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Author

Hung-Nghiep Tran

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6 papers indexed here

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Conference Aug 2026

LLM-Augmented Hybrid Representations for Disease Category Classification from Clinical Notes

Clinical notes contain rich diagnostic evidence, but their long, noisy, and heterogeneous form makes automatic disease category classification difficult. We study a DiReCT-derived closed-set disease category classification task and propose an LLM-Augmented Hybrid Representation for lightweight clinical note classificat...

Khanh-Thao Le-Vu, Hung-Nghiep Tran · 0 citations
Conference Aug 2026

A Two-Stage Privacy-Aware SQL Anomaly Detector for Inline Database Defense

Inline database defenses require mechanisms to intercept malicious attacks and performance anomalies. Conventional lexical filters lack awareness of query execution costs, while machine learning models trained on operational logs risk exposing sensitive proprietary data. This paper presents a privacy-aware SQL anomaly...

Thanh-Tan Doan, Hung-Nghiep Tran · 0 citations
Conference Aug 2026

A Hybrid Two-Stage Framework for Twitter Bot Detection: Decoupling Graph Representation Learning and Classification

Graph-based Twitter bot detection models such as BotRGCN rely on end-to-end training that jointly optimizes graph representation learning and linear classification. This coupling creates a bottleneck: the GNN is constrained to produce linearly separable representations, and joint optimization restricts the classifier t...

Khôi Nguyên Phạm, Ngoc Thao Vy Tran, T. Nguyen et al. · 0 citations
Conference Aug 2026

Auditing Population-Level XAI Agreement with cABC: Evidence from Diabetes Risk Prediction

Auditing agreement between global explanation methods is underdeveloped in clinical XAI. Standard population-level agreement measures are poorly aligned with the practical question of interest: top-K overlap depends on an arbitrary cutoff, while rank-correlation metrics can overweight tail-order differences that are op...

V. Thieu, Hung-Nghiep Tran · 0 citations
Conference Aug 2026

Evaluating AutoEDA Without Human Raters: A Diagnostic Framework and Case Study of Structured Question Generation

Human evaluation remains the dominant way to assess automated exploratory data analysis (AutoEDA) systems, but it is expensive, subjective, and hard to reproduce. We introduce a reproducible automatic diagnostic framework that surfaces structural and statistical failures in AutoEDA—failure modes often under-emphasized...

B. N. Do, Phu-Vinh Nguyen, Hung-Nghiep Tran · 0 citations
Conference Aug 2026

Operationalization Matters: When Graph-Aware Learning Adds Value for IC-Based Influence Approximation

Approximating Monte Carlo Independent Cascade (MC-IC) influence rankings with a learned surrogate is only meaningful if the target itself is clearly defined. We study this dependency on the Twitch Gamers graph under two IC operationalizations, keeping the graph, labeled-node sample, split, Monte Carlo budget, and evalu...

Dinh-Duy Tran, Q. Pham, Q. Tran et al. · 0 citations

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