Zobrazeno 1 - 10
of 5 811
pro vyhledávání: '"SHAO Jie"'
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 1758-1769 (2023)
The induction of ferroptosis is suggested to be a potential therapeutic strategy for cancers. MicroRNAs (miRNAs) are reported to play an important role in cell death processes. This study aims to construct and validate a risk model based on ferroptos
Externí odkaz:
https://doaj.org/article/4139b33b45644ffea94463283e975e30
Publikováno v:
Open Life Sciences, Vol 18, Iss 1, Pp e4587-45 (2023)
Infectious diseases caused by Aeromonas hydrophila (AH) have reduced the populations of Rana dybowskii). However, little is known about the immune response of R. dybowskii against AH infections. The toll-like receptor (TLR) signaling pathway has been
Externí odkaz:
https://doaj.org/article/b06d2045114645bfb19edc3ea041ac40
Publikováno v:
Frontiers of Computer Science, 2025:19(8)
Semi-supervised learning (SSL) aims to improve performance by exploiting unlabeled data when labels are scarce. Conventional SSL studies typically assume close environments where important factors (e.g., label, feature, distribution) between labeled
Externí odkaz:
http://arxiv.org/abs/2412.18256
Autor:
Shao, Jie-Jing, Yang, Xiao-Wen, Zhang, Bo-Wen, Chen, Baizhi, Wei, Wen-Da, Cai, Guohao, Dong, Zhenhua, Guo, Lan-Zhe, Li, Yu-feng
Recent advances in LLMs, particularly in language reasoning and tool integration, have rapidly sparked the real-world development of Language Agents. Among these, travel planning represents a prominent domain, combining academic challenges with pract
Externí odkaz:
http://arxiv.org/abs/2412.13682
Autor:
Li, Hao, Tian, Changyao, Shao, Jie, Zhu, Xizhou, Wang, Zhaokai, Zhu, Jinguo, Dou, Wenhan, Wang, Xiaogang, Li, Hongsheng, Lu, Lewei, Dai, Jifeng
The remarkable success of Large Language Models (LLMs) has extended to the multimodal domain, achieving outstanding performance in image understanding and generation. Recent efforts to develop unified Multimodal Large Language Models (MLLMs) that int
Externí odkaz:
http://arxiv.org/abs/2412.09604
Autor:
Zhang, Hui, Hong, Dexiang, Gao, Tingwei, Wang, Yitong, Shao, Jie, Wu, Xinglong, Wu, Zuxuan, Jiang, Yu-Gang
Diffusion models have been recognized for their ability to generate images that are not only visually appealing but also of high artistic quality. As a result, Layout-to-Image (L2I) generation has been proposed to leverage region-specific positions a
Externí odkaz:
http://arxiv.org/abs/2412.03859
Limit order book (LOB) is a dynamic, event-driven system that records real-time market demand and supply for a financial asset in a stream flow. Event stream prediction in LOB refers to forecasting both the timing and the type of events. The challeng
Externí odkaz:
http://arxiv.org/abs/2412.09631
Recent learning-to-imitation methods have shown promising results in planning via imitating within the observation-action space. However, their ability in open environments remains constrained, particularly in long-horizon tasks. In contrast, traditi
Externí odkaz:
http://arxiv.org/abs/2411.18201
Deep neural networks, while achieving remarkable success across diverse tasks, demand significant resources, including computation, GPU memory, bandwidth, storage, and energy. Network quantization, as a standard compression and acceleration technique
Externí odkaz:
http://arxiv.org/abs/2411.13918
In this work, we explore the quantization of diffusion models in extreme compression regimes to reduce model size while maintaining performance. We begin by investigating classical vector quantization but find that diffusion models are particularly s
Externí odkaz:
http://arxiv.org/abs/2411.12306