赵洪科
信息管理与管理科学系
CV 下载
电子邮箱：hongke@tju.edu.cn
研究方向：数据挖掘，机器学习，人工智能，金融商务大数据，FinTech

个人简介
研究成果
研究项目
学术与社会服务
赵洪科 博士，现为天津大学管理与经济学部讲师、硕士研究生导师，CCF、CAAI会员。2018年毕业于中国科学技术大学，获计算机科学与技术专业博士学位，2013年毕业于华南理工大学，获软件工程专业学士学位。曾分别于2016年8月至2017年1月在美国亚利桑那大学埃勒商学院管理信息系统系，2015年9月至2016年8月在美国北卡罗来纳大学夏洛特分校计算与信息学院等知名高校访问留学。研究方向包括数据挖掘、机器学习，特别是面向金融商务和FinTech等领域的智能算法设计以及大数据驱动的创新创业管理研究。在计算机、信息管理等领域的高水平学术期刊（如TKDE, TIST, TSMC, TBD, IMM, Information Sciences,Scientometrics, 软件学报等）和顶级国际学术会议（如SIGKDD，AAAI，IJCAI，ICDM, ICIS等）上发表论文40余篇，并申请国家发明专利10余项（已公开），资政研究成果被国家育部等中央有关部门上报采用。荣获中国智库索引CTTI年度（2019）优秀成果奖、中国人工智能学会（CAAI）优秀博士学位论文提名奖、中国科学技术大学优秀博士学位论文奖、中国科学院院长奖、中国科学院朱李月华优秀博士生奖、中国机器学习会议（CCML）最佳学生论文奖、KDD-CUP季军等奖项。担任SIGKDD、AAAI、IJCAI、SIAM SDM等多个顶级会议程序委员和系列重要期刊审稿人。目前与国内外多所知名高校和科技企业（例如百度、网易）建立科研合作关系。欢迎对大数据、人工智能技术，金融商务应用等领域感兴趣的同学报考研究生（管理科学与工程学硕、金融专硕），欢迎学界、业界同仁联系，共同开展产学研合作。
【期刊论文】
（1TKDE, 2 TSMC, 1TIST, 2TBD, 1 IMM, 1Scientometrics, 2 Information Sciences, 1ESWA, 1JCST, 5计研发, 1软件学报）
1.Lei Zhang, Xinpeng Wu, Hongke Zhao(赵洪科)*, Fan Cheng, Qi Liu, Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective, In IEEE Transactions on Big Data (IEEE TBD), Accepted.
2.Huan Liu, Lina Yao, Qinghua Zheng, Minnan Luo, Hongke Zhao(赵洪科), Yanzhang Lyu, Dual-Stream Generative Adversarial Networks for Distributionally Robust Zero-Shot Learning, Information Sciences, 519:407-422, 2020. (SCI, IF:4.832, JCR Q1, CCF B类期刊)
3.Xi Zhang, Keran Duan, Hongke Zhao(赵洪科)*, Yuqing Zhao, Xuyan Wang, Patricia Ordó？ez de Pablos, Can Cooperation Drive the Success of Suppliers in B2B Crowdsourcing Innovation Projects? A Large Scale Data Perspective, Industrial Marketing Management (IMM), Accepted. (SSCI, IF:4.779, JCR Q1, ABS 3)
4.Hongke Zhao(赵洪科), Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Xi Zhang, Tong Xu, Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding, In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 32(8): 1652-1665, 2020. (SCI, IF:2.775, JCR Q1,CCF A类期刊)
5.Binbin Jin, Enhong Chen, Hongke Zhao(赵洪科), Zhenya Huang, Qi Liu, Hengshu Zhu, and Shui Yu, Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems, In IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC: Systems), Accepted. (SCI, IF:2.35, JCR Q2,ABS 3)
6.Xi Zhang, Xianhai Wang, Hongke Zhao(赵洪科), Patricia Ordó？ez de Pablos, Yongqiang Sun, Hui Xiong, An effectiveness analysis of altmetrics indices for different levels of artificial intelligencepublications, Scientometrics. 119: 1311-1344, 2019. (SSCIQ1, IF:2.173, ABS 2)
7.Guifeng Wang, Qi Liu, Hongke Zhao(赵洪科), Chuanren Liu, Tong Xu, Enhong Chen, Product Supply Optimization for Crowdfunding Campaigns, In IEEE Transactions on Big Data (IEEE TBD), Accepted.
8.Lisheng Qiao, Hongke Zhao(赵洪科), Xiaohui Huang, Kai Li, Enhong Chen, A Structure-Enriched Neural Network for Network Embedding, Expert Systems with Applications (ESWA),117(3):300-311, 2019.(SCI, IF:3.928, JCR Q1, CCF C类期刊, ABS 3)
9.Hongke Zhao(赵洪科), Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu and Junping Du, A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending, In IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC: Systems), 48(1):21-33, 2018. (SCI, IF:2.35, JCR Q2, ABS 3)
10.Hefu Zhang, Hongke Zhao(赵洪科), Qi Liu, Tong Xu, Enhong Chen and Xunpeng Huang, Finding Potential Lenders in P2P Lending: A Hybrid Random Walk Approach, Information Sciences, 432(2018)376-391. (SCI, IF:4.832, JCR Q1, CCF B类期刊)
11.Qi Liu, Hongke Zhao(赵洪科), Le Wu, Zhi Li, Enhong Chen, Illuminating Recommendation by Understanding the Explicit Item Relations,Journal of Computer Science and Technology (JCST), 33(4):739-755, 2018. (SCI, IF:0.956, JCR Q4, CCF B类期刊)
12.Hongke Zhao(赵洪科), Yong Ge, Qi Liu, Guifeng Wang, Enhong Chen and Hefu Zhang, P2P Lending Survey: Platforms, Recent Advances and Prospects, In ACM Transactions on Intelligent Systems and Technology (ACM TIST), 8(6):1-28, 2017. (SCI, IF:9.1, JCR Q1)
13.陈彦敏，王皓，马建辉，杜东舫，赵洪科. 基于层级注意力机制的互联网用户信用评估框架，计算机研究与发展，2020, 57(8): 1755-1768. （中文核心, CCF A类期刊）
14.刘欢，郑庆华，罗敏楠，赵洪科，肖阳，吕彦章. 基于跨域对抗学习的零样本分类, 计算机研究与发展，2019, 56(12): 2521-2535. （中文核心, CCF A类期刊）
15.赵洪科，吴李康，李徵，张兮，刘淇，陈恩红. 基于深度神经网络结构的互联网金融市场动态预测，计算机研究与发展，2019, 56(8): 1621-1631. （中文核心, CCF A类期刊）
16.张凯，赵洪科，刘淇，潘镇，陈恩红. 基于动静态表征的众筹协同预测方法, 软件学报，2020,31(4):967-980.（获中国机器学习会议（CCML 2019）“最佳学生论文奖”）.（中文核心, CCF A类期刊）
17.于润龙，赵洪科，汪中，叶雨扬，张培宁，刘淇，陈恩红. 实值优化问题的非对称负相关搜索算法，计算机研究与发展，2019, 56(8): 1746-1757. （中文核心, CCF A类期刊）
18.曾宪宇，刘淇，赵洪科，徐童，王怡君，陈恩红. 用户在线购买预测:一种基于用户操作序列和选择模型的方法，计算机研究与发展，53 (8)，1673-1683，2016.（中文核心, CCF A类期刊）
19.张钰，吕冰，陈春燕，赵洪科，刘玉文，网络小额贷款平台产品多维度分析与全局推荐，小型微型计算机系统，37 (2)，308-311，2016. （中文核心, CCF B类期刊）
【会议论文】
（5 KDD, 6 AAAI, 3 IJCAI, 3 ICDM, 1 DASFAA,1 ICIS, 1 CEC, 1 WI）
1.Xin Wei, Wei He, Chuang Zhao, Hongke Zhao(赵洪科),Xi Zhang, A Machine Learning Method for Measuring Information Disclosure in Sharing Economy Platforms, In the Forty-First International Conference on Information Systems (ICIS’20), India 2020, Accepted. (接收率：28%)
2.Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao(赵洪科), Tao Mei, Learning the Compositional Visual Coherence for Complementary Recommendations, In Proceedings ofthe 29th International Joint Conference on Artificial Intelligence (IJCAI'20),Yokohama, Japan, 2020, Accepted. (CCF A类会议，接收率：592/4717=12.6%)
3.Yang Liu, Qi Liu, Hongke Zhao(赵洪科), Zhen Pan, Chuanren Liu, Adaptive Quantitative Trading: an Imitative Deep Reinforcement Learning Approach, In Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI'20), New York, USA, 2020, 2128-2135. (CCF A类会议，接收率：1591/7737=20.6%)
4.Likang Wu, Zhi Li, Hongke Zhao(赵洪科), Qi Liu, Enhong Chen, Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model, In Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI'20), New York, USA, 2020, 6396-6403. (CCF A类会议，接收率：1591/7737=20.6%)
5.Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W Zheng, Hongke Zhao(赵洪科), Hefu Zhang, and Enhong Chen, Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering, In Proceedings of the 19th International Conference on Data Mining (ICDM’19), Beijing, China, 2019, 1000-1005. (CCF B类会议，接收率：194/1046 = 18.5%)
6.Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao(赵洪科), Enhong Chen, Haiping Ma and Shijin Wang, Exploiting Cognitive Structure for Adaptive Learning, In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), Anchorage, AK, USA, 2019, 627-635. (CCF A类会议，接收率：170/1200 = 14%)
7.Lei Zhang, Xin Zhang, Fan Cheng, Xiaoyan Sun and Hongke Zhao(赵洪科)*, Personalized Recommendation for Crowdfunding Platform: A Multi-objective Approach, IEEE Congress on Evolutionary Computation (CEC’19), Wellington, New Zealand, 2019, 3316-3324.
8.Binbin Jin, Hongke Zhao(赵洪科), Enhong Chen, Qi Liu, Yong Ge, Estimating the Rest of Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective, In Proceedings of 33th AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, USA, 2019, 4023-4030. (CCF A类会议，接收率：1150/7095=16%)
9.Hanqing Tao, Shiwei Tong, Hongke Zhao(赵洪科), Tong Xu, Binbin Jin, Qi Liu, Chinese Text Classification Through Radical Learning, In Proceedings of 33th AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, USA, 2019, 5125-5132. (CCF A类会议，接收率：1150/7095=16%)
10.Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao(赵洪科), Hengshu Zhu, Enhong Chen, Interactive Attention Transfer Network for Cross-domain Sentiment Classification, In Proceedings of 33th AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, USA, 2019, 5773-5780. (CCF A类会议，接收率：1150/7095=16%)
11.Zhi Li, Hongke Zhao(赵洪科), Zhenya Huang, Qi Liu, Tao Mei, Enhong Chen, Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors, In Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’18), London, United Kingdom, 2018, 1734-1743. (CCF A类会议，接收率：181/983 = 18.4%)
12.Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao(赵洪科)*, Chuanren Liu, Dongfang Du, Patent Litigation Prediction: A Convolutional Tensor Factorization Approach, In Proceedings ofthe 27th International Joint Conference on Artificial Intelligence (IJCAI'18),Stockholm, Sweden, 2018, 5052-5059. (CCF A类会议，接收率：710/3470=20%)
13.Hongke Zhao(赵洪科), Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li and Le Wu, Tracking the Dynamics in Crowdfunding, In Proceedings of the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’17), Halifax, Nova Scotia, Canada, 2017, 625-634. (CCF A类会议, 接收率：132/748 = 17.6%)
14.Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong and Hongke Zhao(赵洪科), Prospecting the Career Development of Talents: A Survival Analysis Perspective, In Proceedings of the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’17), Halifax, Nova Scotia, Canada, 2017, 917-925. (CCF A类会议，接收率：132/748 = 17.6%)
15.Qi Liu, Guifeng Wang, Hongke Zhao(赵洪科), Chuanren Liu, Tong Xu and Enhong Chen, Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective, In Proceedings of 26th International Joint Conference on Artificial Intelligence (IJCAI’17), Melbourne, Australia, 2017, 695-702. (CCF A类会议，接收率：660/2540=26%)
16.Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao(赵洪科), Mingyong Gao, Si Wei, Yu Su, Guoping Hu, Question Difficulty Prediction for READING Problems in Standard Tests, In Proceedings of 31th AAAI Conference on Artificial Intelligence (AAAI’17),San Francisco, CA, USA, 2017, 1352-1359. (CCF A类会议，接收率：638/2590=25%)
17.Hongke Zhao(赵洪科), Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen, Portfolio Selections in P2P Lending: A Multi-objective Perspective, In Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’16), San Francisco, CA, USA, 2016, 2075-2084. (CCF A类会议, 接收率：142/784 = 18%)
18.Hongke Zhao(赵洪科), Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen, Group Preference Aggregation: A Nash Equilibrium Approach, In Proceedings of the 16th IEEE International Conference on Data Mining (ICDM’16), Barcelona, Spain, 2016, 679-688. (CCF B类会议，接收率：8.5%)
19.Yan Zhu, Hengshu Zhu, Qi Liu, Enhong Chen, Hong Li, Hongke Zhao(赵洪科), Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective, In Proceedings of the 21st International Conference on Database Systems for Advanced Applications (DASFAA’16), Dallas, TX, USA, 2016, 258-273. (CCF B类会议)
20.Hongke Zhao(赵洪科), Le Wu, Qi Liu, Yong Ge,Enhong Chen.Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management.In Proceedings of the 14th International Conference on Data Mining (ICDM’14), Shenzhen, China, 2014, 1109-1114. (CCF B类会议，接收率：142/727 = 19.5%)
21. Yi Cai, Hongke Zhao(赵洪科), Hao Han, Raymond YK Lau, Ho-Fung Leung, Huaqing Min. Answering typicality query based on automatically prototype construction, In Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI’12), Macau, China, 2012, 362-366.
【发明专利】
1.赵洪科，张兮，王涛，成一航，一种问答匹配注意力处理方法、计算机设备及存储介质，受理中.
2.刘淇，陈恩红，武晗，叶雨扬，杜东舫，赵洪科，一种专利诉讼风险预测方法，已公开（申请号：CN3.3，公开号：CNA）.
3.陈恩红，刘淇，张凯，赵洪科，李徵，基于动静态深度表征的协同预测方法，已公开（申请号：CN1.4，公开号：CNA）.
4.刘淇，陈恩红，王桂凤，赵洪科，徐童，基于众筹平台的多产品供应数量优化方法，已公开（申请号：CN2.2，公开号：CNA）.
5.陈恩红，刘淇，赵洪科，章和夫, 网络小额贷款中借款项目与出借人的双向匹配推荐方法，已公开（申请号：CN2.7，公开号：CNA）.
6.陈恩红，刘淇，金斌斌，赵洪科，童世炜，一种社区问答平台回答排序方法，已公开（申请号：CN2.2，公开号：CNA）.
7.陈恩红，刘淇，李徵，赵洪科，张凯，一种基于用户行为区别建模的序列推荐方法，已公开（申请号：CN0.3，公开号：CNA）.
8.陈恩红, 刘淇, 赵洪科, 金斌斌, 陶汉卿, 面向众筹平台的捐赠行为与捐赠者保持预测方法, 已公开（申请号：CN8.3，公开号：CNA）.
9.陈恩红，乔立升，刘淇，赵洪科，丰富结构信息的深度网络表征方法，已公开（申请号：CN0.8，公开号：CNA）.
10.陈恩红，刘淇，张凯，赵洪科，章和夫，一种跨领域情感分类方法和相关装置，已公开（申请号：CN7.9，公开号：CNA）.
11.陈恩红，刘淇，徐童，陶汉卿，童世炜，赵洪科，金斌斌，一种中文文本的分类方法及系统，已公开（申请号：CN7.5，公开号：CNA）.
【咨询研究】
张兮，赵洪科，颜嘉麒，《区块链技术发展应用最新态势、可能风险及对策建议》，国家教育部采用并上报.
1.《基于知识图谱的人才长生命周期终身学习算法研究》，百度松果研究计划，2020年－2021年，主持
2.《互联网金融用户市场行为分析：基于大数据驱动的微观视角》，天津大学自主创新基金，2020年-2021年，主持
3.《多业态场景中用户细分和生命周期管理》，大数据分析与应用安徽省重点实验室开放课题，2020年－2021年，主持
lProgram Committees（会议程序委员）
1.ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD-19, SIGKDD-20)
2.The AAAIConference on Artificial Intelligence (AAAI-19, AAAI-20, AAAI-21)
3.International Joint Conference on Artificial Intelligence (IJCAI-21)
4.SIAM International Conference on Data Mining (SDM-21)
5.International Conference on Knowledge Science, Engineering and Management (KSEM-17, KSEM-18, KSEM-19)
lJournal Reviewers（期刊审稿人）
1.IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
2.IEEE Transactions on Systems, Man and Cybernetics: Systems (IEEE TSMC: Systems)
3.IEEE Transactions on Big Data (IEEE TBD)
4.ACM Transactions on Data Science (ACM TDS)
5.IEEE Transactions on Emerging Topics in Computational Intelligence
6.Applied Economics Letters
7.Springer World Wide Web (WWWJ)
8.Knowledge and Information Systems (KAIS)
9.Quantitative Finance
10.SCIENCE CHINA Information Sciences (中国科学：信息科学)
11.Journal of Management Science and Engineering (JMSE, 管理科学学报英文版)
12. 管理科学学报