Zobrazeno 1 - 10
of 415
pro vyhledávání: '"CHEN Guangyong"'
Autor:
Guo, Xuerong, Ke, Yinan, Xiao, Yifan, Chen, Huaxi, Miao, ChenChen, Wang, Pei, Li, Di, Wang, Han, Jin, Chenwu, He, Ling, Feng, Yi, Zhang, Yongkun, Xu, Jiaying, Chen, Guangyong
Fast Radio Burst (FRB) is an extremely energetic cosmic phenomenon of short duration. Discovered only recently and with yet unknown origin, FRBs have already started to play a significant role in studying the distribution and evolution of matter in t
Externí odkaz:
http://arxiv.org/abs/2411.02859
Autor:
Zhou, Xinyi, Li, Xing, Lian, Yingzhao, Wang, Yiwen, Chen, Lei, Yuan, Mingxuan, Hao, Jianye, Chen, Guangyong, Heng, Pheng Ann
We introduce SeaDAG, a semi-autoregressive diffusion model for conditional generation of Directed Acyclic Graphs (DAGs). Considering their inherent layer-wise structure, we simulate layer-wise autoregressive generation by designing different denoisin
Externí odkaz:
http://arxiv.org/abs/2410.16119
Autor:
Zhou, Donghao, Huang, Jiancheng, Bai, Jinbin, Wang, Jiaze, Chen, Hao, Chen, Guangyong, Hu, Xiaowei, Heng, Pheng-Ann
Recent advancements in text-to-image (T2I) diffusion models have enabled the creation of high-quality images from text prompts, but they still struggle to generate images with precise control over specific visual concepts. Existing approaches can rep
Externí odkaz:
http://arxiv.org/abs/2410.13370
In the realm of drug discovery, DNA-encoded library (DEL) screening technology has emerged as an efficient method for identifying high-affinity compounds. However, DEL screening faces a significant challenge: noise arising from nonspecific interactio
Externí odkaz:
http://arxiv.org/abs/2409.05916
Autor:
Wang, Jiaze, Chen, Hao, Xu, Hongcan, Li, Jinpeng, Wang, Bowen, Shao, Kun, Liu, Furui, Chen, Huaxi, Chen, Guangyong, Heng, Pheng-Ann
Weather forecasting plays a critical role in various sectors, driving decision-making and risk management. However, traditional methods often struggle to capture the complex dynamics of meteorological systems, particularly in the presence of high-res
Externí odkaz:
http://arxiv.org/abs/2405.18849
Autor:
Wang, Jiaze, Wang, Yi, Guo, Ziyu, Zhang, Renrui, Zhou, Donghao, Chen, Guangyong, Liu, Anfeng, Heng, Pheng-Ann
We introduce MM-Mixing, a multi-modal mixing alignment framework for 3D understanding. MM-Mixing applies mixing-based methods to multi-modal data, preserving and optimizing cross-modal connections while enhancing diversity and improving alignment acr
Externí odkaz:
http://arxiv.org/abs/2405.18523
Autor:
Shen, Guibao, Wang, Luozhou, Lin, Jiantao, Ge, Wenhang, Zhang, Chaozhe, Tao, Xin, Zhang, Yuan, Wan, Pengfei, Wang, Zhongyuan, Chen, Guangyong, Li, Yijun, Chen, Ying-Cong
Recent advancements in text-to-image generation have been propelled by the development of diffusion models and multi-modality learning. However, since text is typically represented sequentially in these models, it often falls short in providing accur
Externí odkaz:
http://arxiv.org/abs/2405.15321
Autor:
Jin Chun, Chen Guangyong
Publikováno v:
Dianzi Jishu Yingyong, Vol 44, Iss 3, Pp 112-116 (2018)
The least squares twin support vector machine(LSTSVM) is used for emotion recognition. The penalty coefficients，and kernel function parameter of LSTSVM model are difficult to determine, so the modified firefly algorithm(MFA) is used to select the b
Externí odkaz:
https://doaj.org/article/404d82cffa3c484b84b1c85823f14374
Autor:
Du, Yuyang, Chen, Kexin, Zhan, Yue, Low, Chang Han, You, Tao, Islam, Mobarakol, Guo, Ziyu, Jin, Yueming, Chen, Guangyong, Heng, Pheng-Ann
Visual question answering (VQA) is crucial for promoting surgical education. In practice, the needs of trainees are constantly evolving, such as learning more surgical types, adapting to different robots, and learning new surgical instruments and tec
Externí odkaz:
http://arxiv.org/abs/2402.16664
This paper delves into an in-depth exploration of the Variable Projection (VP) algorithm, a powerful tool for solving separable nonlinear optimization problems across multiple domains, including system identification, image processing, and machine le
Externí odkaz:
http://arxiv.org/abs/2402.13865