Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services
Published in ICML, 2026
Publications
Selected papers are shown below. Refer to Google Scholar for more details.
NetSight: Joint Spatio-Temporal Dependency Modeling for Network Traffic Prediction
Published in CIKM, 2026
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.
When Text and Topology Disagree: Bidirectional GNN–LLM Co-Evolution for Noisy Graph Learning
Published in Under Review ICDM, 2026
A Reinforcement Learning Framework for Application-Specific TCP Congestion-Control
Published in IPCCC, 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.
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.