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pro vyhledávání: '"li, Chen"'
De novo generation of hit-like molecules is a challenging task in the drug discovery process. Most methods in previous studies learn the semantics and syntax of molecular structures by analyzing molecular graphs or simplified molecular input line ent
Externí odkaz:
http://arxiv.org/abs/2412.19422
Autor:
Qiao, Ziheng, Zhou, Houquan, Liu, Yumeng, Li, Zhenghua, Zhang, Min, Zhang, Bo, Li, Chen, Zhang, Ji, Huang, Fei
One key characteristic of the Chinese spelling check (CSC) task is that incorrect characters are usually similar to the correct ones in either phonetics or glyph. To accommodate this, previous works usually leverage confusion sets, which suffer from
Externí odkaz:
http://arxiv.org/abs/2412.12863
Object detection in Unmanned Aerial Vehicle (UAV) images has emerged as a focal area of research, which presents two significant challenges: i) objects are typically small and dense within vast images; ii) computational resource constraints render mo
Externí odkaz:
http://arxiv.org/abs/2412.10040
Autor:
Labiosa, Adam, Wang, Zhihan, Agarwal, Siddhant, Cong, William, Hemkumar, Geethika, Harish, Abhinav Narayan, Hong, Benjamin, Kelle, Josh, Li, Chen, Li, Yuhao, Shao, Zisen, Stone, Peter, Hanna, Josiah P.
Robot decision-making in partially observable, real-time, dynamic, and multi-agent environments remains a difficult and unsolved challenge. Model-free reinforcement learning (RL) is a promising approach to learning decision-making in such domains, ho
Externí odkaz:
http://arxiv.org/abs/2412.09417
Autor:
Wei, Fansu, Lai, Chi-Kin, Chen, Yuying, Zhang, Zhengxi, Liang, Yun, Shui, Hongmian, Li, Chen, Zhou, Xiaoji
The excited bands in optical lattices manifest an important tool for studying quantum simulation and many-body physics, making it crucial to measure high-band scattering dynamics under strong interactions. This work investigates both experimentally a
Externí odkaz:
http://arxiv.org/abs/2412.07496
Topological charges are typically manipulated by managing their energy bands in quantum systems. In this work, we propose a new approach to manipulate the topological charges of systems by engineering density zeros of localized wave excitations in th
Externí odkaz:
http://arxiv.org/abs/2412.07101
Video-to-music generation presents significant potential in video production, requiring the generated music to be both semantically and rhythmically aligned with the video. Achieving this alignment demands advanced music generation capabilities, soph
Externí odkaz:
http://arxiv.org/abs/2412.06296
Autor:
Xu, Meilong, Gupta, Saumya, Hu, Xiaoling, Li, Chen, Abousamra, Shahira, Samaras, Dimitris, Prasanna, Prateek, Chen, Chao
Accurately modeling multi-class cell topology is crucial in digital pathology, as it provides critical insights into tissue structure and pathology. The synthetic generation of cell topology enables realistic simulations of complex tissue environment
Externí odkaz:
http://arxiv.org/abs/2412.06011
Autor:
Li, Chen, Rajendran, Bipin.
We present Noise Adaptor, a novel method for constructing competitive low-latency spiking neural networks (SNNs) by converting noise-injected, low-bit artificial neural networks (ANNs). This approach builds on existing ANN-to-SNN conversion technique
Externí odkaz:
http://arxiv.org/abs/2411.17431