Cuong Dang

About

I am actively looking for a PhD position starting from Fall 2025.

I am currently an AI research resident at FPT AI Center advised by Prof. Dung D. Le at VinUni. During my undergraduate years, I was advised by Prof. Tho Quan and also collaborated closely with Prof. Thai Le at Indiana University Bloomington.

My primary research interests span across natural language processing (NLP), reinforcement learning (RL), graph neural networks (GNN), and machine learning (ML). My long-term goals are to use ML techniques to advance the robustness, fairness, explainability, and efficiency of NLP systems (e.g. Machine Translation, Question Answering and Text Classification), Reinforcement Learning applications (e.g. Autonomous Driving, Traffic Control Systems, and Complex Social Systems), Graph Neural Network applications (e.g. Drug Discovery, Traffic Prediction, Social Network Analysis, Recommender Systems). I also hold a strong interest in problems of Generative AI, such as Hallucination, Watermarking, and Jailbreaking, etc., to ensure their safe, robust and effective utilization in real-world scenarios. My most recent research centers on i) elucidating factors affecting the robustness of NLP models, and ii) developing effective and efficient tools for forecasting the robustnes of NLP models. Click on keywords below to see papers organized by topics:

• Fair AI (FAI)
• Explainable AI (XAI)
• Generative AI (GAI)
• Robust AI (RAI)
• Efficient AI (EAI)

News

Education

Publications

Most recent publications on Google Scholar.
^* indicates equal contribution.

• Selected
• XAI
• GAI
• FAI
• RAI
• EAI

A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models

Cuong Dang,Dung D. Le,Thai Le

ACL Findings 2024

Paper Slides Poster Code

Score-based Diffusion Model for Conformer Generation

Dang Cao Cuong

International Conference on Information Technology (ICIT), 2023

Paper Poster

A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models

Cuong Dang,Dung D. Le,Thai Le

ACL Findings 2024

Paper Slides Poster Code

Score-based Diffusion Model for Conformer Generation

Dang Cao Cuong

International Conference on Information Technology (ICIT), 2023

Paper Poster

A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models

Cuong Dang,Dung D. Le,Thai Le

ACL Findings 2024

Paper Slides Poster Code

A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models

Cuong Dang,Dung D. Le,Thai Le

ACL Findings 2024

Paper Slides Poster Code

Projects

• Selected
• All

Semi-Autonomous Car

Vitæ

Full CV in PDF.

• FPT Software AI Center July 2023 - Present

  AI Research Resident
  Constructing Diffusion Language Model for Code Generation
• HCMUT Sep. 2019 - June 2023

  Undergraduate Student in Computer Science
  
• URA Research Group Mar. 2021 - July 2022

  Research Associate
  Constructing Chatbot for a Real Estate Company

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