Yuxin Chen, Yuqi Wen, Chenyang Xie, Xinjian Chen, Song He*, Xiaochen Bo*, Zhongnan Zhang*. MOCSS: Multi-omics data clustering and cancer subtyping via shared and specific representation learning. ISCIENCE, Volume26, Issue8, 107378. (中科院2区, Cell旗下)
Yuqi Wen, Linyi Zheng, Dongjin Leng, Chong Dai, Jing Lu, Zhongnan Zhang*, Song He*, and Xiaochen Bo*. Deep Learning-Based Multiomics Data Integration Methods for Biomedical Application. ADVANCED INTELLIGENT SYSTEMS, Volume5, Issue5, 2200247. (中科院3区)
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. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 3031-3038, Las Vegas, NV, United states. (EI, CCF B类)
Dongjin Leng, Linyi Zheng, Yuqi Wen, Yunhao Zhang, Lianlian Wu, Jing Wang, Meihong Wang, Zhongnan Zhang*, Song He*, and Xiaochen Bo*. A benchmark study of deep learning-based multi-omics data fusion methods for cancer. GENOME BIOLOGY, 23, Article number: 171. (中科院1区 Top)
Kanghao Shao, Yunhao Zhang, Yuqi Wen, Zhongnan Zhang*, Song He*, and Xiaochen Bo*. DTI-HETA: Prediction of drug-target interactions based on GCN and GAT on heterogeneous graph. Briefings in Bioinformatics, bbac109, https://doi.org/10.1093/bib/bbac109, 2022. (中科院2区, CCF B类)
Jie Yang, Song He, Zhongnan Zhang*, Xiaochen Bo*. NegStacking: drug-target interaction prediction based on ensemble learning and logistic regression. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 18(6), 2021, 2624-263. (中科院3区, CCF B类)
Yihua Ye, Yuxin Chen, Zhongnan Zhang*, Yuqi Wen, Song He*, and Xiaochen Bo*. Drug-target interaction prediction based on non-negative and self-representative matrix factorization. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 2352-2359, Houston, TX, USA. (EI, CCF B类)
Peng Ke, Yuqi Wen, Zhongnan Zhang*, Song He*, Xiaochen Bo*. A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network. 30th International Conference on Artificial Neural Networks (ICANN), LNCS 12891, pp. 465–476, 2021. https://doi.org/10.1007/978-3-030-86362-3_38 (EI, CCF C类)
Xupeng Zou, Zhongnan Zhang*, Zhen He*, and Liang Shi*. Unsupervised Ensemble Learning with Noisy Label Correction. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21), July 11-15, 2021, Virtual Event, Canada. ACM, New York, NY, USA. (EI, CCF A类)
Jianjian Yan, Zhongnan Zhang*, Huailin Dong. AdaDT: An adaptive decision tree for addressing local class imbalance based on multiple split criteria. Applied Intelligence, 51, 4744–4761 (2021). (中科院2区, CCF C类)
Kanghao Shao, Zhongnan Zhang*, Song He, Xiaochen Bo*. DTIGCCN: Prediction of drug-target interactions based on GCN and CNN, 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), 337-342, Baltimore, MD, USA. (EI, CCF C类)
Jianjian Yan, Zhongnan Zhang*, Kunhui Lin*, Fan Yang*, Xiongbiao Luo. A hybrid scheme-based one-vs-all decision trees for multi-class classification tasks, Knowledge-Based Systems, 198 (2020), 105922. (中科院1区 Top, CCF C类)
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, Bioinformatics, 36(9), 2020, 2848–2855. (中科院2区, CCF B类)
Kang Yang, Zhongnan Zhang*, Song He and Xiaochen Bo*. Prediction of DTIs for high-dimensional and class-imbalanced data based on CGAN. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) , 788-791, Madrid, Spain, 2018. (EI, CCF B类)
Xiaoping Zheng, Song He, Xinyu Song, Zhongnan Zhang*, Xiaochen Bo*. DTI-RCNN: New efficient hybrid neural network model to predict drug–target interactions. 27th International Conference on Artificial Neural Networks (ICANN), LNCS 11139:104-114, 2018. (EI, CCF C类)
Lingwei Xie, Song He, Xinyu Song, Xiaochen Bo*, Zhongnan Zhang*. Deep learning-based transcriptome data classification for drug-target interaction prediction, BMC genomics, 19, Suppl 7, 667, 2018.9.24. (中科院2区Top)
Zhongnan Zhang*, Lei Hu, Ming Qiu, Fangyuan Gao. Events detection and community partition based on probabilistic snapshot for evolutionary social network, Peer-to-Peer Networking and Applications, 10(6), 1272–1284, 2017. (CCF C类)
Lingwei Xie, Song He, Yuqi Wen, Xiaochen Bo*, Zhongnan Zhang*. Discovery of novel therapeutic properties of drugs from transcriptional responses based on multi-label classification, SCIENTIFIC REPORTS, 7, 7136, 2017. (中科院3区)
Lingwei Xie, Zhongnan Zhang*, Song He, Xiaochen Bo*, Xinyu Song. Drug–target interaction prediction with a deep-learning-based model. 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 469-476, 2017. (EI, CCF B类)
Tingxi Wen, Zhongnan Zhang*, Kelvin K. L. Wong. Multi-Objective Algorithm for Blood Supply via Unmanned Aerial Vehicles to the Wounded in an Emergency Situation, PLOS ONE, 11(5), e0155176, 2016. (中科院3区)
Lei Hu, Zhongnan Zhang*, Fangyuan Gao. Probabilistic Snapshot Based Evolutionary Social Network Events Detection. 10th International Conference on Mobile Ad-hoc and Sensor Networks, pp. 243-250, Maui, Hawaii, USA, 2014. (EI, CCF C类)
