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ORCIDYoungjune Gwon
Youngjune L. Gwon – Youngjune Lee Gwon
Person information
- affiliation: Samsung SDS, Seoul, Korea
- affiliation (former): Massachusetts Institute of Technology (MIT), Lincoln Laboratory, Cambridge, MA, USA
- affiliation (former, PhD 2015): Harvard University, John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, USA
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2020 – today
- 2024
[c50]Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon:
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models. EACL (1) 2024: 915-929- [i24]Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune L. Gwon, Sungroh Yoon:
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models. CoRR abs/2402.15162 (2024) - [i23]Junhee Cho, Jihoon Kim, Daseul Bae, Jinho Choo, Youngjune Gwon, Yeong-Dae Kwon:
CAAP: Context-Aware Action Planning Prompting to Solve Computer Tasks with Front-End UI Only. CoRR abs/2406.06947 (2024) - [i22]Sangwon Yu, Jongyoon Song, Bongkyu Hwang, Hoyoung Kang, Sooah Cho, Junhwa Choi, Seongho Joe, Taehee Lee, Youngjune L. Gwon, Sungroh Yoon:
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment. CoRR abs/2408.00137 (2024) - 2023
- [c49]Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon:
Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency. ACL (Findings) 2023: 13884-13898 - [c48]Hyunjin Choi, Hyunjae Lee, Seongho Joe, Youngjune Gwon:
Is Cross-Modal Information Retrieval Possible Without Training? ECIR (2) 2023: 377-385 - [c47]Doyoung Park, Sunjin Kim, Minkyu Kim, Naresh Reddy Yarram, Seongho Joe, Youngjune Gwon, Jongwon Choi:
Document Change Detection With Hierarchical Patch Comparison. ICIP 2023: 665-669 - [i21]Seongho Joe, Byoungjip Kim, Hoyoung Kang, Kyoungwon Park, Bogun Kim, Jaeseon Park, Joonseok Lee, Youngjune Gwon:
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision. CoRR abs/2304.09369 (2023) - [i20]Joonseok Lee, Seongho Joe, Kyoungwon Park, Bogun Kim, Hoyoung Kang, Jaeseon Park, Youngjune Gwon:
Shuffle & Divide: Contrastive Learning for Long Text. CoRR abs/2304.09374 (2023) - [i19]Hyunjin Choi, Hyunjae Lee, Seongho Joe, Youngjune L. Gwon:
Is Cross-modal Information Retrieval Possible without Training? CoRR abs/2304.11095 (2023) - 2022
- [c46]Joonseok Lee, Seongho Joe, Kyoungwon Park, Bogun Kim, Hoyoung Kang
, Jaeseon Park, Youngjune Gwon:
Shuffle & Divide: Contrastive Learning for Long Text. ICPR 2022: 2935-2941 - [c45]Seongho Joe, Byoungjip Kim, Hoyoung Kang, Kyoungwon Park, Bogun Kim, Jaeseon Park, Joonseok Lee, Youngjune Gwon:
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision. ICPR 2022: 4685-4692 - [c44]Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon:
Simulation-guided Beam Search for Neural Combinatorial Optimization. NeurIPS 2022 - [c43]Yonghyun Jeong, Doyeon Kim, Seungjai Min, Seongho Joe, Youngjune Gwon, Jongwon Choi:
BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection. WACV 2022: 2878-2887 - [i18]Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon:
Simulation-guided Beam Search for Neural Combinatorial Optimization. CoRR abs/2207.06190 (2022) - [i17]Hyunjae Lee, Jaewoong Yun, Hyunjin Choi, Seongho Joe, Youngjune L. Gwon:
Enhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization. CoRR abs/2209.00278 (2022) - 2021
- [c42]Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang:
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning. CVPR 2021: 6749-6758 - [c41]Ju-Young Ryu, Jiwon Jung, Jaeyoung Lee, Youngjune Gwon, June-Koo Kevin Rhee:
A Variational Quantum Algorithm for Ordered SVD. GLOBECOM 2021: 1-5 - [c40]Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon:
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models. ICCV 2021: 14347-14356 - [c39]Hyunjae Lee, Jaewoong Yun, Hyunjin Choi, Seongho Joe, Youngjune L. Gwon:
Enhancing Semantic Understanding with Self-Supervised Methods for Abstractive Dialogue Summarization. Interspeech 2021: 796-800 - [c38]Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon:
Matrix encoding networks for neural combinatorial optimization. NeurIPS 2021: 5138-5149 - [i16]Byoungjip Kim, Jinho Choo, Yeong-Dae Kwon, Seongho Joe, Seungjai Min, Youngjune Gwon:
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning. CoRR abs/2101.06480 (2021) - [i15]Hyunjin Choi, Judong Kim, Seongho Joe, Youngjune Gwon:
Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks. CoRR abs/2101.10642 (2021) - [i14]Hyunjin Choi, Judong Kim, Seongho Joe, Seungjai Min, Youngjune Gwon:
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks. CoRR abs/2101.10649 (2021) - [i13]Hyunjae Lee, Jaewoong Yoon, Bonggyu Hwang, Seongho Joe, Seungjai Min, Youngjune Gwon:
KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding. CoRR abs/2101.11363 (2021) - [i12]Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon:
Matrix Encoding Networks for Neural Combinatorial Optimization. CoRR abs/2106.11113 (2021) - [i11]Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon:
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models. CoRR abs/2108.02938 (2021) - [i10]Yonghyun Jeong, Doyeon Kim, Seungjai Min, Seongho Joe, Youngjune Gwon, Jongwon Choi:
BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection. CoRR abs/2109.00911 (2021) - 2020
- [c37]Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon:
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets. AAAI 2020: 4296-4303 - [c36]Jongwon Choi, Youngjoon Choi, Jihoon Kim, Jin-Yeop Chang, Ilhwan Kwon, Youngjune Gwon, Seungjai Min:
Visual Domain Adaptation by Consensus-Based Transfer to Intermediate Domain. AAAI 2020: 10655-10662 - [c35]Yonghyun Jeong, Jongwon Choi, Doyeon Kim, Sehyeon Park, Minki Hong, Changhyun Park, Seungjai Min, Youngjune Gwon:
DoFNet: Depth of Field Difference Learning for Detecting Image Forgery. ACCV (6) 2020: 83-100 - [c34]Hyunjin Choi, Judong Kim, Seongho Joe, Youngjune Gwon:
Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks. ICPR 2020: 5482-5487 - [c33]Hyunjae Lee, Jaewoong Yoon, Bonggyu Hwang, Seongho Joe, Seungjai Min, Youngjune Gwon:
KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding. ICPR 2020: 5551-5557 - [c32]Hyunjin Choi, Judong Kim, Seongho Joe, Seungjai Min, Youngjune Gwon:
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks. ICPR 2020: 9608-9613 - [c31]Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Youngjune Gwon, Seungjai Min:
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning. NeurIPS 2020 - [i9]Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon:
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets. CoRR abs/2003.01927 (2020) - [i8]Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang:
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning. CoRR abs/2003.11249 (2020) - [i7]Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Seungjai Min, Youngjune Gwon:
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning. CoRR abs/2010.16011 (2020)
2010 – 2019
- 2019
- [c30]Miriam Cha, Youngjune L. Gwon, H. T. Kung:
Adversarial Learning of Semantic Relevance in Text to Image Synthesis. AAAI 2019: 3272-3279 - 2018
- [c29]Fred Richardson, Pedro A. Torres-Carrasquillo, Jonas Borgstrom, Douglas E. Sturim, Youngjune Gwon, Jesús Villalba, Jan Trmal, Nanxin Chen, Réda Dehak, Najim Dehak:
The MIT Lincoln Laboratory / JHU / EPITA-LSE LRE17 System. Odyssey 2018: 54-59 - [i6]Sai Qian Zhang, H. T. Kung, Youngjune Gwon:
InferBeam: A Fast Beam Alignment Protocol for Millimeter-wave Networking. CoRR abs/1802.03373 (2018) - [i5]Miriam Cha, Youngjune L. Gwon, H. T. Kung:
Adversarial Learning of Semantic Relevance in Text to Image Synthesis. CoRR abs/1812.05083 (2018) - 2017
- [c28]Miriam Cha, Youngjune Gwon, H. T. Kung:
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. CIKM 2017: 2003-2006 - [c27]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:
The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System. INTERSPEECH 2017: 1333-1337 - [c26]Miriam Cha, Youngjune Gwon, H. T. Kung:
Adversarial nets with perceptual losses for text-to-image synthesis. MLSP 2017: 1-6 - [i4]Miriam Cha, Youngjune Gwon, H. T. Kung:
Adversarial nets with perceptual losses for text-to-image synthesis. CoRR abs/1708.09321 (2017) - [i3]Miriam Cha, Youngjune Gwon, H. T. Kung:
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. CoRR abs/1709.01888 (2017) - 2016
- [j1]Siamak Dastangoo, Carl Fossa, Youngjune L. Gwon, H. T. Kung:
Competing Cognitive Resilient Networks. IEEE Trans. Cogn. Commun. Netw. 2(1): 95-109 (2016) - [c25]Youngjune Gwon, Siamak Dastangoo, H. T. Kung, Carl Fossa:
Blind Signal Classification via Sparse Coding. GLOBECOM 2016: 1-6 - [c24]Youngjune Gwon, Miriam Cha, H. T. Kung:
Deep Sparse-coded Network (DSN). ICPR 2016: 2610-2615 - [c23]Youngjune L. Gwon, William M. Campbell, Douglas E. Sturim, H. T. Kung:
Language Recognition via Sparse Coding. INTERSPEECH 2016: 2920-2924 - [c22]Youngjune Gwon, Miriam Cha, William M. Campbell, H. T. Kung, Charlie K. Dagli:
Sparse-coded net model and applications. MLSP 2016: 1-6 - [c21]James R. Williamson, Elizabeth Godoy, Miriam Cha, Adrianne Schwarzentruber, Pooya Khorrami, Youngjune Gwon, H. T. Kung, Charlie K. Dagli, Thomas F. Quatieri:
Detecting Depression using Vocal, Facial and Semantic Communication Cues. AVEC@ACM Multimedia 2016: 11-18 - [c20]Kevin Brady, Youngjune Gwon, Pooya Khorrami, Elizabeth Godoy, William M. Campbell, Charlie K. Dagli, Thomas S. Huang:
Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction. AVEC@ACM Multimedia 2016: 97-104 - [c19]Kara Greenfield, Rajmonda Sulo Caceres, Michael Coury, Kelly Geyer, Youngjune Gwon, Jason Matterer, Alyssa C. Mensch, Cem Safak Sahin, Olga Simek:
A Reverse Approach to Named Entity Extraction and Linking in Microposts. #Microposts 2016: 67-69 - [i2]Youngjune Gwon, William M. Campbell, Kevin Brady, Douglas E. Sturim, Miriam Cha, H. T. Kung:
Multimodal Sparse Coding for Event Detection. CoRR abs/1605.05212 (2016) - 2015
- [c18]Youngjune Gwon, Siamak Dastangoo, Carl Fossa, H. T. Kung:
Fast Online Learning of Antijamming and Jamming Strategies. GLOBECOM 2015: 1-6 - [c17]Miriam Cha, Youngjune Gwon, H. T. Kung:
Twitter Geolocation and Regional Classification via Sparse Coding. ICWSM 2015: 582-585 - [c16]Miriam Cha, Youngjune Gwon, H. T. Kung:
Geolocation with Subsampled Microblog Social Media. ACM Multimedia 2015: 891-894 - [i1]Miriam Cha, Youngjune Gwon, H. T. Kung:
Multimodal sparse representation learning and applications. CoRR abs/1511.06238 (2015) - 2014
- [c15]Youngjune Gwon, H. T. Kung:
Inferring Origin Flow Patterns in Wi-Fi with Deep Learning. ICAC 2014: 73-83 - 2013
- [c14]Youngjune Gwon, Siamak Dastangoo, Carl Fossa, H. T. Kung:
Competing Mobile Network Game: Embracing antijamming and jamming strategies with reinforcement learning. CNS 2013: 28-36 - [c13]Youngjune Gwon, Siamak Dastangoo, H. T. Kung:
Optimizing media access strategy for competing cognitive radio networks. GLOBECOM 2013: 1215-1220 - [c12]Youngjune Gwon, H. T. Kung:
Scaling network-based spectrum analyzer with constant communication cost. INFOCOM 2013: 737-745 - 2012
- [c11]Youngjune Gwon, H. T. Kung, Dario Vlah:
Compressive sensing with optimal sparsifying basis and applications in spectrum sensing. GLOBECOM 2012: 5386-5391 - [c10]Youngjune Gwon, H. T. Kung, Dario Vlah, Keng-Yen Huang, Yi-Min Tsai:
Statistical screening for IC Trojan detection. ISCAS 2012: 85-88 - [c9]Hsieh-Chung Chen, Tsung-Han Lin, H. T. Kung, Chit-Kwan Lin, Youngjune Gwon:
Determining RF angle of arrival using COTS antenna arrays: A field evaluation. MILCOM 2012: 1-6 - [c8]Yi-Min Tsai, Keng-Yen Huang, H. T. Kung, Dario Vlah, Youngjune Gwon, Liang-Gee Chen:
A Chip Architecture for Compressive Sensing Based Detection of IC Trojans. SiPS 2012: 61-66 - 2011
- [c7]Youngjune Gwon, H. T. Kung, Dario Vlah:
DISTROY: Detecting Integrated Circuit Trojans with Compressive Measurements. HotSec 2011
2000 – 2009
- 2006
- [c6]Ulas C. Kozat, Youngjune Gwon, Ravi Jain:
An Overlay Server System (OSS) Platform for Multiplayer Online Games over Mobile Networks. GLOBECOM 2006 - 2004
- [c5]Youngjune Gwon, James Kempf, Alper Yegin:
Scalability and robustness analysis of mobile IPv6, fast mobile IPv6, hierarchical mobile IPv6, and hybrid IPv6 mobility protocols using a large-scale simulation. ICC 2004: 4087-4091 - [c4]Youngjune Gwon, Ravi Jain, Toshiro Kawahara:
Robust Indoor Location Estimation of Stationary and Mobile Users. INFOCOM 2004: 1032-1043 - [c3]Youngjune Gwon, Ravi Jain:
Error characteristics and calibration-free techniques for wireless LAN-based location estimation. Mobility Management & Wireless Access Protocols 2004: 2-9 - [c2]Youngjune Gwon, Alper Yegin:
Enhanced forwarding from the previous care-of address (EFWD) for fast handovers in mobile IPv6. WCNC 2004: 861-866 - 2003
- [c1]Youngjune Gwon, Guangrui Fu, Ravi Jain:
Fast handoffs in wireless LAN networks using mobile initiated tunneling handoff protocol for IPv4 (MITHv4). WCNC 2003: 1248-1253
Coauthor Index
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