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Juxin NIU, 牛巨鑫

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20242024

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I am currently a PhD student in the Computer Science Department at City University of Hong Kong, under the supervision of Professor Guan Nan. I earned my Bachelor's degree from Shandong University. My current research focuses on Large Language Models (LLM) for agile hardware development and embedded systems.

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  • Adaptive Checkpointing Method for Intermittent Computing Systems

    Niu, J., Yu, Y., Zhang, W. & Guan, N., 2024, 2024 IEEE 14th International Symposium on Industrial Embedded Systems: (SIES 2024). IEEE, p. 58-64 (IEEE International Symposium on Industrial Embedded Systems, SIES).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

  • Data-Dependent WAR Analysis for Efficient Task-Based Intermittent Computing

    Niu, J., Yu, Y., Zhang, W. & Guan, N., 2024, Dependable Software Engineering. Theories, Tools, and Applications: 10th International Symposium, SETTA 2024, Proceedings. Bourke, T., Chen, L. & Goharshady, A. (eds.). 1 ed. Springer Singapore, p. 85-101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15469 LNCS).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

  • RTiL: Real-Time Inference of Large Language Models on Memory-Constrained GPU Devices

    Niu, J., Zhang, W., Xue, C. J. & Guan, N., 2024, Proceedings - 2024 IEEE 30th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2024. Los Alamitos, Calif.: IEEE, p. 21-30 (Proceedings - IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    1 Citation (Scopus)