Min Shi

According to our database, Min Shi authored at least 38 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RatioVLP: Ambient Light Noise Evaluation and Suppression in the Visible Light Positioning System.

Xiansheng Yang, Yuan Zhuang, Min Shi, Xiao Sun, Xiaoxiang Cao, Bingpeng Zhou

IEEE Trans. Mob. Comput., May, 2024

2023

A parallel deep learning-based code clone detection model.

Xiangping Zhang, Jianxun Liu, Min Shi

J. Parallel Distributed Comput., November, 2023

2022

Web Services Clustering via Exploring Unified Content and Structural Semantic Representation.

Guosheng Kang, Jianxun Liu, Yong Xiao, Yingcheng Cao, Buqing Cao, Min Shi

IEEE Trans. Netw. Serv. Manag., December, 2022

Web Service Network Embedding Based on Link Prediction and Convolutional Learning.

Min Shi, Yuan Zhuang, Yufei Tang, Maohua Lin, Xingquan Zhu, Jianxun Liu

IEEE Trans. Serv. Comput., 2022

Topology and Content Co-Alignment Graph Convolutional Learning.

Min Shi, Yufei Tang, Xingquan Zhu

IEEE Trans. Neural Networks Learn. Syst., 2022

Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.

Min Shi, Yufei Tang, Xingquan Zhu, Yuan Zhuang, Maohua Lin, Jianxun Liu

IEEE Trans. Cybern., 2022

Multi-Label Graph Convolutional Network Representation Learning.

Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu

IEEE Trans. Big Data, 2022

Genetic-GNN: Evolutionary architecture search for Graph Neural Networks.

Min Shi, Yufei Tang, Xingquan Zhu, Yu Huang, David A. Wilson, Yuan Zhuang, Jianxun Liu

Knowl. Based Syst., 2022

Dynamic Graph Neural Network Learning for Temporal Omics Data Prediction.

Xiaoli Jing, Yanhong Zhou, Min Shi

IEEE Access, 2022

2021

A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-Relational Service Data.

Min Shi, Jianxun Liu, Dong Zhou, Yufei Tang

IEEE Trans. Serv. Comput., 2021

Mashup tag completion with attention-based topic model.

Min Shi, Yufei Tang, Yu Huang, Maohua Lin

Serv. Oriented Comput. Appl., 2021

ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting.

Yu Huang, James Li, Min Shi, Hanqi Zhuang, Xingquan Zhu, Laurent M. Chérubin, James H. VanZwieten, Yufei Tang

CoRR, 2021

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems.

Yu Huang, Yufei Tang, Xingquan Zhu, Min Shi, Ali Muhamed Ali, Hanqi Zhuang, Laurent M. Chérubin

CoRR, 2021

Web service classification based on information gain theory and bidirectional long short-term memory with attention mechanism.

Xiangping Zhang, Jianxun Liu, Buqing Cao, Min Shi

Concurr. Comput. Pract. Exp., 2021

ALGNN: Auto-Designed Lightweight Graph Neural Network.

Rongshen Cai, Qian Tao, Yufei Tang, Min Shi

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

GAEN: Graph Attention Evolving Networks.

Min Shi, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, Jianxun Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM.

Jianzhu Huai, Yukai Lin, Yuan Zhuang, Min Shi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Word Embedding-based Web Service Representations for Classification and Clustering.

Xiangping Zhang, Jianxun Liu, Min Shi, Buqing Cao

Proceedings of the IEEE International Conference on Services Computing, 2021

2020

Topic-aware Web Service Representation Learning.

Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu

ACM Trans. Web, 2020

MLNE: Multi-Label Network Embedding.

Min Shi, Yufei Tang, Xingquan Zhu

IEEE Trans. Neural Networks Learn. Syst., 2020

Topical network embedding.

Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu, Haibo He

Data Min. Knowl. Discov., 2020

Evolutionary Architecture Search for Graph Neural Networks.

Min Shi, David A. Wilson, Xingquan Zhu, Yu Huang, Yuan Zhuang, Jianxun Liu, Yufei Tang

CoRR, 2020

Multi-Class Imbalanced Graph Convolutional Network Learning.

Min Shi, Yufei Tang, Xingquan Zhu, David A. Wilson, Jianxun Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Structure Reinforcing and Attribute Weakening Network based API Recommendation Approach for Mashup Creation.

Yong Xiao, Jianxun Liu, Guosheng Kang, Rong Hu, Buqing Cao, Yingcheng Cao, Min Shi

Proceedings of the 2020 IEEE International Conference on Web Services, 2020

2019

Functional and Contextual Attention-Based LSTM for Service Recommendation in Mashup Creation.

Min Shi, Yufei Tang, Jianxun Liu

IEEE Trans. Parallel Distributed Syst., 2019

Low-Power Centimeter-Level Localization for Indoor Mobile Robots Based on Ensemble Kalman Smoother Using Received Signal Strength.

Yuan Zhuang, Qin Wang, Min Shi, Pan Cao, Longning Qi, Jun Yang

IEEE Internet Things J., 2019

Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.

Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu

CoRR, 2019

TA-BLSTM: Tag Attention-based Bidirectional Long Short-Term Memory for Service Recommendation in Mashup Creation.

Min Shi, Yufei Tang, Jianxun Liu

Proceedings of the International Joint Conference on Neural Networks, 2019

Relationship Network Augmented Web Services Clustering.

Yingcheng Cao, Jianxun Liu, Min Shi, Buqing Cao, Xiangping Zhang, Yan Wang

Proceedings of the 2019 IEEE International Conference on Web Services, 2019

Web Services Classification with Topical Attention Based Bi-LSTM.

Yingcheng Cao, Jianxun Liu, Buqing Cao, Min Shi, Yiping Wen, Zhenlian Peng

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

Service Recommendation Based on Attentional Factorization Machine.

Yingcheng Cao, Jianxun Liu, Min Shi, Buqing Cao, Ting Chen, Yiping Wen

Proceedings of the 2019 IEEE International Conference on Services Computing, 2019

2018

A Prior Knowledge Based Approach to Improving Accuracy of Web Services Clustering.

Min Shi, Jianxun Liu, Buqing Cao, Yiping Wen, Xiangping Zhang

Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

2017

A Hybrid Approach for Automatic Mashup Tag Recommendation.

Min Shi, Jianxun Liu, Dong Zhou

J. Web Eng., 2017

WE-LDA: A Word Embeddings Augmented LDA Model for Web Services Clustering.

Min Shi, Jianxun Liu, Dong Zhou, Mingdong Tang, Buqing Cao

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

2016

A Probabilistic Topic Model for Mashup Tag Recommendation.

Min Shi, Jianxun Liu, Dong Zhou, Mingdong Tang, Fenfang Xie, Tingting Zhang

Proceedings of the IEEE International Conference on Web Services, 2016

Mashup Service Clustering Based on an Integration of Service Content and Network via Exploiting a Two-Level Topic Model.

Buqing Cao, Xiaoqing Frank Liu, Bing Li, Jianxun Liu, Mingdong Tang, Tingting Zhang, Min Shi

Proceedings of the IEEE International Conference on Web Services, 2016

Multi-relation Based Manifold Ranking Algorithm for API Recommendation.

Fenfang Xie, Jianxun Liu, Mingdong Tang, Dong Zhou, Buqing Cao, Min Shi

Proceedings of the Advances in Services Computing, 2016

Using Relational Topic Model and Factorization Machines to Recommend Web APIs for Mashup Creation.

Buqing Cao, Min Shi, Xiaoqing (Frank) Liu, Jianxun Liu, Mingdong Tang

Proceedings of the Advances in Services Computing, 2016