Xinhua Suo

According to our database, Xinhua Suo authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

2024

Lifecycle Optimization of Smart Contract for Different Scenarios in 6G Network.

Hong Su, Bing Guo, Xinhua Suo, Chuanfeng Zhang

IEEE Internet Things J., July, 2024

2023

KRL_MLCCL: Multi-label classification based on contrastive learning for knowledge representation learning under open world.

Xinhua Suo, Bing Guo, Yan Shen, Yaosen Chen, Wei Wang

Inf. Process. Manag., September, 2023

KRL_Match: knowledge graph objects matching for knowledge representation learning.

Xinhua Suo, Bing Guo, Yan Shen, Shengxin Dai, Wei Wang, Yaosen Chen, Zhen Zhang

Knowl. Inf. Syst., February, 2023

Blockchain Exchange Optimization by Graph Partition and Merging in IoT Scenarios.

Hong Su, Haichuan Zhang, Bing Guo, Xinhua Suo

IEEE Internet Things J., 2023

Discrete cosine transform for filter pruning.

Yaosen Chen, Renshuang Zhou, Bing Guo, Yan Shen, Wei Wang, Xuming Wen, Xinhua Suo

Appl. Intell., 2023

2022

Capsule Boundary Network With 3D Convolutional Dynamic Routing for Temporal Action Detection.

Yaosen Chen, Bing Guo, Yan Shen, Wei Wang, Weichen Lu, Xinhua Suo

IEEE Trans. Circuits Syst. Video Technol., 2022

Cross-chain exchange by transaction dependence with conditional transaction method.

Hong Su, Bing Guo, Jun Yu Lu, Xinhua Suo

Soft Comput., 2022

Quantitative cooperation analysis among cross-chain smart contracts.

Hong Su, Bing Guo, Jun Yu Lu, Xinhua Suo

Neural Comput. Appl., 2022

Embedding Smart Contract in Blockchain Transactions to Improve Flexibility for the IoT.

Hong Su, Bing Guo, Yan Shen, Xinhua Suo

IEEE Internet Things J., 2022

Video summarization with u-shaped transformer.

Yaosen Chen, Bing Guo, Yan Shen, Renshuang Zhou, Weichen Lu, Wei Wang, Xuming Wen, Xinhua Suo

Appl. Intell., 2022

Semi-supervised Graph Convolutional Neural Network Based Classification for Auto Parts Inventory Management.

Fangpeng Weng, Bing Guo, Xinhua Suo, Xin Wu, Yuchuan Hu, Qin Zheng

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

BERT-Based Chinese NER with Lexicon and Position Enhanced Information Adapter.

Zhongwei Li, Bing Guo, Yuchuan Hu, Qin Zheng, Xinhua Suo

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

Neural labeled LDA: a topic model for semi-supervised document classification.

Wei Wang, Bing Guo, Yan Shen, Han Yang, Yaosen Chen, Xinhua Suo

Soft Comput., 2021

Using efficient group pseudo-3D network to learn spatio-temporal features.

Yaosen Chen, Bing Guo, Yan Shen, Wei Wang, Xinhua Suo, Zhen Zhang

Signal Image Video Process., 2021

Nakamoto Consensus to Accelerate Supervised Classification Algorithms for Multiparty Computing.

Zhen Zhang, Bing Guo, Yan Shen, Chengjie Li, Xinhua Suo, Hong Su

Secur. Commun. Networks, 2021

Robust supervised topic models under label noise.

Wei Wang, Bing Guo, Yan Shen, Han Yang, Yaosen Chen, Xinhua Suo

Mach. Learn., 2021

Boundary graph convolutional network for temporal action detection.

Yaosen Chen, Bing Guo, Yan Shen, Wei Wang, Weichen Lu, Xinhua Suo

Image Vis. Comput., 2021

Embodying the Number of an Entity's Relations for Knowledge Representation Learning.

Xinhua Suo, Bing Guo, Yan Shen, Wei Wang, Yaosen Chen, Zhen Zhang

Int. J. Softw. Eng. Knowl. Eng., 2021

2020

Twin labeled LDA: a supervised topic model for document classification.

Wei Wang, Bing Guo, Yan Shen, Han Yang, Yaosen Chen, Xinhua Suo

Appl. Intell., 2020