Ruihan Bao

According to our database, Ruihan Bao authored at least 18 papers between 2011 and 2024.

Collaborative distances:

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

2024

Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM.

Kun Ouyang, Yi Liu, Shicheng Li, Ruihan Bao, Keiko Harimoto, Xu Sun

CoRR, 2024

2023

ASAT: Adaptively scaled adversarial training in time series.

Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun

Neurocomputing, 2023

Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction.

Ruibo Chen, Zhiyuan Zhang, Yi Liu, Ruihan Bao, Keiko Harimoto, Xu Sun

CoRR, 2023

2022

Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction.

Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Stock Trading Volume Prediction with Dual-Process Meta-Learning.

Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling.

Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun

CoRR, 2021

ASAT: Adaptively Scaled Adversarial Training in Time Series.

Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun

CoRR, 2021

Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling.

Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network.

Ruixuan Luo, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun

CoRR, 2020

Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction.

Wei Li, Ruihan Bao, Keiko Harimoto, Deli Chen, Jingjing Xu, Qi Su

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

2019

Incorporating Fine-grained Events in Stock Movement Prediction.

Deli Chen, Yanyan Zou, Keiko Harimoto, Ruihan Bao, Xuancheng Ren, Xu Sun

CoRR, 2019

Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction.

Deli Chen, Shuming Ma, Keiko Harimoto, Ruihan Bao, Qi Su, Xu Sun

CoRR, 2019

2016

Fast 2D-to-3D matching with camera pose voting for 3D object identification.

Ruihan Bao, Kota Iwamoto

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2014

Management of complex data objects in ship designing process.

Ruihan Bao, Hongming Cai

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Local Feature Based Multiple Object Instance Identification Using Scale and Rotation Invariant Implicit Shape Model.

Ruihan Bao, Kyota Higa, Kota Iwamoto

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013

A hardware friendly algorithm for action recognition using spatio-temporal motion-field patches.

Ruihan Bao, Tadashi Shibata

Neurocomputing, 2013

2012

A Hierarchical Action Recognition System Applying Fisher Discrimination Dictionary Learning via Sparse Representation.

Ruihan Bao, Tadashi Shibata

Proceedings of the Artificial Intelligence and Soft Computing, 2012

2011

Spatio-temporal motion field descriptors for the hierarchical action recognition system.

Ruihan Bao, Tadashi Shibata

Proceedings of the 5th International Conference on Signal Processing and Communication Systems, 2011