Zobrazeno 1 - 10
of 283
pro vyhledávání: '"Xu, Ruijie"'
Autor:
Huang, Zhen, Wang, Zengzhi, Xia, Shijie, Li, Xuefeng, Zou, Haoyang, Xu, Ruijie, Fan, Run-Ze, Ye, Lyumanshan, Chern, Ethan, Ye, Yixin, Zhang, Yikai, Yang, Yuqing, Wu, Ting, Wang, Binjie, Sun, Shichao, Xiao, Yang, Li, Yiyuan, Zhou, Fan, Chern, Steffi, Qin, Yiwei, Ma, Yan, Su, Jiadi, Liu, Yixiu, Zheng, Yuxiang, Zhang, Shaoting, Lin, Dahua, Qiao, Yu, Liu, Pengfei
The evolution of Artificial Intelligence (AI) has been significantly accelerated by advancements in Large Language Models (LLMs) and Large Multimodal Models (LMMs), gradually showcasing potential cognitive reasoning abilities in problem-solving and s
Externí odkaz:
http://arxiv.org/abs/2406.12753
Amid the expanding use of pre-training data, the phenomenon of benchmark dataset leakage has become increasingly prominent, exacerbated by opaque training processes and the often undisclosed inclusion of supervised data in contemporary Large Language
Externí odkaz:
http://arxiv.org/abs/2404.18824
Autor:
Xu, Ruijie
Enumeration of quarter-plane lattice walks with small steps is a classical problem in combinatorics. An effective approach is the kernel method and the solution is derived by positive term extraction. Another approach is to reduce the lattice walk pr
Externí odkaz:
http://arxiv.org/abs/2308.11960
While the novel class discovery has recently made great progress, existing methods typically focus on improving algorithms on class-balanced benchmarks. However, in real-world recognition tasks, the class distributions of their corresponding datasets
Externí odkaz:
http://arxiv.org/abs/2308.02989
We tackle the problem of novel class discovery, which aims to learn novel classes without supervision based on labeled data from known classes. A key challenge lies in transferring the knowledge in the known-class data to the learning of novel classe
Externí odkaz:
http://arxiv.org/abs/2307.09158
We tackle the novel class discovery problem, aiming to discover novel classes in unlabeled data based on labeled data from seen classes. The main challenge is to transfer knowledge contained in the seen classes to unseen ones. Previous methods mostly
Externí odkaz:
http://arxiv.org/abs/2206.12063
Autor:
Zheng, Xuqi, Yi, Bingcheng, Zhou, Qihui, Xu, Ruijie, Liu, Xueqian, Sung, Ho-Kun, Chernogor, Leonid, Cao, Minghui, Yao, Zhao, Li, Yang, Li, Yuanyue
Publikováno v:
In Nano Energy July 2024 126
Publikováno v:
In Pattern Recognition July 2024 151
Autor:
Yu, Huixin, Wang, Qingzhou, Xu, Ruijie, Sun, Tao, Zhou, Qihui, Dhakal, Rajendra, Chernogor, Leonid, Zhang, Dongjie, Li, Yuanyue, Li, Yang, Yao, Zhao
Publikováno v:
In Chemical Engineering Journal 15 June 2024 490
Background:Gene regulations often change over time rather than being constant. But many of gene regulatory networks extracted from databases are static. The tumor suppressor gene $P53$ is involved in the pathogenesis of many tumors, and its inhibitio
Externí odkaz:
http://arxiv.org/abs/2111.00287