个人简介
2008年毕业于哈尔滨工业大学获计算机应用技术专业工学博士学位，并进入复旦大学计算机科学技术学院从事博士后研究工作。
2010年出站后留校任教，期间于2014年在美国密歇根大学进行访学。
2016年起任职于华东师范大学。
研究领域
数据科学应用技术；信息系统开发；在线教育；网络信息学；生物信息学
近期论文
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Jing XiaoYang,Dong Qiwen, Lu Rruqian. RRCRank: a fusion method using rank strategy forresidue-residue contact prediction. BMC Bioinformatics 2017, 18(1):390.
Jing Xiaoyang,Dong Qiwen. MQAPRank: improved global protein model quality assessment bylearning-to-rank. BMC Bioinformatics 2017, 18(1):275.
金丽娇, 傅云斌, 董启文. "基于卷积神经网络的自动问答." 华东师范大学学报(自然科学版). 2017, 195 (5):66-79.
李彦斌, 潘妍虹, 顾航, 王雷, 史兵, 孙晨, 夏帆, 董启文,宋树彬. "研究生学籍系统的设计与实现." 华东师范大学学报(自然科学版). 2017, 195 (05):213-24.
史兵, 夏帆, 宋树彬, 肖李敏, 董启文, 周傲英, and 徐林昊. "研究生信息平台中运维系统的设计与实现." 华东师范大学学报(自然科学版). 2017,195(05):225-35.
肖垚, 毕军芳, 韩易, 董启文."在线广告中点击率预测研究." 华东师范大学学报(自然科学版),2017, 195 (05):80-6+100.
郁可人, 傅云斌, 董启文. "基于神经网络语言模型的分布式词向量研究进展." 华东师范大学学报(自然科学版). 2017, 195 (05):52-65
Liu B., Wang S.Y., Dong Q.W., Li S.M.and Liu X. Identification of DNA-Binding Proteins by Combining Auto-CrossCovariance Transformation and Ensemble Learning. Ieee Transactions on Nanobioscience, 2016, 15(4): 328-334.
JingX., Wang K., Lu R. and Dong Q. Sorting protein decoys bymachine-learning-to-rank. Sci Rep,2016, 6: 31571.
JingX. and Dong Q. Improved protein residue-residue contacts prediction usinglearning-to-rank. in 2016 IEEE International Conference on Bioinformatics andBiomedicine (BIBM). 2016, Shenzhen, China116-121.
HuX., Wang K. and Dong Q. Protein ligand-specific binding residue predictions byan ensemble classifier. BMCBioinformatics, 2016, 17(1): 470.
DongQ., Wang K. and Liu X. Identifying the missing proteins in human proteome bybiological language model. BMCSystems Biology, 2016, 10(4): 393-399.
DongQ., Wang K., Liu B. and Liu X. Characterization and Prediction of ProteinFlexibility Based on Structural Alphabets.BioMed Research International, 2016, 2016: 4628025.
HuX., Dong Q., Yang J. and Zhang Y. Recognizing metal and acid radicalion-binding sites by integrating ab initio modeling with template-basedtransferals. Bioinformatics, 2016,32(21): 3260-3269.
Qiwen Dong, Rajasree, Menon, Gilbert, Omenn, Yang Zhang, A Structural Bioinformatics Inspection ofneXtProt PE5 Proteins in the Human Proteome. J Proteome Res, 2015, 14, (9),pp. 3750-3761.
QiwenDong, Shanyi Wang, Kai Wang, Xuan Liu, and Bin Liu, Identification of DNA-binding proteins by auto-cross covariancetransformation. 2015 IEEE International Conference on Bioinformatics andBiomedicine (IEEE BIBM 2015) pp. 470-475
XiaoyangJing, Qiwen Dong*, Xuan Liu, and Bin Liu, Proteinmodel quality assessment by learning-to-rank. 2015 IEEE InternationalConference on Bioinformatics and Biomedicine (IEEE BIBM 2015) pp. 91-96
Qiwen Dong and Kai Wang, Identifying the missing protein in humanproteome by structure and function prediction. The 9th InternationalConference on Bioinformatics and Biomedical Engineering (iCBBE 2015).
BinLiu, Deyuan Zhang, Ruifeng Xu, Jinghao Xu, Xiaolong Wang, Qingcai Chen, QiwenDong, and Kuo-Chen Chou, Combiningevolutionary information extracted from frequency profiles with sequence-basedkernels for protein remote homology detection. Bioinformatics, 2014. 30(4): p. 472-479.
BinLiu, Xiaolong Wang, Quan Zou, Qiwen Dong, and Qingcai Chen, Protein Remote Homology Detection byCombining Chou’s Pseudo Amino Acid Composition and Profile‐Based Protein Representation. molecular informatics, 2013. 32(9‐10): p.775-782.
BinLiu, Xiaolong Wang, Qingcai Chen, Qiwen Dong, and Xun Lan, Using amino acid physicochemical distance transformation for fastprotein remote homology detection. Plos One, 2012. 7(9): p. e46633.
XinGeng, Jihong Guan, Qiwen Dong, and Shuigeng Zhou, An Improved Genetic Algorithm for Statistical Potential Function Designand Protein Structure Prediction. Internal journal of datamining andbioinformatics, 2012. 6(2): p.162-177.
YanfengZhang, Bin Liu, Qiwen Dong, and Victor X. Jin, An Improved Profile-Level Domain Linker Propensity Index for ProteinDomain Boundary Prediction. Protein and Peptide Letters, 2011. 18(1): p. 7-16.
Xuan Liu, Lijie Zhao, and Qiwen Dong*, Protein remote homology detection based onauto-cross covariance transformation. Comput Biol Med, 2011. 41(8): p. 640-7.
Qiwen Dong and Shuigeng Zhou, Novel nonlinear knowledge-based mean forcepotentials based on machine learning. IEEE/ACM Trans Comput Biol Bioinform,2011. 8(2): p. 476-486.
Qiwen Dong, Yufei Chen, and Shuigeng Zhou, A machine learning-based method for proteinglobal model quality assessment. Internal journal of general system, 2011. 40(4): p. 417-425.
Lei Deng, Jihong Guan, Qiwen Dong,and Shuigeng Zhou, SemiHS: An IterativeSemi-Supervised Approach for Predicting Protein-protein Interaction Hot Spots Proteinand Peptide Letters, 2011. 18(9): p.896-905.
学术兼职
任中国计算机学会生物信息学专委会委员
曾作为Plos one, BMC Bioinformatics等刊物的特约审稿人、IJCBS程序委员会委员、IDT会议分会主席
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