Tri Nguyen

5 papers · 2023–2026 · 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 🗺️ Taxonomy Completionist (10) 🏆 Grand Slam

Venues

AAAI (1) ICLR (1) ICML (1) NeurIPS (1) WACV (1)

Top co-authors

Xiao Fu (3) Shahana Ibrahim (3) Shao-Yen Tseng (1) Dung Nguyen (1) Ngan Le (1) Hau Lam (1) Jennifer Fowler (1) Musashi Hinck (1) Phong Nguyen (1) Matthew Lyle Olson (1)

Research topics

Machine Learning (4) Core Methods (4) Learning Types · Machine Learning (3) Deep Learning (2) Optimization & Theory (2) Artificial Intelligence (1) Architectures (1) Core AI (1) Learning Types · Deep Learning (1)

Keywords

matrix factorization (1) noisy label learning (1) weakly supervised learning (1) deep clustering (1) deep learning (1) outlier detection (1) label noise (1) constrained clustering (1) strategic reasoning (1) pairwise similarity (1) confusion matrix (1) language model (1) noisy annotation (1) encoder-decoder architecture (1) crowdsourced label (1) deception detection (1) geometric regularization (1) data membership (1) deformable transformer (1) embryo classification (1)

Papers

LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models AAAI 2026 Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom NeurIPS 2024 Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach ICML 2023 Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization ICLR 2023 EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification WACV 2023