Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Xu, Mingkun"'
Autor:
Liu, Xian-Xian, Xu, Mingkun, Wei, Yuanyuan, Qin, Huafeng, Song, Qun, Fong, Simon, Tien, Feng, Luo, Wei, Gao, Juntao, Zhang, Zhihua, Siu, Shirley
Timely and precise classification and segmentation of gastric bleeding in endoscopic imagery are pivotal for the rapid diagnosis and intervention of gastric complications, which is critical in life-saving medical procedures. Traditional methods grapp
Externí odkaz:
http://arxiv.org/abs/2411.14385
Pre-trained models have demonstrated impressive generalization capabilities, yet they remain vulnerable to catastrophic forgetting when incrementally trained on new tasks. Existing architecture-based strategies encounter two primary challenges: 1) In
Externí odkaz:
http://arxiv.org/abs/2410.05899
The Forward-Forward (FF) algorithm was recently proposed as a local learning method to address the limitations of backpropagation (BP), offering biological plausibility along with memory-efficient and highly parallelized computational benefits. Howev
Externí odkaz:
http://arxiv.org/abs/2408.14925
Autor:
Liu, Zhaoyu, Chen, Jingxun, Xu, Mingkun, Gracias, David H., Yong, Ken-Tye, Wei, Yuanyuan, Ho, Ho-Pui
Programmable lipid nanoparticles, or LNPs, represent a breakthrough in the realm of targeted drug delivery, offering precise spatiotemporal control essential for the treatment of complex diseases such as cancer and genetic disorders. In order to prov
Externí odkaz:
http://arxiv.org/abs/2408.05695
Autor:
Xu, Mingkun, Yin, Huifeng, Wu, Yujie, Li, Guoqi, Liu, Faqiang, Pei, Jing, Zhong, Shuai, Deng, Lei
In recent years, spiking neural networks (SNNs) have attracted substantial interest due to their potential to replicate the energy-efficient and event-driven processing of biological neurons. Despite this, the application of SNNs in graph representat
Externí odkaz:
http://arxiv.org/abs/2407.20508
The precise quantification of nucleic acids is pivotal in molecular biology, underscored by the rising prominence of nucleic acid amplification tests (NAAT) in diagnosing infectious diseases and conducting genomic studies. This review examines recent
Externí odkaz:
http://arxiv.org/abs/2407.21080
Graph representation learning has become a crucial task in machine learning and data mining due to its potential for modeling complex structures such as social networks, chemical compounds, and biological systems. Spiking neural networks (SNNs) have
Externí odkaz:
http://arxiv.org/abs/2403.17040
Autor:
Yin, Huifeng, Zheng, Hanle, Mao, Jiayi, Ding, Siyuan, Liu, Xing, Xu, Mingkun, Hu, Yifan, Pei, Jing, Deng, Lei
Spiking neural networks (SNNs), inspired by the neural circuits of the brain, are promising in achieving high computational efficiency with biological fidelity. Nevertheless, it is quite difficult to optimize SNNs because the functional roles of thei
Externí odkaz:
http://arxiv.org/abs/2403.16674
Autor:
Yang, Yifei, Xu, Lujie, Xu, Mingkun, Liu, Huan, Liu, Dameng, Duan, Wenrui, Pei, Jing, Li, Huanglong
The classic three-terminal electronic transistors and the emerging two-terminal ion-based memristors are complementary to each other in various nonconventional information processing systems in a heterogeneous integration approach, such as hybrid CMO
Externí odkaz:
http://arxiv.org/abs/2301.01986
The understanding of neural networks as neuron-synapse binaries has been the foundation of neuroscience, and therefore, the emerging neuromorphic computing technology that takes inspiration from the brain. This dogma, however, has been increasingly c
Externí odkaz:
http://arxiv.org/abs/2212.01277