Ruihan Bao

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 15

Top Topics

Monetary Policy

Implicit Shape Model

Scale And Rotation Invariant

Top Venues

Publications

Kun Ouyang, Yi Liu, Shicheng Li, Ruihan Bao, Keiko Harimoto, Xu Sun
Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM. CoRR (2024)
Ruibo Chen, Zhiyuan Zhang, Yi Liu, Ruihan Bao, Keiko Harimoto, Xu Sun
Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction. CoRR (2023)
Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun
ASAT: Adaptively scaled adversarial training in time series. Neurocomputing 522 (2023)
Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
Stock Trading Volume Prediction with Dual-Process Meta-Learning. CoRR (2022)
Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
Stock Trading Volume Prediction with Dual-Process Meta-Learning. ECML/PKDD (6) (2022)
Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction. ECML/PKDD (6) (2022)
Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction. CoRR (2022)
Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling. IJCAI (2021)
Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling. CoRR (2021)
Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun
ASAT: Adaptively Scaled Adversarial Training in Time Series. CoRR (2021)
Wei Li, Ruihan Bao, Keiko Harimoto, Deli Chen, Jingjing Xu, Qi Su
Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction. IJCAI (2020)
Ruixuan Luo, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network. CoRR (2020)
Deli Chen, Yanyan Zou, Keiko Harimoto, Ruihan Bao, Xuancheng Ren, Xu Sun
Incorporating Fine-grained Events in Stock Movement Prediction. CoRR (2019)
Deli Chen, Shuming Ma, Keiko Harimoto, Ruihan Bao, Qi Su, Xu Sun
Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction. CoRR (2019)
Ruihan Bao, Kota Iwamoto
Fast 2D-to-3D matching with camera pose voting for 3D object identification. ICIP (2016)
Ruihan Bao, Kyota Higa, Kota Iwamoto
Local Feature Based Multiple Object Instance Identification Using Scale and Rotation Invariant Implicit Shape Model. ACCV Workshops (1) (2014)
Ruihan Bao, Hongming Cai
Management of complex data objects in ship designing process. DSAA (2014)
Ruihan Bao, Tadashi Shibata
A hardware friendly algorithm for action recognition using spatio-temporal motion-field patches. Neurocomputing 100 (2013)
Ruihan Bao, Tadashi Shibata
A Hierarchical Action Recognition System Applying Fisher Discrimination Dictionary Learning via Sparse Representation. ICAISC (1) (2012)
Ruihan Bao, Tadashi Shibata
Spatio-temporal motion field descriptors for the hierarchical action recognition system. ICSPCS (2011)