Publications

2026

[1] Changho Yun, Eunsae Oh, Wansu Lim, "Propagation-Aware Scheduling MAC Protocol for Reliable Underwater Swarmed AUV Communications Networks, IEEE Internet of Things Journal, Mar. 2026, (10.1109/JIOT.2025.3642314)

[2]  Boyang Yu, Zixuan Li, Xu Zhang, Wansu Lim, William Liu, Yue Cao, "A Dual-path Lightweight Detector with Hybrid Attention for Real-Time Object Detection, EAAI, July 2026, (10.1016/j.engappai.2026.114669)

[3]  Younha Kim, Saebin Shin, Eunjae Cha, Wansu Lim, "Edge-Optimized Battery SOH Estimation Using LLM-Based Feature Engineering and TinyELM, IEEE Internet of Things Journal, Early access, (10.1109/JIOT.2026.3676996)

[4] Yerin Byeon, Dohyun Kim, Yue Cao, Wansu Lim, "Pruned and Quantized Hybrid Models for Edge-Based Automatic Modulation Recognition, IEEE Internet of Things Journal, Early access, (10.1109/JIOT.2026.3686512)

[5] Doh Yon Kim, Jiwon Kang, Chul-Ho Lee, Wansu Lim, "UAV-NAS: UAV Identification on FPGAs via Neural Architecture Search, IEEE Transactions on Industrial Informatics, Accepted, (10.1109/TII.2026.3685163)

2025

[1] Henar Mike O. Canilang, Wansu Lim, "Ultracapacitor Management System for IoT-based Streetlight Application, Journal of Energy Storage, Aug. 2025, (10.1016/j.est.2025.118054)

[2] Henar Mike O. Canilang, Wansu Lim, "Novel Battery Management Systems: Enhancing Flexibility and Fault Tolerance, Journal of Energy Storage, Jan. 2025, (10.1016/j.est.2024.114898)

2024

[1] Ga-Young Choi, Jong-Gyu Shin, Ji-Yoon Lee, Jun-Seok Lee, In-Seok Heo, Ha-Yung Yoon, Wansu Lim, Jin-Woo Jeong, Sang-Ho Kim and Han-Jeong Hwang​, "EEG Dataset for the Recognition of Different Emotions Naturally Induced in Voice-User Interaction, Scientific Data, Oct. 2024, (10.1038/s41597-024-03887-9)

[2] Henar Mike O. Canilang, Angela C. Caliwag, James Rigor C. Camacho, Wansu Lim, Martin Maier, "Edge TMS: Optimized Real-Time Temperature Monitoring Systems deployed on Edge AI Devices, IEEE Internet of Things Journal, Jan. 2024, (10.1109/JIOT.2023.3292744)

2023

[1] Erick C. Valverde, Paul P. Oroceo, Angela C. Caliwag, M. Adib Kamali, Wansu Lim, Martin Maier, "Edge-Oriented Social Distance Monitoring System Based on MTCNN, IEEE Transactions on Industrial Informatics, Aug. 2023, (10.1109/TII.2022.3217499)

[2] Yun-Sung Lee, Ga-Young Choi, Miseon Shim, Sangho Kim, Wansu Lim, Jin-Woo Jeong, Young-Jin Jung, and Han-Jeong Hwang, "Neuromodulatory Feasibility of a Current Limiter-Based tDCS Device: A Resting-State Electroencephalography Study, Biomedical Engineering Letters, Feb. 2023, (10.1007/s13534-023-00269-9)

2022

[1] Henar Canilang, Angela Caliwag, Wansu Lim, "Design, Implementation, and Deployment of Modular Battery Management System for IIoT-Based Applications, IEEE Access, Oct. 2022 (10.1109/ACCESS.2022.3214177) 

[2] Cheska Abarro, Angela Caliwag, Erick Valverde, Wansu Lim, Martin Maier, "Implementation of IoT-Based Low-Delay Smart Streetlight Monitoring System, IEEE Internet of Things Journal, Oct. 2022 (10.1109/JIOT.2022.3160739) 

[3] Henar Canilang, Angela Caliwag, Wansu Lim, "Design of Modular BMS and Real-Time Practical Implementation for Electric Motorcycle Application, IEEE Transactions on Circuits and Systems II: Express Briefs, Feb. 2022 (10.1109/TCSII.2021.3093937) 

2021

[1] Adib M. Kamali, Angela Caliwag, Wansu Lim, "Novel SOH Estimation of Lithium-ion Batteries for Real-Time Embedded Applications, IEEE Embedded systems letters, Dec. 2021 (10.1109/LES.2021.3078443)

[2] Ej Miguel Francisco Caliwag, Angela Caliwag, Hae Chung and Wansu Lim, "Distance Estimation in Thermal Cameras Using Multi-task Cascaded Convolutional Neural Network, IEEE Sensors Journal, Sep. 2021 (10.1109/JSEN.2021.3092382)

[3] Judith Nkechinyere Njoku, M. Eugenio Morocho-Cayamcela, Wansu Lim, “CGDNet: An fficient Hybrid Deep Learning Model for Robust Automatic Modulation Recognition, IEEE Networking Letters, June 2021 (10.1109/LNET.2021.3057637) 

2020

[1] M. Eugenio Morocho-Cayamcela, Martin Maier, Wansu Lim, “Breaking Wireless Propagation Environmental Uncertainty with Deep Learning, IEEE Transactions on Wireless Communications, Aug. 2020 (10.1109/TWC.2020.2986202)

[2] M. Eugenio Morocho-Cayamcela, Haeyoung Lee, Wansu Lim, “Machine Learning to Improve Multi-hop Searching and Extended Wireless Reachability in V2X, IEEE Communications Letters, July 2020 (10.1109/LCOMM.2020.2982887)

2019

[1] M. Eugenio Morocho-Cayamcela, Haeyoung Lee, Wansu Lim, “Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions, IEEE Access, Dec. 2019 (10.1109/ACCESS.2019.2942390)

[2] Pandelis Kourtessis, Wansu Lim, Noemi Merayo, Yeon-Mo Yang, John M. Senior, “Efficient T-CONT-Agnostic Bandwidth and Wavelength Allocation for NG-PON2, IEEE/OSA JOCN, July 2019 (10.1364/JOCN.11.000383)

[3] Angela Cabiao Caliwag, Wansu Lim, “Hybrid VARMA and LSTM Method for Lithium-ion Battery State-of-Charge and Output Voltage Forecasting in Electric Motorcycle Applications, IEEE Access, April 2019 (10.1109/ACCESS.2019.2914188)

1. Vector-Level Pipelining for Efficient Attention Accelerating on Emebedded FPGAs, IEEE IOTJ (under revision)

2. Blind  Channel Coding Recognition via Multi-Scale Signal Representation, IEEE TCOM (under review)

3. EEG-based Sleep Stage Classification via Differentiable Architecture Search and Multi-Level Pruning, EAAI (under review)

4. Constrained-Hypernetwork Personalized Federated Meta-Learning for EEG Vigilance Detection with Efficient Transformer Pruning, IEEE TPAMI (under review)

5. Uncertainty-Based Redeemable Trust Management Scheme for UAV-Assisted VANET in Disaster Rescue, IEEE TNSE (under review)

6. Leaderless Clustered Handover with Markov-based Analysis for Underwater Acoustic Networks, IEEE TWC (under review)

7. Structural Filter Merging for Channel Compression with Limited Data, NeurIPS, in preparation

8. Reinventing the Sacred: Back to the Future of Early-Day Internet Pioneers, ICML-W, in preparation

9. Two-Stage Temporal–Spectral Framework for Robust Arc Detection, in preparation

10. Continual Learning based SOC estimation, in preparation

11. Throughput Aware Pipelined Speculative Decoding for Fast Distributed LLM Inference, in preparation

12. Memory-Efficient LLM Inference on FPGAs via Routing-Aware Mixture-of-Experts, in preparation