Zobrazeno 1 - 10
of 489
pro vyhledávání: '"Lu, Zhichao"'
Autor:
Shen, Shuaijie, Zhang, Rui, Wang, Chao, Huang, Renzhuo, Tuerhong, Aiersi, Guo, Qinghai, Lu, Zhichao, Zhang, Jianguo, Leng, Luziwei
Publikováno v:
J Membr Comput (2024)
Spiking neural networks (SNNs) are gaining increasing attention as potential computationally efficient alternatives to traditional artificial neural networks(ANNs). However, the unique information propagation mechanisms and the complexity of SNN neur
Externí odkaz:
http://arxiv.org/abs/2406.12552
Anomaly synthesis is one of the effective methods to augment abnormal samples for training. However, current anomaly synthesis methods predominantly rely on texture information as input, which limits the fidelity of synthesized abnormal samples. Beca
Externí odkaz:
http://arxiv.org/abs/2404.19444
Transformer recently emerged as the de facto model for computer vision tasks and has also been successfully applied to shadow removal. However, these existing methods heavily rely on intricate modifications to the attention mechanisms within the tran
Externí odkaz:
http://arxiv.org/abs/2404.18433
As one of the emerging challenges in Automated Machine Learning, the Hardware-aware Neural Architecture Search (HW-NAS) tasks can be treated as black-box multi-objective optimization problems (MOPs). An important application of HW-NAS is real-time se
Externí odkaz:
http://arxiv.org/abs/2404.16266
Autor:
Liu, Fei, Tong, Xialiang, Yuan, Mingxuan, Lin, Xi, Luo, Fu, Wang, Zhenkun, Lu, Zhichao, Zhang, Qingfu
Heuristics are widely used for dealing with complex search and optimization problems. However, manual design of heuristics can be often very labour extensive and requires rich working experience and knowledge. This paper proposes Evolution of Heurist
Externí odkaz:
http://arxiv.org/abs/2401.02051
Autor:
Lu, Zhichao, Ding, Chuntao, Wang, Shangguang, Cheng, Ran, Juefei-Xu, Felix, Boddeti, Vishnu Naresh
Deploying high-performance convolutional neural network (CNN) models on low-earth orbit (LEO) satellites for rapid remote sensing image processing has attracted significant interest from industry and academia. However, the limited resources available
Externí odkaz:
http://arxiv.org/abs/2308.06515
Multi-task learning (MTL) seeks to learn a single model to accomplish multiple tasks by leveraging shared information among the tasks. Existing MTL models, however, have been known to suffer from negative interference among tasks. Efforts to mitigate
Externí odkaz:
http://arxiv.org/abs/2308.02066
Publikováno v:
Communications Materials, Vol 5, Iss 1, Pp 1-19 (2024)
Abstract High-entropy alloys (HEAs) have attracted extensive attention in recent decades due to their unique chemical, physical, and mechanical properties. An in-depth understanding of the structure–property relationship in HEAs is the key to the d
Externí odkaz:
https://doaj.org/article/d177d3c5e68040eaa01913b52902216c
Autor:
Lu, Zhichao, Ding, Chuntao, Juefei-Xu, Felix, Boddeti, Vishnu Naresh, Wang, Shangguang, Yang, Yun
Deploying high-performance vision transformer (ViT) models on ubiquitous Internet of Things (IoT) devices to provide high-quality vision services will revolutionize the way we live, work, and interact with the world. Due to the contradiction between
Externí odkaz:
http://arxiv.org/abs/2302.07734
Efforts to improve the adversarial robustness of convolutional neural networks have primarily focused on developing more effective adversarial training methods. In contrast, little attention was devoted to analyzing the role of architectural elements
Externí odkaz:
http://arxiv.org/abs/2212.11005