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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
Comparative Analysis of Pooling Mechanisms in LLMs: A Sentiment Analysis Perspective
Published in ISMSI 2025, 2025
Comparative Analysis of Pooling Mechanisms in LLMs: A Sentiment Analysis Perspective.
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling
Published in ICMSSP 2025, 2025
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling.
FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders
Published in ECCS 2025, 2025
FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders.
Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning
Published in IWPR 2025, 2025
Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning.
Network Traffic Forecasting via Fuzzy Spatial-Temporal Fusion Graph Neural Networks
Published in ISCMI 2024, 2024
Network Traffic Forecasting via Fuzzy Spatial-Temporal Fusion Graph Neural Networks.
Parameterized maximum-entropy-based three-way approximate attribute reduction
Published in International Journal of Approximate Reasoning, 2022
Parameterized maximum-entropy-based three-way approximate attribute reduction.
RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations
Published in ICCE 2026, 2026
RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations.
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining
Published in CSPA 2025, 2025
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining.
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
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.
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.
NetSight: Graph Attention Based Network Traffic Forecasting
Published in ICDCS 2026, Under Review, 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.
A Reinforcement Learning Framework for Application-Specific TCP Congestion-Control
Published in IPCCC 2025, 2025
This paper proposes a DRL based TCP congestion control framework, which caters to handle various objectives (maximize throughput, minimize latency, …) set by various applications.
CO-EVOLVE: Bidirectional Co-Evolution of Graph Structure and Semantics for Heterophilous Learning
Published in Working Paper, 2026
Existing LLM-GNN integration relies on static, unidirectional pipelines, causing bidirectional error propagation. We introduce a Dual-View Co-Evolution mechanism where the GNN injects topological context to guide the LLM, and the LLM constructs a dynamic semantic graph.
Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services
Published in ICML 2026, Under Review, 2026
Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services.
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