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2020 – today
- 2023
[j10]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)- [c21]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: 835-840 - [c20]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: 930-935 - [c19]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: 947-954 - 2022
- [j9]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) - [c18]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: 3031-3038 - 2021
- [j8]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): 4744-4761 (2021) - [j7]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): 2624-2634 (2021) - [c17]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: 2352-2359 - [c16]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: 465-476 - [c15]Xupeng Zou, Zhongnan Zhang, Zhen He, Liang Shi:
Unsupervised Ensemble Learning with Noisy Label Correction. SIGIR 2021: 2308-2312 - 2020
- [j6]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): 2848-2855 (2020) - [j5]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: 105922 (2020) - [c14]Kanghao Shao, Zhongnan Zhang, Song He, Xiaochen Bo:
DTIGCCN: Prediction of drug-target interactions based on GCN and CNN. ICTAI 2020: 337-342 - [e1]Weili Wu, Zhongnan Zhang:
Combinatorial Optimization and Applications - 14th International Conference, COCOA 2020, Dallas, TX, USA, December 11-13, 2020, Proceedings. Lecture Notes in Computer Science 12577, Springer 2020, ISBN 978-3-030-64842-8 [contents]
2010 – 2019
- 2019
- [j4]Jianjian Yan, Zhongnan Zhang, Lingwei Xie, Zhantu Zhu:
A Unified Framework for Decision Tree on Continuous Attributes. IEEE Access 7: 11924-11933 (2019) - 2018
- [j3]Tingxi Wen, Zhongnan Zhang:
Deep Convolution Neural Network and Autoencoders-Based Unsupervised Feature Learning of EEG Signals. IEEE Access 6: 25399-25410 (2018) - [c13]Kang Yang, Zhongnan Zhang, Song He, Xiaochen Bo:
Prediction of DTIs for high-dimensional and class-imbalanced data based on CGAN. BIBM 2018: 788-791 - [c12]Zhantu Zhu, Ming Zeng, Zhongnan Zhang, Huailin Dong:
Efficient Inference and Update via WordNet-Embedded Network Tree. CISP-BMEI 2018: 1-9 - [c11]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: 104-114 - [i2]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 abs/1810.00867 (2018) - 2017
- [j2]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): 1272-1284 (2017) - [c10]Lingwei Xie, Zhongnan Zhang, Song He, Xiaochen Bo, Xinyu Song:
Drug - target interaction prediction with a deep-learning-based model. BIBM 2017: 469-476 - [i1]Tingxi Wen, Zhongnan Zhang:
Effective and Extensible Feature Extraction Method Using Genetic Algorithm-Based Frequency-Domain Feature Search for Epileptic EEG Multi-classification. CoRR abs/1701.06120 (2017) - 2016
- [c9]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: 592-597 - [c8]Shijing Zhang, Huailin Dong, Zhongnan Zhang, Qingfeng Wu:
The role of control based on three-dimensional human model. ICCSE 2016: 802-807 - 2015
- [c7]Tingxi Wen, Zhongnan Zhang, Meihong Wang:
A Parallel Bee Colony Algorithm for Resource Allocation Application in Cloud Computing Environment. DSDIS 2015: 153-160 - 2014
- [c6]Lei Hu, Zhongnan Zhang, Fangyuan Gao:
Probabilistic Snapshot Based Evolutionary Social Network Events Detection. MSN 2014: 243-250
2000 – 2009
- 2008
- [c5]Zhongnan Zhang, Weili Wu, Yaochun Huang:
Effective Spatio-temporal Analysis of Remote Sensing Data. APWeb 2008: 584-589 - [c4]Zhongnan Zhang, Weili Wu:
Composite Spatio-Temporal Co-occurrence Pattern Mining. WASA 2008: 454-465 - 2007
- [j1]Yaochun Huang, Hui Xiong, Weili Wu, Ping Deng, Zhongnan Zhang:
Mining maximal hyperclique pattern: A hybrid search strategy. Inf. Sci. 177(3): 703-721 (2007) - 2006
- [c3]Ping Deng, Weili Wu, Yaochun Huang, Zhongnan Zhang:
A Projected Clustering Algorithm in High Dimensional Space. SEDE 2006: 286-291 - 2004
- [c2]Zhongnan Zhang, Weili Wu, Yaochun Huang:
Mining Dynamic Interdimension Association Rules for Local-Scale Weather Prediction. COMPSAC Workshops 2004: 146-149 - [c1]Yaochun Huang, Hui Xiong, Weili Wu, Zhongnan Zhang:
A Hybrid Approach for Mining Maixmal Hyperclique Patterns. ICTAI 2004: 354-361
Coauthor Index
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