Dr. Duc-Trong Le

Assistant Professor, Head of Computer Science Department

Welcome to visit my academic profile! My name is Le Duc Trong, currently an Assistant Professor (full-time, tenure-track) at Faculty of IT, VNU University of Engineering and Technology (VNU Univ. of Eng. and Tech.), Hanoi, Vietnam.

My research interests are web/social mining, recommender systems, multimodal learning and reliable machine learning. Besides doing research, I love playing guitar, piano as well as table tennis.

I am actively involved in research and graduate supervision. I am eligible to supervise and co-supervise MSc and PhD students in Computer Science at VNU-UET. If you are interested in PhD/MSc scholarship at VNU-UET, please drop me an email or a visit.

mail trongld [at] vnu [dot] edu [dot] vn

location_on Room 315, Building E3, 144 Xuan Thuy, Cau Giay, Hanoi, Vietnam

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Research Interests

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Reliable AI

Robustness, fairness, and explainability in machine learning frameworks.

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Multimodal Learning

Integrating text, image, and sensor data for holistic AI understanding.

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Recommendation

Personalized systems and collaborative filtering for large-scale data.

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AI4Health

Applications of AI in predictive diagnostics and health informatics.

Featured Publications

See Google Scholar for a complete list.

MODE: A model-agnostic framework for object detection under adverse weather conditions

Tuan-Duc Nguyen and Duc-Trong Le

Pattern Recognition, 05/2026, SICE Q1 (IF=7.8)

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Mi-CGA: Cross-modal Graph Attention Network for robust emotion recognition in the presence of incomplete modalities

Cam-Van Nguyen Thi, Hai-Dang Kieu, Quang-Thuy Ha, Xuan-Hieu Phan, Duc-Trong Le

Neurocomputing, 03/2025, SCIE Q1 (IF=6.5)

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BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates

Phuong-Anh Nguyen, Tien Anh Pham, Duc-Trong Le, Cam-Van Thi Nguyen

CVPR 2026

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Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation

Anh-Tuan Mai, Cam-Van Thi Nguyen, Duc-Trong Le

WACV 2026

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Conversation understanding using relational temporal graph neural networks with auxiliary cross-modality interaction

Cam-Van Thi Nguyen, Anh-Tuan Mai, The-Son Le, Hai-Dang Kieu, Duc-Trong Le

EMNLP 2023

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Modular graph transformer networks for multi-label image classification

Hoang D Nguyen, Xuan-Son Vu, Duc-Trong Le

AAAI 2021

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Teaching

Current Courses

INT3401E Artificial Intelligence

Spring 2026, Undergraduate

COM1050 Computational Thinking

Spring 2025, Undergraduate

Previous Courses

Advanced Topics for CS (Graduate) Fall 2025
Machine Learining (Undergraduate) Fall 2025
Visual Data Analytics (Undergraduate) Spring 2025

Academic Service

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Conferences

AAAI (2022-2026) IJCAI (2020-2026) ICML (2026) CVPR (2026) ECCV (2026) TheWebConf (2026) ACL Rolling (2024-2026) PAKDD (2023, 2026)

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Journals

IEEE TAFFC, IEEE TKDE
Knowledged-based Systems
ACM Computing Surveys, ACM TKDD, ACM TITS
Neurocomputing (NEUCOM)
Neural Network (NEUNET)