no code implementations • 8 Apr 2024 • Nan Zhou, Jiaxin Chen, Di Huang
It innovatively incorporates a cross-layer dynamic connection (CDC) for input prompt tokens from adjacent layers, enabling effective sharing of task-relevant information.
no code implementations • 1 Apr 2024 • Nan Zhou, Zheng Ma
In this paper, we put forward a neural network framework to solve the nonlinear hyperbolic systems.
1 code implementation • ICCV 2023 • Nan Zhou, Jiaxin Chen, Di Huang
Furthermore, to alleviate the interference by semantic drift, we develop the semantic calibration (SC) module to align the global shape and class centers of the pretrained and downstream feature distributions.
no code implementations • 24 Jun 2023 • Ran Yan, Nan Zhou, Wei Feng, Minda Ma, Xiwang Xiang, Chao Mao
(2) Building electrification played a significant role in decarbonizing space cooling (-87. 7 in China and -130. 2 kilograms of carbon dioxide (kgCO2) per household in India) and appliances (-169. 7 in China and -43. 4 kgCO2 per household in India).
no code implementations • 26 May 2023 • Nan Zhou, Xinghui Tao, Xi Chen
We introduce CONA, a novel context-aware instruction paradigm for effective knowledge dissemination using generative pre-trained transformer (GPT) models.
no code implementations • 12 Aug 2022 • Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang
Contrastive learning has shown great potential in video representation learning.
1 code implementation • 2 Apr 2021 • Aatif Jiwani, Shubhrakanti Ganguly, Chao Ding, Nan Zhou, David M. Chan
Urban areas consume over two-thirds of the world's energy and account for more than 70 percent of global CO2 emissions.
no code implementations • 18 Jan 2021 • Xiangzhuo Xing, Yue Sun, Xiaolei Yi, Meng Li, Jiajia Feng, Yan Meng, Yufeng Zhang, Wenchong Li, Nan Zhou, Xiude He, Jun-Yi Ge, Wei Zhou, Tsuyoshi Tamegai, Zhixiang Shi
FeSe$_{1-x}$Te$_{x}$ superconductors manifest some intriguing electronic properties depending on the value of $x$.
Superconductivity Materials Science
no code implementations • 14 Oct 2019 • Xiang Li, Mingyang Wang, Congcong Wen, Lingjing Wang, Nan Zhou, Yi Fang
Based on this convolution module, we further developed a multi-scale fully convolutional neural network with downsampling and upsampling blocks to enable hierarchical point feature learning.
1 code implementation • 6 Aug 2019 • Wenjian Luo, Chenwang Wu, Nan Zhou, Li Ni
Unfortunately, as the model is nonlinear in most cases, the addition of perturbations in the gradient direction does not necessarily increase loss.
no code implementations • 21 Feb 2018 • Nan Zhou, Li Zhang, Shijian Li, Zhijian Wang
In application, we hope, the frameworks, the algorithm design as well as the experiment environment illustrated in this work, can be an incubator or a test bed for researchers and policymakers to handle the emerging algorithmic collusion.
no code implementations • 2 Jun 2015 • Nan Zhou, Yangyang Xu, Hong Cheng, Jun Fang, Witold Pedrycz
In this paper, we propose a global and local structure preserving sparse subspace learning (GLoSS) model for unsupervised feature selection.