no code implementations • 9 Dec 2023 • Qian Qiao, Yu Xie, Ziyin Zeng, Fanzhang Li
Few-shot image classification aims to classify images from unseen novel classes with few samples.
2 code implementations • CVPR 2023 • Yuqian Fu, Yu Xie, Yanwei Fu, Yu-Gang Jiang
Thus, inspired by vanilla adversarial learning, a novel model-agnostic meta Style Adversarial training (StyleAdv) method together with a novel style adversarial attack method is proposed for CD-FSL.
Ranked #1 on Cross-Domain Few-Shot on Plantae
1 code implementation • 11 Oct 2022 • Yuqian Fu, Yu Xie, Yanwei Fu, Jingjing Chen, Yu-Gang Jiang
Concretely, to solve the data imbalance problem between the source data with sufficient examples and the auxiliary target data with limited examples, we build our model under the umbrella of multi-expert learning.
1 code implementation • Entropy 2022, 24(9), 1190; 2022 • Xu Shen, Yuyang Zhang, Yu Xie, Ka-Chun Wong, Chengbin Peng
Graph neural networks (GNNs) with feature propagation have demonstrated their power in handling unstructured data.
1 code implementation • 23 Jun 2022 • Guanzhou Wei, Venkat Krishnan, Yu Xie, Manajit Sengupta, Yingchen Zhang, Haitao Liao, Xiao Liu
Increasingly frequent wildfires significantly affect solar energy production as the atmospheric aerosols generated by wildfires diminish the incoming solar radiation to the earth.
1 code implementation • 15 Mar 2022 • Yuqian Fu, Yu Xie, Yanwei Fu, Jingjing Chen, Yu-Gang Jiang
The key challenge of CD-FSL lies in the huge data shift between source and target domains, which is typically in the form of totally different visual styles.
Ranked #2 on Cross-Domain Few-Shot on CUB
no code implementations • CVPR 2022 • Yu Xie, Yanwei Fu, Ying Tai, Yun Cao, Junwei Zhu, Chengjie Wang
In this paper, we propose a novel model to explicitly learn and memorize reusable features that can help hallucinate novel category images.
no code implementations • 25 Aug 2021 • Gavin Cook, Junming Huang, Yu Xie
Past research has studied social determinants of attitudes toward foreign countries.
no code implementations • 14 Apr 2021 • Maoguo Gong, Yuan Gao, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong
The performance of machine learning algorithms heavily relies on the availability of a large amount of training data.
no code implementations • 14 Apr 2021 • Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. K. Qin
Since the existing naive model parameter averaging method is contradictory to the learning paradigm of neural networks, we simulate the process of human cognition and communication, and analogy multi-party learning as a many-to-one knowledge sharing problem.
no code implementations • 8 Dec 2020 • Junming Huang, Gavin Cook, Yu Xie
Do mass media influence people's opinion of other countries?
no code implementations • 7 Dec 2020 • Lixin Sun, Jonathan Vandermause, Simon Batzner, Yu Xie, David Clark, Wei Chen, Boris Kozinsky
Computing accurate reaction rates is a central challenge in computational chemistry and biology because of the high cost of free energy estimation with unbiased molecular dynamics.
3 code implementations • 26 Aug 2020 • Yu Xie, Jonathan Vandermause, Lixin Sun, Andrea Cepellotti, Boris Kozinsky
We present a way to dramatically accelerate Gaussian process models for interatomic force fields based on many-body kernels by mapping both forces and uncertainties onto functions of low-dimensional features.
no code implementations • 15 Jun 2020 • Yu Xie, Chunyi Li, Bin Yu, Chen Zhang, Zhouhua Tang
Real-world networks are composed of diverse interacting and evolving entities, while most of existing researches simply characterize them as particular static networks, without consideration of the evolution trend in dynamic networks.
Social and Information Networks Physics and Society
1 code implementation • 27 Nov 2019 • Weiqi Chen, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, Xiaojie Feng
Traffic forecasting is of great importance to transportation management and public safety, and very challenging due to the complicated spatial-temporal dependency and essential uncertainty brought about by the road network and traffic conditions.