Publications

● Chia-Hung Lin, Shih-Chun Lin, and Liang C. Chu “A Low-overhead Dynamic Formation Method for LEO Satellite Swarm using Imperfect CSI” accepted by IEEE Transactions on Vehicular Technologies, 2023. (J9)

● Kuan-Fu Chen, Ming-Chun Lee, Chia-Hung Lin, Wan-Chi Yeh, and Ta-Sung Lee, “Multi-fault and Severity Diagnosis for Self-organizing Networks using Deep Supervised Learning and Unsupervised Transfer Learning,” accepted by IEEE Transactions on Wireless Communications, 2023. (J8)

● Shih-Chun Lin, Chia-Hung Lin, Liang C. Chu, and Shao-Yu Lien, “Enabling Resilient Access Equality for 6G LEO Satellite Swarm Networks," IEEE Internet of Things Magazine, vol. 6, no. 3, pp. 38-43, 2023. (J7)

● Shih-Chun Lin, Chia-Hung Lin, and Myungjin Lee, “Privacy-Preserving Serverless Edge Learning with Decentralized Small Data," accepted by IEEE Network Magazine, 2023. (J6)

● Chia-Hung Lin, K V S Rohit, Shih-Chun Lin, and Liang C. Chu, ” 6G-AUTOR: Autonomic Transceiver via Realtime On-Device Signal Analytics ” Journal of Signal Processing Systems, 2023.  (J5)

● Chia-Hsing Yang, Ming-Chun Lee, Chia-Hung Lin, Ta-Sung Lee, " Beam Domain Based Fingerprinting Indoor Localization with Multiple Antenna Systems," in IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), Helsinki, Finland, June 2022. (C12)

● Chia-Hung Lin, Yo-Hui Fang, Hsin-Yuan Chang, Yu-Chien Lin, Wei-Ho Chung, Shih-Chun Lin, and Ta-Sung Lin, " GCN-CNVPS: Novel Method for Cooperative Neighboring Vehicle Positioning System Based on Graph Convolution Network," IEEE Access, Vol. 9, pp. 153429-153441, November 2021.  (J4)

● Chia-Hung Lin, Shih-Chun Lin, Chien-Yuan Wang and Thomas Chase, "A C-V2X Platform Using Transportation Data and Spectrum Aware Slidelink Access," in IEEE International Conference on Systems, Man, and Cybernetics (SMC), Virtual Conference, October 2021. (C11)

● Kuan-Fu Chen, Chia-Hung Lin, Ming-Chun Lee, and Ta-Sung Lee, ” Deep Learning-Based Multi-Fault Diagnosis for Self-Organizing Networks” in IEEE International Conference on Communications (ICC), Virtual Conference, June 2021. (C10)

● Hao-Wei Hsu, Yu-Chien Lin, Ming-Chun Lee, Chia-Hung Lin, and Ta-Sung Lee, ” Deep Learning-Based Range-Doppler Map Reconstruction in Automotive Radar Systems” in IEEE 93th Vehicular Technology Conference (VTC-spring 2021), Virtual Conference, June 2021. (C9)

● Yu-Chien Lin, Meng-Xun Gu, Chia-Hung Lin, and Ta-Sung Lin, " Deep-Learning Based Decentralized Frame-to-Frame Trajectory Prediction Over Binary Range-Angle Maps for Automotive Radars," IEEE Transactions on Vehicular Technology, Vol. 70, no. 7, pp. 6385-6398, May 2021. (J3)

● Chia-Hung Lin, Shih-Chun Lin, and Erik Blasch, "TULVCAN: Terahertz Ultrabroadband Learning Vehicular Channel-Aware Networking," in IEEE International Conference on Computer Communications (INFOCOM) Workshop, Virtual Conference, May 2021.  (C8)

● Chia-Hung Lin, Yen-Ting Lee, Wei-Ho Chung, Shih-Chun Lin, and Ta-Sung Lee, ” Unsupervised ResNet-Inspired Beamforming Design Using Deep Unfolding Technique” in IEEE Global Communications Conference (IEEE GLOBECOM 2020), Taipei, Taiwan, Dec. 2020.  (C7)

● Chia-Hung Lin, Chao-Chin Wu, Kuan-Fu Chen, and Ta-Sung Lee, ” A Variational Autoencoder-Based Secure Transceiver Design Using Deep Learning” in IEEE Global Communications Conference (IEEE GLOBECOM 2020), Taipei, Taiwan, Dec. 2020. (C6)

● Chia-Hung Lin, Yu-Chien Lin, Yen-Jung Wu, Wei-Ho Chung, and Ta-Sung Lee, ” A Survey on Deep Learning-Based Vehicular Communications Applications” Journal of Signal Processing Systems, 2020.  (J2)

● Hsin-Yuan Chang, Chia-Hung Lin, Yu-Chien Lin, Wei-Ho Chung, and Ta-Sung Lee, ”DL-Aided NOMP: a Deep Learning-Based Vital Sign Estimation Scheme Using FMCW Radar” in IEEE 91th Vehicular Technology Conference (VTCspring 2020), Antwerp, Belgium, May 2020. (C5)

● Yun-Han Pan, Chia-Hung Lin, and Ta-Sung Lee, “GAN-CRT: A Novel RangeDoppler Estimation Method Based on Deep Learning in Automotive Radar Systems” in IEEE 91th Vehicular Technology Conference (VTC-spring 2020), Antwerp, Belgium, May 2020.  (C4)

● Yu-Chien Lin, Ta-Sung Lee, and Chia-Hung Lin, ”Interference Avoidance and Cancellation in Automotive OFDM Radar Networks” Journal of Signal Processing Systems, 2020.  (J1)

● Chia-Hung Lin, Chao-Kai Wen, Shi Jin, Wei-Ho Chung, and Ta-Sung Lee, “AsNet: Antenna Selection Learning Network for Mobile Terminal Devices” in IEEE International Conference on Signal, Information and Data Processing (ICSIDP 2019), Chongqing, China, Dec. 2019. (C3) 

● Chia-Hung Lin, Wei-Cheng Kao, Shi-Qing Zhan, and Ta-Sung Lee, “BsNet: a Deep Learning-Based Beam Selection Method for mmWave Communications” in IEEE 90th Vehicular Technology Conference (VTC-fall 2019), Honolulu, Hawaii, USA, Sep. 2019. (C2)

 ● Chia-Hung Lin, Yu-Chien Lin, Yue Bai, Wei-Ho Chung, Ta-Sung Lee, and Heikki Huttunen, “DL-CFAR: a Novel CFAR Target Detection Method Based on Deep Learning” in IEEE 90th Vehicular Technology Conference (VTC-fall 2019), Honolulu, Hawaii, USA, Sep. 2019.  (C1)

Patents

● “Resilient LEO Satellite Swarms for Absolute PNT,” Under review by Lockheed Martin Corp., 2023. 

● “Beam Domain based Localization System and Method and Non-Transitory Computer Readable Medium,” U.S. Patent No. 17/808,102. 

● “System for Synthesizing Signal of User Equipment and Method Thereof,” U.S. Patent No. 11,309,980B2, issued on April 19, 2022. 

● “Multiple Telecommunication Endpoints System and Testing Method Thereof Based on AI Decision,” U.S. Patent No. 17/444,477. 

● “Antenna Performance Evaluation Method,” U.S. Patent No. 10,812,205B1, issued on October 20, 2020. 

Awards

● North Carolina State University Summer Graduate Merit Award (GMA), June 2021.