Quan Hung Tran

Researcher, Facebook

Joined

July 2019

Names

Quan Hung Tran

Emails

****@adobe.com (Confirmed)

****@gmail.com (Confirmed)

****@servicenow.com (Confirmed)

****@accenture.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Facebook (meta.com)

2025 – Present

Principal Researcher

Accenture (accenture.com)

2024 – 2024

Principal Researcher

ServiceNow Inc (servicenow.com)

2023 – 2024

Research Scientist

Adobe Systems (adobe.com)

2018 – 2023

PhD student

Monash University (monash.edu.au)

2015 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Ingrid Zukerman

2015 – 2018

PhD Advisor

Gholamreza Haffari

2015 – 2018

Expertise

Computer Vision

2018 – Present

NLP

2010 – Present

Machine Learning

2010 – Present

Publications

Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation
Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Phung
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
An Additive Instance-Wise Approach to Multi-class Model Interpretation
Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization
Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung
- Accepted by TMLR
- Readers: Everyone
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization
Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
An Additive Instance-Wise Approach to Multi-class Model Interpretation
Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
- Published: 26 Mar 2022, Last Modified: 26 May 2025
- DL4C 2022
- Readers: Everyone
Cycle Class Consistency with Distributional Optimal Transport and Knowledge Distillation for Unsupervised Domain Adaptation
Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Phung
- Published: 20 May 2022, Last Modified: 05 May 2023
- UAI 2022 Poster
- Readers: Everyone
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
- 29 Sept 2021 (modified: 12 Oct 2025)
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
Anh Tuan Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Phung
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone
The Context-Dependent Additive Recurrent Neural Net
Quan Hung Tran, Tuan Lai, Gholamreza Haffari, Ingrid Zukerman, Trung Bui, Hung Bui
- 2018 (modified: 16 Jul 2019)
- NAACL-HLT 2018
- Readers: Everyone

View all 13 publications

Quan Hung Tran

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors