Wenting Tu - RankMe

45 papers A* 7A 1B 8C 1Journal 19Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	CT-Based Intratumoral and Peritumoral Radiomics Nomograms for the Preoperative Prediction of Spread Through Air Spaces in Clinical Stage IA Non-small Cell Lung Cancer. J. Imaging Inform. Medicine Yun Wang, Deng Lyu, Lei Hu, Junhong Wu, Shaofeng Duan, Taohu Zhou, Wenting Tu, Yi Xiao, Li Fan, Shiyuan Liu
2024	J	`jnl`	FollowAKOInvestor: Stock recommendation by hearing voices from all kinds of investors with machine learning. Expert Syst. Appl. Chuan Qin, Jun Chang, Wenting Tu, Changrui Yu
2024	—	`conf`	HierNBeats: Hierarchical Neural Basis Expansion Analysis for Hierarchical Time Series Forecasting. ICANN (6) Haoran Sun, Wenting Tu, Jiajie Zhan, Wanting Zhao
2023	—	`conf`	DLUIO: Detecting Useful Investor Opinions by Deep Learning. ICANN (10) Yi Xiang, Yujie Ding, Wenting Tu
2023	B	`conf`	HDResNet: Hierarchical-Decomposition Residual Network for Hierarchical Time Series Forecasting. IJCNN Yi Xiang, Haoran Sun, Wenting Tu
2023	B	`conf`	TSFRN: Integrated Time and Spatial-Frequency domain based on Triple-links Residual Network for Sales Forecasting. ICTAI Yi Xiang, Haoran Sun, Wenting Tu, Zejin Tian
2022	B	`conf`	A grouping-based AdaBoost method for factor investing. ICTAI Yujie Ding, Wenting Tu, Chuan Qin, Jun Chang
2022	J	`jnl`	Credit scoring by one-class classification driven dynamical ensemble learning. J. Oper. Res. Soc. Hao Li, Hao Qiu, Shu Sun, Jun Chang, Wenting Tu
2021	J	`jnl`	Assessing dynamic qualities of investor sentiments for stock recommendation. Inf. Process. Manag. Jun Chang, Wenting Tu, Changrui Yu, Chuan Qin
2021	J	`jnl`	Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study. IEEE Trans. Neural Networks Learn. Syst. Min Yang, Weiyi Huang, Wenting Tu, Qiang Qu, Ying Shen, Kai Lei
2021	J	`jnl`	Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. IEEE Trans. Affect. Comput. Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen
2020	B	`conf`	FollowAKOInvestor: Using Machine Learning to Hear Voices from All Kinds of Investors. ICTAI Jun Chang, Yujie Ding, Wenting Tu
2019	J	`jnl`	Advanced community question answering by leveraging external knowledge and multi-task learning. Knowl. Based Syst. Min Yang, Wenting Tu, Qiang Qu, Wei Zhou, Qiao Liu, Jia Zhu
2019	J	`jnl`	Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling. Inf. Sci. Min Yang, Qiang Qu, Xiaojun Chen, Wenting Tu, Ying Shen, Jia Zhu
2019	A*	`conf`	Exploring Human-Like Reading Strategy for Abstractive Text Summarization. AAAI Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen
2019	J	`jnl`	HHMF: hidden hierarchical matrix factorization for recommender systems. Data Min. Knowl. Discov. Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, David W. Cheung
2019	J	`jnl`	MARES: multitask learning algorithm for Web-scale real-time event summarization. World Wide Web Min Yang, Wenting Tu, Qiang Qu, Kai Lei, Xiaojun Chen, Jia Zhu, Ying Shen
2018	B	`conf`	A Stock-Movement Aware Approach for Discovering Investors' Personalized Preferences in Stock Markets. ICTAI Jun Chang, Wenting Tu
2018	J	`jnl`	A Topic Drift Model for authorship attribution. Neurocomputing Min Yang, Xiaojun Chen, Wenting Tu, Ziyu Lu, Jia Zhu, Qiang Qu
2018	J	`jnl`	Activity Recommendation with Partners. ACM Trans. Web Wenting Tu, David W. Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu
2018	J	`jnl`	Investment recommendation by discovering high-quality opinions in investor based social networks. Inf. Syst. Wenting Tu, Min Yang, David W. Cheung, Nikos Mamoulis
2018	J	`jnl`	Personalized response generation by Dual-learning based domain adaptation. Neural Networks Min Yang, Wenting Tu, Qiang Qu, Zhou Zhao, Xiaojun Chen, Jia Zhu
2017	A*	`conf`	Attention Based LSTM for Target Dependent Sentiment Classification. AAAI Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen
2017	A	`conf`	Detecting Time Synchronization Attacks in Cyber-Physical Systems with Machine Learning Techniques. ICDCS Jingxuan Wang, Wenting Tu, Lucas Chi Kwong Hui, Siu-Ming Yiu, Eric Ke Wang
2017	J	`jnl`	More focus on what you care about: Personalized top reviews set. Neurocomputing Wenting Tu, David W. Cheung, Nikos Mamoulis
2017	J	`jnl`	Personalized location recommendation by aggregating multiple recommenders in diversity. GeoInformatica Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung
2016	A*	`conf`	Discovering Author Interest Evolution in Topic Modeling. SIGIR Min Yang, Jincheng Mei, Fei Xu, Wenting Tu, Ziyu Lu
2016	A*	`conf`	Investment Recommendation using Investor Opinions in Social Media. SIGIR Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu
2016	—	`—`	User-generated content based recommendation systems for investment and e-commerce. Wenting Tu
2015	—	`conf`	Activity-Partner Recommendation. PAKDD (1) Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu
2015	A*	`conf`	Improving Microblog Retrieval from Exterior Corpus by Automatically Constructing Microblogging Corpus. AAAI Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis
2015	—	`conf`	LCCT: A Semi-supervised Model for Sentiment Classification. HLT-NAACL Min Yang, Wenting Tu, Ziyu Lu, Wenpeng Yin, Kam-Pui Chow
2015	A*	`conf`	Ordering-Sensitive and Semantic-Aware Topic Modeling. AAAI Min Yang, Tianyi Cui, Wenting Tu
2015	J	`jnl`	Ordering-sensitive and Semantic-aware Topic Modeling. CoRR Min Yang, Tianyi Cui, Wenting Tu
2015	—	`conf`	Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity. LocalRec@RecSys Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung
2015	C	`conf`	Real-time Detection and Sorting of News on Microblogging Platforms. PACLIC Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu
2015	A*	`conf`	Time-Sensitive Opinion Mining for Prediction. AAAI Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis
2013	J	`jnl`	Semi-supervised feature extraction for EEG classification. Pattern Anal. Appl. Wenting Tu, Shiliang Sun
2012	J	`jnl`	A subject transfer framework for EEG classification. Neurocomputing Wenting Tu, Shiliang Sun
2012	B	`conf`	Dynamical ensemble learning with model-friendly classifiers for domain adaptation. ICPR Wenting Tu, Shiliang Sun
2011	B	`conf`	Semi-supervised feature extraction with local temporal regularization for EEG classification. IJCNN Wenting Tu, Shiliang Sun
2011	B	`conf`	Transferable Discriminative Dimensionality Reduction. ICTAI Wenting Tu, Shiliang Sun
2011	—	`conf`	View Construction for Multi-view Semi-supervised Learning. ISNN (1) Shiliang Sun, Feng Jin, Wenting Tu
2010	—	`conf`	Importance Weighted Extreme Energy Ratio for EEG Classification. ICONIP (2) Wenting Tu, Shiliang Sun
2010	—	`conf`	Spatial Filter Selection with LASSO for EEG Classification. ADMA (2) Wenting Tu, Shiliang Sun