Wenjing Jiang

Orcid: 0000-0002-0956-9602

According to our database1, Wenjing Jiang authored at least 14 papers between 2021 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route.
ACM Trans. Design Autom. Electr. Syst., January, 2024

IR-Aware ECO Timing Optimization Using Reinforcement Learning.
CoRR, 2024

2023
A fast, efficient, and explicit phase-field model for 3D mesh denoising.
Appl. Math. Comput., December, 2023

A novel classification method combining phase-field and DNN.
Pattern Recognit., October, 2023

A novel MF-DFA-Phase-Field hybrid MRIs classification system.
Expert Syst. Appl., September, 2023

Distributed processing of spatiotemporal ocean data: a survey.
World Wide Web (WWW), July, 2023

3D object feature extraction and classification using 3D MF-DFA.
Comput. Vis. Image Underst., July, 2023

Self-supervised Cascade Training for Monocular Endoscopic Dense Depth Recovery.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

EEG based Parkinson Detection through Supervised Information Enhanced Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Multi-focus image fusion dataset and algorithm test in real environment.
Frontiers Neurorobotics, September, 2022

From Global Route to Detailed Route: ML for Fast and Accurate Wire Parasitics and Timing Prediction.
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

2021
Cost risk analysis for instance recommendation in a sustainable Cloud-cyber-physical system framework.
Softw. Pract. Exp., 2021

Computer-aided hospital wireless system and gynecological malignant tumor nursing intervention.
Microprocess. Microsystems, 2021

Semi-supervised Surgical Tool Detection Based on Highly Confident Pseudo Labeling and Strong Augmentation Driven Consistency.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021


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