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2020 – today
- 2024
[i9]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 abs/2403.16055 (2024)- 2023
- [j2]Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
ASAT: Adaptively scaled adversarial training in time series. Neurocomputing 522: 11-23 (2023) - [i8]Ruibo Chen, Zhiyuan Zhang, Yi Liu, Ruihan Bao, Keiko Harimoto, Xu Sun:
Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction. CoRR abs/2309.05608 (2023) - 2022
- [c9]Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun:
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction. ECML/PKDD (6) 2022: 105-120 - [c8]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: 137-153 - [i7]Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun:
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction. CoRR abs/2208.07232 (2022) - [i6]Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun:
Stock Trading Volume Prediction with Dual-Process Meta-Learning. CoRR abs/2211.01762 (2022) - 2021
- [c7]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: 3764-3770 - [i5]Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
ASAT: Adaptively Scaled Adversarial Training in Time Series. CoRR abs/2108.08976 (2021) - [i4]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 abs/2108.11318 (2021) - 2020
- [c6]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: 4541-4547 - [i3]Ruixuan Luo, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun:
Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network. CoRR abs/2012.13489 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1910.05032 (2019) - [i1]Deli Chen, Yanyan Zou, Keiko Harimoto, Ruihan Bao, Xuancheng Ren, Xu Sun:
Incorporating Fine-grained Events in Stock Movement Prediction. CoRR abs/1910.05078 (2019) - 2016
- [c5]Ruihan Bao, Kota Iwamoto:
Fast 2D-to-3D matching with camera pose voting for 3D object identification. ICIP 2016: 664-668 - 2014
- [c4]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: 600-614 - [c3]Ruihan Bao, Hongming Cai:
Management of complex data objects in ship designing process. DSAA 2014: 534-540 - 2013
- [j1]Ruihan Bao, Tadashi Shibata:
A hardware friendly algorithm for action recognition using spatio-temporal motion-field patches. Neurocomputing 100: 98-106 (2013) - 2012
- [c2]Ruihan Bao, Tadashi Shibata:
A Hierarchical Action Recognition System Applying Fisher Discrimination Dictionary Learning via Sparse Representation. ICAISC (1) 2012: 468-476 - 2011
- [c1]Ruihan Bao, Tadashi Shibata:
Spatio-temporal motion field descriptors for the hierarchical action recognition system. ICSPCS 2011: 1-6
Coauthor Index
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