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)