Secure clustered distributed storage against eavesdroppers. - Beongjun Choi; Jy-yong Sohn; Sung Whan Yoon; Jaekyun Moon (ICC, 2017)

Pilot Reuse Strategy Maximizing the Weighted-Sum-Rate in Massive MIMO Systems. - Jy-yong Sohn; Sung Whan Yoon; Jaekyun Moon (IEEE J. Sel. Areas Commun., 2017)

On Reusing Pilots Among Interfering Cells in Massive MIMO. - Jy-yong Sohn; Sung Whan Yoon; Jaekyun Moon (IEEE Trans. Wirel. Commun., 2017)

Hierarchical Coding for Distributed Computing. - Hyegyeong Park; Kangwook Lee 001; Jy-yong Sohn; Changho Suh; Jaekyun Moon (ISIT, 2018)

A Class of MSR Codes for Clustered Distributed Storage. - Jy-yong Sohn; Beongjun Choi; Jaekyun Moon (ISIT, 2018)

Explicit Construction of MBR Codes for Clustered Distributed Storage. - Jy-yong Sohn; Jaekyun Moon (CoRR, 2018)

Combined Window-Filter Waveform Design With Transmitter-Side Channel State Information. - Dong-Jun Han; Jaekyun Moon; Jy-yong Sohn; Sunyoung Jo; Jang Hun Kim (IEEE Trans. Veh. Technol., 2018)

Scalable Network-Coded PBFT Consensus Algorithm. - Beongjun Choi; Jy-yong Sohn; Dong-Jun Han; Jaekyun Moon (ISIT, 2019)

Coded Distributed Computing over Packet Erasure Channels. - Dong-Jun Han; Jy-yong Sohn; Jaekyun Moon (ISIT, 2019)

Coded Matrix Multiplication on a Group-Based Model. - Muah Kim; Jy-yong Sohn; Jaekyun Moon (ISIT, 2019)

Secure Clustered Distributed Storage Against Eavesdropping. - Beongjun Choi; Jy-yong Sohn; Sung Whan Yoon; Jaekyun Moon (IEEE Trans. Inf. Theory, 2019)

Capacity of Clustered Distributed Storage. - Jy-yong Sohn; Beongjun Choi; Sung Whan Yoon; Jaekyun Moon (IEEE Trans. Inf. Theory, 2019)

Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks. - Jy-yong Sohn; Dong-Jun Han; Beongjun Choi; Jaekyun Moon (NeurIPS, 2020)

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. - Hongyi Wang 001; Kartik Sreenivasan; Shashank Rajput; Harit Vishwakarma; Saurabh Agarwal; Jy-yong Sohn; Kangwook Lee 001; Dimitris S. Papailiopoulos (NeurIPS, 2020)

Communication-Computation Efficient Secure Aggregation for Federated Learning. - Beongjun Choi; Jy-yong Sohn; Dong-Jun Han; Jaekyun Moon (CoRR, 2020)

TiBroco: A Fast and Secure Distributed Learning Framework for Tiered Wireless Edge Networks. - Dong-Jun Han; Jy-yong Sohn; Jaekyun Moon (INFOCOM, 2021)

Finding Everything within Random Binary Networks. - Kartik Sreenivasan; Shashank Rajput; Jy-yong Sohn; Dimitris S. Papailiopoulos (CoRR, 2021)

Hierarchical Broadcast Coding: Expediting Distributed Learning at the Wireless Edge. - Dong-Jun Han; Jy-yong Sohn; Jaekyun Moon (IEEE Trans. Wirel. Commun., 2021)

Coded Wireless Distributed Computing With Packet Losses and Retransmissions. - Dong-Jun Han; Jy-yong Sohn; Jaekyun Moon (IEEE Trans. Wirel. Commun., 2021)

Finding Nearly Everything within Random Binary Networks. - Kartik Sreenivasan; Shashank Rajput; Jy-yong Sohn; Dimitris S. Papailiopoulos (AISTATS, 2022)

Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. - Tuan Dinh; Jy-yong Sohn; Shashank Rajput; Timothy Ossowski; Yifei Ming; Junjie Hu 001; Dimitris S. Papailiopoulos; Kangwook Lee 001 (EMNLP (Findings), 2022)

GenLabel: Mixup Relabeling using Generative Models. - Jy-yong Sohn; Liang Shang; Hongxu Chen; Jaekyun Moon; Dimitris S. Papailiopoulos; Kangwook Lee 001 (ICML, 2022)

Breaking Fair Binary Classification with Optimal Flipping Attacks. - Changhun Jo; Jy-yong Sohn; Kangwook Lee 001 (ISIT, 2022)

LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks. - Tuan Dinh; Yuchen Zeng; Ruisu Zhang; Ziqian Lin; Michael Gira; Shashank Rajput; Jy-yong Sohn; Dimitris S. Papailiopoulos; Kangwook Lee 001 (NeurIPS, 2022)

Rare Gems: Finding Lottery Tickets at Initialization. - Kartik Sreenivasan; Jy-yong Sohn; Liu Yang 001; Matthew Grinde; Alliot Nagle; Hongyi Wang 001; Eric P. Xing; Kangwook Lee 001; Dimitris S. Papailiopoulos (NeurIPS, 2022)

Rare Gems: Finding Lottery Tickets at Initialization. - Kartik Sreenivasan; Jy-yong Sohn; Liu Yang 001; Matthew Grinde; Alliot Nagle; Hongyi Wang 001; Kangwook Lee 001; Dimitris S. Papailiopoulos (CoRR, 2022)

Can We Find Strong Lottery Tickets in Generative Models? - Sangyeop Yeo; Yoojin Jang 001; Jy-yong Sohn; Dongyoon Han; Jaejun Yoo 001 (AAAI, 2023)

Equal Improvability: A New Fairness Notion Considering the Long-term Impact. - Ozgur Guldogan; Yuchen Zeng; Jy-yong Sohn; Ramtin Pedarsani; Kangwook Lee 001 (ICLR, 2023)

Looped Transformers as Programmable Computers. - Angeliki Giannou; Shashank Rajput; Jy-yong Sohn; Kangwook Lee 001; Jason D. Lee; Dimitris Papailiopoulos (ICML, 2023)

ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification. - Sehee Lim; Yejin Kim; Chi-Hyun Choi; Jy-yong Sohn; Byung-Hoon Kim (ClinicalNLP@NAACL, 2024)

Analysis of Using Sigmoid Loss for Contrastive Learning. - Chungpa Lee; Joonhwan Chang; Jy-yong Sohn (AISTATS, 2024)

Can Separators Improve Chain-of-Thought Prompting? - Yoonjeong Park; Hyunjin Kim 004; Chanyeol Choi; Junseong Kim; Jy-yong Sohn (FLLM, 2024)

Improving Multi-lingual Alignment Through Soft Contrastive Learning. - Minsu Park; Seyeon Choi; Chanyeol Choi; Jun-Seong Kim; Jy-yong Sohn (NAACL (Student Research Workshop), 2024)

Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks. - Jy-yong Sohn; Dohyun Kwon 002; Seoyeon An; Kangwook Lee 001 (UAI, 2024)

Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses. - Juyeon Kim; Jeongeun Lee; Yoonho Chang; Chanyeol Choi; Junseong Kim; Jy-yong Sohn (CoRR, 2024)

Aligning Large Language Models for Enhancing Psychiatric Interviews through Symptom Delineation and Summarization. - Jae-hee So; Joonhwan Chang; Eunji Kim; Junho Na; JiYeon Choi; Jy-yong Sohn; Byung-Hoon Kim; Sang Hui Chu (CoRR, 2024)

Linq-Embed-Mistral Technical Report. - Chanyeol Choi; Junseong Kim; Seolhwa Lee; Jihoon Kwon; Sangmo Gu; Yejin Kim; Minkyung Cho; Jy-yong Sohn (CoRR, 2024)

Mini-Batch Optimization of Contrastive Loss. - Jaewoong Cho; Kartik Sreenivasan; Keon Lee; Kyunghoo Mun; Soheun Yi; Jeong-Gwan Lee; Anna Lee; Jy-yong Sohn; Dimitris Papailiopoulos; Kangwook Lee 001 (Trans. Mach. Learn. Res., 2024)

A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning. - Chungpa Lee; Jeongheon Oh; Kibok Lee 003; Jy-yong Sohn (AISTATS, 2025)

Buffer-based Gradient Projection for Continual Federated Learning. - Shenghong Dai; Jy-yong Sohn; Yicong Chen; S. M. Iftekharul Alam; Ravikumar Balakrishnan; Suman Banerjee 001; Nageen Himayat; Kangwook Lee 001 (Trans. Mach. Learn. Res., 2025)

Bridging Language Models and Financial Analysis. - Alejandro Lopez-Lira; Jihoon Kwon; Sangwoon Yoon; Jy-yong Sohn; Chanyeol Choi (CoRR, 2025)

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation. - Chanyeol Choi; Jihoon Kwon; Jaeseon Ha; Hojun Choi; Chaewoon Kim; Yongjae Lee; Jy-yong Sohn; Alejandro Lopez-Lira (CoRR, 2025)

Understanding the behavior of representation forgetting in continual learning. - Joonkyu Kim; Yejin Kim; Jy-yong Sohn (CoRR, 2025)

On the Similarities of Embeddings in Contrastive Learning. - Chungpa Lee; Sehee Lim; Kibok Lee 003; Jy-yong Sohn (CoRR, 2025)