Zobrazeno 1 - 10
of 46 364
pro vyhledávání: '"LI, HAO"'
Autor:
Zhou, Hang, Sun, Kexin, Lu, Zhenna, Li, Hao, Ai, Xiaocong, Zhang, Jin, Huang, Xingtao, Liu, Jianbei
The proposed Super Tau-Charm Facility (STCF) is an electron-positron collider designed to operate in a center-of-mass energy range from 2 to 7 GeV. It provides a unique platform for physics research in the tau-charm energy region. To fulfill the phys
Externí odkaz:
http://arxiv.org/abs/2412.14687
Object detection is a critical task in computer vision, with applications in various domains such as autonomous driving and urban scene monitoring. However, deep learning-based approaches often demand large volumes of annotated data, which are costly
Externí odkaz:
http://arxiv.org/abs/2412.13815
Autor:
Xin, Lei, Huang, Caiyun, Li, Hao, Huang, Shihong, Feng, Yuling, Kong, Zhenglun, Liu, Zicheng, Li, Siyuan, Yu, Chang, Shen, Fei, Tang, Hao
With the rapid development of high-throughput sequencing platforms, an increasing number of omics technologies, such as genomics, metabolomics, and transcriptomics, are being applied to disease genetics research. However, biological data often exhibi
Externí odkaz:
http://arxiv.org/abs/2412.12668
Connectionist Temporal Classification (CTC), a non-autoregressive training criterion, is widely used in online keyword spotting (KWS). However, existing CTC-based KWS decoding strategies either rely on Automatic Speech Recognition (ASR), which perfor
Externí odkaz:
http://arxiv.org/abs/2412.12635
In recent years, there has been a growing interest in designing small-footprint yet effective Connectionist Temporal Classification based keyword spotting (CTC-KWS) systems. They are typically deployed on low-resource computing platforms, where limit
Externí odkaz:
http://arxiv.org/abs/2412.12614
Autor:
Xue, Xiaotian, Xu, Yingdong, Ding, Wenjun, Ye, Rui, Qiu, Jing, Li, Guangzhen, Liu, Shijie, Li, Hao, Yuan, Luqi, Wang, Bo, Zheng, Yuanlin, Chen, Xianfeng
High-speed photonic integrated circuits leveraging the thin-film lithium niobate (TFLN) platform present a promising approach to address the burgeoning global data traffic demands. As a pivotal component, TFLN-based electro-optic (EO) Mach-Zehnder mo
Externí odkaz:
http://arxiv.org/abs/2412.12556
Autor:
Li, Hao, Lal, Shamit, Li, Zhiheng, Xie, Yusheng, Wang, Ying, Zou, Yang, Majumder, Orchid, Manmatha, R., Tu, Zhuowen, Ermon, Stefano, Soatto, Stefano, Swaminathan, Ashwin
We empirically study the scaling properties of various Diffusion Transformers (DiTs) for text-to-image generation by performing extensive and rigorous ablations, including training scaled DiTs ranging from 0.3B upto 8B parameters on datasets up to 60
Externí odkaz:
http://arxiv.org/abs/2412.12391
Autor:
Liu, Dongning, Jin, Zhanping, Liu, Jingyuan, Zou, Xiaotong, Ren, Xiaosong, Li, Hao, You, Lixing, Feng, Xue, Liu, Fang, Cui, Kaiyu, Huang, Yidong, Zhang, Wei
Quantum teleportation is a crucial function in quantum networks. The implementation of photonic quantum teleportation could be highly simplified by quantum photonic circuits. To extend chip-to-chip teleportation distance, more effort is needed on bot
Externí odkaz:
http://arxiv.org/abs/2412.10750
Autor:
Li, Hao, Tian, Changyao, Shao, Jie, Zhu, Xizhou, Wang, Zhaokai, Zhu, Jinguo, Dou, Wenhan, Wang, Xiaogang, Li, Hongsheng, Lu, Lewei, Dai, Jifeng
The remarkable success of Large Language Models (LLMs) has extended to the multimodal domain, achieving outstanding performance in image understanding and generation. Recent efforts to develop unified Multimodal Large Language Models (MLLMs) that int
Externí odkaz:
http://arxiv.org/abs/2412.09604
Tractor-trailer wheeled robots need to perform comprehensive perception tasks to enhance their operations in areas such as logistics parks and long-haul transportation. The perception of these robots face three major challenges: the relative pose cha
Externí odkaz:
http://arxiv.org/abs/2412.07154