Enabling Clinicians to Directly Deploy Clinical Logic in a Patient Safety Dashboard. - Evan Kirshenbaum; Jaap Suermondt; Natalie M. Pageler; Chris Longhurst; Jessica Wayne; Margie Godin; Andrew Shin; Deborah Franzon (AMIA, 2012)

Context-Dependent Automatic Response Generation Using Statistical Machine Translation Techniques. - Andrew Shin; Ryohei Sasano; Hiroya Takamura; Manabu Okumura (HLT-NAACL, 2015)

Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset. - Andrew Shin; Yoshitaka Ushiku; Tatsuya Harada (BMVC, 2016)

Beyond caption to narrative: Video captioning with multiple sentences. - Andrew Shin; Katsunori Ohnishi; Tatsuya Harada (ICIP, 2016)

True-negative label selection for large-scale multi-label learning. - Atsushi Kanehira; Andrew Shin; Tatsuya Harada (ICPR, 2016)

The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question Answering (FSVQA). - Andrew Shin; Yoshitaka Ushiku; Tatsuya Harada (CoRR, 2016)

Dense Image Representation with Spatial Pyramid VLAD Coding of CNN for Locally Robust Captioning. - Andrew Shin; Masataka Yamaguchi; Katsunori Ohnishi; Tatsuya Harada (CoRR, 2016)

DualNet: Domain-invariant network for visual question answering. - Kuniaki Saito; Andrew Shin; Yoshitaka Ushiku; Tatsuya Harada (ICME, 2017)

Melody Generation for Pop Music via Word Representation of Musical Properties. - Andrew Shin; Léopold Crestel; Hiroharu Kato; Kuniaki Saito; Katsunori Ohnishi; Masataka Yamaguchi; Masahiro Nakawaki; Yoshitaka Ushiku; Tatsuya Harada (CoRR, 2017)

Customized Image Narrative Generation via Interactive Visual Question Generation and Answering. - Andrew Shin; Yoshitaka Ushiku; Tatsuya Harada (CVPR, 2018)

Reference-Based Video Colorization with Spatiotemporal Correspondence. - Naofumi Akimoto; Akio Hayakawa; Andrew Shin; Takuya Narihira (CoRR, 2020)

Transformer-Exclusive Cross-Modal Representation for Vision and Language. - Andrew Shin; Takuya Narihira (ACL/IJCNLP (Findings), 2021)

Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives. - Akio Hayakawa; Masato Ishii; Yoshiyuki Kobayashi; Akira Nakamura; Takuya Narihira; Yukio Obuchi; Andrew Shin; Takuya Yashima; Kazuki Yoshiyama (CoRR, 2021)

Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision. - Andrew Shin; Masato Ishii; Takuya Narihira (Int. J. Comput. Vis., 2022)

LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search. - Qiao Jin 001; Andrew Shin; Zhiyong Lu (SIGIR, 2023)

Cache-Efficient Approach for Index-Free Personalized PageRank. - Kohei Tsuchida; Naoki Matsumoto; Andrew Shin; Kunitake Kaneko (IEEE Access, 2023)

Minimum Steiner Tree Approximation for Extracting Unknown Information via Avoiding High-Centrality Nodes. - Rintaro Nishiyama; Andrew Shin; Naoki Matsumoto; Kunitake Kaneko (ICOIN, 2024)

The Lost Melody: Empirical Observations on Text-to-Video Generation From A Storytelling Perspective. - Andrew Shin; Yusuke Mori 001; Kunitake Kaneko (CoRR, 2024)

Large Language Models Lack Understanding of Character Composition of Words. - Andrew Shin; Kunitake Kaneko (CoRR, 2024)

A Flexible Weighting Framework For Converting Relational Database To Hypergraphs. - Kotaro Fujii; Tsuyoshi Yamashita; Andrew Shin; Kunitake Kaneko (ICOIN, 2025)

Can A Gamer Train A Mathematical Reasoning Model? - Andrew Shin (CoRR, 2025)

Large Language Models' Internal Perception of Symbolic Music. - Andrew Shin; Kunitake Kaneko (CoRR, 2025)