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Byron Choi

4 papers · 2021–2026 · 2 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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๐ŸŒ Conference Polyglot ยท Bronze ๐Ÿƒ Academic Marathon ยท Sprint ๐ŸŒ‰ Interdisciplinary Bridge ยท Bronze ๐Ÿฃ Hot Topic Early Bird

Venues

AAAI (3) IJCAI (1)

Top co-authors

Guozhong Li (2) Sourav S Bhowmick (2) Jianliang Xu (2) William K. Cheung (1) Grace Lai-Hung Wong (1) Jiming Liu (1) Kwok-Pan Chun (1) Daphne Ngar-yin Mah (1) Zhaoliang Chen (1) Grace L.H. Wong (1)

Research topics

Machine Learning (3) Core Methods (3) Data Science & Analytics (2) Deep Learning (2) Architectures (2) Methods (2) Mathematics & Optimization (1) Learning Types (1) Optimization (1)

Keywords

time series classification (2) multivariate time series (2) representation learning (1) sequence modeling (1) self-attention mechanism (1) graph representation (1) consensus learning (1) constraint satisfaction (1) multivariate analysis (1) position encoding (1) variational graph autoencoder (1) graph edit distance (1) triplet loss (1) gated network (1) transformer model (1) graph neural network (1) neural network (1) node matching (1) multi-view clustering (1) shapelet learning (1)

Papers

Gated Variational Graph Autoencoders as Experts with Competition and Consensus for Multi-view Clustering AAAI 2026 SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification AAAI 2023 Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints IJCAI 2021 ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification AAAI 2021