activity
20242026
collaborators

10 papers

cs.LG2026

Where Root Cause Analysis Fails: A Retrieval-Reranking Decomposition

Hada Melino Muhammad, Luan Pham, Laure Barrière +3

Identifying the root cause of an anomaly among hundreds of sensors is critical for preventing safety incidents and costly downtime in complex monitored systems. Existing studies ev…

cs.LG2026

Target-Weighted Neyman Allocation: Experimental Design for Heterogeneous Treatment Effects under Population Shift

Hoang Dang, Luan Pham, Minh Nguyen

Randomized experiments are often run in one population to guide decisions in another. Allocating by experimental proportions wastes budget on groups that rarely appear in deploymen…

cs.CV2026

Adaptive Radial Projection on Fourier Magnitude Spectrum for Document Image Skew Estimation

Luan Pham, Phu Hao Hoang, Xuan Toan Mai +1

Skew estimation is one of the vital tasks in document processing systems, especially for scanned document images, because its performance impacts subsequent steps directly. Over th…

cs.CV2026

Facial Expression Recognition Using Residual Masking Network

Luan Pham, The Huynh Vu, Tuan Anh Tran

Automatic facial expression recognition (FER) has gained much attention due to its applications in human-computer interaction. Among the approaches to improve FER tasks, this paper…

cs.AI2026

Effect-Level Validation for Causal Discovery

Hoang Dang, Luan Pham, Minh Nguyen

Causal discovery is increasingly applied to large-scale telemetry data to estimate the effects of user-facing interventions, yet its reliability for decision-making in feedback-dri…

cs.LG2026

Graph-Free Root Cause Analysis

Luan Pham

Failures in complex systems demand rapid Root Cause Analysis (RCA) to prevent cascading damage. Existing RCA methods that operate without dependency graph typically assume that the…

cs.SE2025

Hypergraph-Guided Regex Filter Synthesis for Event-Based Anomaly Detection

Margarida Ferreira, Victor Nicolet, Luan Pham +4

We propose HyGLAD, a novel algorithm that automatically builds a set of interpretable patterns that model event data. These patterns can then be used to detect event-based anomalie…

cs.SE2024

RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data

Luan Pham, Hongyu Zhang, Huong Ha +2

Root cause analysis (RCA) for microservice systems has gained significant attention in recent years. However, there is still no standard benchmark that includes large-scale dataset…

cs.SE2024

Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?

Luan Pham, Huong Ha, Hongyu Zhang

Microservice architecture has become a popular architecture adopted by many cloud applications. However, identifying the root cause of a failure in microservice systems is still a…

cs.SE2024

BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection

Luan Pham, Huong Ha, Hongyu Zhang

Detecting failures and identifying their root causes promptly and accurately is crucial for ensuring the availability of microservice systems. A typical failure troubleshooting pip…