TRONG Le

Email: trongld [at] vnu [dot] edu [dot] vn

Head of Computer Science Department

Room 315, E3 Building, UET-VNU, 144 Xuan Thuy, Cau Giay, Hanoi

Hi, my name is Le Duc Trong. I am Lecturer (a.k.a. Assistant Professor) at University of Engineering and Technology, Vietnam National University, Hanoi. I am also a member of Reliable Machine Learning group. In 2019, I obtained PhD from Singapore Management Univeristy under the supervision of Associate Professor Hady W. Lauw and Assistant Professor Yuan Fang. Ealier on, I received my Bachelor in Information Technology from University of Engineering and Technology, VNU Hanoi in 2011.

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.

Checkout my CV (Oct 2023)

Recent News:

Jan 2, 2025: Paper accepted at Neurocomputing (ISI Q1, IF=5.5), "Mi-CGA: Cross-modal Graph Attention Network for robust emotion recognition in the presence of incomplete modalities"
September 8, 2024: Paper accepted at ACML'2024 journal track (Springer Machine Learning special issue), "Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings"
July 16, 2024: Paper accepted at ACM MM'24, "Ada2I: Enhancing Modality Balance for Multimodal Conversational Emotion Recognition"
May 27, 2024: Paper accepted at ECML-PKDD'24, "Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning"
March 5, 2024: A journal paper accepted at Nature Scientific Data, "BM-BronchoLM - A rich bronchoscopy dataset for anatomical landmarks and lung cancer lesion recognition", special collection on "Medical imaging data for digital diagnostics"
March 3, 2024: Paper accepted at ACIIDS'24, "Towards Robust Continual Learning: A Multi-Head Approach with Online Prototype Equilibrium and Adaptive Prototypical Feedback",
February 20, 2024: Paper accepted at COLING-LREC'24, "Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition",
Octorber 19, 2023: Invited as Co-session Chair (6B - Computer Vision II) at KSE 2023
Octorber 8, 2023, Paper accepted at EMNLP'23, "Converstation Understanding using Relational Temporal Graph Neural Networks with Auxilary Cross-Modality Interaction",
September 8, 2023, Paper accepted at PACLIC'23, titled "Self-MI; Efficient Multimodal Fusion via Self-Supervised Multi-task Learning with Auxilary Mutual Information Maximization",
May 30, 2023, Paper accepted at ACIIDS'23, titled "Mitigating Catastrophic Forgetting in Neural Machine Translation through Teacher-Student Distillation with Attention Mechanism",
May 07, 2023, Paper accpeted at KES'23, titled "Reliable Sound Re-labeling Approach for Bird Sound Classification",
May 07, 2023, Paper accepted at KES'23, titled "Multimodal Machine Learning for Mental Disorder Detection: A Scoping Review"
July 13, 2022, Paper accepted at ACIIDS'22, titled "v3MFND: A Deep Multi-domain Multimodal Fake News Detection Model for Vietnamese",
May 27, 2022: Appointed as deputy head of CS Department, VNU-UET FIT
November 11, 2021: Session Chair (S2-D2R3A) at KSE 2021
September 12, 20201, Paper accepted at KSE'21, titled "Modeling Multi-Intent Basket Sequences for Next-Basket Recommendation",
August 21, 2021: Invited as PC member for PAKDD'22
August 11, 2021: Invited as PC member for AAAI'22
July 09, 2021: Invited as PC member for IJCAI-ECAI'22
May 08, 2021: Give a talk @ VJAI & Pionero #1: Doing AI in Academia vs Industry
December 2, 2020: Paper accepted at AAAI'21, titled "Modular Graph Transformer Networks for Multi-Label Image Classification",
Octorber 25, 2020: Session Chair (Poster-P2B) at PACLIC 2020
September 30, 2020: Paper accepted at COLING'20, titled "Multimodal Review Generation with Privacy and Fairness Awareness",
August 26, 2020: Invited as PC member for IJCAI'21
August 20, 2020: Invited as PC member for PAKDD'21
July 27, 2020: Paper accepted at ACMMM'20, titled "Privacy-Preserving Visual Content Tagging using Graph Transformer Networks".
July 30, 2019: Graduated from SMU PhD officialy
May 10, 2019: Paper accepted at IJCAI'19, titled "Correlation-Sensitive Next-Basket Recommendation".
June 25, 2018: Pass the "Effective Communication Skills for Graduate Instructors" assessment to be a GI in Term 1 AY18-19.
April 17, 2018: Paper accepted at IJCAI'18, titled "Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation".
June 8, 2017: Received the IJCAI Student Travel Award to attend the IJCAI 2017 conference in Melbourne, Australia
April 23, 2017: The paper titled "Basket-Sensitive Personalized Item Recommendation" has been accepted at IJCAI 2017
Sep 19, 2016 – Sep 23, 2016: Participated the ECMLPKDD 2016 conference in Riva del Garda, Italy
June 20, 2016: The paper titled "Modeling Sequential Preferences with Dynamic User and Context Factors" has been accepted at ECMLPKDD 2016

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