Zobrazeno 1 - 10
of 10 701
pro vyhledávání: '"Haiquan AN"'
Publikováno v:
ACS Omega, Vol 9, Iss 31, Pp 33606-33615 (2024)
Externí odkaz:
https://doaj.org/article/845f17d1d1a5401a99d5a659b61c6b23
Publikováno v:
Meitan xuebao, Vol 48, Iss 9, Pp 3554-3561 (2023)
The current gasification mechanism model has large residuals under variable working conditions and the model can only simulate one working condition in a single run and cannot be run continuously to characterize the long-cycle operation of gasifier.
Externí odkaz:
https://doaj.org/article/d146323deb9e49a2904bd1a7701ef6e6
The growth of Large Language Models (LLMs) has necessitated large-scale distributed training. Highly optimized frameworks, however, still suffer significant losses in Model FLOPS utilization (often below 50%) due to large communication volumes. Meanw
Externí odkaz:
http://arxiv.org/abs/2411.15871
Delay alignment modulation (DAM) is an innovative broadband modulation technique well suited for millimeter wave (mmWave) and terahertz (THz) massive multiple-input multiple-output (MIMO) communication systems. Leveraging the high spatial resolution
Externí odkaz:
http://arxiv.org/abs/2410.17008
The ability to adapt beliefs or behaviors in response to unexpected outcomes, reflection, is fundamental to intelligent systems' interaction with the world. From a cognitive science perspective, this serves as a core principle of intelligence applica
Externí odkaz:
http://arxiv.org/abs/2410.16270
Complex networks describe important structures in nature and society, composed of nodes and the edges that connect them. The evolution of these networks is typically described by dynamics, which are labor-intensive and require expert knowledge to der
Externí odkaz:
http://arxiv.org/abs/2410.11185
Recent work on pruning large language models (LLMs) has shown that one can eliminate a large number of parameters without compromising performance, making pruning a promising strategy to reduce LLM model size. Existing LLM pruning strategies typicall
Externí odkaz:
http://arxiv.org/abs/2410.10912
Considering the problem of nonlinear and non-gaussian filtering of the graph signal, in this paper, a robust square root unscented Kalman filter based on graph signal processing is proposed. The algorithm uses a graph topology to generate measurement
Externí odkaz:
http://arxiv.org/abs/2409.06981
Visual language navigation (VLN) is one of the important research in embodied AI. It aims to enable an agent to understand the surrounding environment and complete navigation tasks. VLN instructions could be categorized into coarse-grained and fine-g
Externí odkaz:
http://arxiv.org/abs/2408.02535
Class incremental semantic segmentation aims to preserve old knowledge while learning new tasks, however, it is impeded by catastrophic forgetting and background shift issues. Prior works indicate the pivotal importance of initializing new classifier
Externí odkaz:
http://arxiv.org/abs/2407.14142