Spatial Filter Selection with LASSO for EEG Classification. - Wenting Tu; Shiliang Sun (ADMA (2), 2010)

Importance Weighted Extreme Energy Ratio for EEG Classification. - Wenting Tu; Shiliang Sun (ICONIP (2), 2010)

Transferable Discriminative Dimensionality Reduction. - Wenting Tu; Shiliang Sun (ICTAI, 2011)

Semi-supervised feature extraction with local temporal regularization for EEG classification. - Wenting Tu; Shiliang Sun (IJCNN, 2011)

View Construction for Multi-view Semi-supervised Learning. - Shiliang Sun; Feng Jin; Wenting Tu (ISNN (1), 2011)

Dynamical ensemble learning with model-friendly classifiers for domain adaptation. - Wenting Tu; Shiliang Sun (ICPR, 2012)

A subject transfer framework for EEG classification. - Wenting Tu; Shiliang Sun (Neurocomputing, 2012)

Semi-supervised feature extraction for EEG classification. - Wenting Tu; Shiliang Sun (Pattern Anal. Appl., 2013)

Improving Microblog Retrieval from Exterior Corpus by Automatically Constructing Microblogging Corpus. - Wenting Tu; David Wai-Lok Cheung; Nikos Mamoulis (AAAI, 2015)

Time-Sensitive Opinion Mining for Prediction. - Wenting Tu; David Wai-Lok Cheung; Nikos Mamoulis (AAAI, 2015)

Ordering-Sensitive and Semantic-Aware Topic Modeling. - Min Yang 007; Tianyi Cui; Wenting Tu (AAAI, 2015)

LCCT: A Semi-supervised Model for Sentiment Classification. - Min Yang 007; Wenting Tu; Ziyu Lu; Wenpeng Yin 001; Kam-Pui Chow (HLT-NAACL, 2015)

Real-time Detection and Sorting of News on Microblogging Platforms. - Wenting Tu; David Wai-Lok Cheung; Nikos Mamoulis; Min Yang 007; Ziyu Lu (PACLIC, 2015)

Activity-Partner Recommendation. - Wenting Tu; David Wai-Lok Cheung; Nikos Mamoulis; Min Yang 007; Ziyu Lu (PAKDD (1), 2015)

Investment Recommendation using Investor Opinions in Social Media. - Wenting Tu; David Wai-Lok Cheung; Nikos Mamoulis; Min Yang 007; Ziyu Lu (SIGIR, 2016)

Discovering Author Interest Evolution in Topic Modeling. - Min Yang 007; Jincheng Mei; Fei Xu; Wenting Tu; Ziyu Lu (SIGIR, 2016)

User-generated content based recommendation systems for investment and e-commerce. - Wenting Tu (2016)

Attention Based LSTM for Target Dependent Sentiment Classification. - Min Yang 007; Wenting Tu; Jingxuan Wang; Fei Xu; Xiaojun Chen 006 (AAAI, 2017)

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 (ICDCS, 2017)

Personalized location recommendation by aggregating multiple recommenders in diversity. - Ziyu Lu; Hao Wang 013; Nikos Mamoulis; Wenting Tu; David W. Cheung (GeoInformatica, 2017)

More focus on what you care about: Personalized top reviews set. - Wenting Tu; David W. Cheung; Nikos Mamoulis (Neurocomputing, 2017)

A Stock-Movement Aware Approach for Discovering Investors' Personalized Preferences in Stock Markets. - Jun Chang; Wenting Tu (ICTAI, 2018)

A Topic Drift Model for authorship attribution. - Min Yang 007; Xiaojun Chen 006; Wenting Tu; Ziyu Lu; Jia Zhu 003; Qiang Qu (Neurocomputing, 2018)

Investment recommendation by discovering high-quality opinions in investor based social networks. - Wenting Tu; Min Yang 007; David W. Cheung; Nikos Mamoulis (Inf. Syst., 2018)

Personalized response generation by Dual-learning based domain adaptation. - Min Yang 007; Wenting Tu; Qiang Qu; Zhou Zhao 001; Xiaojun Chen 006; Jia Zhu 003 (Neural Networks, 2018)

Activity Recommendation with Partners. - Wenting Tu; David W. Cheung; Nikos Mamoulis; Min Yang 007; Ziyu Lu (ACM Trans. Web, 2018)

Exploring Human-Like Reading Strategy for Abstractive Text Summarization. - Min Yang 007; Qiang Qu; Wenting Tu; Ying Shen 001; Zhou Zhao 001; Xiaojun Chen 006 (AAAI, 2019)

HHMF: hidden hierarchical matrix factorization for recommender systems. - Hui Li 057; Yu Liu 066; Yuqiu Qian; Nikos Mamoulis; Wenting Tu; David W. Cheung (Data Min. Knowl. Discov., 2019)

Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling. - Min Yang 007; Qiang Qu; Xiaojun Chen 006; Wenting Tu; Ying Shen 001; Jia Zhu 003 (Inf. Sci., 2019)

Advanced community question answering by leveraging external knowledge and multi-task learning. - Min Yang 007; Wenting Tu; Qiang Qu; Wei Zhou 028; Qiao Liu 003; Jia Zhu 003 (Knowl. Based Syst., 2019)

MARES: multitask learning algorithm for Web-scale real-time event summarization. - Min Yang 007; Wenting Tu; Qiang Qu; Kai Lei; Xiaojun Chen 006; Jia Zhu 003; Ying Shen 001 (World Wide Web, 2019)

FollowAKOInvestor: Using Machine Learning to Hear Voices from All Kinds of Investors. - Jun Chang; Yujie Ding; Wenting Tu (ICTAI, 2020)

Assessing dynamic qualities of investor sentiments for stock recommendation. - Jun Chang; Wenting Tu; Changrui Yu; Chuan Qin (Inf. Process. Manag., 2021)

Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. - Min Yang 007; Wenpeng Yin 001; Qiang Qu; Wenting Tu; Ying Shen 001; Xiaojun Chen 006 (IEEE Trans. Affect. Comput., 2021)

Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study. - Min Yang 007; Weiyi Huang; Wenting Tu; Qiang Qu; Ying Shen 001; Kai Lei (IEEE Trans. Neural Networks Learn. Syst., 2021)

A grouping-based AdaBoost method for factor investing. - Yujie Ding; Wenting Tu; Chuan Qin; Jun Chang (ICTAI, 2022)

Credit scoring by one-class classification driven dynamical ensemble learning. - Hao Li; Hao Qiu; Shu Sun; Jun Chang; Wenting Tu (J. Oper. Res. Soc., 2022)

DLUIO: Detecting Useful Investor Opinions by Deep Learning. - Yi Xiang; Yujie Ding; Wenting Tu (ICANN (10), 2023)

TSFRN: Integrated Time and Spatial-Frequency domain based on Triple-links Residual Network for Sales Forecasting. - Yi Xiang; Haoran Sun; Wenting Tu; Zejin Tian (ICTAI, 2023)

HDResNet: Hierarchical-Decomposition Residual Network for Hierarchical Time Series Forecasting. - Yi Xiang; Haoran Sun; Wenting Tu (IJCNN, 2023)

HierNBeats: Hierarchical Neural Basis Expansion Analysis for Hierarchical Time Series Forecasting. - Haoran Sun; Wenting Tu; Jiajie Zhan; Wanting Zhao (ICANN (6), 2024)

FollowAKOInvestor: Stock recommendation by hearing voices from all kinds of investors with machine learning. - Chuan Qin 001; Jun Chang; Wenting Tu; Changrui Yu (Expert Syst. Appl., 2024)