Publications

Publications:

Joural Paper(s):

• BM-BronchoLM - A rich bronchoscopy dataset for anatomical landmarks and lung cancer lesion recognition. Nature Scientific Data, 2024 (accepted)

Conference Papers:

• Quynh-Trang Pham Thi, Duc-Hung Nguyen, Thanh-Hai Dang, Duc-Trong Le, Tri-Thanh Nguyen and Quang-Thuy Ha. Towards Robust Continual Learning: A Multi-Head Approach with Online Prototype Equilibrium and Adaptive Prototypical Feedback. ACIIDS'24, Ras Al Khaimah, UAE, April, 2024

• Cam-Van Thi Nguyen, Cao-Bach Nguyen, Quang-Thuy Ha and Duc-Trong Le. Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition (Short). LREC-COLING'24, Torino Italy, May, 2024

• Kieu Anh Truong Thi, Truong-Thuy Tran, Cam-Van Thi Nguyen and Duc-Trong Le. Enhancing Visual Question Answering with Generated Image Caption. CSONET'23, Hanoi, December, 2023.

• Nguyen Van Doan, Trong Duc Nguyen, Dat Tran Nguyen, Cam-Van Thi Nguyen, Hai-Dang Kieu, Duc-Trong Le. GAT-FP: Addressing Imperfect Multimodal Learning using Graph Attention Networks and Feature Propagation. SoICT'23, HCM City, December, 2023.

• Cam-Van Thi Nguyen, Anh-Tuan Mai, The-Son Le, Hai-Dang Kieu and Duc-Trong Le. Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction. EMNLP'23 (Main Track), Singapore, December, 2023.

• Cam-Van Thi Nguyen, Ngoc-Hoa Thi Nguyen, Duc-Trong Le and Quang-Thuy Ha. Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization. PACLIC 37, Hongkong, December, 2023.

• Truong Hoang, Nghia NVN, Alex To, Duc-Trong Le and Hoang D. Nguyen. Reliable Sound Re-labeling Approach for Bird Sound Classification". KES'23, Athens, Greece, September, 2023. 

• Thuy Trinh Nguyen, Viet Hoang-Quoc Pham, Duc-Trong Le, Xuan-Son Vu, Fani Deligianni, Hoang D Nguyen. Multimodal Machine Learning for Mental Disorder Detection: A Scoping Review. KES'23, Athens, Greece, September, 2023. 

• Quynh-Trang Pham Thi, Ngoc-Huyen Ngo, Anh-Duc Nguyen, Duc-Trong Le, Tri-Thanh Nguyen and Quang-Thuy Ha. Mitigating Catastrophic Forgetting in Neural Machine Translation Through Teacher-Student Distillation with Attention Mechanism. ACIIDS'23, Phuket, Thailand, July, 2023

• Cam-Van Nguyen Thi, Thanh-Toan Vuong, Quang-Thuy Ha and Duc-Trong Le. v3MFND: A Deep Multi-domain Multimodal Fake News Detection Model for Vietnamese. ACIIDS'22, November, 2022

• Quoc-Viet Pham Hoang, and Duc-Trong Le. Modeling Multi-Intent Basket Sequences for Next-Basket Recommedation. KSE'21, November, 2021

• Harry Nguyen, Xuan-Son Vu and Duc-Trong Le. Modular Graph Transformer Networks for Multi-Label Image Classification. AAAI'21, February, 2021

• Xuan-Son Vu, Thanh-Son Nguyen, Duc-Trong Le and Lili Jiang. Multimodal Review Generation with Privacy and Fairness Awareness. COLING'20, December 2020, Barcelona, Spain (To appear)

• Xuan-Son Vu,  Duc-Trong Le, Christoffer Edlund, Lili Jiang and Harry Nguyen. Privacy-Preserving Visual Content Tagging using Graph Transformer Networks. ACMMM'20, October 2020, Seattle, United States

• Duc-Trong Le, Hady W.Lauw, Yuan Fang. Correlation-Sensitive Next-Basket Recommendation. IJCAI'19, August 2019, Macau, China

• Duc-Trong Le, Hady W.Lauw, Yuan Fang. Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation. IJCAI'18, July 2018, Stockholm, Sweden

• Duc-Trong Le, Hady W. Lauw, Yuan Fang. Basket-sensitive Personalized Item Recommendation. IJCAI'17, August 2017, Melbourne, Australia.

• Duc-Trong Le, Yuan Fang, and Hady W. Lauw. Modeling Sequential Preferences with Dynamic User and Context Factors. ECMLPKDD'16, Sep 2016, Rivar Del Garda, Italy.