Beom Jin Kang
According to our database1,
Beom Jin Kang authored at least 7 papers
between 2023 and 2025.
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Bibliography
2025
LRA-QViT: Integrating Low-Rank Approximation and Quantization for Robust and Efficient Vision Transformers.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
2024
Survey of convolutional neural network accelerators on field-programmable gate array platforms: architectures and optimization techniques.
J. Real Time Image Process., May, 2024
A survey of FPGA and ASIC designs for transformer inference acceleration and optimization.
J. Syst. Archit., 2024
Hardware-aware Network Compression for Hybrid Vision Transformer via Low-Rank Approximation.
Proceedings of the 21st International SoC Design Conference, 2024
Mixed Precision Quantization with Hardware-Friendly Activation Functions for Hybrid ViT Models.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024
2023
Proceedings of the 20th International SoC Design Conference, 2023