Development of VR visualization system including deep learning architecture for improving teleoperability. - Kyunghwan Cho; Kwang-Eun Ko; Heereen Shim; Inhoon Jang (URAI, 2017)

Development of Automatic Virtual Guidance Visualization System for Teleoperation Using Object Detection. - Kyunghwan Cho; Kwang-Eun Ko; Heereen Shim; Inhoon Jang (UR, 2018)

Multi-tasking deep convolutional network architecture design for extracting nonverbal communicative information from a face. - Heereen Shim; Kyunghwan Cho; Kwang-Eun Ko; In-Hoon Jang; Kwee-Bo Sim (Cogn. Syst. Res., 2018)

Intelligent Analyses on Storytelling for Impact Measurement. - Koen Kicken; Tessa De Maesschalck; Bart Vanrumste; Tom De Keyser; Heereen Shim (W-NUT@EMNLP, 2020)

Data augmentation and semi-supervised learning for deep neural networks-based text classifier. - Heereen Shim; Stijn Luca; Dietwig Lowet; Bart Vanrumste (SAC, 2020)

Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text. - Heereen Shim; Dietwig Lowet; Stijn Luca; Bart Vanrumste (W-NUT, 2021)

Development of Conversational AI for Sleep Coaching Programme. - Heereen Shim (EACL (Student Research Workshop), 2021)

LETS: A Label-Efficient Training Scheme for Aspect-Based Sentiment Analysis by Using a Pre-Trained Language Model. - Heereen Shim; Dietwig Lowet; Stijn Luca; Bart Vanrumste (IEEE Access, 2021)

Data-Efficient Algorithms and Neural Natural Language Processing: Applications in the Healthcare Domain. - Heereen Shim (IJCAI, 2022)

Multilingual context-based pronunciation learning for Text-to-Speech. - Giulia Comini; Manuel Sam Ribeiro; Fan Yang; Heereen Shim; Jaime Lorenzo-Trueba (INTERSPEECH, 2023)

Lightweight neural front-ends for low-resource on-device Text-to-Speech. - Giulia Comini; Heereen Shim; Manuel Sam Ribeiro (ICASSP, 2025)