周豐豐

生物信息學，健康大數據挖掘，深度學習，并行計算、舞蹈大數據、安全大數據等

• 1996-2000: 中國科學技術大學，少年班學院，計算機軟件

• 2000-2005: 中國科學技術大學，計算機學院，計算機軟件

　　教授，博士生導師，中國科學院百人計劃，伟德国际BETVlCTOR“唐敖慶”特聘教授，吉林省高層次人才B類人選，吉林省第六批拔尖創新人才第三層次人選，IEEE（美國電氣和電子工程師協會）高級會員。團隊主要從事健康大數據挖掘核心算法、以及融合生物組學、醫學影像、心電腦電和電子病曆等異構醫學大數據的融合建模算法等方面的研究。

　　主持或參與包括863和中科院先導等各級别項目，主持金額合計近500萬元。已發表SCI索引期刊學術論文104篇。根據SCI數據庫統計，總引用次數2083次，他引次數1614次。學術成果多次在包括Nature Protocols、Nucleic Acids Research、和Bioinformatics等學術期刊上發表。相關成果連續榮獲多次國際疾病預測競賽較好排名。應邀擔任多個SCI索引期刊的副主編或編委，并多次（每一類均超過20次）應邀評審國際和國内項目标書、國際學術期刊和會議的投稿論文。

　　目前已畢業的學生找到的工作機會包括阿裡巴巴、字節跳動、百度和南方信投等大數據挖掘領域的大數據分析師等職位，也有多位HILabers選擇國内外頂級高校繼續深造。歡迎有志于從事大數據領域研究和開發的同學保研和報考本實驗室的計算機應用專業博士研究生、計算機學院和軟件學院學碩和專碩。

* 共同第一作者， # 通信作者。以下為部分論文列表，近期論文也可以在⚜⭐〰✝引擎中用英文 Fengfeng Zhou 來檢索。HILab每年都有多位本科生作為第一作者或主要作者發表高水平SCI論文，提升了進一步深造的申請材料科研經曆。

1. 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”. Accepted by Computers in Biology and Medicine, 2021.

2. 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”. Accepted by Journal of Healthcare Engineering, 2021.

3. 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.

4. 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”. Accepted by Journal of Chemical Information and Modeling, 2021.

5. Fengfeng Zhou, Meiyu Duan, “Impacts of high-quality public data: Special issue on integrating public and in-house biomedical data”. Accepted by Journal of Bioinformatics and Computational Biology, 2021.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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.

14. Yuanyuan Han, Lan Huang#, Fengfeng Zhou#, “A dynamic recursive feature elimination framework (dRFE) to further refine a set of OMIC biomarkers”. Accepted by Bioinformatics, 2021. (影響因子：5.610，分區：2區)

15. 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.

16. Haishi Zhao, Lorenzo Bruzzone, Renchu Guan, Fengfeng Zhou, Chen Yang#, “Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification”. Accepted by IEEE Transactions on Geoscience and Remote Sensing, 2021.

17. 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.

18. 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.

19. 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. (影響因子：8.990，分區：2區)

20. 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.

21. 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.

22. 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. (影響因子：5.201，分區：2區)

23. 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. (影響因子：3.644，分區：2區)

24. 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. (影響因子：3.434，分區：3區)

25. 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. (影響因子：3.258，分區：2區)

26. 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. (影響因子：3.644，分區：2區)

27. 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. (影響因子：5.610，分區：1區)

28. 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. (影響因子：4.556，分區：2區)

29. Chenwei Lou, Jian Zhao, Ruoyao Shi, Qian Wang, Wenyang Zhou, Yubo Wang, Guoqing Wang#, Lan Huang, Xin Feng, Fengfeng Zhou#. “sefOri: selecting the best-engineered sequence features to predict DNA replication origins”. Bioinformatics, 36(1): 49-55, 2019. (影響因子：5.610，分區：1區)

1. 2020年：阿裡雲天池大賽“AI開發者創新應用賽”創新獎，“智能問診與輔助推薦系統”，指導老師。

2. 2016年：國際排名第四，“Systems Toxicology Computational Challenge”, sbv IMPROVER competition 2016, HILab代表隊，指導老師。

3. 2015年：“中國好創意”全國青年大數據創新大賽（國家互聯網信息辦公室網絡數據與技術局、中國計算機學會），“基于大數據的未知病原檢測方法構建”賽題，二等獎，HI-15MW代表隊，指導老師。

學術組織成員

1. 委員（2016-現在，首批委員），中國計算機學會生物信息學專業組，2016年-現在。

2. 委員（2016-現在），中國計算機學會計算機應用專業委員會，2016年-現在。

3. 通訊委員（2016-現在），中國計算機學會大數據專業委員會，2016年-現在。

4. 高級會員（2016年-現在），會員（2013-2016），中國計算機學會，2013-現在。

5. 終身會員（2013－現在），中國運籌學會，2013－現在。

6. 高級會員（2013－現在），會員（2012-2013），國際電子電路工程師協會（IEEE），2012－現在。

科研服務

1. 副主編 (2016-現在，SCI索引，影響因子4.589): Computers in Biology and Medicine.

2. 副主編（2012-現在，SCI索引，影響因子2.233)：Interdisciplinary Sciences: Computational Life Sciences.

3. 副主編（2011-現在，SCI索引，影響因子4.599）：Frontiers in Genetics.