信息管理与管理科学系

【个人简介】

赵洪科 博士，现为华球城在线注册副教授、硕士研究生导师。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留学。

研究方向为数据挖掘与机器学习、算法分析与管理、商务智能与金融科技。在计算机、信息管理等领域的高水平学术期刊(如JOC, TKDE, TEVC, TOIS, TWEB, TIST, TSMC, TETCI, TBD, Omega,IMM, IPM, PR, JMSE, Information Sciences, Internet Research, CHB, Scientometrics, 软件学报, 管理科学学报, 管理工程学报等）和顶级国际学术会议（如SIGKDD, AAAI, IJCAI, WWW, SIGIR, ACL, WSDM, CIKM, ICDM, ICIS等)上发表论文100余篇，并申请国家发明专利10余项;资政研究成果被国家教育部等中央有关部门上报采用。入选2022年百度学术全球AI华人青年学者榜单(AI+X智能管理)，2022年度社会计算青年学者新星。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 2019)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 2019)最佳学生论文奖、WSDM2022 the Best-ranked Papers, ICML 2024 Challenges on Automated Math Reasoning亚军，KDD-CUP 2019季军等奖项。主持国家自然科学基金面上项目、青年项目以及联想、百度、网易等合作研究课题，参与国家自然科学基金重大项目、科技部重点研发项目等。担任SIGKDD、WWW、AAAI、IJCAI、WSDM等多个顶级会议(高级)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、网易等、联想等)建立科研合作关系。欢迎对大数据、人工智能算法，金融商务应用等领域感兴趣并对编程有学习意愿的同学报考研究生(管理科学与工程、新媒体、金融)，欢迎学界、业界同仁共同开展产学研合作。详情请关注A&DM-Cube https://www.adm-cube.online/

【教育与工作经历】

【期刊论文】

(* 通讯作者，1JOC, 4 TKDE, 1 TEVC, 2 TOIS, 3 TSMC, 1 TNNLS, 1TWEB, 2 JMSE, 1 TIST, 2TETCI, 1TITS, 3TBD, 1 Omega, 1 IMM, 3 IPM, 1 Internet Research, 1 CHB, 1 Scientometrics, 1 PR, 3 Information Sciences, 1FCS, 1 ESWA, 1 IJSWIS, 2 JCST, 5计研发, 1软件学报，1管理科学学报，1管理工程学报)

1. Chuang Zhao, Hongke Zhao(赵洪科)*, Hengshu Zhu, Zhenya Huang, Nan Feng*, Enhong Chen, Hui Xiong, Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient Alignment, IEEE Transactions on Systems Man Cybernetics: Systems (IEEE TSMC), Accepted. (IF:13.451, ABS 3, CCF B类期刊)

2. Lei Zhang, Sibo Liu, Haipeng Yang, Zihao Chen, Hongke Zhao(赵洪科)*, Multi-Objective Recommendations via Evolutionary Multitasking Optimization, Information Sciences, Accepted. (IF:8.1, JCR Q1, CCF B类期刊)

3. Chuang Zhao, Hongke Zhao(赵洪科)*, Xiaomeng Li, Ming He, Jiahui Wang, Jianping Fan, Cross-Domain Recommendation via Progressive Structural Alignment, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Accepted. (IF:6.97, JCR Q1, CCF A类期刊)

4. Likang Wu, Zhi Li, Hongke Zhao(赵洪科), Zhenya Huang, Yongqiang Han, Junji Jiang, Enhong Chen, Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Accepted. (IF:6.97, JCR Q1, CCF A类期刊)

5. 王亚仙，赵洪科*，霍宝锋，刘春丽，亲社会众筹平台上第三方认证对支持者的财务动机和利他动机的影响, 管理科学学报，录用待发表. (中文核心, FMS T1类期刊)

6. Lei Zhang, Huabin Zhang, Zihao Chen, Sibo Liu, Haipeng Yang, Hongke Zhao(赵洪科)*, A Multi-Population Based Evolutionary Algorithm for Many-Objective Recommendations, IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 8(2): 1969-1982, 2024.

7. Xi Zhang, Dehu Yin, Li Tang, Hongke Zhao(赵洪科), Does academic engagement with industry come at a cost for early career scientists? Evidence from high-tech enterprises’ Ph.D. funding programs, Information Processing and Management (IPM), 61(3): 103669, 2024. (IF:7.46, JCR Q1, CCF/FMS B类期刊)

8. Zhiyong Zhang, Hongke Zhao(赵洪科), Baofeng Huo, Ming He, Free trial or no free trial: optimal operation of electronic physical product with positive and negative network effects, Omega: The International Journal of Management Science (Omega). 103022, 2023. (ABS 3)

9. Hongke Zhao(赵洪科), Chuang Zhao, Xi Zhang, Nanlin Liu, Hengshu Zhu, Qi Liu, Hui Xiong, An Ensemble Learning Approach with Gradient Resampling for Class-imbalance Problems, INFORMS Journal on Computing (JOC), https://github.com/INFORMSJoC/2021.0104, 35(4):747-763, 2023. (UTD24)

10. Jiahui Wang, Likang Wu, Hongke Zhao(赵洪科)*, Ning Jia, Multi-View Enhanced Zero-Shot Node Classification, Information Processing and Management (IPM), 60(6), 103479, 2023. (IF:7.46, JCR Q1, CCF/FMS B类期刊)

11. Lei Zhang, Wuji Zhang, Likang Wu, Ming He, Hongke Zhao(赵洪科)*, SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-Behavior Prediction, ACM Transactions on the Web (ACM TWEB), 18(1): 4:1-4:27, 2023. (CCF B类期刊)

12. Mingyue Cheng, Qi Liu, Wenyu Zhang, Zhiding Liu, Hongke Zhao(赵洪科), Enhong Chen, A General Tail Item Representation Enhancement Framework for Sequential Recommendation, Frontiers of Computer Science (FCS), 18(6): 186333, 2024. (CCF B类期刊)

13. Han Wu, Guanqi Zhu, Qi Liu, Hao Liu, Hengshu Zhu, Hao Wang, Hongke Zhao(赵洪科), Chuanren Liu, Hui Xiong, Enhong Chen, A Multi-aspect Neural Tensor Factorization Framework for Patent Litigation Prediction, IEEE Transactions on Big Data (IEEE TBD),10(1): 35-54, 2024. (CCF C类期刊)

14. Hongke Zhao(赵洪科), Yihang Cheng, Xi Zhang, Hengshu Zhu, Qi Liu, Hui Xiong, Wei Zhang, What is Market Talking about? Market-oriented Prospect Analysis for Entrepreneur Fundraising, IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), 5(6): 6489-6503, 2023.. (IF:6.97, JCR Q1, CCF A、FMS B类期刊)

15. Likang Wu, Hongke Zhao(赵洪科), Zhi Li, Zhenya Huang, Qi Liu, Enhong Chen, Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks, ACM Transactions on Knowledge Discovery from Data (TKDD), 17(8):1-23, 2023. (IF4.16, JCR Q1, CCF/FMS B类期刊)

16. Xin Lin, Zhenya Huang, Hongke Zhao(赵洪科), Enhong Chen, Qi Liu, Defu Lian, Xin Li, Hao Wang, Learning Relation-Enhanced Hierarchical Solver for Math Word Problems, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Accepted. (IF 14.25, CCF B类期刊)

17. Junji Jiang, Likang Wu, Hongke Zhao(赵洪科)*, Hengshu Zhu, Wei Zhang, Forecasting movements of stock time series based on hidden state guided deep learning approach, Information Processing and Management (IPM), 60(3), 103328, 2023. (IF:7.46, JCR Q1, CCF/FMS B类期刊)

18. Lei Zhang, Huabin Zhang, Sibo Liu, Chao Wang, Hongke Zhao(赵洪科)*, A Community Division-Based Evolutionary Algorithm for Large-Scale Multi-Objective Recommendations, IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 7(5):1470-1483, 2023.

19. 赵洪科，周启璇，尹德虎，张兮，任丽雪，刘春丽，众筹项目筹资绩效的信息影响机制研究：基于Indiegogo平台证据，管理工程学报, 37(06), 145-156, 2023(FMS T1类期刊)

20. Xi Zhang, Yihang Cheng, Juan Liu, Hongke Zhao(赵洪科)*, Dongming Xu, Yulong Li, Lender Retention of Online Prosocial Lending: A Self-Determination Perspective, Internet Research, 1079-1113, 2023. (ABS 3)

21. Zhenya Huang, Binbin Jin, Hongke Zhao(赵洪科), Qi Liu, Defu Lian, Tengfei Bao, Enhong Chen, Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation, ACM Transactions on Information Systems (ACM TOIS), 41(2): 1-29, 2023. (CCF A类、FMS B类期刊)

22. Liao Chen, Ning Jia, Hongke Zhao(赵洪科)*, Yanzhe Kang, Jiang Deng, Shoufeng Ma, Refined Analysis and a Hierarchical Multi-task Learning Approach for Loan Fraud Detection, Journal of Management Science and Engineering (JMSE),  7(4), 589-607, 2022. (FMS B类期刊)

23. Changlin Li, Shuai Ling, Honglei Zhang, Hongke Zhao(赵洪科), Lishan Liu, Ning Jia, A Sequence and Network Embedding Method for Bus Arrival Time Prediction using GPS Trajectory Data Only, IEEE Transactions on Intelligent Transportation Systems (IEEE TITS),24(5), 5024-5038, 2023. (CCF B类期刊).

24. Ming He, Yan Chen, Hongke Zhao(赵洪科), Yu Cui, Le Wu, Qi Liu, Guihua Zeng, Guiquan Liu, Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry, Journal of Computer Science and Technology (JCST),38(6): 1272-1287, 2023. (CCF B类期刊).

25. Hongke Zhao(赵洪科), Xinpeng Wu, Chuang Zhao, Lei Zhang, Haiping Ma, Fan Cheng, CoEA: A Cooperative-Competitive Evolutionary Algorithm for Bidirectional Recommendations, In IEEE Transactions on Evolutionary Computation (IEEE TEVC),26(1), 28-42, 2022. (IF:11.169, ABS 4, CCF B类期刊)

26. Shiwei Zhao, Runze Wu, Jianrong Tao, Manhu Qu, Minghao Zhao, Changjie Fan, and Hongke Zhao(赵洪科), Personalized Customer Lifetime Value Prediction in Online Games, ACM Transactions on Information Systems (ACM TOIS),41(1), 1-29, 2023.(CCF A类、FMS B类期刊).

27. Hongke Zhao(赵洪科), Xiaopei Liu, Xi Zhang, Yinyue Wei, Chunli Liu, The Effects of Person-Organization Fit on Lending Behaviors: Empirical Evidence from Kiva.org, Journal of Management Science and Engineering  (JMSE),  7(1), 133-145, 2022. (FMS B类期刊)

28. Xi Zhang, Xiaopei Liu, Xianhai Wang, Hongke Zhao(赵洪科)*，Wei Zhang, Exploring the Effects of Social Capital on Crowdfunding Performance: A Holistic Analysis from the Empirical and Predictive Views, Computers in Human Behavior (CHB), 126, 2022. (SSCI, JCR Q1, ABS 3, FMS B类期刊)

29. Likang Wu, Zhi Li, Hongke Zhao(赵洪科), Qi Liu, Enhong Chen, Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective, Pattern Recognition, 121, 2022. (CCF B类期刊)

30. 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), 51(5), 3068-3079, 2021. (IF:13.451, JCR Q2, ABS 3)

31. Qixiang Shao, Runlong Yu, Hongke Zhao(赵洪科), Chunli Liu, Mengyi Zhang, Hongmei Song, Qi Liu, Toward Intelligent Financial Advisors for Identifying Potential Clients: A Multitask Perspective, Big Data Mining and Analytics, 5 (1), 64-78, 2021.

32. Yihang Cheng, Xi Zhang, Xiaojiong Wang, Hongke Zhao(赵洪科), Yao Yu, Xianhai Wang, Rethinking the Development of Technology Enhanced Learning and the Role of Cognitive Computing, International Journal on Semantic Web and Information Systems (IJSWIS), 17(1): 67-96, 2021. (CCF C类期刊)

33. 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.

34. 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. (IF:4.832, JCR Q1, CCF B类期刊)

35. Xi Zhang, Keran Duan, Hongke Zhao(赵洪科)*, Yuqing Zhao, Xuyan Wang, Patricia Ordóñez de Pablos, Can Cooperation Drive the Success of Suppliers in B2B Crowdsourcing Innovation Projects? A Large Scale Data Perspective, Industrial Marketing Management (IMM), 90: 570-580, 2020. (SSCI, IF:4.779, JCR Q1, ABS 3)

36. 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. (IF:6.97, JCR Q1, CCF A类期刊)

37. 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)

38. 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)

39. Xi Zhang, Xianhai Wang, Hongke Zhao(赵洪科), Patricia Ordóñez de Pablos, Yongqiang Sun, Hui Xiong, An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications, Scientometrics. 119: 1311-1344, 2019. (SSCI Q1, IF:2.173, ABS 2)

40. 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),6(4):741-756, 2020. (“Spotlight on Transactions”)

41. 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. (CCF C类期刊, ABS 3)

42. 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)

43. 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)(入选计算机研究与发展2019年发表论文“高被引TOP10”)

44. 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)

45. 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. (IF:13.451,JCR Q2, ABS 3)

46. 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. (IF:4.832, JCR Q1, CCF B类期刊)

47. 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. (CCF B类期刊)

48. 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. (IF:9.1, JCR Q1)

49. 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)

50. 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】

(8 KDD, 10 AAAI, 5 IJCAI, 2 WWW, 1 ACL, 1SIGIR, 2CIKM, 1 WSDM, 3 ICDM, 2 DASFAA, 1 CEC, 1 WI, 1 ICIS, 1 PACIS)

1. Zhichen Xiang, Hongke Zhao(赵洪科)*, Chuang Zhao, Ming He*, Jianping Fan, Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems, In Proceedings of the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'24), Barcelona, Spain, Accepted. (CCF A类会议)

2. Junji Jiang, Hongke Zhao(赵洪科)*, Ming He, Likang Wu, Kai Zhang, Jianping Fan, Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation, In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM’23), UK, 965–975. (CCF B类会议)

3. Chuang Zhao, Xinyu Li, Ming He*, Hongke Zhao(赵洪科)*, Jianping Fan, Sequential recommendation via an adaptive cross-domain knowledge decomposition, In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM’23), UK, 3453–3463. (CCF B类会议)

4. Likang Wu, Zhi Li, Hongke Zhao(赵洪科), Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen, Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation, In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23), Long Beach, 2618-2628. (CCF A类会议)

5. Likang Wu, Junji Jiang, Hongke Zhao(赵洪科), Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen, KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification, In Proceedings of the 32th International Joint Conference on Artificial Intelligence (IJCAI'23), Macao, China, 2361-2369. (CCF A类会议).

6. Chuang Zhao, Hongke Zhao(赵洪科)*, Ming He, Jian Zhang, Jianping Fan, Cross-domain recommendation via user interest alignment, ACM Web Conference 2023 (WWW’23), Austin, Texas, USA,2023, 887-896. (CCF A类会议).

7. Dehu Yin, Xi Zhang, Hongke Zhao(赵洪科), Understanding and predicting innovative potential of scholars based on deep learning method, The annual Pacific Asia Conference on Information Systems (PACIS’22), Virtual, 2022, 2022: 219.

8. Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao(赵洪科), Jianhui Ma, Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction, The 45th international ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’22), 2022, 2704-2708. (CCF A类会议，接收率：165/667= 24.7%)

9. Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao(赵洪科), Qi Liu, Wei Wu, Enhong Chen, Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis, Findings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL’22), 2022, 3599-3610. (CCF A类会议)

10. Chuang Zhao, Hongke Zhao(赵洪科)*, Yong Ge, Runze Wu*, Xudong Shen, Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games, ACM Web Conference 2022 (WWW’22), 2022, 2387-3395. (CCF A类会议)

11. Chuang Zhao, Hongke Zhao(赵洪科)*, Runze Wu*, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan, Multi Dimensional Prediction of Guild Health in Online Games:A Stability-Aware Multi-task Learning Approach, 36th AAAI Conference on Artificial Intelligence (AAAI'22), 2022,4371-4378. (CCF A类会议，接收率：1349/9251=14.6%)

12. Lei Zhang, Xiang Wang, Chuang Zhao, Hongke Zhao(赵洪科)*，Rui Li, Runze Wu, Co-Promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach, 36th AAAI Conference on Artificial Intelligence (AAAI'22), 2022, 9040-9047. (CCF A类会议，接收率：1349/9251=14.6%)

13. Jinquan Hang, Zheng Dong, Hongke Zhao(赵洪科)*, Xin Song, Peng Wang, Hengshu Zhu*, Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction, In Proceedings of the 15th International Conference on Web Search and Data Mining (WSDM’22),Virtual Event, AZ, USA, 2022, 353–362. (CCF B类会议，接收率：159/786 = 20.2%,入选WSDM2022 the Best-ranked Papers)

14. Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao(赵洪科), Senchao Yuan, Enhong Chen, LawyerPAN: A Proficiency Assessment Network for Trial Lawyers, In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD'21),  Virtual Event, Singapore, 2021, 5-13. (CCF A类会议，接收率：238/1541 = 15.4%)

15. Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao(赵洪科), Defu Lian, Qi Liu, Enhong Chen, Preference-Adaptive Meta-Learning for Cold-Start Recommendation, In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21),2021, 1607-1614. (CCF A类会议，接收率：587/4204=13.9%)

16. Guifeng Wang, Longbing Cao, Hongke Zhao(赵洪科), Qi Liu, Enhong Chen, Coupling Macro-Sector-Micro Factors on Learning Stock Representation with Less Uncertainty, 35th AAAI Conference on Artificial Intelligence (AAAI'21), 2021, 4418-4426. (CCF A类会议，接收率：18.7%)

17. Xin Lin, Zhenya Huang, Hongke Zhao(赵洪科), Hao Wang, Enhong Chen, HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem, 35th AAAI Conference on Artificial Intelligence (AAAI'21), 2021, 4232-4240. (CCF A类会议，接收率：18.7%)

18. Likang Wu, Zhi Li, Hongke Zhao(赵洪科), Jun Wang, Qi Liu , Enhong Chen, Learning the Implicit Semantic Representation on Graph-Structured Data, 26th International Conference on Database Systems for Advanced Applications (DASFAA’21), (1)2021:3-19. (CCF B类会议)

19. Xin Wei, Wei He, Chuang Zhao, Xi Zhang, Hongke Zhao(赵洪科), 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%)

20. 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 of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), Yokohama, Japan, 2020, 3536-3543. (CCF A类会议，接收率：592/4717=12.6%)

21. 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%)

22. Likang Wu, Zhi Li, Hongke Zhao(赵洪科), Zhen Pan, 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%)

23. 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%)

24. 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 International 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%)

25. 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.

26. Binbin Jin, Hongke Zhao(赵洪科), Enhong Chen, Qi Liu, Yong Ge, Estimating the 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%)

27. Hanqing Tao, Shiwei Tong, Hongke Zhao(赵洪科), Tong Xu, Binbin Jin, Qi Liu, A Radical-aware Attention-based Model for Chinese Text Classification, 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%)

28. 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%)

29. Zhi Li, Hongke Zhao(赵洪科), Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen, Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors, In Proceedings of the 24th ACM SIGKDD International 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%)

30. 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 of the 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%)

31. 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 International 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%)

32. 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 International 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%)

33. 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%)

34. 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%)

35. 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 International 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%)

36. 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%)

37. 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)

38. 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%)

39. 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. 吕冰，赵洪科，冯楠，基于图学习和不确定行为建模的胜率预测系统及方法，已公开(申请号：CN202310867347.5，公开号：CN116861954A)

2. 冯楠，刘欣，赵洪科，跨域对抗神经网络模型及其训练方法、设备及存储介质，已公开(申请号：CN202310867346.0，公开号：CN116882448A)

3. 苏昱涵，秦川，申大忠，赵洪科，宋欣，祝恒书，用于处理技能信息的方法、模型训练方法及装置，已公开(申请号：CN202111644033.6，公开号：CN114330333A)

4. 赵洪科，梁若彤，李美莲，苏昱涵，一种基于区块链技术的农业众筹平台，已公开(申请号：CN202111407798.8，公开号：CN114255133A)

5. 赵洪科，尹喆灏，李婉欣，成一航，太拜苏姆·阿不都热西提，一种基于农村强社交关系的智能社交平台及社交方法，已公开（申请号：CN202210048451.7，公开号：CN114511414A）

6.成一航，赵洪科，祝恒书，董政，张兮，训练预测模型的方法、预测方法、装置、电子设备和介质，已公开（申请号：CN202110525521.9，公开号：CN113240177A）

7. 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，已授权(申请号：CN202010107570.6，公开号：CN111488438A).

8. 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，已授权(申请号：CN201810482063.3，公开号：CN108665182A).

9. 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：CN201910369541.4，公开号：CN110097225A).

10. 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，已授权(申请号：CN201710347812.7，公开号：CN107194723A).

11. 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，已授权(申请号：CN201810186972.2，公开号：CN108304587A).

12. 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：CN201810414330.3，公开号：CN108648049A).

13. 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，已授权(申请号：CN201810653420.8，公开号：CN108833173A).

14. 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，已授权(申请号：CN201811406037.9，公开号：CN109492229A).

15. 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，已授权(申请号：CN201811371967.5，公开号：CN109471946A).

【咨询研究/行业研究/标准研究】

1. 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》2019年，国家教育部采用并上报.

1. AI全球华人学者系列榜单(新星/青年/女性)研制与发布，2021-2023年.

【所获奖项】

1. 2023/11，天津大学硕士研究生毕业设计优秀指导教师

2. 2023/03，第一届中国研究生金融科技创新大赛优秀指导教师

3. 2022/08，第三届社会计算青年学者新星

4. 2022/05，百度学术全球AI华人青年学者榜单(AI+X智能管理)

5. 2021/11，天津大学青年教工示范岗

6. 2020/07，天津市高校智库优秀决策咨询研究成果二等奖

7. 2019/12，中国智库索引CTTI年度优秀成果

8. 2019/12，“长风杯”大数据分析与挖掘竞赛“优秀导师奖”

9. 2019/08，中国机器学习会议(CCML)“最佳学生论文奖”

10. 2019/08，2022/10，2023/07，天津大学本科毕业设计优秀指导教师

11. 2019/08，国际知识发现和数据挖掘竞赛(KDD-CUP Task 2)季军

12. 2019/07，中国人工智能学会(CAAI)优秀博士学位论文提名奖

13. 2019/06，中国科学技术大学优秀博士学位论文奖

14. 2018/10，中国科学院院长优秀奖

15. 2018/07，中国科学技术大学优秀博士毕业生

16. 2017/10，华瑜基金奖学金

17. 2017/07，中国科学院朱李月华优秀博士生奖学金

18. 2016/09，教育部博士生国家奖学金

19. 2016/08，SIGKDD学生旅行奖

20. 2014/12，ICDM学生旅行奖

21. 2014/10，华为企业奖学金

22. 2013/06，华南理工大学本科生优秀毕业论文

【承担科研项目】

1. 《智能营销大模型的算法管理与优化研究》，天津大学自主创新基金，2024年-2025年，主持

2. 《面向推荐大模型的数据融合及管理优化研究》，智能互联系统安徽省实验室自主创新专项，2024年-2026年，主持

3.《基于跨平台知识迁移的众筹创业项目分析与预测研究》，国家自然科学基金青年基金项目，2022年-2024年，主持

4.《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

5.《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

6.《面向价值创造的平台供应链整合》，国家自然科学基金重大项目子课题，2020年-2024年，参与

7.《基于区块链的工业物联网可信架构优化设计与数据安全风险管理研究》，国家自然科学基金重点项目，2023年-2027年，参与

【企业合作项目】

1. 《基于AIGC技术的组织诊断与员工评估研究》，百度技术研究课题，2023年-2024年，主持

2. 《面向商城营销垂直领域大模型的知识注入与混合学习》，CCF-联想蓝海科研基金，2023年-2024年，主持

3. 《面向联想商城和社区的协同学习优化研究》，联想研究院研究课题，2022年-2024年，主持

4. 《知识技能表征学习技术及在组织管理中的应用研究》，百度开放研究课题，2021年-2022年，主持

5. 《基于数学优化和强化学习的实时对战场景玩家体验优化》，网易伏羲AI实验室研究课题，2021年-2022年，主持

6. 《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

【学术兼职与服务】

Guest Editor(客座编辑)

1. Electronic Commerce Research and Applications

Program Committees(会议程序委员)

1. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining SIGKDD-2019, 2020,2021,2022,2023,2024)

2. The AAAI Conference on Artificial Intelligence (AAAI 2019,2020,2021, 2022, Senior,2024)

3. International Joint Conference on Artificial Intelligence (IJCAI 2021,2022, Senior,2023,2024)

4. The Web Conference (WWW-2022,2023,2024)

5. ACM International Conference on Information and Knowledge Management(CIKM, 2023)

6. International Conference on Web Search and Data Mining (WSDM-2022.2024)

7. SIAM International Conference on Data Mining (SDM-21)

8. INFORMS Data Science (DS) Workshop 2021

Journal Reviewers(期刊审稿人)

1.   INFORMS Journal on Computing (IJOC)

2. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)

3. IEEE Transactions on Systems, Man and Cybernetics: Systems (IEEE TSMC: Systems)

4. ACM Transactions on Management Information Systems (ACM TMIS)

5. IEEE Transactions on Big Data (IEEE TBD)

6. ACM Transactions on Data Science (ACM TDS)

7. IEEE Transactions on Emerging Topics in Computational Intelligence

8.   Decision Support Systems (DSS)

9. Springer World Wide Web (WWWJ)

10. Knowledge and Information Systems (KAIS)

11. International Transactions in Operational Research

12. SCIENCE CHINA Information Sciences (中国科学：信息科学)

13. Journal of Management Science and Engineering (JMSE, 管理科学学报英文版)

14. 管理科学学报