Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
An Enhanced GAN for Image Generation
Published in Computers, Materials & Continua, 2024
This paper introduces EIGGAN, a novel GAN model designed to improve image generation with spatial attention and parallel residual operations.
Recommended citation: Tian, C., Gao, H., Wang, P., Zhang, B. (2024). "An Enhanced GAN for Image Generation." Computers, Materials & Continua. 80(1).
Download Paper | Download Slides
Beyond Gait: Seamless Knee Angle Prediction for Lower Limb Prosthesis in Multiple Scenarios
Published in IEEE Robotics and Automation Letters, 2024
This paper presents a novel method for predicting knee angle in a wide range of activities beyond walking, for better prosthesis design.
Recommended citation: Wang, P., Chen, Y., Su, W., Wang, J., Ma, T., Yu, H. (2024). "Beyond Gait: Seamless Knee Angle Prediction for Lower Limb Prosthesis in Multiple Scenarios." IEEE Robotics and Automation Letters. 1(1).
Download Paper | Download Slides
Token Communication-Driven Multimodal Large Models in Resource-Constrained Multiuser Networks
Published in arXiv, 2025
This paper explores a new token communication paradigm for deploying multimodal large models in resource-constrained networks.
Recommended citation: Zhang, J., Ni, W., Wang, P., Wang, D. (2025). "Token Communication-Driven Multimodal Large Models in Resource-Constrained Multiuser Networks." arXiv. 2505.07841.
Download Paper | Download Slides