no code implementations • 1 Apr 2024 • Yuemei Xu, Ling Hu, Jiayi Zhao, Zihan Qiu, Yuqi Ye, Hanwen Gu
Based on the foundation of Large Language Models (LLMs), Multilingual Large Language Models (MLLMs) have been developed to address the challenges of multilingual natural language processing tasks, hoping to achieve knowledge transfer from high-resource to low-resource languages.
no code implementations • 6 Feb 2024 • Feifan Luo, Qingsong Li, Ling Hu, Xinru Liu, Haojun Xu, Haibo Wang, Ting Li, Shengjun Liu
We propose a novel constraint called Multiple Spectral filter Operators Preservation (MSFOR) to compute functional maps and based on it, develop an efficient deep functional map architecture called Deep MSFOP for shape matching.
no code implementations • CVPR 2021 • Ling Hu, Qinsong Li, Shengjun Liu, Xinru Liu
The functional map framework has proven to be extremely effective for representing dense correspondences between deformable shapes.
no code implementations • 8 Aug 2018 • Ling Hu, Shu-Hao Wu, Weizhou Cai, Yuwei Ma, Xianghao Mu, Yuan Xu, Hai-Yan Wang, Yipu Song, Dong-Ling Deng, Chang-Ling Zou, Luyan Sun
Generative adversarial learning is one of the most exciting recent breakthroughs in machine learning---a subfield of artificial intelligence that is currently driving a revolution in many aspects of modern society.
Quantum Physics Disordered Systems and Neural Networks Superconductivity