Zobrazeno 1 - 10
of 604
pro vyhledávání: '"Li, KaiYuan"'
Autor:
Zhai, Albert J., Wang, Xinlei, Li, Kaiyuan, Jiang, Zhao, Zhou, Junxiong, Wang, Sheng, Jin, Zhenong, Guan, Kaiyu, Wang, Shenlong
The ability to automatically build 3D digital twins of plants from images has countless applications in agriculture, environmental science, robotics, and other fields. However, current 3D reconstruction methods fail to recover complete shapes of plan
Externí odkaz:
http://arxiv.org/abs/2411.09693
Autor:
Zhang, Zhilong, Chen, Ruifeng, Ye, Junyin, Sun, Yihao, Wang, Pengyuan, Pang, Jingcheng, Li, Kaiyuan, Liu, Tianshuo, Lin, Haoxin, Yu, Yang, Zhou, Zhi-Hua
World models play a crucial role in decision-making within embodied environments, enabling cost-free explorations that would otherwise be expensive in the real world. To facilitate effective decision-making, world models must be equipped with strong
Externí odkaz:
http://arxiv.org/abs/2411.05619
Autor:
Wu, Ruitao, Fang, Juncheng, Pan, Rui, Lin, Rongyi, Li, Kaiyuan, Lei, Ting, Du, Luping, Yuan, Xiaocong
Inspired by neural network algorithms in deep learning, diffractive optical networks have arisen as new platforms for manipulating light-matter interactions. Seemly inherited from the deep learning black box nature, clear physical meanings have never
Externí odkaz:
http://arxiv.org/abs/2410.12233
Mobile devices and the Internet of Things (IoT) devices nowadays generate a large amount of heterogeneous spatial-temporal data. It remains a challenging problem to model the spatial-temporal dynamics under privacy concern. Federated learning (FL) ha
Externí odkaz:
http://arxiv.org/abs/2405.13090
Autor:
Pang, Jing-Cheng, Yang, Si-Hang, Li, Kaiyuan, Zhang, Jiaji, Chen, Xiong-Hui, Tang, Nan, Yu, Yang
Reinforcement learning (RL) trains agents to accomplish complex tasks through environmental interaction data, but its capacity is also limited by the scope of the available data. To obtain a knowledgeable agent, a promising approach is to leverage th
Externí odkaz:
http://arxiv.org/abs/2404.09248
Autor:
Feng, Zhichao, Xie, Junjiie, Li, Kaiyuan, Qin, Yu, Wang, Pengfei, Li, Qianzhong, Yin, Bin, Li, Xiang, Lin, Wei, Wang, Shangguang
In the recommender system of Meituan Waimai, we are dealing with ever-lengthening user behavior sequences, which pose an increasing challenge to modeling user preference effectively. Existing sequential recommendation models often fail to capture lon
Externí odkaz:
http://arxiv.org/abs/2403.12566
Maps are fundamental medium to visualize and represent the real word in a simple and 16 philosophical way. The emergence of the 3rd wave information has made a proportion of maps are available to be generated ubiquitously, which would significantly e
Externí odkaz:
http://arxiv.org/abs/2312.08600
Autor:
Pang, Jing-Cheng, Wang, Pengyuan, Li, Kaiyuan, Chen, Xiong-Hui, Xu, Jiacheng, Zhang, Zongzhang, Yu, Yang
Large Language Models (LLMs) have exhibited remarkable performance across various natural language processing (NLP) tasks. However, fine-tuning these models often necessitates substantial supervision, which can be expensive and time-consuming to obta
Externí odkaz:
http://arxiv.org/abs/2305.14483
Autor:
Ye, Zhanwen, Li, Kaiyuan, Fang, Cheng, Wu, Zengjun, Zhou, Ling, Duan, Bo, Li, Guodong, Dong, Lijie, Zhai, Pengcheng
Publikováno v:
In Ceramics International 15 November 2024 50(22) Part A:45843-45850
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation November 2024 134