Fangzhou Yang

According to our database, Fangzhou Yang authored at least 13 papers between 2015 and 2023.

Collaborative distances:

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

2023

Adversarial Multi-task Learning for Efficient Chinese Named Entity Recognition.

Yibo Yan, Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023

2022

Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph.

Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Dingjiang Huang, Weining Qian, Aoying Zhou

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Financial time series forecasting with multi-modality graph neural network.

Dawei Cheng, Fangzhou Yang, Sheng Xiang, Jin Liu

Pattern Recognit., 2022

SI-News: Integrating social information for news recommendation with attention-based graph convolutional network.

Peng Zhu, Dawei Cheng, Siqiang Luo, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou

Neurocomputing, 2022

2021

ZH-NER: Chinese Named Entity Recognition with Adversarial Multi-task Learning and Self-Attentions.

Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments.

Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang, Liqing Zhang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification.

Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents.

Mengzhen Fan, Dawei Cheng, Fangzhou Yang, Siqiang Luo, Yifeng Luo, Weining Qian, Aoying Zhou

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection.

Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Dynamic Default Prediction Framework for Networked-guarantee Loans.

Dawei Cheng, Yiyi Zhang, Fangzhou Yang, Yi Tu, Zhibin Niu, Liqing Zhang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017

Optimising column family for OLAP queries in HBase.

Fangzhou Yang, Dragan Milosevic, Jian Cao

Int. J. Big Data Intell., 2017

Personalized flight recommendations via paired choice modeling.

Jian Cao, Fangzhou Yang, Yuchang Xu, Yudong Tan, Quan-Wu Xiao

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015

An Evolutionary Algorithm for Column Family Schema Optimization in HBase.

Fangzhou Yang, Dragan Milosevic, Jian Cao

Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015