Zobrazeno 1 - 10
of 733
pro vyhledávání: '"Li, Huixia"'
Autor:
Ma, Yuexiao, Li, Huixia, Zheng, Xiawu, Ling, Feng, Xiao, Xuefeng, Wang, Rui, Wen, Shilei, Chao, Fei, Ji, Rongrong
The significant resource requirements associated with Large-scale Language Models (LLMs) have generated considerable interest in the development of techniques aimed at compressing and accelerating neural networks. Among these techniques, Post-Trainin
Externí odkaz:
http://arxiv.org/abs/2403.12544
Autor:
Cheng, Jiaxiang, Xie, Pan, Xia, Xin, Li, Jiashi, Wu, Jie, Ren, Yuxi, Li, Huixia, Xiao, Xuefeng, Zheng, Min, Fu, Lean
Recent advancement in text-to-image models (e.g., Stable Diffusion) and corresponding personalized technologies (e.g., DreamBooth and LoRA) enables individuals to generate high-quality and imaginative images. However, they often suffer from limitatio
Externí odkaz:
http://arxiv.org/abs/2403.02084
Autor:
Li, Lijiang, Li, Huixia, Zheng, Xiawu, Wu, Jie, Xiao, Xuefeng, Wang, Rui, Zheng, Min, Pan, Xin, Chao, Fei, Ji, Rongrong
Diffusion models are emerging expressive generative models, in which a large number of time steps (inference steps) are required for a single image generation. To accelerate such tedious process, reducing steps uniformly is considered as an undispute
Externí odkaz:
http://arxiv.org/abs/2309.10438
Autor:
Ma, Yuexiao, Li, Huixia, Zheng, Xiawu, Xiao, Xuefeng, Wang, Rui, Wen, Shilei, Pan, Xin, Chao, Fei, Ji, Rongrong
Post-training quantization (PTQ) is widely regarded as one of the most efficient compression methods practically, benefitting from its data privacy and low computation costs. We argue that an overlooked problem of oscillation is in the PTQ methods. I
Externí odkaz:
http://arxiv.org/abs/2303.11906
We present an event-by-event study of photon production in early stage of high energy nuclear collisions, where the system is dominant by highly occupied of gluons and initialized by McLerran-Venugopalan model. The photons are produced through the gl
Externí odkaz:
http://arxiv.org/abs/2211.16770
Publikováno v:
Redai dili, Vol 44, Iss 3, Pp 520-531 (2024)
With rapid urbanization, the formation of a governance model for spatial stock has become challenging in building a modern governance system. The process of "domainization" in spatial stock constantly affects the biopolitics of different groups durin
Externí odkaz:
https://doaj.org/article/5e09a48f7415406b8391657977dd852f
Autor:
Li, Huixia1 (AUTHOR) lilihuihui12@163.com, Xiao, Juan1 (AUTHOR), Liao, Minghui1 (AUTHOR), Wan, Lijia1 (AUTHOR), Huang, Qun1 (AUTHOR), Feng, Binbin1 (AUTHOR), Peng, Xianglian2 (AUTHOR), Tu, Ying3 (AUTHOR), Huang, Guangwen1 (AUTHOR)
Publikováno v:
Scientific Reports. 6/15/2024, Vol. 14 Issue 1, p1-9. 9p.
Autor:
Li, Jiashi, Xia, Xin, Li, Wei, Li, Huixia, Wang, Xing, Xiao, Xuefeng, Wang, Rui, Zheng, Min, Pan, Xin
Due to the complex attention mechanisms and model design, most existing vision Transformers (ViTs) can not perform as efficiently as convolutional neural networks (CNNs) in realistic industrial deployment scenarios, e.g. TensorRT and CoreML. This pos
Externí odkaz:
http://arxiv.org/abs/2207.05501
Autor:
Wang, Ruochong, Zhou, Rui, Zhou, Jingzhuo, Chen, Juzheng, Li, Huixia, He, Weiwei, Zhang, Wei, Wang, Li, Lu, Yang, Liu, Yong
Publikováno v:
In Additive Manufacturing 5 June 2024 89
Autor:
Tao, Hui, Li, Huizhong, Zhou, Rui, He, Weiwei, Li, Huixia, Che, Yixuan, Li, Ling, Wang, Li, Liang, Xiaopeng
Publikováno v:
In Materials Characterization June 2024 212