Fast handoffs in wireless LAN networks using mobile initiated tunneling handoff protocol for IPv4 (MITHv4). - Youngjune Gwon; Guangrui Fu; Ravi Jain (WCNC, 2003)

Scalability and robustness analysis of mobile IPv6, fast mobile IPv6, hierarchical mobile IPv6, and hybrid IPv6 mobility protocols using a large-scale simulation. - Youngjune Gwon; James Kempf; Alper Yegin (ICC, 2004)

Robust Indoor Location Estimation of Stationary and Mobile Users. - Youngjune Gwon; Ravi Jain; Toshiro Kawahara (INFOCOM, 2004)

Error characteristics and calibration-free techniques for wireless LAN-based location estimation. - Youngjune Gwon; Ravi Jain (Mobility Management & Wireless Access Protocols, 2004)

Enhanced forwarding from the previous care-of address (EFWD) for fast handovers in mobile IPv6. - Youngjune Gwon; Alper Yegin (WCNC, 2004)

An Overlay Server System (OSS) Platform for Multiplayer Online Games over Mobile Networks. - Ulas C. Kozat; Youngjune Gwon; Ravi Jain (GLOBECOM, 2006)

DISTROY: Detecting Integrated Circuit Trojans with Compressive Measurements. - Youngjune Gwon; H. T. Kung 001; Dario Vlah (HotSec, 2011)

Compressive sensing with optimal sparsifying basis and applications in spectrum sensing. - Youngjune Gwon; H. T. Kung 001; Dario Vlah (GLOBECOM, 2012)

Statistical screening for IC Trojan detection. - Youngjune Gwon; H. T. Kung 001; Dario Vlah; Keng-Yen Huang; Yi-Min Tsai (ISCAS, 2012)

Determining RF angle of arrival using COTS antenna arrays: A field evaluation. - Hsieh-Chung Chen; Tsung-Han Lin; H. T. Kung 001; Chit-Kwan Lin; Youngjune Gwon (MILCOM, 2012)

A Chip Architecture for Compressive Sensing Based Detection of IC Trojans. - Yi-Min Tsai; Keng-Yen Huang; H. T. Kung 001; Dario Vlah; Youngjune Gwon; Liang-Gee Chen (SiPS, 2012)

Competing Mobile Network Game: Embracing antijamming and jamming strategies with reinforcement learning. - Youngjune Gwon; Siamak Dastangoo; Carl Fossa; H. T. Kung 001 (CNS, 2013)

Optimizing media access strategy for competing cognitive radio networks. - Youngjune Gwon; Siamak Dastangoo; H. T. Kung 001 (GLOBECOM, 2013)

Scaling network-based spectrum analyzer with constant communication cost. - Youngjune Gwon; H. T. Kung 001 (INFOCOM, 2013)

Inferring Origin Flow Patterns in Wi-Fi with Deep Learning. - Youngjune Gwon; H. T. Kung 001 (ICAC, 2014)

Fast Online Learning of Antijamming and Jamming Strategies. - Youngjune Gwon; Siamak Dastangoo; Carl Fossa; H. T. Kung 001 (GLOBECOM, 2015)

Twitter Geolocation and Regional Classification via Sparse Coding. - Miriam Cha; Youngjune Gwon; H. T. Kung 001 (ICWSM, 2015)

Geolocation with Subsampled Microblog Social Media. - Miriam Cha; Youngjune Gwon; H. T. Kung 001 (ACM Multimedia, 2015)

Multimodal sparse representation learning and applications. - Miriam Cha; Youngjune Gwon; H. T. Kung 001 (CoRR, 2015)

Blind Signal Classification via Sparse Coding. - Youngjune Gwon; Siamak Dastangoo; H. T. Kung 001; Carl Fossa (GLOBECOM, 2016)

Deep Sparse-coded Network (DSN). - Youngjune Gwon; Miriam Cha; H. T. Kung 001 (ICPR, 2016)

Language Recognition via Sparse Coding. - Youngjune L. Gwon; William M. Campbell; Douglas E. Sturim; H. T. Kung 001 (INTERSPEECH, 2016)

Sparse-coded net model and applications. - Youngjune Gwon; Miriam Cha; William M. Campbell; H. T. Kung 001; Charlie K. Dagli (MLSP, 2016)

Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction. - Kevin Brady 001; Youngjune Gwon; Pooya Khorrami; Elizabeth Godoy; William M. Campbell; Charlie K. Dagli; Thomas S. Huang (AVEC@ACM Multimedia, 2016)

Detecting Depression using Vocal, Facial and Semantic Communication Cues. - James R. Williamson; Elizabeth Godoy; Miriam Cha; Adrianne Schwarzentruber; Pooya Khorrami; Youngjune Gwon; H. T. Kung 001; Charlie K. Dagli; Thomas F. Quatieri (AVEC@ACM Multimedia, 2016)

A Reverse Approach to Named Entity Extraction and Linking in Microposts. - Kara Greenfield; Rajmonda Sulo Caceres; Michael Coury; Kelly Geyer; Youngjune Gwon; Jason Matterer; Alyssa C. Mensch; Cem Safak Sahin; Olga Simek (#Microposts, 2016)

Multimodal Sparse Coding for Event Detection. - Youngjune Gwon; William M. Campbell; Kevin Brady 001; Douglas E. Sturim; Miriam Cha; H. T. Kung 001 (CoRR, 2016)

Competing Cognitive Resilient Networks. - Siamak Dastangoo; Carl Fossa; Youngjune L. Gwon; H. T. Kung 001 (IEEE Trans. Cogn. Commun. Netw., 2016)

Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. - Miriam Cha; Youngjune Gwon; H. T. Kung 001 (CIKM, 2017)

The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System. - Pedro A. Torres-Carrasquillo; Fred Richardson; Shahan C. Nercessian; Douglas E. Sturim; William M. Campbell; Youngjune Gwon; Swaroop Vattam; Najim Dehak; Sri Harish Reddy Mallidi; Phani Sankar Nidadavolu; Ruizhi Li; Réda Dehak (INTERSPEECH, 2017)

Adversarial nets with perceptual losses for text-to-image synthesis. - Miriam Cha; Youngjune Gwon; H. T. Kung 001 (MLSP, 2017)

The MIT Lincoln Laboratory / JHU / EPITA-LSE LRE17 System. - Fred Richardson; Pedro A. Torres-Carrasquillo; Jonas Borgstrom; Douglas E. Sturim; Youngjune Gwon; Jesús Villalba 001; Jan Trmal; Nanxin Chen; Réda Dehak; Najim Dehak (Odyssey, 2018)

InferBeam: A Fast Beam Alignment Protocol for Millimeter-wave Networking. - Sai Qian Zhang; H. T. Kung 001; Youngjune Gwon (CoRR, 2018)

Adversarial Learning of Semantic Relevance in Text to Image Synthesis. - Miriam Cha; Youngjune L. Gwon; H. T. Kung 001 (AAAI, 2019)

Visual Domain Adaptation by Consensus-Based Transfer to Intermediate Domain. - Jongwon Choi; Youngjoon Choi; Jihoon Kim; Jin-Yeop Chang; Ilhwan Kwon; Youngjune Gwon; Seungjai Min (AAAI, 2020)

DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets. - Yonghyun Jeong; Hyunjin Choi; Byoungjip Kim; Youngjune Gwon (AAAI, 2020)

DoFNet: Depth of Field Difference Learning for Detecting Image Forgery. - Yonghyun Jeong; Jongwon Choi; Doyeon Kim; Sehyeon Park; Minki Hong; Changhyun Park; Seungjai Min; Youngjune Gwon (ACCV (6), 2020)

Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks. - Hyunjin Choi; Judong Kim; Seongho Joe; Youngjune Gwon (ICPR, 2020)

Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks. - Hyunjin Choi; Judong Kim; Seongho Joe; Seungjai Min; Youngjune Gwon (ICPR, 2020)

KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding. - Hyunjae Lee; Jaewoong Yoon; Bonggyu Hwang; Seongho Joe; Seungjai Min; Youngjune Gwon (ICPR, 2020)

POMO: Policy Optimization with Multiple Optima for Reinforcement Learning. - Yeong-Dae Kwon; Jinho Choo; Byoungjip Kim; Iljoo Yoon; Youngjune Gwon; Seungjai Min (NeurIPS, 2020)

VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning. - Jongwon Choi; Kwang Moo Yi; Jihoon Kim; Jinho Choo; Byoungjip Kim; Jin-Yeop Chang; Youngjune Gwon; Hyung Jin Chang (CVPR, 2021)

A Variational Quantum Algorithm for Ordered SVD. - Ju-Young Ryu; Jiwon Jung; Jaeyoung Lee; Youngjune Gwon; June-Koo Kevin Rhee (GLOBECOM, 2021)

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models. - Jooyoung Choi; Sungwon Kim 001; Yonghyun Jeong; Youngjune Gwon; Sungroh Yoon (ICCV, 2021)

Enhancing Semantic Understanding with Self-Supervised Methods for Abstractive Dialogue Summarization. - Hyunjae Lee; Jaewoong Yun; Hyunjin Choi; Seongho Joe; Youngjune L. Gwon (Interspeech, 2021)

Matrix encoding networks for neural combinatorial optimization. - Yeong-Dae Kwon; Jinho Choo; Iljoo Yoon; Minah Park; Duwon Park; Youngjune Gwon (NeurIPS, 2021)

SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning. - Byoungjip Kim; Jinho Choo; Yeong-Dae Kwon; Seongho Joe; Seungjai Min; Youngjune Gwon (CoRR, 2021)

ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision. - Seongho Joe; Byoungjip Kim; Hoyoung Kang; Kyoungwon Park; Bogun Kim; Jaeseon Park; Joonseok Lee; Youngjune Gwon (ICPR, 2022)

Shuffle & Divide: Contrastive Learning for Long Text. - Joonseok Lee; Seongho Joe; Kyoungwon Park; Bogun Kim; Hoyoung Kang; Jaeseon Park; Youngjune Gwon (ICPR, 2022)

Simulation-guided Beam Search for Neural Combinatorial Optimization. - Jinho Choo; Yeong-Dae Kwon; Jihoon Kim; Jeongwoo Jae; André Hottung; Kevin Tierney; Youngjune Gwon (NeurIPS, 2022)

BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection. - Yonghyun Jeong; Doyeon Kim; Seungjai Min; Seongho Joe; Youngjune Gwon; Jongwon Choi (WACV, 2022)

Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency. - Jongyoon Song; Nohil Park; Bongkyu Hwang; Jaewoong Yun; Seongho Joe; Youngjune Gwon; Sungroh Yoon (ACL (Findings), 2023)

Is Cross-Modal Information Retrieval Possible Without Training? - Hyunjin Choi; Hyunjae Lee; Seongho Joe; Youngjune Gwon (ECIR (2), 2023)

Document Change Detection With Hierarchical Patch Comparison. - Doyoung Park; Sunjin Kim; Minkyu Kim; Naresh Reddy Yarram; Seongho Joe; Youngjune Gwon; Jongwon Choi (ICIP, 2023)

Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models. - Jongyoon Song; Nohil Park; Bongkyu Hwang; Jaewoong Yun; Seongho Joe; Youngjune Gwon; Sungroh Yoon (EACL (1), 2024)

CAAP: Context-Aware Action Planning Prompting to Solve Computer Tasks with Front-End UI Only. - Junhee Cho; Jihoon Kim; Daseul Bae; Jinho Choo; Youngjune Gwon; Yeong-Dae Kwon (CoRR, 2024)

Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning. - Jaesun Shin; Eunjoo Jeon; Taewon Cho; Namkyeong Cho; Youngjune Gwon (CoRR, 2024)

Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment. - Sangwon Yu; Jongyoon Song; Bongkyu Hwang; Hoyoung Kang; Sooah Cho; Junhwa Choi; Seongho Joe; Taehee Lee; Youngjune Gwon; Sungroh Yoon (NAACL (Long Papers), 2025)