ENGLISH | 中文
姓名:涂文婷
最后学位:博士
职称:副教授
公共职务:
导师岗位:博导
办公室:210
电话:
Email:tu.wenting@mail.shufe.edu.cn
个人简介
我目前在上海财经大学的信息管理工程学院担任副教授。进入上财之前，于香港大学的计算机科学系获得博士学位，师从Prof. David Cheung和Prof. Nikos Mamoulis；于华东师范大学的计算机系获得硕士学位，师从孙仕亮教授。
我的研究兴趣包括机器学习算法以及相关应用，包括但不限于迁移学习、深度学习、文本挖掘技术在智能金融（例如征信风控、智能投顾）、推荐系统、教育大数据上的应用。截止到目前，我在上述相关方向上共发表了30余篇学术论文。欢迎访问我最新的个人主页了解更多关于我的科研和教学。
About me
I am currently an associate professor at the School of Information Management and Engineering, Shanghai University of Finance and Economics (SHUFE). I received my PhD degree in computer science from The University of Hong Kong (HKU) in 2016, supervised by Prof. David Cheung and Prof. Nikos Mamoulis. Before that, I received her M. S. degree from the Department of Computer Science, East China Normal University (ECNU) in 2012, supervised by Prof. Shiliang Sun. I has broad interests in data mining, machine learning and nature language processing. For more information about me, you can visit my new homepage.
教授课程

  • 机器学习（本科生 & 博士生,  本科生课程 & 研究生课程，主讲1/1）

  • 机器学习与深度学习（硕士生，研究生课程，合作主讲1/2）

  • 机器学习基础与应用（全校，通识课程，合作主讲1/5）

    • Teaching

  • Machine Learning

  • Machine Learning and Deep Learning

  • Machine Learning Foundations and Applications

科研项目

  • 基于多源多任务深度学习实现个性化金融推荐的算法研究
    （主持，国家级，青年科学基金项目）

  • 基于深度域适应学习框架实现信用风险智能预测的算法研究
    （主持，省部级，上海市青年科技英才扬帆计划）

  • 前沿人工智能理论驱动下的金融科技研究
    （主持，校级，新进教师科研启动经费）

教育背景

  • Ph.D @ 香港大学, 计算机科学系

  • ∙  导师: Prof. David Cheung & Prof. Nikos Mamoulis

  • ∙  研究方向：机器学习与数据挖掘

    • Education

  • Ph.D @ HKU, Department of Computer Science

  • ∙  Supervisors: Prof. David Cheung & Prof. Nikos Mamoulis

  • ∙  Research directions：Machine Learning and Data Mining

发表论文
Publications (Google Schorlar)
Tags: ML (Machine Learning), NLP (Nature Language Processing), DL (Deep Learning), Recsys (Recommendation Systems), Fintech, BCI (Brain-computer Interface), Security,
* (Corresponding author)
2021:

  • Hao Li☆, Hao Qiu☆, Shu Sun☆, Jun Chang Wenting Tu*: Credit Scoring by One-class Classification Driven Dynamical Ensemble Learning.Journal of the Operational Research Society (JORS) , 2021 (Accepted, ☆: equally contribution) [ML+Fintech]

    • 2020:

  • Jun Chang, Wenting Tu*, Changrui Yu, Chuan Qin: Assessing Dynamic Qualities of Investor Sentiments for Stock Recommendation.Information Processing and Management (IPM) , 2020 (Accepted) [ML+Fintech]

  • Jun Chang, Yujie Ding, Wenting Tu*: FollowAKOInvestor: Using Machine Learning to Hear Voices from All Kinds of Investors.Proceedings of the 32th IEEE International Conference on Tools with Artificial Intelligence (ICTAI) , 2020  [ML+Fintech]

  • Min Yang, Weiyi Huang, Wenting Tu, Qiang Qu, Ying Shen, Kai Lei: Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study.IEEE Transactions on Neural Networks and Learning Systems (TNNLS) , 2020 [DL+NLP]

    • 2019:

  • Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu*, David W.Cheung: H2MF: Hidden Hierarchical Matrix Factorization for Recommender Systems.Data Mining and Knowledge Discovery (DMKD),  2019  [Recsys]

  • Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen: Exploring Human-Like Reading Strategy for Abstractive Text Summarization.Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , 2019[DL+NLP]

  • Min Yang, Wenting Tu*, Wei Zhou, Qiao Liu, JiaZhu: Advanced Community Question Answering by Leveraging External Knowledge and Multi-task Learning.Knowledge-Based Systems , 2019 [DL+NLP]

    • 2018:

  • Jun Chang, Wenting Tu*: A Stock-movement Aware Approach for Discovering Investors' Personalized Preferences in Stock Markets.Proceedings of the 30th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2018  [Recsys+Fintech]

  • Min Yang, Wenting Tu*, Qiang Qu, Zhou Zhao, Xiaojun Chen, Jia Zhu: Personalized Response Generation by Dual-learning based Domain Adaptation.Neural Networks (IF: 7.197), 2018 [DL+NLP]

  • Wenting Tu, Min Yang, David W.Cheung, Nikos Mamoulis: Investment Recommendation by Discovering High-quality Opinions in Investor based Social Networks.Information Systems (Elsevier) (IF: 2.551), 2018  [ML+Recsys+Fintech]

    • 2017:

  • Wenting Tu, David W.Cheung, Nikos Mamoulis, Min Yang,  Ziyu Lu:  Activity Recommendation with Partners.ACM Transactions on the Web (IF: 1.163), 2017  [Recsys]

  • Wenting Tu, David W.Cheung, Nikos Mamoulis:  More Focus on What You Care About: Personalized Top Reviews Set.Neurocomputing (IF: 3.241), 2017  [NLP+Recsys]

    • 2016:

  • Wenting Tu, David W.Cheung, Nikos Mamoulis, Min Yang,  Ziyu Lu:  Investment Recommendation using Investor Opinions in Social Media.Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016 (short paper) [ML+Recsys+Fintech]

    • Before 2016:

  • Wenting Tu, David W.Cheung, Nikos Mamoulis, Min Yang,  Ziyu Lu:  Activity Partner Recommendation.Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2015  [Recsys]

  • Wenting Tu, David W.Cheung, Nikos Mamoulis: Time-sensitive Opinion Mining for Prediction. Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015 (poster) [NLP+Fintech]

  • Wenting Tu, David W.Cheung, Nikos Mamoulis:  Improving Microblog Rtrieval from Exterior Corpus by Automatically Constructing Microblogging Corpus. Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015 (poster) [NLP]

  • Wenting Tu, David W.Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu:  Real-time Detection and Sorting of News on Microblogging Platforms. Proceedings of the 29th Pacific Asia Conference on Language, Information and Computing (PACLIC), 2015 (poster) [NLP]

  • Min Yang, Tianyi Cui, Wenting Tu: Order-sensitive and Semantic-aware Topic Modeling Microblogging Corpus.Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015 [NLP]

  • Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung: Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity.Proceedings of the 9th RecSys Workshop on Location-Aware Recommendations (LocalRec), 2015 [Recsys]

  • Min Yang, Wenting Tu, Wenpeng Yin, Ziyu Lu: Deep Markov Neural Network for Sequential Data Classification.Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL), 2015 (short paper) [DL+NLP]

  • Min Yang, Wenting Tu, Ziyu Lu, Kam-Pui Chow: A Semi-supervised Model for Sentiment Classification.Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2015 [NLP]

  • Wenting Tu, Shiliang Sun: Semi-supervised Feature Extraction for EEG Classification.Pattern Analysis and Applications (PAA), 2013  [ML+BCI]

  • Wenting Tu, Shiliang Sun: Dynamical Ensemble Learning with Model-friendly Classifiers for Domain Adaptation.Proceedings of the 21st International Conference on Pattern Recognition (ICPR), 2012  [ML]

  • Wenting Tu, Shiliang Sun: A Subject Transfer Framework for EEG Classification. Neurocomputing, 2012  [ML+BCI]

  • Wenting Tu, Shiliang Sun: Cross-domain representation-learning framework with combination of class-separate and domain-merge objectives.Workshop on Cross Domain Knowledge Discovery in Web and Social Network Mining (KDD-Workshop), 2012  [ML]

  • Wenting Tu, Shiliang Sun: Transferable Discriminative Dimensionality Reduction. Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2011  [ML]

  • Wenting Tu, Shiliang Sun: Semi-supervised Feature Extraction with Local Temporal Regularization for EEG classification.  Proceedings of the 21st International Joint Conference on Neural Networks (IJCNN), 2011  [ML+BCI]

  • Wenting Tu, Shiliang Sun: Importance Weighted Extreme Energy Ratio for EEG Classification.  Proceedings of the 17th International Conference on Neural Information Processing (ICONIP), 2011  [ML+BCI]

  • Wenting Tu, Shiliang Sun: Spatial Filter Selection with Lasso for EEG Classification.Proceedings of the 6th International Conference on Advanced Data Mining and Applications (ADMA), 2010  [ML+BCI]

  • Shiliang Sun, Feng Jin, Wenting Tu: View construction for multi-view semi-supervised Learning.  Proceedings of the 8th International Symposium on Neural Networks (ISNN), 2010  [ML]


荣誉奖励

  •             上海财经大学第二届青年教师教学竞赛理工组三等奖            

  •             上海市研究生优秀成果（学位论文）            

  •             香港大学研究生奖学金（全额）            

  •             华东师范大学优秀毕业生            

  •             华东师范大学一等奖学金            

    • Awards

  •             Third-class Prize, The 2nd young teachers' teaching competition, Shanghai University of Finance and Economics 

  •             Shanghai Outstanding Theses (awarded by the Shanghai Degree Committee) 

  •             Postgraduate Scholarships, The University of Hong Kong 

  •             Outstanding Graduates, East China Normal University 

  •             First-class Postgraduate Scholarship, East China Normal University 


  • --------------- 感谢我的父母 --------------

  • ------Deepest gratitude to my parents------