Publications

Preprints

[P2] PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Efficient Compression of Diffusion Models

• Beomseok Ko and Hyeryung Jang†

• under review 

[P1] StyleForge: Enhancing Text-to-Image Synthesis for Any Artistic Styles with Dual Binding

• Junseo Park*, Beomseok Ko* and Hyeryung Jang†

• arXiv preprint version is available at arXiv:2404.05256.

• under review

Journal (†: correspondence, *: equally contributed)

[J21] BiPruneFL: Computation and Communication Efficient Federated Learning with Binary Quantization and Pruning [pdf]

• Sangmin Lee and Hyeryung Jang† 

• IEEE Access, vol. 13, pp. 42441-42456, March 2025. (SCIE, JCR Q2)

[J20] Multi-adversarial Autoencoders: Stable, Faster and Self-adaptive Representation Learning [pdf]

• Xinyu Wu and Hyeryung Jang†

• Expert Systems with Applications (ESWA), March 2025. (SCIE, JCR Q1, Top 10%, IF: 7.5)

• Preprint version is available at SSRN:4530466.

[J19] Enhancing Time Series Anomaly Detection: A Knowledge Distillation Approach with Image Transformation [pdf]

• Haiwoong Park and Hyeryung Jang† 

• Sensors, no. 24: 8169, December 2024. (SCIE, JCR Q2)

[J18] SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild [pdf]

• Jiyong Moon, Hyeryung Jang and Seongsik Park

• accepted to appear at IEEE Transactions on Affective Computing (TAC), 2024. (SCIE, JCR Q1, Top 5%, IF: 9.6)

[J17] LinkFND: Simple Framework for False Negative Detection in Recommendation Tasks with Graph Contrastive Learning [pdf]

• Sanghun Kim and Hyeryung Jang† 

• IEEE Access, vol. 11, pp. 145308-145319, December 2023. (SCIE, JCR Q2)

[J16] In-Home Smartphone-Based Prediction of Obstructive Sleep Apnea: A Validation Study with Level 2 Home Polysomnography [pdf]

• Seung Cheol Han, Daewoo Kim, Chae-Seo Rhee, Sung-Woo Cho, Vu Linh Le, Eun Sung Cho, Hyunggug Kim, In-Young Yoon, Hyeryung Jang, Joonki Hong, Dongheon Lee and Jeong-Whun Kim

• JAMA Otolaryngology-Head & Neck Surgery, November 2023. (SCIE, JCR Q1, Top 2%, IF: 8.961)

[J15] Prediction of Sleep Stages via Deep Learning using Smartphone Audio Recordings in Home Environments: Model Development and Validation [pdf]

• Hai Hong Tran, Jung Kyung Hong, Hyeryung Jang, Jinhwan Jung, Jongmok Kim, Joonki Hong, Minji Lee, Jeong-Whun Kim, Clete A Kushida, Dongheon Lee, Daewoo Kim and In-Young Yoon

• Journal of Medical Internet Research (JMIR), vol. 25, pp. e46216, June 2023. (SCIE, JCR Q1, Top 10%, IF: 7.680)

[J14] Real-time Detection of Sleep Apnea based on Breathing Sounds and Prediction Reinforcement using Home Noises: Algorithm Development and Validation [pdf]

• Vu Linh Le, Daewoo Kim, Eunsung Cho, Hyeryung Jang, Roben Delos Reyes, Hyunggug Kim, Dongheon Lee, In-Young Yoon, Joonki Hong and Jeong-Whun Kim

• Journal of Medical Internet Research (JMIR), vol. 25, pp. e44818, February 2023. (SCIE, JCR Q1, Top 10%, 5-year IF: 7.680)

[J13] Learning to Broadcast for Ultra-Reliable Communication with Differential Quality of Service via the Conditional Value at Risk [pdf]

• Roy Karasik, Osvaldo Simeone, Hyeryung Jang and Shlomo Shamai

• IEEE Transactions on Communications (TCOM), vol. 70, no. 12, pp. 8060-8074, December 2022. (SCIE, JCR Q1, Top 10%, 5-year IF: 5.103)

• arXiv preprint version is available at arXiv:2112.02007.

[J12] Bayesian Continual Learning via Spiking Neural Networks [pdf]

• Nicolas Skatchkovsky,  Hyeryung Jang and Osvaldo Simeone

• Frontiers in Computational Neuroscience (FCN), vol. 16, November 2022. (SCIE, JCR Q2)

• Part of this work has been published DSLW 2021. arXiv preprint version is available at arXiv:2208.13723.

[J11] End-to-End Sleep Staging Using Nocturnal Sounds from Microphone Chips for Mobile Devices [pdf]

• Joonki Hong, Hai Tran, Jinhwan Jung, Hyeryung Jang, Dongheon Lee, In-Young Yoon, Jung Kyung Hong and Jeong-Whun Kim

• Nature and Science of Sleep (NSS), vol. 14, pp. 1187-1201, June 2022. (SCIE, JCR Q1, Top 19%)

[J10] On Cost-efficient Learning of Data Dependency [pdf]

• Hyeryung Jang†, Hyungseok Song, and Yung Yi 

• IEEE-ACM Transactions on Networking (TNET), vol.30, no.3, pp.1382-1394, June 2022. (SCIE, JCR Q1, Top 10%, 5-year IF: 3.742)

• Part of this work has been published MOBIHOC 2018.

[J9] Multi-Sample Online Learning for Probabilistic Spiking Neural Networks [pdf]

• Hyeryung Jang† and Osvaldo Simeone 

• IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol.33, no.5, pp.2034-2044, May 2022. (SCIE, JCR Q1, Top 1%, 5-year IF: 13.014)

• Part of this work has been published ICASSP 2021. arXiv preprint version is available at arXiv:2007.11894.

[J8] Spiking Neural Networks - Part III: Neuromorphic Communications [pdf]

• Nicolas Skatchkovsky, Hyeryung Jang, and Osvaldo Simeone

• IEEE Communications Letters (COMML), vol.25, no.6, pp.1746-1750, June 2021. (SCIE, JCR Q2, Top 31%, 5-year IF: 3.181)

• arXiv preprint version is available at arXiv:2010.14220.

[J7] Spiking Neural Networks - Part II: Detecting Spatio-Temporal Patterns [pdf]

• Nicolas Skatchkovsky*, Hyeryung Jang*, and Osvaldo Simeone 

• IEEE Communications Letters (COMML), vol.25, no.6, pp.1741-1745, June 2021. (SCIE, JCR Q2, Top 31%, 5-year IF: 3.181)

• arXiv preprint version is available at arXiv:2010.14217.

[J6] Spiking Neural Networks - Part I: Detecting Spatial Patterns [pdf]

• Hyeryung Jang, Nicolas Skatchkovsky, and Osvaldo Simeone

• IEEE Communications Letters (COMML), vol.25, no.6, pp.1736-1740, June 2021.  (SCIE, JCR Q2, Top 31%, 5-year IF: 3.181) 

• arXiv preprint version is available at arXiv:2010.14208.

[J5] Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning [pdf]

• Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, and Joonhyuk Kang

• IEEE Transactions on Signal Processing (TSP), vol.69, pp.226-239, Jan 2021 (SCIE, JCR Q1, Top 15%, 5-year IF: 5.217)

• Part of this work has been published SPAWC 2019. arXiv preprint version is available at arXiv:1908.09049. 

[J4] An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications [pdf] [post]

• Hyeryung Jang, Osvaldo Simeone, Brian Gardner, and André Grüning

• IEEE Signal Processing Magazine (SPM), vol.36, no.6, pp.64-77, Nov 2019. (SCIE, JCR Q1, Top 2.5%, 5-year IF: 11.510)

• Special Issue on Learning Algorithms and Signal Processing for Brain-Inspired Computing. arXiv preprint version is available at arXiv:1910.01059.

[J3] Simulation-based Distributed Coordination Maximization over Networks [pdf]

• Hyeryung Jang, Jinwoo Shin, and Yung Yi

• IEEE Transactions on Control of Network Systems (TCNS),  vol.6, no.2, pp.713-726, June 2019. (SCIE, JCR Q2, Top 30%, IF: 3.467)

• Part of this work has been published MOBIHOC 2016. arXiv preprint version is available at arXiv:1809.04972. 

[J2] Game Theoretic Perspective of Optimal CSMA [pdf]

• Hyeryung Jang, Se-Young Yun, Jinwoo Shin, and Yung Yi

• IEEE Transactions on Wireless Communications (TWC), vol.17, no.1, pp.194-209, Jan 2018. (SCIE, JCR Q1, Top 10%, 5-year IF: 6.090)

• Part of this work has been published INFOCOM 2014. 

[J1] Traffic Scheduling and Revenue Distribution among Providers in the Internet: Trade-offs and Impacts [pdf]

• Hyojung Lee, Hyeryung Jang, Jeong-woo Cho, and Yung Yi

• IEEE Journal on Selected Areas in Communications (JSAC), vol.35, no.2, pp.421-431, Feb 2017. (SCIE, JCR Q1, Top 5%, 5-year IF: 9.803)

• Special Issue on Game Theory for Networks. Part of this work has been published INFOCOM SDP workshop 2013.

Peer-reviewed Conference / Workshop Proceedings 

[C25] TFSNet: EEG-based Emotion Recognition using Temporal and Frequency-Spatial Feature

• YeRyeong Lee and Hyeryung Jang†

• International Conference on ICT Convergence (ICTC), 2025. 

[C24] I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps (Poster) [pdf]

• Junseo Park and Hyeryung Jang†

• International Conference on Learning Representations (ICLR), 2025.

• arXiv preprint version is available at arXiv:2407.12331.

[C23] Data Augmentation Techniques using Text-to-Image Diffusion Models for Enhanced Data Diversity [pdf]

• Jeongmin Shin and Hyeryung Jang† 

• International Conference on ICT Convergence (ICTC), 2024.

[C22] I2AM: Interpreting Image-to-Image Latent Diffusion Models via Attribution Maps [pdf]

• Junseo Park and Hyeryung Jang†

• Workshop on Explainable Artificial Intelligence (XAI) at IJCAI, 2024.

[C21] StyleBoost: A Study of Personalizing Text-to-Image Generation in Any Style using DreamBooth [pdf]

• Junseo Park, Beomseok Ko and Hyeryung Jang†

• International Conference on ICT Convergence (ICTC), 2023.

[C20] Dexterous Hand-Object Grasp Control with Prosthetic Hand [pdf]

• Sanghun Kim*, Jiho Park*, Zhongqun Zhang, Jihie Kim, Hyung Jin Chang and Hyeryung Jang†

• World Congress of the International Fuzzy Systems Association (IFSA), 2023.

[C19] Sound-based Sleep Staging by Exploiting Real-world Unlabeled Data [pdf]

• JongMok Kim, Daewoo Kim, Eunsung Cho, Hai Hong Tran, Joonki Hong, Dongheon Lee, JungKyung Hong, In-Young Yoon, Jeong-Whun Kim, Hyeryung Jang, and Nojun Kwak

• Workshop on Time Series Representation Learning for Health (TSRL4H) at ICLR, 2023.

[C18] Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck [pdf]

• Nicolas Skatchkovsky, Osvaldo Simeone, and Hyeryung Jang

• Neural Information Processing Systems (NeurIPS), 2021.

• arXiv preprint version is available at arXiv:2106.01177.

[C17] A Study on Training Binary Neural Networks using Efficient Gradient Computations for Intelligent Systems [pdf]

• Sangmin Lee and Hyeryung Jang†

• International Symposium on Advanced Intelligent Systems (ISIS), 2021.

[C16] BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning [pdf]

• Hyeryung Jang, Nicolas Skatchkovsky, and Osvaldo Simeone

• IEEE Data Science & Learning Workshop (DSLW), 2021. 

• arXiv preprint version is available at arXiv:2012.08300.

[C15] Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization [pdf]

• Hyeryung Jang and Osvaldo Simeone

• IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021.

• arXiv preprint version is available at arXiv:2102.03280.

[C14] VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits [pdf]

• Hyeryung Jang, Nicolas Skatchkovsky, and Osvaldo Simeone

• International Conference on Pattern Recognition (ICPR), 2020. 

• arXiv preprint version is available at arXiv:2004.09416.

[C13] End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence [pdf]

• Nicolas Skatchkovsky, Hyeryung Jang, and Osvaldo Simeone

• Asilomar Conference on Signals, Systems and Computers (ACSSC), 2020. 

• arXiv preprint version is available at arXiv:2009.01527.

[C12] Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence [pdf]

• Nicolas Skatchkovsky, Hyeryung Jang, and Osvaldo Simeone

• IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020. 

• arXiv preprint version is available at arXiv:1910.09594.

[C11] Solving Continual Combinatorial Selection via Deep Reinforcement Learning [pdf]

• Hyungseok Song, Hyeryung Jang, Hai Hong Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, and Yung Yi

• International Joint Conference on Artificial Intelligence (IJCAI), 2019. 

• arXiv preprint version is available at arXiv:1909.03638.

[C10] Learning How to Demodulate from Few Pilots via Meta-Learning [pdf]

• Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, and Joonhyuk Kang

• IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019. 

• arXiv preprint version is available at arXiv:1903.02184.

[C9] Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing [pdf]

• Hyeryung Jang and Osvaldo Simeone

• IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.

• arXiv preprint version is available at arXiv:1810.08940.

[C8] Learning Data Dependency with Communication Cost [pdf] [slide]

• Hyeryung Jang, HyungSeok Song, and Yung Yi

• ACM International Symposium on Mobile Ad Hoc Networking and Computing (MOBIHOC), 2018. (Acceptance rate: 16.8%) 

• arXiv preprint version is available at arXiv:1804.10942. 

[C7] Adiabatic Persistent Contrastive Divergence Learning [pdf] [slide]

• Hyeryung Jang, Hyungwon Choi, Yung Yi, and Jinwoo Shin

• IEEE International Symposium on Information Theory (ISIT), 2017. 

• arXiv preprint version is available at arXiv:1605.08174.  

[C6] Distributed Coordination Maximization over Networks: A Stochastic Approximation Approach [pdf] [slide]

• Hyeryung Jang, Se-Young Yun, Jinwoo Shin, and Yung Yi

• ACM International Symposium on Mobile Ad Hoc Networking and Computing (MOBIHOC), 2016. (Acceptance rate: 18.7%) 

[C5] Distributed Learning for Utility Maximization over CSMA-based Wireless Multihop Networks [pdf] [slide] [video]

• Hyeryung Jang, Se-Young Yun, Jinwoo Shin, and Yung Yi

• IEEE International Conference on Computer Communications (INFOCOM), 2014. (Acceptance rate: 19.3%) 

[C4] On the Interaction between Content-Oriented Traffic Scheduling and Revenue Sharing among Providers [pdf]

• Hyojung Lee, Hyeryung Jang, Yung Yi, and Jeong-woo Cho

• IEEE International Conference on Computer Communications (INFOCOM) Smart Data Pricing workshop, 2013.

[C3] Network traffic reduction through smart network [pdf]

• Jaehoon Jeong, Hyeryung Jang, Yujin Kim, Yung Yi, and Jeonghoon Mo

• International Conference on Information Networking (ICOIN), 2013.

[C2] On the Stability of ISPs’ Coalition Structure: Shapley Value based Revenue Sharing [pdf]

• Hyojung Lee, Hyeryung Jang, Jeong-woo Cho, and Yung Yi

• Annual Conference on Information Sciences and Systems (CISS), 2012. 

[C1] On the Interaction between ISP Revenue Sharing and Network Neutrality [pdf] [poster] 

• Hyeryung Jang, Hyojung Lee, and Yung Yi

• ACM International Conference on emerging Networking Experiments and Technologies (CONEXT) Student workshop, 2010. 

Domestic Journal / Conference

[D9] 디퓨전 모델과 텍스트 입력을 활용한 키포인트 기반 동영상 편집 기법에 관한 연구

• 강동경, 황재연, 장혜령

• 한국인공지능학술대회 (Korea Artificial Intelligence Conference), 한국통신학회, 2024. [학부생 논문 경진대회 장려 논문 수상]

[D8] YOLO 기반 뇌 종양 탐지와 MGMT 프로모터 메틸화 예측에 관한 연구 

• 장정의, 이예령, 강채연, 장혜령

• 한국인공지능학술대회 (Korea Artificial Intelligence Conference), 한국통신학회, 2024. [학부생 논문 경진대회 장려 논문 수상]

[D7] Multi-prize Lottery Ticket Hypothesis 기반 연합학습에 관한 연구 [pdf]

• 이상민, 장혜령

• 한국인공지능학술대회 (Korea Artificial Intelligence Conference), 한국통신학회, 2022.

[D6] YOLO 기반 이륜차와 헬멧 객체 검출 방법에 관한 연구 [pdf]

• 박세연, 장혜령

• 한국인공지능학술대회 (Korea Artificial Intelligence Conference), 한국통신학회, 2022.

[D5] Learning Probabilistic Graphical Models via Stochastic Approximation [pdf] 

• Hyeryung Jang, Yung Yi, and Jinwoo Shin

• 통신정보 합동학술대회 (Joint Conference on Communications and Information, JCCI), 2016.

[D4] Shapley value based ISP Revenue Sharing: Feasibility and Stability [pdf] 

• Hyojung Lee, Hyeryung Jang, and Yung Yi

• 통신정보 합동학술대회 (Joint Conference on Communications and Information, JCCI), 2013.

[D3] Economic Value of Smart Network [pdf] 

• Jaehoon Jeong, Hyeryung Jang, Yung Yi, Jeonghoon Mo, Hoseok Oh, and Youngil Seo

• 전자정보 통신학술대회 논문집 (Conference on Electronics and Information Communications, CEIC), 2011.

[D2] Consolidation on Disintermediation?: Shapley-like Profit Distribution among ISPs [pdf] 

• Hyeryung Jang, Hyojung Lee, Jeong-woo Cho, and Yung Yi

• 하계 컴퓨터통신 워크샵 (Summer Workshop on Computer Communications, SWCC), 2011.

[D1] Shapley Value Mechanism: Revenue Sharing among ISPs with CP Subsidy [pdf] 

• Hyojung Lee, Hyeryung Jang, and Yung Yi,

• 통신정보 합동학술대회 (Joint Conference on Communications and Information, JCCI), 2011.

Patents

[P10] 시계열 데이터 이상 탐지를 위한 방법 및 이에 대한 장치

• 장혜령, 박해웅

• 출원번호 10-2025-0061868 (출원일자 2025.05.13)

[P9] 연합 학습을 위한 방법 및 이에 대한 장치

• 장혜령, 이상민

• 출원번호 10-2025-0050087 (출원일자 2025.04.17)

[P8] LDM의 이미지 생성 과정을 시각화하고 분석하는 방법과 연산장치, 그리고 이를 기록한 기록 매체

• 장혜령, 박준서

• 출원번호 10-2024-0127170 (출원일자 2024.09.20)

[P7] 개인화 가능한 text-to-image 모델의 학습 방법과 추론 방법, 이의 연산장치와 기록 매체

• 장혜령, 박준서, 고범석

• 출원번호 10-2024-0122516 (출원일자 2024.09.09)

[P6] 축우 생체 정보를 이용한 인공지능 기반 발정 행동 예측 장치 및 예측 방법

• 장혜령, 박해웅, 신정민

• 출원번호 10-2023-0164608 (출원일자 2023.11.23)

[P5] 헬멧 착용 여부 검출 장치 및 방법

• 장혜령, 박세연

• 출원번호 10-2023-0133069 (출원일자 2023.10.06), 등록번호 10-2781305 (등록일자 (2025.03.10)

[P4] 영유아 위험 행동 감지 장치, 영유아 위험 행동 감지 방법 및 이를 수행하기 위한 기록 매체

• 신연순, 장혜령, 김세영, 박세연, 유연아, 윤서정

• 출원번호 10-2023-0079177 (출원일자 2023.06.20)

[P3] 상습 침수지역 모니터링 및 위험 정보 제공 웹 서버, 상습 침수지역 모니터링 및 위험 정보 제공 방법 및 이를 수행하기 위한 기록매체

• 신연순, 장혜령, 이희경, 이세영, 이보경

• 출원번호 10-2023-0070846 (출원일자 2023.06.01), 등록번호 10-2677909 (등록일자 2024.06.19)

[P2] 효율적인 미분 계산을 이용한 이진 뉴럴 네트워크 학습 방법 및 장치 

• 장혜령, 이상민

• 출원번호 10-2022-0074597 (출원일자 2022.06.20)

[P1] 온라인 메타-러닝을 이용하여 실시간 적응형 복조기 설계 방법 및 장치

• 강준혁, 박상우, 장혜령

• 출원번호 10-2021-0109422 (출원일자 2021.08.19), 등록번호 10-2399481 (등록일자 2022.05.13)