Performance analysis of CNN frameworks for GPUs. - Heehoon Kim; Hyoungwook Nam; Wookeun Jung; Jaejin Lee (ISPASS, 2017)

Number Sequence Prediction Problems and Computational Powers of Neural Network Models. - Hyoungwook Nam; Segwang Kim; Kyomin Jung (CoRR, 2018)

Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks. - Hyoungwook Nam; Segwang Kim; Kyomin Jung (AAAI, 2019)

I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths. - Hyoungwook Nam; Seung Byum Seo; Vikram Sharma Mailthody; Noor Michael; Lan Li (CoRR, 2020)

Neural Sequence-to-grid Module for Learning Symbolic Rules. - Segwang Kim; Hyoungwook Nam; Joonyoung Kim; Kyomin Jung (AAAI, 2021)

MM-GATBT: Enriching Multimodal Representation Using Graph Attention Network. - Seung Byum Seo; Hyoungwook Nam; Payam Delgosha (NAACL-HLT (Student Research Workshop), 2022)

Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation. - Hyoungwook Nam; Raghavendra Pradyumna Pothukuchi; Bo Li 026; Nam Sung Kim; Josep Torrellas (CoRR, 2023)

Neural Attention Memory. - Hyoungwook Nam; Seung Byum Seo (CoRR, 2023)

FriendlyFoe: Adversarial Machine Learning as a Practical Architectural Defense against Side Channel Attacks. - Hyoungwook Nam; Raghavendra Pradyumna Pothukuchi; Bo Li 026; Nam Sung Kim; Josep Torrellas (PACT, 2024)

MeshSlice: Efficient 2D Tensor Parallelism for Distributed DNN Training. - Hyoungwook Nam; Gerasimos Gerogiannis; Josep Torrellas (ISCA, 2025)