Yan Huang
Harbin Institute of Technology
398 Papers
203 Citations
Yan Huang is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 48, co-authored 96 publications. Previous affiliations of Yan Huang include City University of Hong Kong.
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Papers
The homeostasis of R protein RPS2 is negatively regulated by the RING-type E3 ligase MUSE16.
Yan Huang,Junhao Li,Tingting Huang,Xue Bai,Qi Li,Yi-Qing Gong,Ryan Hoy,Zhouqing He,Jing Liu,Jinqiu Liao,Mingming Yuan,Chunbang Ding,Xin LiX. Li,Yini Cai +13 more
TL;DR: In this paper , MUSE16, which encodes a RING-type E3 ligase, was isolated from a forward genetic screen and suggested to be a negative regulator of plant immunity.
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Improving Word Alignment by Adding Gromov-Wasserstein into Attention Neural Network
TL;DR: This paper addresses the problem of introducing word alignment for language pairs by developing a novel neural network model that can applied to other generative alignment models and uses Multi-layer attention model and multi-layer model with multi-head-attention mechanism on each layer provides superior translation quality.
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Optimizing the evaluation of ℓ-isogenous curve for isogeny-based cryptography
TL;DR: In this article , the authors proposed an algorithm to evaluate the ℓ-isogenous curve in supersingular isogeny Diffie-Hellman (SIDH) with three differential isogenous points in advance.
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A near-infrared fluorescent probe was used to evaluate the role of histone deacetylase in pulmonary fibrosis cells and mice
TL;DR: In this article , the authors proposed Cy-HDAC, which is a HDACs fluorescent probe, which can be used to detect real-time fluctuations in HDAC activity in cells and mouse models.
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Enhancing Adults' Online Course Learning Behavior Performance through Live Class in Distance and Open Education: Learning Analysis Based on a Course
Feng Shu,Chengling Zhao,Qing-Tang Liu,Hongxia Li,Yan Huang +4 more
- 13 Jul 2022
TL;DR: Wang et al. as discussed by the authors examined the impact of synchronous live class on online course learning behavior from the perspective of learning data analysis to offer insight to further guide the integrated learning design and implementation of adult learners' synchronous and asynchronous learning.
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