Wenting Tu

According to our database, Wenting Tu authored at least 39 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

HDResNet: Hierarchical-Decomposition Residual Network for Hierarchical Time Series Forecasting.

Yi Xiang, Haoran Sun, Wenting Tu

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

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

A grouping-based AdaBoost method for factor investing.

Yujie Ding, Wenting Tu, Chuan Qin, Jun Chang

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021

Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study.

Min Yang, Weiyi Huang, Wenting Tu, Qiang Qu, Ying Shen, Kai Lei

IEEE Trans. Neural Networks Learn. Syst., 2021

Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification.

Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen

IEEE Trans. Affect. Comput., 2021

Assessing dynamic qualities of investor sentiments for stock recommendation.

Jun Chang, Wenting Tu, Changrui Yu, Chuan Qin

Inf. Process. Manag., 2021

2020

FollowAKOInvestor: Using Machine Learning to Hear Voices from All Kinds of Investors.

Jun Chang, Yujie Ding, Wenting Tu

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019

MARES: multitask learning algorithm for Web-scale real-time event summarization.

Min Yang, Wenting Tu, Qiang Qu, Kai Lei, Xiaojun Chen, Jia Zhu, Ying Shen

World Wide Web, 2019

Advanced community question answering by leveraging external knowledge and multi-task learning.

Min Yang, Wenting Tu, Qiang Qu, Wei Zhou, Qiao Liu, Jia Zhu

Knowl. Based Syst., 2019

Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling.

Min Yang, Qiang Qu, Xiaojun Chen, Wenting Tu, Ying Shen, Jia Zhu

Inf. Sci., 2019

HHMF: hidden hierarchical matrix factorization for recommender systems.

Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, David W. Cheung

Data Min. Knowl. Discov., 2019

Exploring Human-Like Reading Strategy for Abstractive Text Summarization.

Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Activity Recommendation with Partners.

Wenting Tu, David W. Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu

ACM Trans. Web, 2018

Personalized response generation by Dual-learning based domain adaptation.

Min Yang, Wenting Tu, Qiang Qu, Zhou Zhao, Xiaojun Chen, Jia Zhu

Neural Networks, 2018

Investment recommendation by discovering high-quality opinions in investor based social networks.

Wenting Tu, Min Yang, David W. Cheung, Nikos Mamoulis

Inf. Syst., 2018

A Topic Drift Model for authorship attribution.

Min Yang, Xiaojun Chen, Wenting Tu, Ziyu Lu, Jia Zhu, Qiang Qu

Neurocomputing, 2018

A Stock-Movement Aware Approach for Discovering Investors' Personalized Preferences in Stock Markets.

Jun Chang, Wenting Tu

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017

More focus on what you care about: Personalized top reviews set.

Wenting Tu, David W. Cheung, Nikos Mamoulis

Neurocomputing, 2017

Personalized location recommendation by aggregating multiple recommenders in diversity.

Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung

GeoInformatica, 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

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Attention Based LSTM for Target Dependent Sentiment Classification.

Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

User-generated content based recommendation systems for investment and e-commerce.

Wenting Tu

PhD thesis, 2016

Discovering Author Interest Evolution in Topic Modeling.

Min Yang, Jincheng Mei, Fei Xu, Wenting Tu, Ziyu Lu

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Investment Recommendation using Investor Opinions in Social Media.

Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015

Activity-Partner Recommendation.

Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Real-time Detection and Sorting of News on Microblogging Platforms.

Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu

Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation, 2015

LCCT: A Semi-supervised Model for Sentiment Classification.

Min Yang, Wenting Tu, Ziyu Lu, Wenpeng Yin, Kam-Pui Chow

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Ordering-Sensitive and Semantic-Aware Topic Modeling.

Min Yang, Tianyi Cui, Wenting Tu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Time-Sensitive Opinion Mining for Prediction.

Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Improving Microblog Retrieval from Exterior Corpus by Automatically Constructing Microblogging Corpus.

Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Semi-supervised feature extraction for EEG classification.

Wenting Tu, Shiliang Sun

Pattern Anal. Appl., 2013

2012

A subject transfer framework for EEG classification.

Wenting Tu, Shiliang Sun

Neurocomputing, 2012

Dynamical ensemble learning with model-friendly classifiers for domain adaptation.

Wenting Tu, Shiliang Sun

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

View Construction for Multi-view Semi-supervised Learning.

Shiliang Sun, Feng Jin, Wenting Tu

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Semi-supervised feature extraction with local temporal regularization for EEG classification.

Wenting Tu, Shiliang Sun

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Transferable Discriminative Dimensionality Reduction.

Wenting Tu, Shiliang Sun

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010

Importance Weighted Extreme Energy Ratio for EEG Classification.

Wenting Tu, Shiliang Sun

Proceedings of the Neural Information Processing. Models and Applications, 2010

Spatial Filter Selection with LASSO for EEG Classification.

Wenting Tu, Shiliang Sun

Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010