no code implementations • 7 Jan 2025 • Yuxiao Hu, Qian Li, Dongxiao Zhang, Jinyue Yan, Yuntian Chen
We propose Context-Alignment, a new paradigm that aligns TS with a linguistic component in the language environments familiar to LLMs to enable LLMs to contextualize and comprehend TS data, thereby activating their capabilities.
no code implementations • 31 Dec 2023 • Yuxiao Hu, Qian Li, Xiaodan Shi, Jinyue Yan, Yuntian Chen
To address these limitations, we present a novel Multi-spatial Multi-temporal air quality forecasting method based on Graph Convolutional Networks and Gated Recurrent Units (M2G2), bridging the gap in air quality forecasting across spatial and temporal scales.
no code implementations • CVPR 2024 • Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen
Adversarial training is often formulated as a min-max problem, however, concentrating only on the worst adversarial examples causes alternating repetitive confusion of the model, i. e., previously defended or correctly classified samples are not defensible or accurately classifiable in subsequent adversarial training.
no code implementations • 10 Dec 2023 • Jiaxin Gao, Yuxiao Hu, Qinglong Cao, Siqi Dai, Yuntian Chen
Time series forecasting (TSF) holds significant importance in modern society, spanning numerous domains.
no code implementations • 31 Jul 2023 • Elia Peruzzo, Willi Menapace, Vidit Goel, Federica Arrigoni, Hao Tang, Xingqian Xu, Arman Chopikyan, Nikita Orlov, Yuxiao Hu, Humphrey Shi, Nicu Sebe, Elisa Ricci
This paper advances the state of the art in this emerging research domain by proposing the first approach for Interactive NP.
1 code implementation • CVPR 2023 • Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen
Classical adversarial attacks for Face Recognition (FR) models typically generate discrete examples for target identity with a single state image.
no code implementations • 10 Dec 2021 • Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell
We investigate fine-grained, continuous control of this model class, and introduce a novel unified framework for semantic diffusion guidance, which allows either language or image guidance, or both.
no code implementations • 7 Jul 2020 • Sean Wang, Yuxiao Hu, Jason Wu
KubeEdge [1] is an edge computing framework build on top of Kubernetes [2].
no code implementations • 17 Sep 2018 • Bowen Cheng, Rong Xiao, Yandong Guo, Yuxiao Hu, Jian-Feng Wang, Lei Zhang
We study in this paper how to initialize the parameters of multinomial logistic regression (a fully connected layer followed with softmax and cross entropy loss), which is widely used in deep neural network (DNN) models for classification problems.
12 code implementations • 27 Jul 2016 • Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao
In this paper, we design a benchmark task and provide the associated datasets for recognizing face images and link them to corresponding entity keys in a knowledge base.