Xumeng Zhang
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Explore the profile of Xumeng Zhang including associated specialties, affiliations and a list of published articles.
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Articles
59
Citations
480
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Recent Articles
1.
Zhang L, Huang Z, Luo M, Wu Z, Zhang X, Chen J, et al.
Poult Sci
. 2025 Feb;
104(3):104892.
PMID: 39965273
Copy number variation (CNV) is an important type of genetic variations contributing to phenotypic differences in animals and may serve as an alternative molecular marker to single nucleotide polymorphism (SNP)...
2.
Xiao Y, Liu Y, Zhang B, Chen P, Zhu H, He E, et al.
Sci Adv
. 2025 Feb;
11(6):eadr6733.
PMID: 39908388
Biological neurons use diverse temporal expressions of spikes to achieve efficient communication and modulation of neural activities. Nonetheless, existing neuromorphic computing systems mainly use simplified neuron models with limited spiking...
3.
Wang S, Gao Y, Li Y, Zhang W, Yu Y, Wang B, et al.
Nat Commun
. 2025 Jan;
16(1):960.
PMID: 39843465
Visual sensors, including 3D light detection and ranging, neuromorphic dynamic vision sensor, and conventional frame cameras, are increasingly integrated into edge-side intelligent machines. However, their data are heterogeneous, causing complexity...
4.
Shi T, Gao L, Tian Y, Tang S, Liu J, Li Y, et al.
Nat Commun
. 2025 Jan;
16(1):913.
PMID: 39837872
Inspired by biological processes, feature learning techniques, such as deep learning, have achieved great success in various fields. However, since biological organs may operate differently from semiconductor devices, deep models...
5.
Lin N, Wang S, Li Y, Wang B, Shi S, He Y, et al.
Nat Comput Sci
. 2025 Jan;
5(1):37-47.
PMID: 39789264
The human brain is a complex spiking neural network (SNN) capable of learning multimodal signals in a zero-shot manner by generalizing existing knowledge. Remarkably, it maintains minimal power consumption through...
6.
Pei Y, Yang B, Zhang X, He H, Sun Y, Zhao J, et al.
Nat Commun
. 2025 Jan;
16(1):48.
PMID: 39746986
Neuromorphic computing holds immense promise for developing highly efficient computational approaches. Memristor-based artificial neurons, known for due to their straightforward structure, high energy efficiency, and superior scalability, which enable them...
7.
Nan Y, Bai Y, Hu X, Zhou K, Wu T, Zhu A, et al.
J Immunother Cancer
. 2024 Sep;
12(9).
PMID: 39231544
Background: The main challenge against patients with cancer to derive benefits from immune checkpoint inhibitors targeting PD-1/PD-L1 appears to be the immunosuppressive tumor microenvironment (TME), in which IL-33/ST2 signal fulfills...
8.
Zhang Y, Zhang W, Wang S, Lin N, Yu Y, He Y, et al.
Sci Adv
. 2024 Aug;
10(33):eado1058.
PMID: 39141720
The brain is dynamic, associative, and efficient. It reconfigures by associating the inputs with past experiences, with fused memory and processing. In contrast, AI models are static, unable to associate...
9.
Cao Y, Zhang Z, Qin B, Sang W, Li H, Wang T, et al.
ACS Nano
. 2024 Aug;
18(34):23265-23276.
PMID: 39140427
Acoustic keyword spotting (KWS) plays a pivotal role in the voice-activated systems of artificial intelligence (AI), allowing for hands-free interactions between humans and smart devices through information retrieval of the...
10.
Su D, Shu P, Hu N, Chen Y, Wu Y, Deng H, et al.
New Phytol
. 2024 Jul;
243(6):2265-2278.
PMID: 39056285
Kiwifruit ripening is a complex and highly coordinated process that occurs in conjunction with the formation of fruit edible quality. The significance of epigenetic changes, particularly the impact of N6-methyladenosine...