Zobrazeno 1 - 10
of 249
pro vyhledávání: '"Deng, Yafeng"'
Autor:
Wang, Jike, Feng, Jianwen, Kang, Yu, Pan, Peichen, Ge, Jingxuan, Wang, Yan, Wang, Mingyang, Wu, Zhenxing, Zhang, Xingcai, Yu, Jiameng, Zhang, Xujun, Wang, Tianyue, Wen, Lirong, Yan, Guangning, Deng, Yafeng, Shi, Hui, Hsieh, Chang-Yu, Jiang, Zhihui, Hou, Tingjun
We propose AMP-Designer, an LLM-based foundation model approach for the rapid design of novel antimicrobial peptides (AMPs) with multiple desired properties. Within 11 days, AMP-Designer enables de novo design of 18 novel candidates with broad-spectr
Externí odkaz:
http://arxiv.org/abs/2407.12296
Autor:
Liu, Lijun, Yang, Jiali, Song, Jianfei, Yang, Xinglin, Niu, Lele, Cai, Zeqi, Shi, Hui, Hou, Tingjun, Hsieh, Chang-yu, Shen, Weiran, Deng, Yafeng
Recombinant adeno-associated virus (rAAV) vectors have revolutionized gene therapy, but their broad tropism and suboptimal transduction efficiency limit their clinical applications. To overcome these limitations, researchers have focused on designing
Externí odkaz:
http://arxiv.org/abs/2404.10573
Infinite Physical Monkey: Do Deep Learning Methods Really Perform Better in Conformation Generation?
Conformation Generation is a fundamental problem in drug discovery and cheminformatics. And organic molecule conformation generation, particularly in vacuum and protein pocket environments, is most relevant to drug design. Recently, with the developm
Externí odkaz:
http://arxiv.org/abs/2304.10494
Masked image modeling (MIM) has shown great promise for self-supervised learning (SSL) yet been criticized for learning inefficiency. We believe the insufficient utilization of training signals should be responsible. To alleviate this issue, we intro
Externí odkaz:
http://arxiv.org/abs/2301.00230
Translation-based knowledge graph embedding has been one of the most important branches for knowledge representation learning since TransE came out. Although many translation-based approaches have achieved some progress in recent years, the performan
Externí odkaz:
http://arxiv.org/abs/2209.08271
Conventional representation learning algorithms for knowledge graphs (KG) map each entity to a unique embedding vector, ignoring the rich information contained in the neighborhood. We propose a method named StarGraph, which gives a novel way to utili
Externí odkaz:
http://arxiv.org/abs/2205.14209
Autor:
Xie, Chunyu, Cai, Heng, Li, Jincheng, Kong, Fanjing, Wu, Xiaoyu, Song, Jianfei, Morimitsu, Henrique, Yao, Lin, Wang, Dexin, Zhang, Xiangzheng, Leng, Dawei, Zhang, Baochang, Ji, Xiangyang, Deng, Yafeng
Publikováno v:
Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2023, Pages 4219-4227
Vision-language pre-training (VLP) on large-scale datasets has shown premier performance on various downstream tasks. In contrast to plenty of available benchmarks with English corpus, large-scale pre-training datasets and downstream datasets with Ch
Externí odkaz:
http://arxiv.org/abs/2205.03860
Historically lower-level tasks such as automatic speech recognition (ASR) and speaker identification are the main focus in the speech field. Interest has been growing in higher-level spoken language understanding (SLU) tasks recently, like sentiment
Externí odkaz:
http://arxiv.org/abs/2204.10461
Publikováno v:
In Journal of Environmental Chemical Engineering October 2024 12(5)
Autor:
Zhao, Jian, Wang, Gang, Li, Jianan, Jin, Lei, Fan, Nana, Wang, Min, Wang, Xiaojuan, Yong, Ting, Deng, Yafeng, Guo, Yandong, Ge, Shiming, Guo, Guodong
The 2nd Anti-UAV Workshop \& Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking. The Anti-UAV dataset used for the Anti-UAV Challenge has been publicly released. There are two subsets in the
Externí odkaz:
http://arxiv.org/abs/2108.09909