| 2023 | ICONIP | Vessel Behavior Anomaly Detection Using Graph Attention Network. | Yuanzhe Zhang, Qiqiang Jin, Maohan Liang, Ruixin Ma, Ryan Wen Liu |
| 2023 | ICPADS | Enhancing Path Information with Reinforcement Learning for Few-shot Knowledge Graph Completion. | Ruixin Ma, Mengfei Yu, Buyun Gao, Jiaqi Guo, Zhikui Chen, Liang Zhao |
| 2022 | KSEM | Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation. | Ruixin Ma, Guangyue Lv, Liang Zhao, Yunlong Ma, Hongyan Zhang, Xiaobin Liu |
| 2021 | CSCWD | A Deep Neural Network Approach using Convolutional Network and Long Short Term Memory for Text Sentiment Classification. | Teragawa Shoryu, Lei Wang, Ruixin Ma |
| 2021 | DASC | CP Decomposition for Fast training of Bi-LSTM. | Ruixin Ma, Chuang Wang, Xin Li |
| 2017 | CDVE | Collaboration Patterns at Scheduling in 10 Years. | Xiujuan Xu, Yu Liu, Ruixin Ma, Quan Z. Sheng |
| 2017 | Qshine | A Situation-Aware Road Emergency Navigation Mechanism Based on GPS and WSNs. | Ruixin Ma, Qirui Li, Tie Qiu, Chen Chen, Arun Kumar Sangaiah |