Spatio-temporal motion field descriptors for the hierarchical action recognition system. - Ruihan Bao; Tadashi Shibata (ICSPCS, 2011)

A Hierarchical Action Recognition System Applying Fisher Discrimination Dictionary Learning via Sparse Representation. - Ruihan Bao; Tadashi Shibata (ICAISC (1), 2012)

A hardware friendly algorithm for action recognition using spatio-temporal motion-field patches. - Ruihan Bao; Tadashi Shibata (Neurocomputing, 2013)

Local Feature Based Multiple Object Instance Identification Using Scale and Rotation Invariant Implicit Shape Model. - Ruihan Bao; Kyota Higa; Kota Iwamoto (ACCV Workshops (1), 2014)

Management of complex data objects in ship designing process. - Ruihan Bao; Hongming Cai 001 (DSAA, 2014)

Fast 2D-to-3D matching with camera pose voting for 3D object identification. - Ruihan Bao; Kota Iwamoto (ICIP, 2016)

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 001; Xu Sun 001 (CoRR, 2019)

Incorporating Fine-grained Events in Stock Movement Prediction. - Deli Chen; Yanyan Zou; Keiko Harimoto; Ruihan Bao; Xuancheng Ren; Xu Sun 001 (CoRR, 2019)

Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction. - Wei Li 101; Ruihan Bao; Keiko Harimoto; Deli Chen; Jingjing Xu 001; Qi Su 001 (IJCAI, 2020)

Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network. - Ruixuan Luo; Wei Li 101; Zhiyuan Zhang 001; Ruihan Bao; Keiko Harimoto; Xu Sun 001 (CoRR, 2020)

Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling. - Liang Zhao; Wei Li 089; Ruihan Bao; Keiko Harimoto; Yunfang Wu; Xu Sun 001 (IJCAI, 2021)

ASAT: Adaptively Scaled Adversarial Training in Time Series. - Zhiyuan Zhang 001; Wei Li 089; Ruihan Bao; Keiko Harimoto; Yunfang Wu; Xu Sun 001 (CoRR, 2021)

Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling. - Liang Zhao; Wei Li 101; Ruihan Bao; Keiko Harimoto; Yunfang Wu; Xu Sun 001 (CoRR, 2021)

Stock Trading Volume Prediction with Dual-Process Meta-Learning. - Ruibo Chen; Wei Li 089; Zhiyuan Zhang 001; Ruihan Bao; Keiko Harimoto; Xu Sun 001 (ECML/PKDD (6), 2022)

Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction. - Lei Li 039; Zhiyuan Zhang 001; Ruihan Bao; Keiko Harimoto; Xu Sun 001 (ECML/PKDD (6), 2022)

Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction. - Ruibo Chen; Zhiyuan Zhang 001; Yi Liu; Ruihan Bao; Keiko Harimoto; Xu Sun 001 (CoRR, 2023)

ASAT: Adaptively scaled adversarial training in time series. - Zhiyuan Zhang 001; Wei Li 101; Ruihan Bao; Keiko Harimoto; Yunfang Wu; Xu Sun 001 (Neurocomputing, 2023)

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 001 (CoRR, 2024)

Proxy Tuning for Financial Sentiment Analysis: Overcoming Data Scarcity and Computational Barriers. - Yuxiang Wang; Yuchi Wang; Yi Liu; Ruihan Bao; Keiko Harimoto; Xu Sun 001 (COLING Workshops, 2025)

Modeling Interactions Between Stocks Using LLM-Enhanced Graphs for Volume Prediction. - Zhiyu Xu; Yi Liu; Yuchi Wang; Ruihan Bao; Keiko Harimoto; Xu Sun 001 (COLING Workshops, 2025)