Mining Dynamic Interdimension Association Rules for Local-Scale Weather Prediction. - Zhongnan Zhang; Weili Wu 001; Yaochun Huang (COMPSAC Workshops, 2004)

A Hybrid Approach for Mining Maixmal Hyperclique Patterns. - Yaochun Huang; Hui Xiong 001; Weili Wu 001; Zhongnan Zhang (ICTAI, 2004)

A Projected Clustering Algorithm in High Dimensional Space. - Ping Deng 001; Weili Wu 001; Yaochun Huang; Zhongnan Zhang (SEDE, 2006)

Mining maximal hyperclique pattern: A hybrid search strategy. - Yaochun Huang; Hui Xiong 001; Weili Wu 001; Ping Deng 001; Zhongnan Zhang (Inf. Sci., 2007)

Effective Spatio-temporal Analysis of Remote Sensing Data. - Zhongnan Zhang; Weili Wu 001; Yaochun Huang (APWeb, 2008)

Composite Spatio-Temporal Co-occurrence Pattern Mining. - Zhongnan Zhang; Weili Wu 001 (WASA, 2008)

Probabilistic Snapshot Based Evolutionary Social Network Events Detection. - Lei Hu; Zhongnan Zhang; Fangyuan Gao (MSN, 2014)

A Parallel Bee Colony Algorithm for Resource Allocation Application in Cloud Computing Environment. - Tingxi Wen; Zhongnan Zhang; Meihong Wang (DSDIS, 2015)

Implementation of parallel multi-objective artificial bee colony algorithm based on spark platform. - Chunfeng Li; Tingxi Wen; Huailin Dong; Qingfeng Wu; Zhongnan Zhang (ICCSE, 2016)

The role of control based on three-dimensional human model. - Shijing Zhang; Huailin Dong; Zhongnan Zhang; Qingfeng Wu (ICCSE, 2016)

Drug - target interaction prediction with a deep-learning-based model. - Lingwei Xie; Zhongnan Zhang; Song He; Xiaochen Bo; Xinyu Song 002 (BIBM, 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)

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)

Prediction of DTIs for high-dimensional and class-imbalanced data based on CGAN. - Kang Yang; Zhongnan Zhang; Song He; Xiaochen Bo (BIBM, 2018)

Efficient Inference and Update via WordNet-Embedded Network Tree. - Zhantu Zhu; Ming Zeng 008; Zhongnan Zhang; Huailin Dong (CISP-BMEI, 2018)

DTI-RCNN: New Efficient Hybrid Neural Network Model to Predict Drug-Target Interactions. - Xiaoping Zheng; Song He; Xinyu Song 002; Zhongnan Zhang; Xiaochen Bo (ICANN (1), 2018)

Deep Convolution Neural Network and Autoencoders-Based Unsupervised Feature Learning of EEG Signals. - Tingxi Wen; Zhongnan Zhang (IEEE Access, 2018)

Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds. - Lingwei Xie; Song He; Shu Yang; Boyuan Feng; Kun Wan 001; Zhongnan Zhang; Xiaochen Bo; Yufei Ding 001 (CoRR, 2018)

A Unified Framework for Decision Tree on Continuous Attributes. - Jianjian Yan; Zhongnan Zhang; Lingwei Xie; Zhantu Zhu (IEEE Access, 2019)

DTIGCCN: Prediction of drug-target interactions based on GCN and CNN. - Kanghao Shao; Zhongnan Zhang; Song He; Xiaochen Bo (ICTAI, 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 001; Kang Yang; Jie Yang; Yufei Ding 001 (Bioinform., 2020)

A hybrid scheme-based one-vs-all decision trees for multi-class classification tasks. - Jianjian Yan; Zhongnan Zhang; Kunhui Lin; Fan Yang 043; Xiongbiao Luo (Knowl. Based Syst., 2020)

Drug-target interaction prediction based on nonnegative and self-representative matrix factorization. - Yihua Ye; Yuxin Chen; Zhongnan Zhang; Yuqi Wen; Song He; Xiaochen Bo (BIBM, 2021)

A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network. - Peng Ke; Yuqi Wen; Zhongnan Zhang; Song He; Xiaochen Bo (ICANN (1), 2021)

Unsupervised Ensemble Learning with Noisy Label Correction. - Xupeng Zou; Zhongnan Zhang; Zhen He; Liang Shi (SIGIR, 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)

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)

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 (BIBM, 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)

MoSCHG: Multi-omics Single-cell Classification based on Heterogeneous Graphs and Supervised Contrastive Learning. - Xinjian Chen 007; Chenyang Xie; Yunhao Zhang; Song He; Xiaochen Bo; Zhongnan Zhang (BIBM, 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 (BIBM, 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 (ICTAI, 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., 2023)