Zobrazeno 1 - 10
of 19 825
pro vyhledávání: '"Wenzhong An"'
Autor:
Wenzhong An, Yibo Sun, Zhenhua Gao, Xiaoye Liu, Qi Guo, Shaokun Sun, Minghui Zhang, Yutong Han, Muhammad Irfan, Lijing Chen, Di Ma
Publikováno v:
Horticulturae, Vol 10, Iss 9, p 926 (2024)
Anthocyanins, constituents of flavonoid compounds prevalent in plants, possess significant value in both plant development and human nutrition. The regulation of anthocyanin biosynthesis primarily involves the orchestration of MYB, bHLH, and WD40 tra
Externí odkaz:
https://doaj.org/article/0aa1f3b987ef4c6e9bfd528dc25605d4
Document-level Event Argument Extraction (EAE) faces two challenges due to increased input length: 1) difficulty in distinguishing semantic boundaries between events, and 2) interference from redundant information. To address these issues, we propose
Externí odkaz:
http://arxiv.org/abs/2411.05895
Autor:
Zhang, Qifan, Hong, Xiaobin, Tang, Jianheng, Chen, Nuo, Li, Yuhan, Li, Wenzhong, Tang, Jing, Li, Jia
Large Language Models (LLMs) have demonstrated strong reasoning abilities, making them suitable for complex tasks such as graph computation. Traditional reasoning steps paradigm for graph problems is hindered by unverifiable steps, limited long-term
Externí odkaz:
http://arxiv.org/abs/2410.19084
We developed a new class of soft locomotive robots that can self-assemble into a preprogrammed configuration and vary their stiffness afterward in a highly integrated, compact body using contracting-cord particle jamming (CCPJ). We demonstrate this w
Externí odkaz:
http://arxiv.org/abs/2410.02974
In this paper, we propose an efficient derivative-free version of a martingale neural network SOC-MartNet proposed in Cai et al. [2] for solving high-dimensional Hamilton-Jacobi-Bellman (HJB) equations and stochastic optimal control problems (SOCPs)
Externí odkaz:
http://arxiv.org/abs/2408.14395
Deepfake detection faces increasing challenges since the fast growth of generative models in developing massive and diverse Deepfake technologies. Recent advances rely on introducing heuristic features from spatial or frequency domains rather than mo
Externí odkaz:
http://arxiv.org/abs/2408.01668
Autor:
Yan, Wenzhong, Jones, Talmage, Jawetz, Christopher L., Lee, Ryan H., Hopkins, Jonathan B., Mehta, Ankur
Publikováno v:
Materials Horizons (2024)
Recent advances in active materials and fabrication techniques have enabled the production of cyclically self-deployable metamaterials with an expanded functionality space. However, designing metamaterials that possess continuously tunable mechanical
Externí odkaz:
http://arxiv.org/abs/2407.06362
Traditional prediction-dependent dispatch methods can face challenges when renewables and prices predictions are unreliable in microgrid. Instead, this paper proposes a novel prediction-free two-stage coordinated dispatch approach in microgrid. Empir
Externí odkaz:
http://arxiv.org/abs/2407.03716
Unsupervised Domain Adaptive Object Detection (DAOD) could adapt a model trained on a source domain to an unlabeled target domain for object detection. Existing unsupervised DAOD methods usually perform feature alignments from the target to the sourc
Externí odkaz:
http://arxiv.org/abs/2407.02835
Fake news detection has received increasing attention from researchers in recent years, especially multi-modal fake news detection containing both text and images. However, many previous works have fed two modal features, text and image, into a binar
Externí odkaz:
http://arxiv.org/abs/2406.19776