Qiang Hu -

Registered user since Wed 4 Jun 2025

Name:Qiang Hu

Country:China

Affiliation:Tianjin University

Contributions

2027

ICSE

Committee Member in Program Committee within the Research Track-track

2026

ASE

PC Member in Program Committee within the Research Papers-track
Author of IntOAgent: A Practical Framework for Automated Detection and Triggering of Integer Overflow Vulnerabilities within the Research Papers-track

ISSTA

Committee Member in Research papers within the Research papers-track

ICSE

Author of Unveiling the Potential of Diffusion Large Language Models in Software Engineering Tasks: An Empirical Study within the New Ideas and Emerging Results (NIER)-track
Author of Towards Automatic Software Faults Analysis within the Posters-track

2025

SE4ADS

Author of Evaluating the Robustness of Uncertainty Quantification-Based Misbehavior Predictors for Autonomous Driving Systems: A Case Study within the SE for Autonomous Driving Systems-track

APSEC

Committee Member in Program Committee within the Software Engineering in Practices (SEIP)-track

ASE

ESEC/FSE

Author of CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift within the Research Papers-track

ICSE

Author of CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph within the Industry Challenge Track-track

2024

ASE

ISSTA

Committee Member in Artifact Evaluation Committee within the Artifact Evaluation-track

Internetware

Committee Member in Program Committee within the Research Track-track

FORGE

Committee Member in Program Committee within the Research Track-track

2023

ASE

Author of MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack within the NIER Track-track

ISSTA

Committee Member in Artifact Evaluation within the Artifact Evaluation-track

ICSE

CAIN

Author of Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment within the Papers-track

2022

Mining Software Repositories

Author of GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses within the Technical Papers-track

CAIN

Author of Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models within the CAIN 2022-track

2021

ASE

Author of Towards Exploring the Limitations of Active Learning: An Empirical Study within the Research Papers-track

2020

ICSE

Author of Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty within the Technical Papers-track

2019

ASE