Ruihan Bao

22 papers A* 2B 2Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Modeling Interactions Between Stocks Using LLM-Enhanced Graphs for Volume Prediction.
COLING Workshops
Zhiyu Xu, Yi Liu, Yuchi Wang, Ruihan Bao, Keiko Harimoto, Xu Sun
2025 — conf
Proxy Tuning for Financial Sentiment Analysis: Overcoming Data Scarcity and Computational Barriers.
COLING Workshops
Yuxiang Wang, Yuchi Wang, Yi Liu, Ruihan Bao, Keiko Harimoto, Xu Sun
2024 J jnl
Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM.
CoRR
Kun Ouyang, Yi Liu, Shicheng Li, Ruihan Bao, Keiko Harimoto, Xu Sun
2023 J jnl
ASAT: Adaptively scaled adversarial training in time series.
Neurocomputing
Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun
2023 J jnl
Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction.
CoRR
Ruibo Chen, Zhiyuan Zhang, Yi Liu, Ruihan Bao, Keiko Harimoto, Xu Sun
2022 — conf
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction.
ECML/PKDD (6)
Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
2022 J jnl
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction.
CoRR
Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
2022 — conf
Stock Trading Volume Prediction with Dual-Process Meta-Learning.
ECML/PKDD (6)
Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
2022 J jnl
Stock Trading Volume Prediction with Dual-Process Meta-Learning.
CoRR
Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
2021 J jnl
ASAT: Adaptively Scaled Adversarial Training in Time Series.
CoRR
Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun
2021 A* conf
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling.
IJCAI
Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun
2021 J jnl
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling.
CoRR
Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun
2020 J jnl
Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network.
CoRR
Ruixuan Luo, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
2020 A* conf
Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction.
IJCAI
Wei Li, Ruihan Bao, Keiko Harimoto, Deli Chen, Jingjing Xu, Qi Su
2019 J jnl
Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction.
CoRR
Deli Chen, Shuming Ma, Keiko Harimoto, Ruihan Bao, Qi Su, Xu Sun
2019 J jnl
Incorporating Fine-grained Events in Stock Movement Prediction.
CoRR
Deli Chen, Yanyan Zou, Keiko Harimoto, Ruihan Bao, Xuancheng Ren, Xu Sun
2016 B conf
Fast 2D-to-3D matching with camera pose voting for 3D object identification.
ICIP
Ruihan Bao, Kota Iwamoto
2014 — conf
Local Feature Based Multiple Object Instance Identification Using Scale and Rotation Invariant Implicit Shape Model.
ACCV Workshops (1)
Ruihan Bao, Kyota Higa, Kota Iwamoto
2014 B conf
Management of complex data objects in ship designing process.
DSAA
Ruihan Bao, Hongming Cai
2013 J jnl
A hardware friendly algorithm for action recognition using spatio-temporal motion-field patches.
Neurocomputing
Ruihan Bao, Tadashi Shibata
2012 — conf
A Hierarchical Action Recognition System Applying Fisher Discrimination Dictionary Learning via Sparse Representation.
ICAISC (1)
Ruihan Bao, Tadashi Shibata
2011 — conf
Spatio-temporal motion field descriptors for the hierarchical action recognition system.
ICSPCS
Ruihan Bao, Tadashi Shibata