Wenwen Gong

Orcid: 0000-0003-1714-5153

According to our database1, Wenwen Gong authored at least 26 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Predicting the individual effects of team competition on college students' academic performance in mobile edge computing.
J. Cloud Comput., December, 2024

ProbeGeo: A Comprehensive Landmark Mining Framework Based on Web Content.
IEEE/ACM Trans. Netw., October, 2024

Unraveling quantum computing system architectures: An extensive survey of cutting-edge paradigms.
Inf. Softw. Technol., March, 2024

A Smart Data-Driven Multi-Level Synchronous Digital Twin Model for Vehicle-Assisted Driving.
IEEE Trans. Consumer Electron., February, 2024

Diversified and compatible web APIs recommendation based on game theory in IoT.
Digit. Commun. Networks, 2024

RecDCL: Dual Contrastive Learning for Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

2023
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.
CoRR, 2023

WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

International Workshop on Edge-Cloud Intelligence (ECI@CIKM2023).
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
LSH-aware multitype health data prediction with privacy preservation in edge environment.
World Wide Web, 2022

Efficient Web APIs Recommendation With Privacy-Preservation for Mobile App Development in Industry 4.0.
IEEE Trans. Ind. Informatics, 2022

DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Nutrient Deficiency Diagnosis of Plants Based on Transfer Learning and Lightweight Convolutional Neural Networks MobileNetV3-Large.
Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022

2021
Keywords-driven web APIs group recommendation for automatic app service creation process.
Softw. Pract. Exp., 2021

Diversity-aware Web APIs Recommendation with Compatibility Guarantee.
CoRR, 2021

Diversity-aware Web APIs Assignment and Recommendation for Mashup Creation with Compatibility Guarantee.
CoRR, 2021

Building trust/distrust relationships on signed social service network through privacy-aware link prediction process.
Appl. Soft Comput., 2021

2020
Spatial-temporal data-driven service recommendation with privacy-preservation.
Inf. Sci., 2020

Camshift tracking method based on correlation probability graph for model pig.
EURASIP J. Wirel. Commun. Netw., 2020

2019
Camshift Tracking Method Based on Correlation Probability Graph for Model Pig.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

Review of Intelligent Control Methods for Greenhouse Cluster Systems.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

2018
Privacy-Aware Multidimensional Mobile Service Quality Prediction and Recommendation in Distributed Fog Environment.
Wirel. Commun. Mob. Comput., 2018

A Trust Model for Secure and Reliable Cloud Service Systems.
Proceedings of the 4th IEEE International Conference on Big Data Security on Cloud, 2018

2017
Research on High Resolution Remote Sensing Image Classification Based on Convolution Neural Network.
Proceedings of the Computer and Computing Technologies in Agriculture XI, 2017


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