| 2024 | ICANN | HierNBeats: Hierarchical Neural Basis Expansion Analysis for Hierarchical Time Series Forecasting. | Haoran Sun, Wenting Tu, Jiajie Zhan, Wanting Zhao |
| 2023 | ICANN | DLUIO: Detecting Useful Investor Opinions by Deep Learning. | Yi Xiang, Yujie Ding, Wenting Tu |
| 2023 | IJCNN | HDResNet: Hierarchical-Decomposition Residual Network for Hierarchical Time Series Forecasting. | Yi Xiang, Haoran Sun, Wenting Tu |
| 2023 | ICTAI | TSFRN: Integrated Time and Spatial-Frequency domain based on Triple-links Residual Network for Sales Forecasting. | Yi Xiang, Haoran Sun, Wenting Tu, Zejin Tian |
| 2022 | ICTAI | A grouping-based AdaBoost method for factor investing. | Yujie Ding, Wenting Tu, Chuan Qin, Jun Chang |
| 2020 | ICTAI | FollowAKOInvestor: Using Machine Learning to Hear Voices from All Kinds of Investors. | Jun Chang, Yujie Ding, Wenting Tu |
| 2019 | AAAI | Exploring Human-Like Reading Strategy for Abstractive Text Summarization. | Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen |
| 2018 | ICTAI | A Stock-Movement Aware Approach for Discovering Investors' Personalized Preferences in Stock Markets. | Jun Chang, Wenting Tu |
| 2017 | AAAI | Attention Based LSTM for Target Dependent Sentiment Classification. | Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen |
| 2017 | ICDCS | Detecting Time Synchronization Attacks in Cyber-Physical Systems with Machine Learning Techniques. | Jingxuan Wang, Wenting Tu, Lucas Chi Kwong Hui, Siu-Ming Yiu, Eric Ke Wang |
| 2016 | SIGIR | Investment Recommendation using Investor Opinions in Social Media. | Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu |
| 2016 | SIGIR | Discovering Author Interest Evolution in Topic Modeling. | Min Yang, Jincheng Mei, Fei Xu, Wenting Tu, Ziyu Lu |
| 2015 | AAAI | Improving Microblog Retrieval from Exterior Corpus by Automatically Constructing Microblogging Corpus. | Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis |
| 2015 | AAAI | Time-Sensitive Opinion Mining for Prediction. | Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis |
| 2015 | AAAI | Ordering-Sensitive and Semantic-Aware Topic Modeling. | Min Yang, Tianyi Cui, Wenting Tu |
| 2015 | NAACL | LCCT: A Semi-supervised Model for Sentiment Classification. | Min Yang, Wenting Tu, Ziyu Lu, Wenpeng Yin, Kam-Pui Chow |
| 2015 | PACLIC | Real-time Detection and Sorting of News on Microblogging Platforms. | Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu |
| 2015 | PAKDD | Activity-Partner Recommendation. | Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu |
| 2015 | RecSys | Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity. | Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung |
| 2012 | ICPR | Dynamical ensemble learning with model-friendly classifiers for domain adaptation. | Wenting Tu, Shiliang Sun |
| 2011 | IJCNN | Semi-supervised feature extraction with local temporal regularization for EEG classification. | Wenting Tu, Shiliang Sun |
| 2011 | ICTAI | Transferable Discriminative Dimensionality Reduction. | Wenting Tu, Shiliang Sun |
| 2011 | ISNN | View Construction for Multi-view Semi-supervised Learning. | Shiliang Sun, Feng Jin, Wenting Tu |
| 2010 | ADMA | Spatial Filter Selection with LASSO for EEG Classification. | Wenting Tu, Shiliang Sun |
| 2010 | ICONIP | Importance Weighted Extreme Energy Ratio for EEG Classification. | Wenting Tu, Shiliang Sun |