Publications

NetSight: Graph Attention Based Network Traffic Forecasting

Published in SIGIR 2025, 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 WoWMoM 2025, Under Review, 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.

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.

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