所研究方向：

多模态融合，特征表征，特征选择，生物信息学，健康大数据挖掘，深度学习，并行计算等

讲授课程：

健康大数据挖掘，机器学习与Python，Python编程等

教育经历：

• 1996-2000: 中国科学技术大学，少年班学院，计算机软件

• 2000-2005: 中国科学技术大学，计算机学院，计算机软件

工作经历：

教授，博士生导师，中国科学院百人计划，IEEE（美国电气和电子工程师协会）高级会员。周丰丰博士的团队主要从事健康大数据挖掘核心算法的研究。

周博士于2005年7月获得中国科学技术大学计算机软件与理论专业博士学位，师从中科院院士陈国良院士。于2005年9月在美国乔治亚大学生物信息研究所所长徐鹰教授的实验室担任生物信息学博士后，从事比较基因组学方面的研究，并分别于2008年12月和2009年1月晋升为生物能源计算生物学研究组组长和健康信息学助理研究科学家。2011年被中国科学院深圳先进技术研究院聘用为健康信息学研究员。2015年被吉林大学聘用为健康大数据教授、博导。

已发表SCI索引学术论文93篇，根据SCI数据库统计，总引用次数1771次，他引次数1366次。学术成果多次在包括Nature Protocols（影响因子9.673，1篇）、Nucleic   Acids Research（影响因子9.112， 3篇）、Bioinformatics（影响因子4.981，3篇）、BMC Genomics（影响因子3.986， 2篇）和Genetics（影响因子5.963，1篇）等高水平SCI索引学术期刊上发表。相关成果连续荣获国际疾病预测竞赛2012年度第三名（共55个学术团队参加）和2013年度第四名（共28个学术团队参加）、2014年度第二届中国大数据技术创新大赛（中国计算机学会大数据专家委员会）的成功参与奖、2015年度“中国好创意”全国青年大数据创新大赛（国家互联网信息办公室网络数据与技术局、中国计算机学会）的二等奖、和2020年度阿里云天池大赛“AI开发者创新应用赛”创新奖。应邀担任Computers in Biology and Medicine (SCI索引，影响因子7.700，中科院一区)的副主编、和Interdisciplinary Sciences: Computational   Life Sciences (SCI索引，影响因子4.800，中科院二区) 副主编，并多次应邀评审国际和国内项目标书、国际学术期刊和会议的投稿论文。

目前已毕业的学生找到的工作机会包括阿里巴巴、百度和南方信投等大数据挖掘领域的大数据分析师等职位，也有多位HILabers选择国内外顶级高校继续深造。欢迎有志于从事大数据领域研究和开发的同学申请和报考本实验室的计算机学院计算机应用专业学术博士、计算机学院的学硕（计算机应用专业）/专硕（电子信息专业）研究生、以及软件工程学院的学硕（软件工程专业）/专硕（电子信息专业）研究生。

科研项目：

曾经与正在承担相关项目500万。

学术论文：

* 共同第一作者， # 通信作者，标为红色的是近期论文。以下为部分论文列表，近期论文也可以在搜索引擎中用英文 Fengfeng Zhou 来检索。

1. Meiyu Duan, Yaqing Liu, Dong Zhao, Haijun Li, Gongyou Zhang, Hongmei   Liu, Yueying Wang, Yusi Fan, Lan Huang, Fengfeng Zhou#,   “Gender-specific dysregulations of nondifferentially expressed biomarkers of   metastatic colon cancer”. Computational   Biology and Chemistry , 104: 107858, 2023. (影响因子：3.737，分区：3区)

2. Changfan   Luo, Yiping Xu, Yongkang Shao, Zihan Wang, Jianzheng Hu, Jiawei Yuan, Yuchen   Liu, Meiyu Duan, Lan Huang, Fengfeng   Zhou#, “EvaGoNet: An integrated network of variational   autoencoder and Wasserstein generative adversarial network with gradient   penalty for binary classification tasks”. Information   Sciences, 629: 109-122, 2023. (影响因子：8.233，分区：1区)

3. Xiaoying   Lv, Xue Li, Shihong Chen, Gongyou Zhang, Kewei Li, Yueying Wang, Meiyu Duan, Fengfeng Zhou#, Hongmei Liu, “Transcriptional Dysregulations of Seven   Non-Differentially Expressed Genes as Biomarkers of Metastatic Colon Cancer”.   Genes, 14(6): 1138, 2023. (影响因子：4.141，分区：3区)

4. Gancheng   Zhu, Yusi Fan, Fei Li, Annebella Tsz Ho Choi, Zhikang Tan, Yiruo Cheng, Kewei   Li, Siyang Wang, Changfan Luo, Hongmei Liu, Gongyou Zhang, Zhaomin Yao, Yaqi   Zhang, Lan Huang, Fengfeng Zhou#,   “GSRNet, an adversarial training-based deep framework with multi-scale CNN   and BiGRU for predicting genomic signals and regions”. Expert Systems with Applications, 229: 120439, 2023. (影响因子：8.665，分区：1区)

5. Fei   Li, Shuai Liu, Kewei Li, Yaqi Zhang, Meiyu Duan, Zhaomin Yao, Gancheng Zhu,   Yutong Guo, Ying Wang, Lan Huang, Fengfeng   Zhou#, ” EpiTEAmDNA: Sequence feature representation via transfer   learning and ensemble learning for identifying multiple DNA epigenetic   modification types across species”. Computers in Biology and   Medicine, 160: 107030, 2023. (影响因子：6.698，分区：1区)

6. Shuai   Liu, Ruili Chen, Yun Gu, Qiong Yu, Guoxiong Su, Yanjiao Ren, Lan Huang,   Fengfeng Zhou#, “AcneTyper: An automatic diagnosis method of dermoscopic   acne image via self-ensemble and stacking”. Technology and Health Care: 1-17, 2022. (影响因子：1.205，分区：4区)

7. Ruihao   Xin, Xin Feng, Hang Zhang, Yueying Wang, Meiyu Duan, Tunyang Xie, Lin Dong,   Qiong Yu, Lan Huang, Fengfeng Zhou#, “Seven non-differentially   expressed ‘dark biomarkers’ show transcriptional dysregulation in chronic   lymphocytic leukemia”. Personalized   Medicine, 2022 (0). (影响因子：2.119，分区：4区)

8. Shuai   Liu, Yusi Fan, Kewei Li, Haotian Zhang, Xi Wang, Ruofei Ju, Lan Huang, Meiyu   Duan, Fengfeng Zhou#, “Integration of lncRNAs, Protein-Coding Genes   and Pathology Images for Detecting Metastatic Melanoma”. Genes, 13(10): 1916, 2022.

9. Meiyu Duan, Yueying Wang, Ya Qiao, Yangyang Wang, Xingyuan Pan, Zhuyu   Hua, Yanyue Ran, Xian Fu, Yusi Fan, Lan Huang, Fengfeng Zhou#, “Pan-cancer identification of the relationship   of metabolism-related differentially expressed transcription regulation with   non-differentially expressed target genes via a gated recurrent unit   network”. Computers in Biology and   Medicine, 148: 105883, 2022.

10. Shuai Liu, Yusi Fan, Meiyu Duan, Yueying Wang, Guoxiong Su, Yanjiao   Ren, Lan Huang, Fengfeng   Zhou#,   “AcneGrader: An ensemble pruning of the deep learning base models to grade   acne”. Skin Research and Technology,   28(5): 677-688, 2022.

11. Qian Wang, Meiyu Duan, Yusi Fan, Shuai Liu, Yanjiao Ren, Lan Huang, Fengfeng Zhou#, “Transforming OMIC features for classification   using siamese convolutional networks”. Journal   of Bioinformatics and Computational Biology, 20(3): 2250013-2250013,   2022.

12. Yaqi Zhang, Gancheng Zhu, Kewei Li, Fei Li, Lan Huang, Meiyu Duan, Fengfeng Zhou#,“HLAB: learning the BiLSTM features from the   ProtBert-encoded proteins for the class I HLA-peptide binding prediction”. Briefings in Bioinformatics, 23(5):   bbac173, 2022.

13. Chunyan Tang, Cheng Zhong, Mian Wang, Fengfeng Zhou#, “FMGNN: A method to predict compound- protein   interaction with pharmacophore features and physicochemical properties of   amino acids”. IEEE/ACM Transactions on   Computational Biology and Bioinformatics, 20(2): 1030-1040, 2022.

14. Chengfeng Xu, Ruochi Zhang, Meiyu Duan, Yongming Zhou, Jizhang Bao, Hao   Lu, Jie Wang, Minghui Hu, Zhaoyang Hu, Fengfeng Zhou, Wenwei Zhu#, “A polygenic stacking classifier   revealed the complicated platelet transcriptomic landscape of adult immune   thrombocytopenia”. Molecular   Therapy-Nucleic Acids, 28: 477-487, 2022.

15. Daiguo Deng, Zengrong Lei, Xiaobin Hong, Ruochi Zhang*, Fengfeng Zhou*, “Describe Molecules by a Heterogeneous Graph   Neural Network with Transformer-like Attention for Supervised Property   Predictions”. ACS omega, 7(4):   3713-3721, 2022.

16. Heyu Meng, Yueying Wang, Jianjun Ruan, Yanqiu   Chen, Xue Wang, Fengfeng Zhou, Fanbo Meng#, “Decreased Iron Ion   Concentrations in the Peripheral Blood Correlate with Coronary   Atherosclerosis”. Nutrients,   14(2): 319, 2022.

17. Meiyu Duan, Lei Zhang, Yueying Wang, Yusi   Fan, Shuai Liu, Qiong Yu, Lan Huang, Fengfeng Zhou#, “Computational pan-cancer   characterization of model-based quantitative transcription regulations   dysregulated in regional lymph node metastasis”. Computers in Biology and Medicine, 135: 104571, 2021.

18. Shuai Liu, Zheng   Chen, Huahui Zhou, Kunlin He, Meiyu Duan, Qichen Zheng, Pengcheng Xiong, Lan   Huang, Qiong Yu, Guoxiong Su, Fengfeng Zhou#, “DiaMole: Mole   Detection and Segmentation Software for Mobile Phone Skin Images”. Journal of Healthcare Engineering,   2021: 1-10, 2021.

19. Sida Gao, Puli   Wang, Yuming Feng, Xuchen Xie, Meiyu Duan, Yusi Fan, Shuai Liu, Lan Huang, Fengfeng Zhou#, “RIFS2D: A two-dimensional version of a   randomly restarted incremental feature selection algorithm with an   application for detecting low-ranked biomarkers”. Computers in Biology and Medicine, 133:104405, 2021.

20. Daiguo Deng,   Xiaowei Chen, Ruochi Zhang, Zengrong Lei, Xiaojian Wang#, Fengfeng Zhou#, “XGraphBoost: Extracting Graph Neural   Network-Based Features for a Better Prediction of Molecular Properties”. Journal of chemical information and   modeling, 61(6): 2697-2705, 2021.

21. Fengfeng Zhou, Meiyu Duan,   “Impacts of high-quality public data: Special issue on integrating public and   in-house biomedical data”. Journal of   Bioinformatics and Computational Biology, 19(03): 2102002, 2021.

22. Xiangju Liu, Yu   Zhang, Chunli Fu, Ruochi Zhang, Fengfeng Zhou#, “EnRank: An   Ensemble Method to Detect Pulmonary Hypertension Biomarkers Based on Feature   Selection and Machine Learning Models”. Frontiers   in Genetics, 12:601, 2021.

23. Tong Shao,   Wenfang Wang, Meiyu Duan, Jiahui Pan, Zhuoyuan Xin, Baoyue Liu, Fengfeng Zhou, Guoqing Wang, “Application of Bayesian   phylogenetic inference modelling for evolutionary genetic analysis and   dynamic changes in 2019-nCoV”. Briefings in bioinformatics, 22(2): 896-904, 2021.

24. Gancheng Zhu,   Yuci Zhou, Fengfeng Zhou, Min Wu,   Xiangping Zhan, Yingdong Si, Peng Wang, Jun Wang#, “Proactive Personality   Measurement Using Item Response Theory and Social Media Text Mining”. Frontiers in Psychology, 2784, 2021.

25. Jiahui Pan, Xizi   Luo, Jiang Bian, Tong Shao, Chaoying Li, Tingting Zhao, Shiwei Zhang, Fengfeng Zhou, Guoqing Wang, “Identification of Genomic   Islands in Synechococcus sp. WH8102 Using Genomic Barcode and Whole-Genome   Microarray Analysis”. Current Bioinformatics, 16(1): 24-30, 2021.

26. Yaoyao Sun,   Yueying Wang, Rixin Li, Guojun Kang, Mingyuan Zhang, Xin Chen, Mengdi Jin,   Yang Liu, Yang He, Xiaojing Zhu, Qi Kang, Fengfeng Zhou, Qiong Yu#, “ Surgical resection of primary   tumor is associated with prolonged survival in low-grade pancreatic   neuroendocrine tumors”. Clinics and research in hepatology and   gastroenterology, 45(1): 101432,   2021.

27. Xuechen Mu, Yueying Wang, Meiyu Duan, Shuai Liu,   Fei Li, Xiuli Wang, Kai Zhang, Lan Huang, Fengfeng Zhou#, “A Novel Position-Specific Encoding Algorithm   (SeqPose) of Nucleotide Sequences and Its Application for Detecting   Enhancers”. International Journal of Molecular Sciences, 22(6):3079, 2021.

28. Quewang Liu, Yueying Wang, Meiyu Duan, Yusi   Fan, Xingyuan Pan, Shuai Liu, Qiong Yu, Lan Huang, Fengfeng Zhou#,   “Females and Males Show Differences in Early-Stage Transcriptomic Biomarkers   of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma”. Diagnostics,   11:2(347), 2021.

29. Yueying Wang, Shuai Liu, Zhao Wang, Yusi Fan,   Jingxuan Huang, Lan Huang, Zhijun Li, Xinwei Li, Mengdi Jin, Qiong Yu#,   Fengfeng Zhou#, “A Machine Learning-Based Investigation of   Gender-Specific Prognosis of Lung Cancers”. Medicina, 57(2):99, 2021.

30. Yuanyuan Han, Lan Huang#, Fengfeng Zhou#,   “A dynamic recursive feature elimination framework (dRFE) to further refine a   set of OMIC biomarkers”. Bioinformatics,   37(15): 2183-2189, 2021. (影响因子：5.610，分区：2区)

31. Shuai Liu, Han Li, Qichen Zheng, Lu Yang,   Meiyu Duan, Xin Feng, Fei Li, Lan Huang, Fengfeng Zhou#, “Survival   time prediction of breast cancer patients using feature selection algorithm   Crystall”. IEEE Access, 9:24433-24445, 2021.

32. Haishi Zhao, Lorenzo Bruzzone, Renchu Guan,   Fengfeng Zhou, Chen Yang#, “Spectral-Spatial Genetic   Algorithm-Based Unsupervised Band Selection for Hyperspectral Image   Classification”. IEEE Transactions on   Geoscience and Remote Sensing, 59(11): 9616-9632, 2021.

33. Heyu Meng, Yueying Wang, Fengfeng Zhou,   Jianjun Ruan, Meiyu Duan, Xue Wang, Qiong Yu, Ping Yang, Weiwei Chen, Fanbo   Meng#, “Reduced Serum Zinc Ion Concentration Is Associated with Coronary   Heart Disease”. Biological Trace Element Research, 1-10, 2021.

34. Ruochi Zhang, Zhehao Guo, Yue Sun, Qi Lu,   Zijian Xu, Zhaomin Yao, Meiyu Duan, Shuai Liu, Yanjiao Ren, Lan Huang, Fengfeng   Zhou#, “COVID19XrayNet: A Two-Step Transfer Learning Model for the   COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images”. Interdisciplinary   Sciences: Computational Life Sciences, 12(4): 555-565, 2020.

35. Jinpu Cai, Yuyang Xu, Wen Zhang, Shiying   Ding, Yuewei Sun, Jingyi Lyu, Meiyu Duan, Shuai Liu, Lan Huang, Fengfeng   Zhou#, “A comprehensive comparison of residue-level methylation levels   with the regression-based gene-level methylation estimations by ReGear”. Briefings   in Bioinformatics, 22(4):bbaa253, 2021. (影响因子：8.990，分区：2区)

36. Zhipeng Wei, Shiying Ding, Meiyu Duan, Shuai   Liu, Lan Huang, Fengfeng Zhou#, “FeSTwo, a two-step feature selection   algorithm based on feature engineering and sampling for the chronological age   regression problem”. Computers in Biology and Medicine, 125: 104008,   2020.

37. Jialiang Li,   Zhaomin Yao, Meiyu Duan, Shuai Liu, Fei Li, Haiyang Zhu, Zhiqiang Xia, Lan   Huang, Fengfeng Zhou#, “MuscNet, a   Weighted Voting Model of Multi-Source Connectivity Networks to Predict Mild   Cognitive Impairment Using Resting-State Functional MRI”. IEEE Access,   8: 174023-174031, 2020.

38. Haochen Yao, Nan   Zhang, Ruochi Zhang, Meiyu Duan, Tianqi Xie, Jiahui Pan, Ejun Peng, Juanjuan   Huang, Yingli Zhang, Xiaoming Xu, Hong Xu#, Fengfeng Zhou#, Guoqing Wang#.   “Severity Detection for the Coronavirus Disease 2019 (COVID-19) Patients   Using a Machine Learning Model Based on the Blood and Urine Tests”. Frontiers   in Cell and Developmental Biology,8:683, 2020. (影响因子：5.201，分区：2区)

39. Meiyu Duan,   Haoqiu Song, Chaoyu Wang, Jiaxin Zheng, Hui Xie, Yupeng He, Lan Huang, Fengfeng Zhou#. “Detection and Independent Validation of   Model-Based Quantitative Transcriptional Regulation Relationships Altered in   Lung Cancers”. Frontiers in Bioengineering and Biotechnology, 8:582, 2020. (影响因子：3.644，分区：2区)

40. Shuhan Yang, Bo   Li, Yinda Zhang, Meiyu Duan, Shuai Liu, Yexian Zhang, Xin Feng, Renbo Tan,   Lan Huang, Fengfeng Zhou#, “Selection of   features for patient-independent detection of seizure events using scalp EEG   signals”. Computers in Biology and Medicine, 119: 103671, 2020. (影响因子：3.434，分区：3区)

41. Xin Feng, Xubing   Hao, Ruoyao Shi, Zhiqiang Xia, Lan Huang, Qiong Yu#, Fengfeng Zhou#, “Detection and comparative analysis of   methylomic biomarkers of rheumatoid arthritis”. Frontiers in Genetics,   11: 238, 2020. (影响因子：3.258，分区：2区)

42. Xiaoqian Gao,   Shuai Liu, Haoqiu Song, Xin Feng, Meiyu Duan, Lan Huang, Fengfeng Zhou#, “AgeGuess, a Methylomic Prediction Model   for Human Ages”. Frontiers in Bioengineering and Biotechnology, 8: 80,   2020. (影响因子：3.644，分区：2区)

43. Zheng Chen, Meng   Pang, Zixin Zhao, Shuainan Li, Rui Miao, Yifan Zhang, Xiaoyue Feng, Xin Feng,   Yexian Zhang, Meiyu Duan, Lan Huang, Fengfeng Zhou#, “Feature   selection may improve deep neural networks for the bioinformatics problems”. Bioinformatics, 36(5): 1542-1552, 2020. (影响因子：5.610，分区：1区)

44. Chao Feng, Shufen   Liu, Hao Zhang, Renchu Guan, Dan Li, Fengfeng Zhou, Yanchun Liang,   Xiaoyue Feng, “Dimension Reduction and Clustering Models for Single-Cell RNA   Sequencing Data: A Comparative Study”. International Journal of   Molecular Sciences, 21(6): 2181, 2020. (影响因子：4.556，分区：2区)

获奖情况：

1. 2020年：阿里云天池大赛“AI开发者创新应用赛”创新奖，“智能问诊与辅助推荐系统”，指导老师。

2. 2019年：中国气象局2019年第二届全国智慧气象服务创新大赛“‘神气’大数据算法与应用赛（应用赛）”，三等奖，HI_bioknow代表队，指导老师。

3. 2016年： 国际排名第四，“Systems   Toxicology Computational Challenge”, sbv IMPROVER competition 2016, HILab代表队，指导老师。

4. 2015年：“中国好创意”全国青年大数据创新大赛（国家互联网信息办公室网络数据与技术局、中国计算机学会），“基于大数据的未知病原检测方法构建”赛题，二等奖，HI-15MW代表队，指导老师。

5. 2014年：第二届中国大数据技术创新大赛（中国计算机学会大数据专家委员会），HILab_SIAT代表队，成功参与奖，指导老师。

6. 2013年：疾病预警建模算法NetTrans荣获2013年度国际IMPROVER疾病预警建模竞赛第四名（共28个国际团队参加）。颁奖及学术交流会议，希腊雅典，2013年10月29-31日。

7. 2013年：中国科学院“百人计划”。

8. 2013年：深圳市海外高层次人才“孔雀计划”B类人才。

9. 2012年：疾病预警建模算法cPsoriasis荣获2012年度国际IMPROVER疾病预警建模竞赛－自免疫疾病第三名（共55个国际团队参加）。颁奖及学术交流会议，美国波士顿，2012年10月2-3日。

社会兼职：

1. 委员（2016-现在，首批委员），中国计算机学会生物信息学专业组，2016年-现在。

2. 委员（2016-现在），中国计算机学会计算机应用专业委员会，2016年-现在。

3. 通讯委员（2016-现在），中国计算机学会大数据专业委员会，2016年-现在。

4. 高级会员（2016年-现在），会员（2013-2016），中国计算机学会，2013-现在。

5. 终身会员（2013－现在），中国运筹学会，2013－现在。

6. 高级会员（2013－现在），会员（2012-2013），国际电子电路工程师协会（IEEE），2012－现在。

治学格言：

鼓励探索、严谨治学。