金博简历

金博，大连理工大学教授、博士生导师，辽宁省高等学校创新人才人选，百度研究院特约顾问，中科院自动化研究所项目顾问，大连市大数据产业发展研究院副院长，中国计算机学会杰出会员，美国IEEE、ACM高级会员。担任中国医院协会健康医疗大数据应用管理专业委员会委员，中华医学会信息学分会医学大数据与人工智能学组委员，中国老年医学学会智慧医疗技术与管理分会委员。主要研究领域涵盖医学人工智能、教育人工智能、数据挖掘、大数据分析等。主持和参与了科技部国家重点研发计划项目、国家自然科学基金重大/重点/面上项目，教育部—中国移动科研项目，国家重点实验室开放课题等项目20余项。在SCI期刊和国际重要学术会议发表论文100余篇。

主要经历

2001–2009　硕博，大连理工大学，计算机科学与技术专业。

2009–至今  教授， 大连理工大学，创新实验学院。

2014–2015 访问教授，美国罗格斯新泽西州立大学。

2022–至今　特聘教授，广东医科大学，生物医学工程学院。

代表性论文

[1] Bo, Jin, Yong Ge, Hengshu Zhu, Li Guo, Hui Xiong, and Chao Zhang. "Technology Prospecting for High Tech Companies through Patent Mining." In Data Mining (ICDM), 2014 IEEE International Conference on, pp. 220-229. IEEE, 2014. doi: 10.1109/ICDM.2014.44 CCF B

[2] L. Guo, B. Jin*, R. Yu, C. Yao, C. Sun and D. Huang, "Multi-Label Classification Methods for Green Computing and Application for Mobile Medical Recommendations," in IEEE Access, vol. 4, no. , pp. 3201-3209, 2016. doi: 10.1109/ACCESS.2016.2578638

[3] Guo L, Jin B*, Yao C, Yang H, Huang D, Wang F. Which Doctor to Trust: A Recommender System for Identifying the Right Doctors. J Med Internet Res 2016;18(7):e186 doi:  10.2196/jmir.6015 中科院Top

[4] Yao C, Qu Y, Jin B*, Guo L, Li C, Cui W, Feng L. A Convolutional Neural Network Model for Online Medical Guidance. in IEEE Access, vol. 4, no. , pp. 4094-4103, 2016. doi: 10.1109/ACCESS.2016.2594839

[5] Bo Jin*, Chao Che*, Kuifei Yu, Yue Qu, Li Guo, Cuili Yao, Ruiyun Yu, and Qiang Zhang. 2016. Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '16). ACM, New York, NY, USA, 127-136. DOI: http://dx.doi.org/10.1145/2939672.2939708 CCF A

[6] Huang D, Guo L, Yang H, Wei X, Jin B*. Chemical Medicine Classification through Chemical Properties Analysis. IEEE Access. 2017 Jan 16. DOI: 10.1109/ACCESS.2017.2654062

[7] Jin B, Yang H, Xiao C, Zhang P, Wei X, Wang F. Multitask dyadic prediction and its application in prediction of adverse drug-drug interaction. InProceedings of the Thirty-First AAAI Conference on Artificial Intelligence 2017 Feb. CCF A

[8] Jin, B., Che, C*., Liu, Z., Zhang, S., Yin, X. and Wei, X., 2018. Predicting the risk of heart failure with EHR sequential data modeling. Ieee Access, 6, pp.9256-9261.

[9] Feng L, Wang H, Jin B*, Li H, Xue M, Wang L. Learning a distance metric by balancing kl-divergence for imbalanced datasets. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2018 Jan 26;49(12):2384-95. 中科院Top

[10] Jin B, Yang H, Sun L, Liu C, Qu Y, Tong J. A treatment engine by predicting next-period prescriptions. InProceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2018 Jul 19 (pp. 1608-1616). CCF A

[11] Sun, Leilei, Bo Jin*, Haoyu Yang, Jianing Tong, Chuanren Liu, and Hui Xiong. "Unsupervised EEG feature extraction based on echo state network." Information Sciences 475 (2019): 1-17.

https://doi.org/10.1016/j.ins.2018.09.057 中科院Top

[12] Jin B, Qu Y, Zhang L*, Gao Z. Diagnosing Parkinson Disease Through Facial Expression Recognition: Video Analysis. J Med Internet Res 2020;22(7):e18697. doi: 10.2196/18697中科院Top

[13] Bo Jin, Ke Cheng, Yue Qu, Liang Zhang, Keli Xiao, Xinjiang Lu, and Xiaopeng Wei. Fast Sparse Connectivity Network Adaption via Meta-Learning. ICDM2020 CCF B

[14] An,  Y.,  Mao,  Y.,  Zhang,  L*.,  Jin,  B*.,  Xiao,  K.,  Wei,  X.,  Yan,  J.,  RAHM:  Relationaugmented hierarchical multi-task learning framework for reasonable medication stocking, Journal of Biomedical Informatics (2020), doi: https://doi.org/10.1016/j.jbi.2020.103502

[15] Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin and Lu Jiang. Partial Relationship Aware Influence Diffusion via Multi-channel Encoding Scheme for Social Recommendation. CIKM 2020 CCF B

[16] Liu, Y.; Feng, L.;Wang, L.; Jin, B*. Mining High Utility Itemsets Based on Pattern Growth without Candidate Generation. Mathematics 2021, 18, 1. https://dx.doi.org/10.3390/math18010001

[17] Ruiyun Yu*, Dezhi Ye, Bo Jin*, Minjun Seo, and Fadi Kurdahi. "CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering," in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2020.3048788. CCF A

[18] An Yang, Zhang Liang, Yang Haoyu, Sun Leilei, Jin Bo*, Liu Chuanren, Yu Ruiyun, Wei Xiaopeng*. Prediction of Treatment Medicines with Dual Adaptive Sequential Networks. in IEEE Transactions on Knowledge and Data Engineering, 2021. DOI:10.1109/TKDE.2021.3052992 CCF A

[19] Yang An , Liang Zhang, MaoYou, Xueqing Tian, BoJin*, XiaopengWei*. MeSIN: Multilevel selective and interactive network for medication recommendation. Knowledge-Based Systems Available online 25 September 2021中科院1区

[20] Xu Zhang, Liang Zhang, Bo Jin∗, Xinjiang Lu, A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning. ICDM2021 CCF B

[21] Xu Zhang, Yaming Wang, Liang Zhang*, Bo Jin*, Hongzhe Zhang, Yiwei Liu, Multistage Combination Classifier Augmented Model for Protein Secondary Structure Prediction, Frontiers in Genetics中科院3区

代表性研究成果

专利

金博，候亚庆，程世成，张强.一种基于异质图的药物-蛋白质靶向作用预测方法.2020.11.13，中国，ZL202011275141.6

学术奖励

1. 金博、葛永、祝恒书、郭立，Technology Prospecting for High Tech Companies through Patent Mining，辽宁省自然科学学术成果奖，三等奖，2015-07-20

2. 金博,车超,于魁飞,曲岳,郭立,姚翠莉,于瑞云,张强，Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods，大连市自然科学优秀科技成果奖，二等奖，2017-11-27

3. 金博、郭立、于瑞云，计算几何及应用，大连市科学著作奖，三等奖，2014-05-01

4. 郭立，金博，姚翠莉，杨浩宇，黄德根，王飞，Which Doctor to Trust: A Recommender System for Identifying the Right Doctors，大连市自然科学优秀科技成果奖，三等奖，2017-11-27

5. 冯林、金博，图论及其应用，大连市科学著作奖，三等奖，2014-09-01