Joural Paper(s):
BM-BronchoLM - A rich bronchoscopy dataset for anatomical landmarks and lung cancer lesion recognition. Nature Scientific Data, March 2024
Thanh Hai Dang, Quynh-Trang Pham Thi, Duc-Trong Le and Tri-Thanh Nguyen. Contrastive Learning for Boosting Knowledge Transfer in Task-Incremental Continual Learning of Aspect Sentiment Classification Tasks. VNU Journal JCSCE, Jun 2024
Quynh-Trang Pham Thi, Duc-Hung Nguyen, Tri-Thanh Nguyen, Thanh-Hai Dang and Duc-Trong Le. Continual Extraction of Semantic Relations using Augmented Prototypes with Energy-based Model Alignment. VNU Journal, JCSCE (To appear)
Mai-Phuong Dinh, Duc-Trong Le, Tuan-Anh Hoang and Duy-Dung Le. Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings. ACML'24 Journal Track (Spinger Machine Learning special issue)
Cam-Van Nguyen Thi, Hai-Dang Kieu, Quang-Thuy Ha, Xuan-Hieu Phan and Duc-Trong Le*. Mi-CGA: Cross-modal Graph Attention Network for robust emotion recognition in the presence of incomplete modalities. Neurocomputing, Jan 2025 (Q1, IF=6.5) (Code, Paper)
Tuan-Duc Nguyen and Duc-Trong Le*. MODE: A model-agnostic framework for object detection under adverse weather conditions. Pattern Recognition, May 2026 (Q1, IF=7.6) (Code, Paper)
Duc-Trong Le*, Tran-Binh Dang, Anh-Duc Hoang Gia, Duc-Hai Nguyen, Minh-Hoa Tien, Xuan-Truong Ngo, Quang-Trung Luu, Quang-Lap Luu, Tai-Hung Nguyen, Thanh TN Nguyen, Chanh Kieu. From Reanalysis to Climatology: Deep Learning Reconstruction of Tropical Cyclogenesis in the Western North Pacific. Geoscientific Model Development (GMD) (Q1, IF4.9)
Minh-Anh Nguyen, Bao Nguyen, N. T. Ha Lan, Tuan-Anh Hoang, Duc-Trong Le, Dung D. Le. Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation. Springer Machine Learning, 05/2026 (SCIE Q1, IF 2.9)
Thi Lan Nguyen, Hien Quang Kha, Phat Ky Nguyen, Minh Huu Nhat Le, Duc-Trong Le, Nguyen Quoc Khanh Le. EPINTLM: enhancer–promoter prediction with pretrained k-mer embeddings and residual cross-attention. Briefings in Bioinformatics, 03/2026 (SCIE Q1, IF 7.7)
Phuong-Anh Nguyen, The-Son Le, Duc-Trong Le, Cam-Van Nguyen Thi. Leveraging Self-Paced Curriculum Learning for Enhanced Modality Balance in Multimodal Conversational Emotion Recognition. Neural Computing and Applications (Scopus Q1, IF 3.8)
Duc-Duy Duong, Cam-Van Nguyen Thi, Duc-Trong Le*. MagXCL: enhanced multimodal adaptation gate and cross-modal contrastive learning for multimodal sentiment analysis. Neural Computing and Applications (Scopus Q1, IF 3.8)
Conference Papers:
Tuan-Binh Tran, Dat Nguyen Cong, Duc-Trong Le, Thanh Trung Huynh, Tung Kieu. SCENARIODIFF: A Scenario-level Guidance Framework for Multimodal Time Series Forecasting--Extended Version. ICDM’26, November, 2026. (Rank A*)
Dinh-Chinh Nguyen, Hung-Son Nguyen, Le-Hoang Mai, Chi-Minh Nguyen, Viet-Nguyen Luong, Duc-Trong Le. A Unified Framework for Automated Proctoring under Overhead Surveillance and Imperfect Supervision. MAPR’26, August, 2026.
Van-Trung Tran, Le Sy Vinh, Duc-Trong Le. K2I-MedVQA: From LLM-based Multimodal Knowledge Graph Construction to Interpretable Medical Visual Question Answering. CITA’26, July, 2026.
Quang-Huy Nguyen, Thanh-Hai Nguyen, Khac-Manh Thai, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Masoud Mansoury, Duc-Trong Le, Hoang-Quynh Le. From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems. SIGIR’26, July, 2026 (Rank A*)
Quynh-Trang Pham Thi, Quang-Dat Mac, Thanh-Ha Nguyen, Duc-Trong Le. SO-LoRA: Sparse Orthogonal LoRA for Parameter-Efficient Continual Learning. ICME’26, July, 2026 (Rank A)
Tuan-Duc Nguyen, Duc-Trong Le. FR-DETR: Frequency and Recurrent Feature Refinement for Robust Object Detection under Adverse Weather. ICME’26, July, 2026 (Rank A)
Phuong-Anh Nguyen, Tien Anh Pham, Duc-Trong Le, Cam-Van Thi Nguyen. BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates. CVPR’26, June, 2026 (Rank A*)
Minh-Chau Le, Hoang-Quynh Le, Duc-Trong Le, Tram Truong-Huu. FedCKD: A Knowledge Distillation Approach to Cross-client Learning in Federated Learning with Label-exclusive Datasets. PAKDD’26, June, 2026 (Rank B)
Quynh-Trang Pham Thi, Xuan-Quang Trinh Viet, Xuan-Hung Ho, Tri-Thanh Nguyen and Duc-Trong Le. GMPA: Enhancing Continual Learning with Rehearsal-based Method via Gaussian Mixture Prototype Augmentation. ACIIDS’26, June, 2026 (Rank B)
Kieu-Anh Truong Thi, Huy-Hieu Pham, Duc-Trong Le. CLEAR: Causal Learning Framework For Robust Histopathology Tumor Detection Under Out-Of-Distribution Shifts. ISBI’26, April, 2026 (Rank A)
Ha-Anh Hoang Nguyen, Tri-Duc Phan Le, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Duc-Trong Le, Hoang-Quynh Le. Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction. ECIR’26, March, 2026 (Rank A)
Anh-Tuan Mai, Cam-Van Thi Nguyen and Duc-Trong Le. Divide, Refine, and Combine: Enhancing Multimodal Representations for Emotion Recognition in Conversation. WACV’26, March, 2026 (Rank A)
Dung Dao, Quy Minh Le, Hoang Thanh Lam, Duc-Trong Le, Quoc-Viet Pham, Barry O'Sullivan, Hoang D. Nguyen. Agentic Design Patterns: A System-Theoretic Framework. NeurIPS’25 LAW Workshop, December, 2025
Long-Hai Nguyen, Huy-Son Nguyen, Cam-Van Thi Nguyen, Duc-Trong Le, Atsuhiro Takasu, Hoang-Quynh Le. Dual-Enhanced Item Representation for Bundle Construction via Category-Wise and Cross-Modality Learning. SIGIR-AP’25, December, 2025
Quynh-Trang Pham Thi, Van-Truong Le, Thanh-Huyen Pham, Thanh-Nga Hoang Thi and Duc-Trong Le. DAKTA: Directional Kolmogorov-Arnold Classifier for Task Arithmetic in Continual Learning. SOICT’25, December, 2025 (Rank B)
Huu-Dung Nguyen, Tri-Dung Do, Viet Cuong Nguyen, Oanh Thi Tran and Duc-Trong Le. PRADA-QA: Product QA with Multi-Agent Planning and Dynamic Knowledge Retrieval. SOICT’25, December, 2025 (Rank B)
Hoang-Duy Vu, Kieu-Anh Truong Thi, Ngoc-Trang Hoang Thi and Duc-Trong Le. RAID: Robust Out-of-Distribution Intent Detection with Augmented and Discriminative Training. KSE’25, November, 2025
Trung-Hieu Nguyen, Minh-Khoi Le and Duc-Trong Le. Edge++: Enhanced Direction Attention via Top-k Refinement for Long-Tail Recommendation. KSE’25, November, 2025
Van-Khang Nguyen, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Hoang-Quynh Le and Duc-Trong Le. Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation. CIKM’25, Korea, November, 2025 (Rank A)
Tuan-Nghia Bui, Huy-Son Nguyen, Cam-Van Thi Nguyen, Hoang-Quynh Le and Duc-Trong Le. Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation. Emerging World Track@TheWebConference'25, Australia, May 2025
Cam-Van Thi Nguyen, The-Son Le, Anh-Tuan Mai and Duc-Trong Le. Ada2I: Enhancing Modality Balance for Multimodal Conversational Emotion Recognition. ACM MM'24, Australia, Octorber, 2024
Huy-Son Nguyen, Tuan-Nghia Bui, Hai-Long Nguyen, Manh-Hung Hoang, Cam-Van Thi Nguyen, Hoang-Quynh Le and Duc-Trong Le. Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning. ECML-PKDD'24, Lithuania, September, 2024 (To appear)
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
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
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. ACM MM'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.