Publication

SoccerNet 2026 Challenges Results

Cioppa et. al.

ACCV 2026, December 14-18, 2026, Osaka, Japan.

SAGA: Stable Acceleration Guidance for Autoregressive Video Generation

Thanh-Nhan Vo, Trong-Thuan Nguyen, Trung-Hoang Le, Tam V. Nguyen, Minh-Triet Tran

ACCV 2026, December 14-18, 2026, Osaka, Japan.

Learning Evidence Distributions for Recommendation Explanation

Hanh Tran, Uyen Nguyen, Ha-Minh-Hien Nguyen, Trung-Hoang Le, Hady W. Lauw

SIGIR-AP 2026, December 13-15, 2026, Singapore.

TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding

Thanh-Nhan Vo, Thanh-Khoi Nguyen, Trong-Thuan Nguyen, Trung-Hoang Le, Minh-Triet Tran

ICMV 2026, October 15-18, 2026, Budapest, Hungary.

Beyond Scalar Welfare: Enforcing Identity-Aware Equity in Multi-Agent Reinforcement Learning

Nhat-Hoang P. Nguyen, Duc-Thinh Pham, Trung-Hoang Le, Sameer Alam, Vu N. Duong

The 25th International Conference on Autonomous Agents and Multiagent Systems, May 2026.

Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences

Jaime Hieu Do, Trung-Hoang Le, Hady W. Lauw

ACM Transactions on Recommender Systems (TORS), Vol. 4, No. 3, Mar 2026.

Selecting Comparative Sets of Reviews Across Multiple Items

Trung-Hoang Le and Hady W. Lauw

International Conference on Extending Database Technology (EDBT'25), Mar 2025.

Learning to Rank Aspects and Opinions for Comparative Explanations

Trung-Hoang Le and Hady W. Lauw

Machine Learning, Vol. 114, No. 17, Jan 2025. Presented at ACML 2024.

Question-Attentive Review-Level for Neural Rating Regression

Trung-Hoang Le and Hady W. Lauw

ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 15, No. 6, pp. 132:1 - 132:25, Dec 2024.

Hypergraphs with Attention on Reviews for Explainable Recommendation

Theis E. Jendal, Trung-Hoang Le, Hady W. Lauw, Matteo Lissandrini, Peter Dolog and Katja Hose

European Conference on Information Retrieval (ECIR'24), Mar 2024.

Multi-Modal Recommender Systems: Towards Addressing Sparsity, Comparability, and Explainability

Trung-Hoang Le, Quoc-Tuan Truong, Aghiles Salah, and Hady W. Lauw

Tutorial at ACM Web Conference (TheWebConf'23 or WWW'23), Apr 2023.

Mining Product Textual Data for Recommendation Explanations

Trung-Hoang Le

PhD Dissertation, Singapore Management University, 2022.

Question-Attentive Review-Level Recommendation Explanation

Trung-Hoang Le and Hady W. Lauw

IEEE Conference on Big Data (BigData'22), Dec 2022.

Explainable Recommendation with Comparative Constraints on Product Aspects

Trung-Hoang Le and Hady W. Lauw

ACM International Conference on Web Search and Data Mining (WSDM'21), Mar 2021.

Synthesizing Aspect-Driven Recommendation Explanations from Reviews

Trung-Hoang Le and Hady W. Lauw

International Joint Conference on Artificial Intelligence (IJCAI'20), Jul 2020. Distinguished Paper Award