Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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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
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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.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Weighted Fuzzy Rough Sets-based Tri-training and Its Application to Medical Diagnosis
Published in Applied Soft Computing, 2022
In this paper, for semi-supervised learning, we propose a new framework WFRSTT, which incorporates the merits of Fuzzy Rough Sets, Tri-training, a novel noise-filtering technique bad-points, and the multi-view information. Experiment results demonstrate its effectiveness in Medical Diagnosis.
A Reinforcement Learning Framework for Application-Specific TCP Congestion-Control
Published in , 2024
This paper proposes a DRL based TCP congestion control framework, which caters to handle various objectives (maximize throughput, minimize latency, …) set by various applications.
NetSight: Graph Attention Based Network Traffic Forecasting
Published in , 2025
The paper introduces NetSight, a model that captures global-local spatial-temporal dependencies through a data-driven fusion graph, node normalization, and multi-head attention, significantly improving network traffic forecasting accuracy.
talks
Fundamental Models of Graph Neural Networks and Their Applications
Published:
In this talk, titled “The Fundamental Models of Graph Neural Networks and Their Applications,” I will introduce recent advances in GNN foundation models and discuss their practical applications across domains including network performance optimization and data-driven system intelligence.
teaching
Teaching Assistant
Data Structure and Algorithms (Undergraduate), NCSU, CS, 2023
Teaching Assistant
Computer Network (Graduate), NCSU, CS, 2024
Teaching Assistant
Senior Design (Undergraduate), NCSU, CS, 2025