Current Members
Hieu Nong Minh, PhD Student (AISG scholar).
Key Publications:
Nong Minh Hieu and Antoine Ledent. "Generalization Bounds for Neural Networks with Sparse Connectivity", NeurIPS 2026.
Nong Minh Hieu and Antoine Ledent. "A Refined Generalization Analysis for Extreme Multi-class Supervised Contrastive Representation Learning", ICML 2026.
Nong Minh Hieu and Antoine Ledent. "Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings", ICML 2025.
Nong Minh Hieu, Antoine Ledent, Yunwen Lei and Cheng Yeaw Ku, "Generalization Analysis for Deep Contrastive Representation Learning", AAAI 2025.
Dilan Dinushka, PhD Student.
Key Publications:
Dilan Dinushka, Antoine Ledent and Hady Lauw. "CLASP: Collaborative Latent Alignment from Semantic Preference Descriptions for Natural Language Based Recommendation", EMNLP 2026.
Former Members
Petr Kasalický, Visiting Research Scholar (2023).
Relevant Publications:
Petr Kasalický, Antoine Ledent and Rodrigo Alves. "Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks", RecSys LBR 2023 (late breaking results).
Antoine Ledent, Petr Kasalický, Rodrigo Alves and Hady Lauw. "Conv4Rec: A 1-by-1 Convolutional Autoencoder for User Profiling Through Joint Analysis of Implicit and Explicit Feedback", TNNLS 2025.
Mun Chong Soo, Research Engineer (2023).
Relevant Publications:
Antoine Ledent, Mun Chong Soo and Hieu Nong Minh. "Generalization bounds for semi-supervised matrix completion with distributional side information", AAAI 2026 (Oral).
Jennifer Poernomo, undergraduate student researcher (2023-2024).
Relevant Publications:
Jennifer Poernomo, Nicole Gabrielle Lee Tan, Rodrigo Alves, and Antoine Ledent. "Probabilistic Modeling, Learnability and Uncertainty Estimation for Interaction Prediction in Movie Rating Datasets", Recsys LBR 2025 (late breaking results).