세포화학동력학 창의연구단

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세포화학동력학 창의연구단

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전체 2,320건 중 1번부터 10번까지의 결과를 표시합니다.

2026

Article

Design and implementation of a fast and predictable SSD liveness watchdog for storage systems

Article

Domain-generalizable face anti-spoofing with patch-based multi-tasking and artifact pattern conversion

Article

Design and implementation of zoned namespace-tailored log-structured file system for commodity ZNS SSDs

Article

Active forgetting with selective labeling for multi-task learning

Article

Randomized tensor-train truncation on GPUs for quantum-inspired computational fluid dynamics

Article

Optimized layerwise approximation for efficient private inference on fully homomorphic encryption

Article

Effective audio-visual event localization using CLIP-based global context regulation for mitigating event overconfidence

Article

Understanding citation intents by generative intent model based on heterogeneous graph neural network

Article

Computation offloading in collaborative computing systems: A comprehensive survey on methods, challenges, and future directions

Article

Conversational recommender systems with large language models: A review of current developments

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Design and implementation of a fast and predictable SSD liveness watchdog for storage systems

Domain-generalizable face anti-spoofing with patch-based multi-tasking and artifact pattern conversion

Design and implementation of zoned namespace-tailored log-structured file system for commodity ZNS SSDs

Active forgetting with selective labeling for multi-task learning

Randomized tensor-train truncation on GPUs for quantum-inspired computational fluid dynamics

Optimized layerwise approximation for efficient private inference on fully homomorphic encryption

Effective audio-visual event localization using CLIP-based global context regulation for mitigating event overconfidence

Understanding citation intents by generative intent model based on heterogeneous graph neural network

Computation offloading in collaborative computing systems: A comprehensive survey on methods, challenges, and future directions

Conversational recommender systems with large language models: A review of current developments