Zobrazeno 1 - 10
of 2 342
pro vyhledávání: '"LI Jingwen"'
Autor:
ZHANG Xinhai, DOU Kai, LI Jingwen, CHENG Wangshou, LI Xunguang, ZHU Hui, ZHAO Bin, CHEN Fei, YANG Shaoxiong
Publikováno v:
Meikuang Anquan, Vol 52, Iss 9, Pp 43-47 (2021)
Magnetic anomaly is an important geophysical feature of coal field fires. In order to study the magnetic change law of high-temperature heated rocks and provide effective guidance for the application of magnetic method in the delineation of fire zone
Externí odkaz:
https://doaj.org/article/3e7f8372dceb4852b63a3c81d4d3f2e3
Autor:
Li, Jingwen, Priyadarshi, Debankit, Yang, Chia-Jung, Pohl, Ulli, Stockert, Oliver, von Loehneysen, Hilbert, Pal, Shovon, Fiebig, Manfred, Kroha, Johann
The competition between the Kondo spin-screening effect and the Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction in heavy-fermion systems drives the quantum phase transition between the magnetically ordered and the heavy-Fermi-liquid ground states. D
Externí odkaz:
http://arxiv.org/abs/2408.07345
Autor:
Zhai, Yikui, Zhou, Wenlve, Sun, Bing, Li, Jingwen, Ke, Qirui, Ying, Zilu, Gan, Junying, Mai, Chaoyun, Labati, Ruggero Donida, Piuri, Vincenzo, Scotti, Fabio
In recent years, impressive performance of deep learning technology has been recognized in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). Since a large amount of annotated data is required in this technique, it poses a trenchant c
Externí odkaz:
http://arxiv.org/abs/2408.03627
Autor:
Zhang, Pan, Dong, Xiaoyi, Zang, Yuhang, Cao, Yuhang, Qian, Rui, Chen, Lin, Guo, Qipeng, Duan, Haodong, Wang, Bin, Ouyang, Linke, Zhang, Songyang, Zhang, Wenwei, Li, Yining, Gao, Yang, Sun, Peng, Zhang, Xinyue, Li, Wei, Li, Jingwen, Wang, Wenhai, Yan, Hang, He, Conghui, Zhang, Xingcheng, Chen, Kai, Dai, Jifeng, Qiao, Yu, Lin, Dahua, Wang, Jiaqi
We present InternLM-XComposer-2.5 (IXC-2.5), a versatile large-vision language model that supports long-contextual input and output. IXC-2.5 excels in various text-image comprehension and composition applications, achieving GPT-4V level capabilities
Externí odkaz:
http://arxiv.org/abs/2407.03320
Publikováno v:
SHS Web of Conferences, Vol 163, p 01011 (2023)
The integrated development of the Yangtze River Delta is an important national strategy of China. The new round of scientific and technological revolution and industrial transformation in the world has brought new opportunities and challenges to the
Externí odkaz:
https://doaj.org/article/a8a6a2b1c5c44089b28151ca33d2ff55
Publikováno v:
SHS Web of Conferences, Vol 155, p 01003 (2023)
To explore the difference of social network parameters between the network of passing before scoring and the network of passing before missing the goal, and to explore the correlation between social network parameters and team performance, this paper
Externí odkaz:
https://doaj.org/article/fbe2f1ff6a9448b2b73a5621834824d4
Reversible Data Hiding (RDH) is a practical and efficient technique for information encryption. Among its methods, the Pixel-Value Ordering (PVO) algorithm and its variants primarily modify prediction errors to embed information. However, both the cl
Externí odkaz:
http://arxiv.org/abs/2405.04068
Autor:
Dong, Xiaoyi, Zhang, Pan, Zang, Yuhang, Cao, Yuhang, Wang, Bin, Ouyang, Linke, Zhang, Songyang, Duan, Haodong, Zhang, Wenwei, Li, Yining, Yan, Hang, Gao, Yang, Chen, Zhe, Zhang, Xinyue, Li, Wei, Li, Jingwen, Wang, Wenhai, Chen, Kai, He, Conghui, Zhang, Xingcheng, Dai, Jifeng, Qiao, Yu, Lin, Dahua, Wang, Jiaqi
The Large Vision-Language Model (LVLM) field has seen significant advancements, yet its progression has been hindered by challenges in comprehending fine-grained visual content due to limited resolution. Recent efforts have aimed to enhance the high-
Externí odkaz:
http://arxiv.org/abs/2404.06512
Autor:
Cai, Zheng, Cao, Maosong, Chen, Haojiong, Chen, Kai, Chen, Keyu, Chen, Xin, Chen, Xun, Chen, Zehui, Chen, Zhi, Chu, Pei, Dong, Xiaoyi, Duan, Haodong, Fan, Qi, Fei, Zhaoye, Gao, Yang, Ge, Jiaye, Gu, Chenya, Gu, Yuzhe, Gui, Tao, Guo, Aijia, Guo, Qipeng, He, Conghui, Hu, Yingfan, Huang, Ting, Jiang, Tao, Jiao, Penglong, Jin, Zhenjiang, Lei, Zhikai, Li, Jiaxing, Li, Jingwen, Li, Linyang, Li, Shuaibin, Li, Wei, Li, Yining, Liu, Hongwei, Liu, Jiangning, Hong, Jiawei, Liu, Kaiwen, Liu, Kuikun, Liu, Xiaoran, Lv, Chengqi, Lv, Haijun, Lv, Kai, Ma, Li, Ma, Runyuan, Ma, Zerun, Ning, Wenchang, Ouyang, Linke, Qiu, Jiantao, Qu, Yuan, Shang, Fukai, Shao, Yunfan, Song, Demin, Song, Zifan, Sui, Zhihao, Sun, Peng, Sun, Yu, Tang, Huanze, Wang, Bin, Wang, Guoteng, Wang, Jiaqi, Wang, Jiayu, Wang, Rui, Wang, Yudong, Wang, Ziyi, Wei, Xingjian, Weng, Qizhen, Wu, Fan, Xiong, Yingtong, Xu, Chao, Xu, Ruiliang, Yan, Hang, Yan, Yirong, Yang, Xiaogui, Ye, Haochen, Ying, Huaiyuan, Yu, Jia, Yu, Jing, Zang, Yuhang, Zhang, Chuyu, Zhang, Li, Zhang, Pan, Zhang, Peng, Zhang, Ruijie, Zhang, Shuo, Zhang, Songyang, Zhang, Wenjian, Zhang, Wenwei, Zhang, Xingcheng, Zhang, Xinyue, Zhao, Hui, Zhao, Qian, Zhao, Xiaomeng, Zhou, Fengzhe, Zhou, Zaida, Zhuo, Jingming, Zou, Yicheng, Qiu, Xipeng, Qiao, Yu, Lin, Dahua
The evolution of Large Language Models (LLMs) like ChatGPT and GPT-4 has sparked discussions on the advent of Artificial General Intelligence (AGI). However, replicating such advancements in open-source models has been challenging. This paper introdu
Externí odkaz:
http://arxiv.org/abs/2403.17297
Autor:
Dong, Xiaoyi, Zhang, Pan, Zang, Yuhang, Cao, Yuhang, Wang, Bin, Ouyang, Linke, Wei, Xilin, Zhang, Songyang, Duan, Haodong, Cao, Maosong, Zhang, Wenwei, Li, Yining, Yan, Hang, Gao, Yang, Zhang, Xinyue, Li, Wei, Li, Jingwen, Chen, Kai, He, Conghui, Zhang, Xingcheng, Qiao, Yu, Lin, Dahua, Wang, Jiaqi
We introduce InternLM-XComposer2, a cutting-edge vision-language model excelling in free-form text-image composition and comprehension. This model goes beyond conventional vision-language understanding, adeptly crafting interleaved text-image content
Externí odkaz:
http://arxiv.org/abs/2401.16420