Hyeryung Jang - RankMe

60 papers A* 5B 4Misc 5Journal 40Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On. CoRR Junseo Park, Hyeryung Jang
2025	J	`jnl`	BiPruneFL: Computation and Communication Efficient Federated Learning With Binary Quantization and Pruning. IEEE Access Sangmin Lee, Hyeryung Jang
2025	A*	`conf`	I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps. ICLR Junseo Park, Hyeryung Jang
2025	J	`jnl`	Multi-adversarial autoencoders: Stable, faster and self-adaptive representation learning. Expert Syst. Appl. Xinyu Wu, Hyeryung Jang
2025	J	`jnl`	PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model. CoRR Beom-Seok Ko, Hyeryung Jang
2025	J	`jnl`	SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild. IEEE Trans. Affect. Comput. Jiyong Moon, Hyeryung Jang, Seongsik Park
2024	—	`conf`	Data Augmentation Techniques Using Text-to-Image Diffusion Models for Enhanced Data Diversity. ICTC Jeongmin Shin, Hyeryung Jang
2024	J	`jnl`	I2AM: Interpreting Image-to-Image Latent Diffusion Models via Attribution Maps. CoRR Junseo Park, Hyeryung Jang
2024	J	`jnl`	Text-to-Image Synthesis for Any Artistic Styles: Advancements in Personalized Artistic Image Generation via Subdivision and Dual Binding. CoRR Junseo Park, Beom-Seok Ko, Hyeryung Jang
2023	J	`jnl`	LinkFND: Simple Framework for False Negative Detection in Recommendation Tasks With Graph Contrastive Learning. IEEE Access Sanghun Kim, Hyeryung Jang
2023	—	`conf`	StyleBoost: A Study of Personalizing Text-to-Image Generation in Any Style using DreamBooth. ICTC Junseo Park, Beom-Seok Ko, Hyeryung Jang
2022	J	`jnl`	Bayesian Continual Learning via Spiking Neural Networks. CoRR Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
2022	J	`jnl`	Bayesian continual learning via spiking neural networks. Frontiers Comput. Neurosci. Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
2022	J	`jnl`	Learning to Broadcast for Ultra-Reliable Communication With Differential Quality of Service via the Conditional Value at Risk. IEEE Trans. Commun. Roy Karasik, Osvaldo Simeone, Hyeryung Jang, Shlomo Shamai Shitz
2022	J	`jnl`	Multisample Online Learning for Probabilistic Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Hyeryung Jang, Osvaldo Simeone
2022	J	`jnl`	On Cost-Efficient Learning of Data Dependency. IEEE/ACM Trans. Netw. Hyeryung Jang, HyungSeok Song, Yung Yi
2021	J	`jnl`	Learning to Broadcast for Ultra-Reliable Communication with Differential Quality of Service via the Conditional Value at Risk. CoRR Roy Karasik, Osvaldo Simeone, Hyeryung Jang, Shlomo Shamai
2021	J	`jnl`	Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning. IEEE Trans. Signal Process. Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
2021	A*	`conf`	Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck. NeurIPS Nicolas Skatchkovsky, Osvaldo Simeone, Hyeryung Jang
2021	J	`jnl`	Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck. CoRR Nicolas Skatchkovsky, Osvaldo Simeone, Hyeryung Jang
2021	Misc	`conf`	Multi-Sample Online Learning for Spiking Neural Networks Based on Generalized Expectation Maximization. ICASSP Hyeryung Jang, Osvaldo Simeone
2021	J	`jnl`	Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization. CoRR Hyeryung Jang, Osvaldo Simeone
2021	J	`jnl`	Spiking Neural Networks - Part I: Detecting Spatial Patterns. IEEE Commun. Lett. Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone
2021	J	`jnl`	Spiking Neural Networks - Part II: Detecting Spatio-Temporal Patterns. IEEE Commun. Lett. Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
2021	J	`jnl`	Spiking Neural Networks - Part III: Neuromorphic Communications. IEEE Commun. Lett. Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
2020	J	`jnl`	BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning. CoRR Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone
2020	Misc	`conf`	End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence. ACSSC Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
2020	J	`jnl`	End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence. CoRR Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
2020	Misc	`conf`	Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence. ICASSP Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
2020	J	`jnl`	Multi-Compartment Variational Online Learning for Spiking Neural Networks. CoRR Hyeryung Jang, Osvaldo Simeone
2020	J	`jnl`	Spiking Neural Networks - Part I: Detecting Spatial Patterns. CoRR Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone
2020	J	`jnl`	Spiking Neural Networks - Part II: Detecting Spatio-Temporal Patterns. CoRR Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
2020	J	`jnl`	Spiking Neural Networks - Part III: Neuromorphic Communications. CoRR Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
2020	B	`conf`	VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner- Take-All Circuits. ICPR Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone
2020	J	`jnl`	VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits. CoRR Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone
2019	J	`jnl`	An Introduction to Probabilistic Spiking Neural Networks. CoRR Hyeryung Jang, Osvaldo Simeone, Brian Gardner, André Grüning
2019	J	`jnl`	An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications. IEEE Signal Process. Mag. Hyeryung Jang, Osvaldo Simeone, Brian Gardner, André Grüning
2019	J	`jnl`	Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence. CoRR Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
2019	—	`conf`	Learning How to Demodulate from Few Pilots via Meta-Learning. SPAWC Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
2019	J	`jnl`	Learning How to Demodulate from Few Pilots via Meta-Learning. CoRR Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
2019	J	`jnl`	Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning. CoRR Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
2019	J	`jnl`	Simulation-Based Distributed Coordination Maximization Over Networks. IEEE Trans. Control. Netw. Syst. Hyeryung Jang, Jinwoo Shin, Yung Yi
2019	A*	`conf`	Solving Continual Combinatorial Selection via Deep Reinforcement Learning. IJCAI HyungSeok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, Yung Yi
2019	J	`jnl`	Solving Continual Combinatorial Selection via Deep Reinforcement Learning. CoRR HyungSeok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, Yung Yi
2019	Misc	`conf`	Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing. ICASSP Hyeryung Jang, Osvaldo Simeone
2018	J	`jnl`	Game Theoretic Perspective of Optimal CSMA. IEEE Trans. Wirel. Commun. Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi
2018	B	`conf`	Learning Data Dependency with Communication Cost. MobiHoc Hyeryung Jang, HyungSeok Song, Yung Yi
2018	J	`jnl`	Learning Data Dependency with Communication Cost. CoRR Hyeryung Jang, HyungSeok Song, Yung Yi
2018	J	`jnl`	Simulation-based Distributed Coordination Maximization over Networks. CoRR Hyeryung Jang, Jinwoo Shin, Yung Yi
2018	J	`jnl`	Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing. CoRR Hyeryung Jang, Osvaldo Simeone
2017	B	`conf`	Adiabatic Persistent Contrastive Divergence learning. ISIT Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin
2017	J	`jnl`	Traffic Scheduling and Revenue Distribution Among Providers in the Internet: Tradeoffs and Impacts. IEEE J. Sel. Areas Commun. Hyojung Lee, Hyeryung Jang, Jeong-woo Cho, Yung Yi
2016	J	`jnl`	Adiabatic Persistent Contrastive Divergence Learning. CoRR Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin
2016	B	`conf`	Distributed coordination maximization over networks: a stochastic approximation approach. MobiHoc Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi
2014	A*	`conf`	Distributed learning for utility maximization over CSMA-based wireless multihop networks. INFOCOM Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi
2013	—	`conf`	Network traffic reduction through smart network. ICOIN Jaehoon Jeong, Hyeryung Jang, Yujin Kim, Yung Yi, Jeonghoon Mo
2013	A*	`conf`	On the interaction between content-oriented traffic scheduling and revenue sharing among providers. INFOCOM Hyojung Lee, Hyeryung Jang, Yung Yi, Jeong-woo Cho
2013	—	`conf`	On the interaction between content-oriented traffic scheduling and revenue sharing among providers. INFOCOM Workshops Hyojung Lee, Hyeryung Jang, Yung Yi, Jeong-woo Cho
2012	Misc	`conf`	On the stability of ISPs' coalition structure: Shapley value based revenue sharing. CISS Hyojung Lee, Hyeryung Jang, Jeong-woo Cho, Yung Yi
2010	—	`conf`	On the interaction between ISP revenue sharing and network neutrality. StudentWorkshop@CoNEXT Hyeryung Jang, Hyojung Lee, Yung Yi