Publications (from 2020)

Selected publications

• Hyun-Jong Lee and Jae-Han Lim, “Practical Mechanism for Fault-Tolerant Spiking Neural Networks via Simple Input Control Based on Learnable Fragmentation“, in ICML (Top conference), Seoul, South Korea, 2026.
• Dong-Hoon Kim and Jae-Han Lim, “CodeScatter: Distortion-aware Collision Resolution for Concurrent Multiple Access in Backscatter Networks“, in IEEE ICNP (Top conference), Seoul, South Korea, 2025.
• Jae-Han Lim, Ayano Naito, and Ji-Hoon Yun, “MCScatter: Multi-Carrier OFDM Modulation for Transmitting Tag Data over Ambient Wi-Fi Signals“, IEEE Transactions on Wireless Communications (SCI Impact Factor: 10.7; Scopus Cite Score: 17.3), Vol. 25, pp. 5416-5431, 2025.
• Jae-Han Lim, Katsuhiro Naito, Donghyeok Tak, and Yeon-Sup Lim, “Cooperative Trajectory Prediction using IVC and Accuracy-Aware Attention with Inaccurate GPS Data“, in IEEE MASS, Seoul, South Korea, 2024.
• Jae-Han Lim, Katsuhiro Naito, Ji-Hoon Yun, and Eun-Kyu Lee, “To Predict or to Relay: Tracking Neighbors via Beaconing in Heterogeneous Vehicle Conditions“, IEEE Transactions on Mobile Computing (SCI Impact Factor: 9.2; Scopus Cite Score: 11.9), Vol. 21, Issue. 3, pp.1142-1154, March 18, 2022.

International journal papers

• Jae-Han Lim, Ayano Naito, and Ji-Hoon Yun, “MCScatter: Multi-Carrier OFDM Modulation for Transmitting Tag Data over Ambient Wi-Fi Signals“, IEEE Transactions on Wireless Communications (SCI Impact Factor: 10.7; Scopus Cite Score: 17.3), Vol. 25, pp. 5416-5431, 2025.
• Hyun-Jong Lee and Jae-Han Lim, “Adaptive Synaptic Adjustment Mechanism to Improve Learning Performances of Spiking Neural Networks“, Wiley Computational Intelligence (SCI Impact Factor: 1.7; Scopus CiteScore: 7.4), Vol. 40, Issue 5, pp. 1368–1386, 2024.
• Hyun-Jong Lee, Dong-Hoon Kim, and Jae-Han Lim, “Wi-Fi Frame Detection via Spiking Neural Networks with Memristive Synapses“, Elsevier Computer Communications (SCI Impact Factor: 4.3; Scopus Cite Score: 11.5), Vol. 204, pp. 256-270, 2023.
• Jae-Han Lim, Katsuhiro Naito, Ji-Hoon Yun, and Eun-Kyu Lee, “To Predict or to Relay: Tracking Neighbors via Beaconing in Heterogeneous Vehicle Conditions“, IEEE Transactions on Mobile Computing (SCI Impact Factor: 9.2; Scopus Cite Score: 11.9), Vol. 21, Issue. 3, pp.1142-1154, March 18, 2022.
• Dong-Hoon Kim, Hyung-Jung Kim, and Jae-Han Lim, “Design of Optimized Coded LFM Waveform for Spectrum Shared Radar System“, MDPI Sensors (SCI Impact Factor: 3.5; Scopus Cite Score: 7.3), Vol. 21, No.17, Article 5796, pp.1-11, August 28, 2021.
• Jae-Han Lim and Eun-Kyu Lee, “Modeling the Accuracy of Estimating a Neighbor’s Evolving Position in VANET“, MDPI Applied Sciences (SCI Impact Factor: 2.5; Scopus Cite Score: 5.5), Vol. 10, Issue.19, Article 6814 (11 pages), September 28, 2020.

International conference papers

• Hyun-Jong Lee and Jae-Han Lim, “Practical Mechanism for Fault-Tolerant Spiking Neural Networks via Simple Input Control Based on Learnable Fragmentation“, in ICML (Top conference), Seoul, South Korea, 2026.
• Dong-Gyun Kim (Equally contributed), Jung-Yoon Heo (Equally contributed), and Jae-Han Lim, “Dynamic Spiking YOLO for Object Detection in Autonomous Vehicles“, in IEEE ICNC, Maui, Hawaii, 2026.
• Dong-Hoon Kim and Jae-Han Lim, “CodeScatter: Distortion-aware Collision Resolution for Concurrent Multiple Access in Backscatter Networks“, in IEEE ICNP (Top conference), Seoul, South Korea, 2025.
• Jae-Han Lim, Katsuhiro Naito, Donghyeok Tak, and Yeon-Sup Lim, “Cooperative Trajectory Prediction using IVC and Accuracy-Aware Attention with Inaccurate GPS Data“, in IEEE MASS, Seoul, South Korea, 2024.
• Jae-Han Lim, Katsuhiro Naito, and Yeon-Sup Lim, “Trajectory Prediction of Neighboring Vehicles via Periodic Beaconing with Inaccurate GPS Data“, in IEEE PIMRC, Toronto, Canada, 2023.
• Hyun-Jong Lee and Jae-Han Lim, “Analysis on Effects of Fault Elements in Memristive Neuromorphic Systems“, in GLOW Workshop at IJCAI, Macao S.A.R, China, 2023.
• Hyun-Jong Lee, Dong-Hoon Kim, Dong-Gyun Kim, Yeon-Sup Lim, and Jae-Han Lim,” Performance Analysis of Spiking Neural Networks with Memristive Synapse in Detecting and Classifying RF Wave Signals“, in IEEE ICTC, Jeju, South Korea, 2022.
• Dong-Gyun Kim and Jae-Han Lim, “Experiment on Threshold in Ambient Backscatter Communication with Amplitude Modulation“, in IEEE ICTC, Jeju, South Korea, 2021.

Domestic journal papers

• 탁동혁 및 임재한, “Accurate and Fast Vehicle Trajectory Prediction using State Space Models“, 한국통신학회논문지 (KCI, SCOPUS 등재), accepted (11월에 게제 예정), 2026.
• 김동균, 임재한, 이현종, 및 임연섭, “SNN 기반 연합학습의 이미지 분류 성능 및 에너지 효율성 분석“, 한국통신학회논문지 (KCI, SCOPUS 등재), Vol. 49, No. 7, pp. 935-946, 2024.
• 허정윤, 이현종, 및 임재한, “SNN을 이용한 저전력 침입 탐지 시스템“,한국통신학회논문지 (KCI, Scopus 등재), Vol. 49, No.6, pp. 847-861, 2024.
• 김수현 (공동 1저자), 권상원 (공동 1저자), 및 임재한, “802.11p V2X 통신에서 LSTM 기반 고성능 Link Adaptation 메커니즘“,한국통신학회논문지 (KCI, Scopus 등재), 최우수논문상선정, Vol. 49, No. 4, pp 671-683, 2024.
• 이현종 및 임재한, “템포럴 코딩과 레이트 코딩을 이용한 Spiking Neural Network의 RF 신호 탐지 및 분류 성능 분석“,한국통신학회논문지 (KCI, Scopus 등재), Vol. 49, No. 2, pp 162-171, 2023.

Domestic conference papers

• 허정윤 및 임재한, “YOLOv8n에서의 단일 계층 ANN to SNN 변환,” 한국통신학회 동계학술대회 학술논문집, 2025.
• 허정윤 및 임재한, YOLOv3-Tiny 를 이용한 자율주행 차량의 객체 탐지 시스템과 SNNs 변환, 한국통신학회 동계학술대회 학술논문집, 2024.
• 허정윤 및 임재한 STDP 를 이용한 DDoS 공격 패킷 분석, 한국통신학회 동계학술대회 학술논문집 2023.
• 탁동혁 및 임재한 뉴로모픽 시스템을 위한 인코딩 및 디코딩 인터페이스 구축, 한국통신학회 동계학술대회 학술논문집 2023.

Papers under submission, review, or revision

• Hyun-Jong Lee and Jae-Han Lim, “Structurally-Dynamic Neural Network Based on Spikes for Efficient Carrier Frequency Offset Estimation in Wi-Fi“, IEEE Transactions on Green Communications and Networking (SCI Impact Factor: 6.7; Scopus Cite Score: 13.1), under second round review, 2026.
• Anonymous authors, “Anonymous Paper,” in Mech Interp Workshop at ICML, under submission, 2026.
• Anonymous authors, “Anonymous Paper,” in KICS journal, under review, 2026.

Patents

• 등록: 스파이킹 뉴럴 네트워크 기반 와이파이 프레임 탐지 장치 및 방법 (발명자: 이현종, 임재한)
• 출원: 시냅스 가중치 조절 방법 및 컴퓨터 시스템 (발명자: 이현종, 임재한)
• 출원: 스파이킹 뉴럴 네트워크 기반 침입 탐지 시스템 (발명자: 허정윤, 임재한)