Cuong C. Nguyen

5 papers · 2021–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (12)

Venues

AAAI (1) ACL (1) ICLR (1) UAI (1) WACV (1)

Top co-authors

Gustavo Carneiro (5) Thanh-Toan Do (4) Cuong Pham (1) Trung Le (1) Kevin Wells (1) Anh Dung Hoang (1) David Rosewarne (1) Adrian Hilton (1) Zheng Zhang (1) Wenjie Ai (1)

Research topics

Artificial Intelligence (4) Machine Learning (3) Application Areas (2) Bayesian & Probabilistic (2) Core AI (2) Deep Learning (1) Core Methods (1) Learning Paradigms (1) Learning Types (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

probabilistic modeling (2) post-training quantization (1) embedding space (1) latent dirichlet allocation (1) noisy label learning (1) expectation maximization (1) annotator modeling (1) expert selection (1) quadratic optimization (1) variational autoencoder (1) learning to defer (1) task uncertainty (1) teacher-student learning (1) large language model (1) workload distribution (1) missing annotation (1) human-ai cooperation (1) learning to complement (1) coverage constraint (1) layer-wise sensitivity (1)

Papers

Coverage-Constrained Human-AI Cooperation with Multiple Experts AAAI 2026 Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models ACL 2026 Reciprocal Teaching: Dynamic Multi-Model Teacher-Student Learning for Multiple Noisy Annotations WACV 2026 Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution ICLR 2025 Probabilistic task modelling for meta-learning UAI 2021