涂文婷，博士毕业于香港大学，现任上海财经大学计算机与人工智能学院副教授。主要研究兴趣为机器学习算法及其在智能投顾、智慧供应链、脑电信号分类等方向上的应用。目前主持国家自然科学基金项目、扬帆科技人才等多项国家级或省市级项目。并在人工智能/数据挖掘相关知名会议或期刊 AAAI, SIGIR, ACL 等上发表40多篇论文论文。

香港大学，计算机科学(数据挖掘)，博士，                                                                                  2012.09–2016.06

导师: Prof. David Cheung & Prof. Nikos Mamoulis              

上海财经大学，计算机与人工智能学院，副教授                                                                           2024.12 – 迄今

上海财经大学，信息管理与工程学院，副教授                                                                              2019.07–2024.11

时间序列预测（基于深度学习）

Haoran Sun, Wenting Tu (通讯作者), Jiajie Zhan, Wanting Zhao:HierNBeats: Hierarchical Neural Basis Expansion Analysis for Hierarchical Time Series Forecasting.International Conference on Artificial Neural Networks (ICANN), 2024

Yi Xiang, Haoran Sun, Wenting Tu (通讯作者), Zejin Tian:TSFRN: Integrated Time and Spatial-Frequency domain based on Triple-links Residual Network for Sales Forecasting.Proceedings of the 30th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2023

Yi Xiang, Haoran Sun, Wenting Tu (通讯作者):HDResNet: hierarchical-decomposition residual network for hierarchical time series forecasting.International Joint Conference on Neural Networks (IJCNN), 2023

智能投顾

Jun Chang, Yujie Ding, Wenting Tu (通讯作者):DLUIO: Detecting Useful Investor Opinions by Deep Learning.International Conference on Artificial Neural Networks (ICANN), 2023

Jun Chang, Wenting Tu (通讯作者), Changrui Yu, Chuan Qin:Assessing dynamic qualities of investor sentiments for stock recommendation.Information Processing & Management (IPM), 2021

Jun Chang, Yujie Ding, Wenting Tu (通讯作者):FollowAKOInvestor: Using machine learning to hear voices from all kinds of investors.2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), 2020

Wenting Tu, Min Yang, David W.Cheung, Nikos Mamoulis. Investment Recommendation by Discovering High-quality Opinions in Investor based Social Networks. Information Systems, 2018

Jun Chang, Wenting Tu (通讯作者). 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

Wenting Tu, David W.Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu:Investment Recommendation using Investor Opinions in Social Media.In the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016

自然语言处理、推荐系统、征信风控

Hao Li, Hao Qiu, Shu Sun, Jun Chang, Wenting Tu (通讯作者):Credit scoring by one-class classification driven dynamical ensemble learning.Journal of the Operational Research Society, 2022

Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu (通讯作者), David W Cheung:HHMF: hidden hierarchical matrix factorization for recommender systems.Data Mining and Knowledge Discovery (DMKD), 2019

Min Yang, Wenting Tu (通讯作者),, Qiang Qu, Qiao Liu, Xiaojun Chen:Advanced community question answering by leveraging external knowledge and multi-task learning.Knowledge-Based Systems (KBS), 2019

Min Yang, Wenting Tu (通讯作者), Qiang Qu, Zhou Zhao, Xiaojun Chen, Jia Zhu:Personalized Response Generation by Dual-learning based Domain Adaptation.  Neural Networks, 2018

Wenting Tu, David W.Cheung, Nikos Mamoulis:Activity Recommendation with Partners.  ACM Transactions on the Web (TWEB), 2017

Wenting Tu, David W.Cheung, Nikos Mamoulis, Improving microblog retrieval from exterior corpus by automatically constructing a microblogging corpus. Proceedings of the 29th AAAI Conference on Artifi cial Intelligence( AAAI),Austin, Texas, 2015.

Wenting Tu, David W.Cheung, Nikos Mamoulis, Time-sensitive opinion mining for prediction. Proceedings of the 29th AAAI Conference on Artifi cial Intelligence (AAAI), Austin, Texas, 2015.

脑电信号

    Wenting Tu, Shiliang Sun: Subject Transfer Framework for EEGClassification. Neurocomputing. 2012

    Wenting Tu, Shiliang Sun: Semi-supervised Feature Extraction for EEG Classification. Pattern Analysis and             Applications (PAA), 2012

    Wenting Tu, Shiliang Sun: Semi-supervised Feature Extraction with Local Temporal Regularizationfor EEG Classification. In the 21st International Joint Conference on Neural Networks (IJCNN), 2011

    Wenting Tu, Shiliang Sun: Importance Weighted Extreme Energy Ratio for EEG Classification.In the 17th International Conference on Neural Information Processing (ICONIP), 2010

    Wenting Tu, Shiliang Sun:Spatial Filter Selection with Lassofor EEG Classification. In the 6th International Conference on Advanced Data Mining and Applications (ADMA), 2010

[国家级]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(27万)                                    2019/01 – 2021/12

∙ 主持, 纵向(国家级), 青年科学基金项目

[省市级]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( 20万)                                2018/05 – 2021/04

∙ 主持, 纵向(省部级), 上海市青年科技英才扬帆计划

教授课程

机器学习与深度学习（上海财经大学）