Jing He

According to our database, Jing He authored at least 16 papers between 2015 and 2025.

Collaborative distances:

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

2025

Pseudo-label attention-based multiple instance learning for whole slide image classification.

Jing He, Ping Wang, Jingwen Cai, Dan Tang, Shaowen Yao, Renyang Liu

Eng. Appl. Artif. Intell., 2025

2024

Can LSH (locality-sensitive hashing) be replaced by neural network?

Renyang Liu, Jun Zhao, Xing Chu, Yu Liang, Wei Zhou, Jing He

Soft Comput., January, 2024

Self-filtering Residual Attention Network Based on Multipair Information Fusion for Session-Based Recommendations.

Jing He, Zhen Zhang, Yuanhui Xiao, Mian Wang

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Spatial-Temporal Data Imputation Model of Traffic Passenger Flow Based on Grid Division.

Li Cai, Cong Sha, Jing He, Shaowen Yao

ISPRS Int. J. Geo Inf., January, 2023

2022

DACA: Distributed adaptive grid decision graph based clustering algorithm.

Jing He, Jun Zhou, Haoyu Wang, Li Cai

Softw. Pract. Exp., 2022

Correction to: Research on multi-source POI data fusion based on ontology and clustering algorithms.

Li Cai, Longhao Zhu, Fang Jiang, Yihan Zhang, Jing He

Appl. Intell., 2022

Research on multi-source POI data fusion based on ontology and clustering algorithms.

Li Cai, Longhao Zhu, Fang Jiang, Yihan Zhang, Jing He

Appl. Intell., 2022

Multi-pipeline HotStuff: A High Performance Consensus for Permissioned Blockchain.

Taining Cheng, Wei Zhou, Shaowen Yao, Libo Feng, Jing He

Proceedings of the IEEE International Conference on Trust, 2022

2021

DLB: Deep Learning Based Load Balancing.

Xiao-ke Zhu, Qi Zhang, Taining Cheng, Ling Liu, Wei Zhou, Jing He

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2019

DLB: Deep Learning Based Load Balancing.

Xiao-ke Zhu, Qi Zhang, Ling Liu, Taining Cheng, Shaowen Yao, Wei Zhou, Jing He

CoRR, 2019

2018

数据质量的历史沿革和发展趋势 (History and Development Tendency of Data Quality).

Li Cai, Yu Liang, Yangyong Zhu, Jing He

计算机科学, 2018

The Advance of Support Tensor Machine.

Yi Xiang, Qian Jiang, Jing He, Xin Jin, Liwen Wu, Shaowen Yao

Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018

CW-kNN: an efficient kNN-based model for imbalanced dataset classification.

Yi Xiang, ZhongFeng Cao, Shaowen Yao, Jing He

Proceedings of the 4th International Conference on Communication and Information Processing, 2018

2017

PVBSSS: parallel validation-based shared-state scheduler.

Libo He, Wei Zhou, Jing He, Shaowen Yao

Int. J. Web Eng. Technol., 2017

2016

Dynamic multidimensional index for large-scale cloud data.

Jing He, Yue Wu, Yunyun Dong, Yunchun Zhang, Wei Zhou

J. Cloud Comput., 2016

2015

The skip-octree: a dynamic cloud storage index framework for multidimensional big data systems.

Yunyun Dong, Jing He, Shaowen Yao, Wei Zhou

Int. J. Web Eng. Technol., 2015