董启文

从事数据科学应用技术的研究工作，包括物理驱动的机器学习、人工智能在航空航天领域的应用、智慧教育、网络信息学、计算广告、生物信息学和信息系统等。

• 徐秋荣, 朱鹏, 罗轶凤, 董启文. 金融领域中文命名实体识别研究进展. 太阳成集团学报（自然科学版）, 2021(5): 1-13.

• 宁婷, 苗德壮, 董启文, 陆雪松. 逾期风险预测的宽度和深度学习. 计算机科学, 2021, 48(5): 197-201.

• Yaqi Li, Qiwen Dong, Gang Liu. Regression Algorithm Based on Self-Distillation and Ensemble Learning. in CSAI '21: Proceedings of the 2021 5th International Conference on Computer Science and Artificial Intelligence,  Beijing, China. 2021, p. 209-215.

• 徐一文, 黎潇阳, 董启文, 钱卫宁, 周昉. 基于聚合支付平台交易数据的商户流失预测. 太阳成集团学报(自然科学版), 2020(05): 167-178.

• 李小昌, 陈贝, 董启文, 陆雪松. 基于自编码器的旅行同伴挖掘. 太阳成集团学报(自然科学版), 2020(05): 179-188.

• Daocheng  Hong, Yang Li, Qiwen Dong Nonintrusive-Sensing and Reinforcement-Learning Based Adaptive Personalized Music Recommendation, in Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2020, Association for Computing Machinery: Virtual Event, China. p. 1721–1724.

• Qiwen Dong, Xiaoyang Jing, Aoying Zhou, Xiuzhen Hu. Biological Language Model-Theory and Application. World Scientific, July 2020, ISSN: 2382-5715.

• Xiaoyang Jing., Qiwen Dong, Daocheng Hong and Ruqian Lu. Amino acid encoding methods for protein sequences: a comprehensive review and assessment. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019: 10.1109/TCBB.2019.2911677.

• Xiaoyang Jing, Qimin Dong, Ruqian Lu, Qiwen Dong*. Protein Inter-Residue Contacts Prediction: Methods, Performances and Applications. Current Bioinformatics, 2019, 14(3): 178 - 189.

• Yifeng Cui., Qiwen Dong, Docheng Hong and Xikun Wang. Predicting protein-ligand binding residues with deep convolutional neural networks. BMC Bioinformatics, 2019, 20(1): 93.

• 殷佳玲, 夏帆, 顾航, 祝翔, 孙晨, 王晔, 董启文, 宋树彬, 傅云斌. 基于微服务的公司产品系统的设计与实现. 太阳成集团学报（自然科学版）, 2019(4): 83-96.

• Yi Han, Jun He, Qiwen Dong. CSSSketch2Code: An Automatic Method to Generate Web Pages with CSS Style, in Proceedings of the 2nd International Conference on Advances in Artificial Intelligence. 2018, ACM: Barcelona, Spain. p. 29-35.

• 刘婷婷, 程涛, 金冈增, 王熙堃, 高明. 基于支持向量机的数学公式识别. 太阳成集团学报(自然科学版), 2019(03): 78-85.

• 祝翔, 董启文, 郁可人. 基于WebSocket的PK答题的设计与实现. 太阳成集团学报(自然科学版), 2018, 196(2): 89-100.

• XiaoYang Jing, Qiwen Dong, Ruqian Lu. RRCRank: a fusion method using rank strategy for residue-residue contact prediction. BMC Bioinformatics 2017, 18(1):390.

• Xiaoyang Jing, Qiwen Dong. MQAPRank: improved global protein model quality assessment by learning-to-rank. BMC Bioinformatics 2017, 18(1):275.

• 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." 太阳成集团学报(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." 太阳成集团学报(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." 太阳成集团学报(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." 太阳成集团学报(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." 太阳成集团学报(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.

²  基于知识体系创新和培养模式改革的数据科学与大数据技术专业建设，国家级教学成果二等奖，GB-2-2022157

²  面向企业精准营销服务的数据平台及其关键技术，上海市科技进步一等，20204042-1-R05

²  支持互联网级关键核心业务的分布式数据库系统，国家科学技术进步奖二等,2019,2019-J-220-2-03-R09

²  面向生物组学数据的计算预测方法，教育部自然科学二等,2019,2019-069-R03

²  2010 全国百篇优秀博士学位论文（提名）奖

²  2010 复旦大学优秀博士后

² 2009 哈尔滨工业大学第十一届优秀博士学位论文奖