Yichao Dong

Orcid: 0000-0002-8654-6578

According to our database1, Yichao Dong authored at least 12 papers between 2017 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
OSSP-PTA: An Online Stochastic Stepping Policy for PTA on Reinforcement Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

Adaptive Stepping PTA for DC Analysis Based on Reinforcement Learning.
IEEE Trans. Circuits Syst. II Express Briefs, 2023

MFG-R: Chinese Text Matching with Multi-Information Fusion Graph Embedding and Residual Connections.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

2022
A cross-lingual sentence pair interaction feature capture model based on pseudo-corpus and multilingual embedding.
AI Commun., 2022

Accelerating nonlinear DC circuit simulation with reinforcement learning.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Cross-Language Plagiarism Detection Model Based On Multiple Features.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

MobiTrack: Mobile Crowdsensing-Based Object Tracking with Min-Region and Max-Utility.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

GC-UNet: An Improved UNet Model for Mangrove Segmentation Using Landsat8.
Proceedings of the BDE 2021: The 3rd International Conference on Big Data Engineering, Shanghai, China, May 29, 2021

2020
Interval Overvoltage Risk Based PV Hosting Capacity Evaluation Considering PV and Load Uncertainties.
IEEE Trans. Smart Grid, 2020

2019
An Improved Differential Evolution Algorithm for Optimal Location of Battery Swapping Stations Considering Multi-Type Electric Vehicle Scale Evolution.
IEEE Access, 2019

2018
Research on Security of Key Algorithms in Intelligent Driving System.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

2017
DACE: a scalable DP-means algorithm for clustering extremely large sequence data.
Bioinform., 2017


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