Deep Neural Networks and End-to-End Learning for Audio Compression. - Daniela N. Rim; Inseon Jang; Heeyoul Choi (CoRR, 2021)

Adversarial Training with Contrastive Learning in NLP. - Daniela N. Rim; DongNyeong Heo; Heeyoul Choi (CoRR, 2021)

Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda. - Richard Kimera; Daniela N. Rim; Joseph Kirabira; Ubong Godwin Udomah; Heeyoul Choi (ICTC, 2023)

Fine-Tuning BERT on Twitter and Reddit Data in Luganda and English. - Richard Kimera; Daniela N. Rim; Heeyoul Choi (NLPIR, 2023)

Building a Parallel Corpus and Training Translation Models Between Luganda and English. - Richard Kimera; Daniela N. Rim; Heeyoul Choi (CoRR, 2023)

Fast Training of NMT Model with Data Sorting. - Daniela N. Rim; Richard Kimera; Heeyoul Choi (CoRR, 2023)

Data Augmentation With Back translation for Low Resource languages: A case of English and Luganda. - Richard Kimera; DongNyeong Heo; Daniela N. Rim; Heeyoul Choi (NLPIR, 2024)

Convolutional Lie Operator for Sentence Classification. - Daniela Noemi Rim; Heeyoul Choi (NLPIR, 2024)

Anomaly detection based on system text logs of virtual network functions. - Daniela N. Rim; DongNyeong Heo; Chungjun Lee; Sukhyun Nam; Jae-Hyoung Yoo; James Won-Ki Hong; Heeyoul Choi (Big Data Res., 2024)

Empirical Study of Symmetrical Reasoning in Conversational Chatbots. - Daniela N. Rim; Heeyoul Choi (CoRR, 2024)

N-gram Prediction and Word Difference Representations for Language Modeling. - DongNyeong Heo; Daniela Noemi Rim; Heeyoul Choi (CoRR, 2024)

Dynamic Preference Multi-Objective Reinforcement Learning for Internet Network Management. - DongNyeong Heo; Daniela Noemi Rim; Heeyoul Choi (CoRR, 2025)