Hyungjun Yoon

According to our database, Hyungjun Yoon authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

From Vision to Motion: Translating Large-Scale Knowledge for Data-Scarce IMU Applications.

Hyungjun Yoon, Hyeongheon Cha, Hoang C. Nguyen, Taesik Gong, Sung-Ju Lee

IEEE Trans. Mob. Comput., September, 2025

SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay.

Hyungjun Yoon, Jae Hyun Kwak, Biniyam Aschalew Tolera, Gaole Dai, Mo Li, Taesik Gong, Kimin Lee, Sung-Ju Lee

Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

"I know my data doesn't leave my phone, but still feel like being wiretapped": Understanding (Mis)Perceptions of On-Device AI Vishing Detection Apps.

Subin Park, Hyungjun Yoon, Janu Kim, Hyoungshick Kim, Sung-Ju Lee

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

ContrastSense: Domain-invariant Contrastive Learning for In-the-Wild Wearable Sensing.

Gaole Dai, Huatao Xu, Hyungjun Yoon, Mo Li, Rui Tan, Sung-Ju Lee

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., November, 2024

Recover as It is Designed to Be: Recovering from Compatibility Mobile App Crashes by Reusing User Flows.

Donghwi Kim, Hyungjun Yoon, Chang Min Park, Sujin Han, Youngjin Kwon, Steven Y. Ko, Sung-Ju Lee

CoRR, 2024

ADAPT^2: Adapting Pre-Trained Sensing Models to End-Users via Self-Supervision Replay.

Hyungjun Yoon, Jae Hyun Kwak, Biniyam Aschalew Tolera, Gaole Dai, Mo Li, Taesik Gong, Kimin Lee, Sung-Ju Lee

CoRR, 2024

Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation.

Chung Park, Taesan Kim, Hyungjun Yoon, Junui Hong, Yelim Yu, Mincheol Cho, Minsung Choi, Jaegul Choo

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting.

Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong, Kimin Lee, Sung-Ju Lee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning.

Jaemin Shin, Hyungjun Yoon, Seungjoo Lee, Sungjoon Park, Yunxin Liu, Jinho D. Choi, Sung-Ju Lee

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation.

Chung Park, Taesan Kim, Taekyoon Choi, Junui Hong, Yelim Yu, Mincheol Cho, Kyunam Lee, Sungil Ryu, Hyungjun Yoon, Minsung Choi, Jaegul Choo

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

IMG2IMU: Applying Knowledge from Large-Scale Images to IMU Applications via Contrastive Learning.

Hyungjun Yoon, Hyeongheon Cha, Canh Hoang Nguyen, Taesik Gong, Sung-Ju Lee

CoRR, 2022

MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame.

Jaemin Shin, Seungjoo Lee, Taesik Gong, Hyungjun Yoon, Hyunchul Roh, Andrea Bianchi, Sung-Ju Lee

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022