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Wenting Tu
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2020 – today
- 2024
- [j17]Chuan Qin, Jun Chang
, Wenting Tu, Changrui Yu:
FollowAKOInvestor: Stock recommendation by hearing voices from all kinds of investors with machine learning. Expert Syst. Appl. 249: 123522 (2024) - [c25]Haoran Sun, Wenting Tu, Jiajie Zhan, Wanting Zhao:
HierNBeats: Hierarchical Neural Basis Expansion Analysis for Hierarchical Time Series Forecasting. ICANN (6) 2024: 251-266 - 2023
- [c24]Yi Xiang, Yujie Ding, Wenting Tu:
DLUIO: Detecting Useful Investor Opinions by Deep Learning. ICANN (10) 2023: 148-160 - [c23]Yi Xiang, Haoran Sun, Wenting Tu, Zejin Tian:
TSFRN: Integrated Time and Spatial-Frequency domain based on Triple-links Residual Network for Sales Forecasting. ICTAI 2023: 1012-1019 - [c22]Yi Xiang, Haoran Sun, Wenting Tu:
HDResNet: Hierarchical-Decomposition Residual Network for Hierarchical Time Series Forecasting. IJCNN 2023: 1-8 - 2022
- [j16]Hao Li, Hao Qiu, Shu Sun, Jun Chang, Wenting Tu:
Credit scoring by one-class classification driven dynamical ensemble learning. J. Oper. Res. Soc. 73(1): 181-190 (2022) - [c21]Yujie Ding, Wenting Tu, Chuan Qin, Jun Chang:
A grouping-based AdaBoost method for factor investing. ICTAI 2022: 14-19 - 2021
- [j15]Jun Chang, Wenting Tu, Changrui Yu, Chuan Qin:
Assessing dynamic qualities of investor sentiments for stock recommendation. Inf. Process. Manag. 58(2): 102452 (2021) - [j14]Min Yang
, Wenpeng Yin
, Qiang Qu
, Wenting Tu, Ying Shen
, Xiaojun Chen
:
Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. IEEE Trans. Affect. Comput. 12(3): 761-775 (2021) - [j13]Min Yang
, Weiyi Huang, Wenting Tu, Qiang Qu
, Ying Shen, Kai Lei
:
Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study. IEEE Trans. Neural Networks Learn. Syst. 32(1): 49-62 (2021) - 2020
- [c20]Jun Chang, Yujie Ding, Wenting Tu:
FollowAKOInvestor: Using Machine Learning to Hear Voices from All Kinds of Investors. ICTAI 2020: 875-882
2010 – 2019
- 2019
- [j12]Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, David W. Cheung:
HHMF: hidden hierarchical matrix factorization for recommender systems. Data Min. Knowl. Discov. 33(6): 1548-1582 (2019) - [j11]Min Yang, Qiang Qu
, Xiaojun Chen
, Wenting Tu, Ying Shen
, Jia Zhu
:
Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling. Inf. Sci. 486: 271-286 (2019) - [j10]Min Yang, Wenting Tu, Qiang Qu
, Wei Zhou, Qiao Liu
, Jia Zhu
:
Advanced community question answering by leveraging external knowledge and multi-task learning. Knowl. Based Syst. 171: 106-119 (2019) - [j9]Min Yang, Wenting Tu, Qiang Qu
, Kai Lei, Xiaojun Chen, Jia Zhu
, Ying Shen
:
MARES: multitask learning algorithm for Web-scale real-time event summarization. World Wide Web 22(2): 499-515 (2019) - [c19]Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen:
Exploring Human-Like Reading Strategy for Abstractive Text Summarization. AAAI 2019: 7362-7369 - 2018
- [j8]Min Yang, Xiaojun Chen
, Wenting Tu, Ziyu Lu, Jia Zhu
, Qiang Qu
:
A Topic Drift Model for authorship attribution. Neurocomputing 273: 133-140 (2018) - [j7]Wenting Tu, Min Yang
, David W. Cheung, Nikos Mamoulis:
Investment recommendation by discovering high-quality opinions in investor based social networks. Inf. Syst. 78: 189-198 (2018) - [j6]Min Yang, Wenting Tu, Qiang Qu
, Zhou Zhao, Xiaojun Chen, Jia Zhu
:
Personalized response generation by Dual-learning based domain adaptation. Neural Networks 103: 72-82 (2018) - [j5]Wenting Tu, David W. Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu:
Activity Recommendation with Partners. ACM Trans. Web 12(1): 4:1-4:29 (2018) - [c18]Jun Chang, Wenting Tu:
A Stock-Movement Aware Approach for Discovering Investors' Personalized Preferences in Stock Markets. ICTAI 2018: 275-280 - 2017
- [j4]Ziyu Lu
, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung:
Personalized location recommendation by aggregating multiple recommenders in diversity. GeoInformatica 21(3): 459-484 (2017) - [j3]Wenting Tu, David W. Cheung, Nikos Mamoulis:
More focus on what you care about: Personalized top reviews set. Neurocomputing 254: 3-12 (2017) - [c17]Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen:
Attention Based LSTM for Target Dependent Sentiment Classification. AAAI 2017: 5013-5014 - [c16]Jingxuan Wang, Wenting Tu, Lucas Chi Kwong Hui, Siu-Ming Yiu, Eric Ke Wang:
Detecting Time Synchronization Attacks in Cyber-Physical Systems with Machine Learning Techniques. ICDCS 2017: 2246-2251 - 2016
- [b1]Wenting Tu:
User-generated content based recommendation systems for investment and e-commerce. University of Hong Kong, Pokfulam, Hong Kong, 2016 - [c15]Min Yang, Jincheng Mei, Fei Xu, Wenting Tu, Ziyu Lu:
Discovering Author Interest Evolution in Topic Modeling. SIGIR 2016: 801-804 - [c14]Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu:
Investment Recommendation using Investor Opinions in Social Media. SIGIR 2016: 881-884 - 2015
- [c13]Min Yang, Tianyi Cui, Wenting Tu:
Ordering-Sensitive and Semantic-Aware Topic Modeling. AAAI 2015: 2353-2360 - [c12]Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis:
Improving Microblog Retrieval from Exterior Corpus by Automatically Constructing Microblogging Corpus. AAAI 2015: 4212-4213 - [c11]Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis:
Time-Sensitive Opinion Mining for Prediction. AAAI 2015: 4214-4215 - [c10]Min Yang, Wenting Tu, Ziyu Lu, Wenpeng Yin
, Kam-Pui Chow:
LCCT: A Semi-supervised Model for Sentiment Classification. HLT-NAACL 2015: 546-555 - [c9]Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu:
Real-time Detection and Sorting of News on Microblogging Platforms. PACLIC 2015 - [c8]Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu:
Activity-Partner Recommendation. PAKDD (1) 2015: 591-604 - [c7]Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung:
Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity. LocalRec@RecSys 2015: 28-35 - [i1]Min Yang, Tianyi Cui, Wenting Tu:
Ordering-sensitive and Semantic-aware Topic Modeling. CoRR abs/1502.03630 (2015) - 2013
- [j2]Wenting Tu, Shiliang Sun:
Semi-supervised feature extraction for EEG classification. Pattern Anal. Appl. 16(2): 213-222 (2013) - 2012
- [j1]Wenting Tu, Shiliang Sun:
A subject transfer framework for EEG classification. Neurocomputing 82: 109-116 (2012) - [c6]Wenting Tu, Shiliang Sun:
Dynamical ensemble learning with model-friendly classifiers for domain adaptation. ICPR 2012: 1181-1184 - 2011
- [c5]Wenting Tu, Shiliang Sun:
Transferable Discriminative Dimensionality Reduction. ICTAI 2011: 865-868 - [c4]Wenting Tu, Shiliang Sun:
Semi-supervised feature extraction with local temporal regularization for EEG classification. IJCNN 2011: 75-80 - [c3]Shiliang Sun, Feng Jin, Wenting Tu:
View Construction for Multi-view Semi-supervised Learning. ISNN (1) 2011: 595-601 - 2010
- [c2]Wenting Tu, Shiliang Sun:
Spatial Filter Selection with LASSO for EEG Classification. ADMA (2) 2010: 142-149 - [c1]Wenting Tu, Shiliang Sun:
Importance Weighted Extreme Energy Ratio for EEG Classification. ICONIP (2) 2010: 9-16
Coauthor Index
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last updated on 2024-10-04 21:04 CEST by the dblp team
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