He, Xiaochen Bo, Zhongnan Zhang
HSGCL-DTA: Hybrid-scale Graph Contrastive Learning based Drug-Target Binding Affinity Prediction. ICTAI (2023)
Binyu Wang, Yunhao Zhang, Hongyan Ye, Lianlian Wu, Song He, Xiaochen Bo, Zhongnan Zhang
Drug-target and Drug-disease Association Prediction based on Drug-target-disease Network and Multi-task Learning. BIBM (2023)
Xinjian Chen, Chenyang Xie, Yunhao Zhang, Song He, Xiaochen Bo, Zhongnan Zhang
MoSCHG: Multi-omics Single-cell Classification based on Heterogeneous Graphs and Supervised Contrastive Learning. BIBM (2023)
Yuqi Wen, Linyi Zheng, Dongjin Leng, Chong Dai, Jing Lu, Zhongnan Zhang, Song He, Xiaochen Bo
Deep Learning-Based Multiomics Data Integration Methods for Biomedical Application. Adv. Intell. Syst. 5 (5) (2023)
Peng Ke, Shuke Xiang, Chenyang Xie, Yunhao Zhang, Zhen He, Zhongnan Zhang
Unsupervised continual learning of single-cell clustering based on novelty detection and memory replay. BIBM (2022)
Kanghao Shao, Yunhao Zhang, Yuqi Wen, Zhongnan Zhang, Song He, Xiaochen Bo
DTI-HETA: prediction of drug-target interactions based on GCN and GAT on heterogeneous graph. Briefings Bioinform. 23 (3) (2022)
Peng Ke, Yuqi Wen, Zhongnan Zhang, Song He, Xiaochen Bo
A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network. ICANN (1) (2021)
Jie Yang, Song He, Zhongnan Zhang, Xiaochen Bo
NegStacking: Drug-Target Interaction Prediction Based on Ensemble Learning and Logistic Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Jianjian Yan, Zhongnan Zhang, Huailin Dong
AdaDT: An adaptive decision tree for addressing local class imbalance based on multiple split criteria. Appl. Intell. 51 (7) (2021)
Yihua Ye, Yuxin Chen, Zhongnan Zhang, Yuqi Wen, Song He, Xiaochen Bo
Drug-target interaction prediction based on nonnegative and self-representative matrix factorization. BIBM (2021)
Xupeng Zou, Zhongnan Zhang, Zhen He, Liang Shi
Unsupervised Ensemble Learning with Noisy Label Correction. SIGIR (2021)
Kanghao Shao, Zhongnan Zhang, Song He, Xiaochen Bo
DTIGCCN: Prediction of drug-target interactions based on GCN and CNN. ICTAI (2020)
Jianjian Yan, Zhongnan Zhang, Kunhui Lin, Fan Yang, Xiongbiao Luo
A hybrid scheme-based one-vs-all decision trees for multi-class classification tasks. Knowl. Based Syst. 198 (2020)
Lingwei Xie, Song He, Zhongnan Zhang, Kunhui Lin, Xiaochen Bo, Shu Yang, Boyuan Feng, Kun Wan, Kang Yang, Jie Yang, Yufei Ding
Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds. Bioinform. 36 (9) (2020)
Jianjian Yan, Zhongnan Zhang, Lingwei Xie, Zhantu Zhu
A Unified Framework for Decision Tree on Continuous Attributes. IEEE Access 7 (2019)
Lingwei Xie, Song He, Shu Yang, Boyuan Feng, Kun Wan, Zhongnan Zhang, Xiaochen Bo, Yufei Ding
Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds. CoRR (2018)
Zhantu Zhu, Ming Zeng, Zhongnan Zhang, Huailin Dong
Efficient Inference and Update via WordNet-Embedded Network Tree. CISP-BMEI (2018)
Xiaoping Zheng, Song He, Xinyu Song, Zhongnan Zhang, Xiaochen Bo
DTI-RCNN: New Efficient Hybrid Neural Network Model to Predict Drug-Target Interactions. ICANN (1) (2018)
Kang Yang, Zhongnan Zhang, Song He, Xiaochen Bo
Prediction of DTIs for high-dimensional and class-imbalanced data based on CGAN. BIBM (2018)
Tingxi Wen, Zhongnan Zhang
Deep Convolution Neural Network and Autoencoders-Based Unsupervised Feature Learning of EEG Signals. IEEE Access 6 (2018)
Tingxi Wen, Zhongnan Zhang
Effective and Extensible Feature Extraction Method Using Genetic Algorithm-Based Frequency-Domain Feature Search for Epileptic EEG Multi-classification. CoRR (2017)
Lingwei Xie, Zhongnan Zhang, Song He, Xiaochen Bo, Xinyu Song
Drug - target interaction prediction with a deep-learning-based model. BIBM (2017)
Zhongnan Zhang, Lei Hu, Ming Qiu, Fangyuan Gao
Events detection and community partition based on probabilistic snapshot for evolutionary social network. Peer-to-Peer Netw. Appl. 10 (6) (2017)
Shijing Zhang, Huailin Dong, Zhongnan Zhang, Qingfeng Wu
The role of control based on three-dimensional human model. ICCSE (2016)
Chunfeng Li, Tingxi Wen, Huailin Dong, Qingfeng Wu, Zhongnan Zhang
Implementation of parallel multi-objective artificial bee colony algorithm based on spark platform. ICCSE (2016)
Tingxi Wen, Zhongnan Zhang, Meihong Wang
A Parallel Bee Colony Algorithm for Resource Allocation Application in Cloud Computing Environment. DSDIS (2015)
Lei Hu, Zhongnan Zhang, Fangyuan Gao
Probabilistic Snapshot Based Evolutionary Social Network Events Detection. MSN (2014)
Zhongnan Zhang, Weili Wu
Composite Spatio-Temporal Co-occurrence Pattern Mining. WASA (2008)
Zhongnan Zhang, Weili Wu, Yaochun Huang
Effective Spatio-temporal Analysis of Remote Sensing Data. APWeb (2008)
Yaochun Huang, Hui Xiong, Weili Wu, Ping Deng, Zhongnan Zhang
Mining maximal hyperclique pattern: A hybrid search strategy. Inf. Sci. 177 (3) (2007)
Ping Deng, Weili Wu, Yaochun Huang, Zhongnan Zhang
A Projected Clustering Algorithm in High Dimensional Space. SEDE (2006)
Zhongnan Zhang, Weili Wu, Yaochun Huang
Mining Dynamic Interdimension Association Rules for Local-Scale Weather Prediction. COMPSAC Workshops (2004)
Yaochun Huang, Hui Xiong, Weili Wu, Zhongnan Zhang
A Hybrid Approach for Mining Maixmal Hyperclique Patterns. ICTAI (2004)