| Multi-Class Imbalanced Graph Convolutional Network Learning M Shi, Y Tang, X Zhu, D Wilson, J Liu International Joint Conference on Artificial Intelligence (IJCAI-20), 2020 | 163 | 2020 |
| WE-LDA: a word embeddings augmented LDA model for web services clustering M Shi, J Liu, D Zhou, M Tang, B Cao 2017 ieee international conference on web services (icws), 9-16, 2017 | 120 | 2017 |
| Functional and Contextual Attention-based LSTM for Service Recommendation in Mashup Creation M Shi, Y Tang, J Liu IEEE Transactions on Parallel and Distributed Systems, 2018 | 84 | 2018 |
| Genetic-gnn: Evolutionary architecture search for graph neural networks M Shi, Y Tang, X Zhu, Y Huang, D Wilson, Y Zhuang, J Liu Knowledge-based systems 247, 108752, 2022 | 77 | 2022 |
| Mashup service clustering based on an integration of service content and network via exploiting a two-level topic model B Cao, X Liu, B Li, J Liu, M Tang, T Zhang, M Shi 2016 ieee international conference on web services (icws), 212-219, 2016 | 65 | 2016 |
| Low-power centimeter-level localization for indoor mobile robots based on ensemble Kalman smoother using received signal strength Y Zhuang, Q Wang, M Shi, P Cao, L Qi, J Yang IEEE Internet of Things Journal 6 (4), 6513-6522, 2019 | 63 | 2019 |
| Web services classification with topical attention based Bi-LSTM Y Cao, J Liu, B Cao, M Shi, Y Wen, Z Peng Collaborative Computing: Networking, Applications and Worksharing: 15th EAI …, 2019 | 44 | 2019 |
| A Probabilistic Topic Model for Mashup Tag Recommendation M Shi, J Liu, D Zhou, M Tang, F Xie, T Zhang Web Services (ICWS), 2016 IEEE International Conference on, 444-451, 2016 | 39 | 2016 |
| Service recommendation based on attentional factorization machine Y Cao, J Liu, M Shi, B Cao, T Chen, Y Wen 2019 IEEE international conference on services computing (SCC), 189-196, 2019 | 37 | 2019 |
| Multi-Label Graph Convolutional Network Representation Learning M Shi, Y Tang, X Zhu, J Liu IEEE Transactions on Big Data (TBD), 2020 | 34 | 2020 |
| MLNE: Multi-Label Network Embedding M Shi, Y Tang, X Zhu IEEE Transactions on Neural Networks and Learning Systems, 1-14, 2019 | 33 | 2019 |
| A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-relational Service Data M Shi, J Liu, D Zhou, Y Tang IEEE Transactions on Services Computing, 2018 | 32 | 2018 |
| DeepWiPos: A Deep learning-based Wireless Positioning Algorithm to Address Fingerprint Instability X Yang, Y Zhuang, F Gu, M Shi, X Cao, Y Li, B Zhou, L Chen IEEE Transactions on Vehicular Technology, 2023 | 30* | 2023 |
| GAEN: Graph Attention Evolving Networks M Shi, Y Huang, X Zhu, Y Tang, Y Zhuang, J Liu International Joint Conference on Artificial Intelligence (IJCAI-21), 2021 | 29 | 2021 |
| Tightly coupled integration of pedestrian dead reckoning and Bluetooth based on filter and optimizer X Wang, Y Zhuang, Z Zhang, X Cao, F Qin, X Yang, X Sun, M Shi, Z Wang IEEE Internet of Things Journal 10 (8), 7327-7342, 2022 | 28 | 2022 |
| Web Services Clustering via Exploring Unified Content and Structural Semantic Representation G Kang, J Liu, Y Xiao, Y Cao, B Cao, M Shi IEEE Transactions on Network and Service Management, 2022 | 27 | 2022 |
| FairCLIP: Harnessing Fairness in Vision-and-Language Learning Y Luo*, M Shi*, MO Khan*, MM Afzal, H Huang, S Yuan, Y Tian, L Song, ... CVPR'24, 2024 | 26 | 2024 |
| Feature-attention graph convolutional networks for noise resilient learning M Shi, Y Tang, X Zhu, J Liu IEEE Transactions on Cybernetics, 2022 | 25 | 2022 |
| TA-BLSTM: Tag Attention-based Bidirectional Long Short-Term Memory for Service Recommendation in Mashup Creation M Shi, Y Tang, J Liu 2019 International Joint Conference on Neural Networks (IJCNN), 557, 2019 | 24 | 2019 |
| A Prior Knowledge Based Approach to Improving Accuracy of Web Services Clustering M Shi, J Liu, B Cao, Y Wen, X Zhang IEEE International Conference on Services Computing (SCC), 1-8, 2018 | 24 | 2018 |
Jianxun LiuProfessor of Computer Science, Hunan University of science and Technologyยืนยันอีเมลแล้วที่ hnust.edu.cn