no code implementations • 18 Apr 2024 • Zeliang Ma, Song Yang, Zhe Cui, Zhicheng Zhao, Fei Su, Delong Liu, Jingyu Wang
The new trend in multi-object tracking task is to track objects of interest using natural language.
3 code implementations • 12 Apr 2024 • Xianhua He, Dashuang Liang, Song Yang, Zhanlong Hao, Hui Ma, Binjie Mao, Xi Li, Yao Wang, Pengfei Yan, Ajian Liu
SPSC and SDSC augment live samples into simulated attack samples by simulating spoofing clues of physical and digital attacks, respectively, which significantly improve the capability of the model to detect "unseen" attack types.
no code implementations • 8 Feb 2024 • Shengxiang Hu, Guobing Zou, Song Yang, Yanglan Gan, Bofeng Zhang, Yixin Chen
Despite recent community revelations about the advancements and potential applications of Large Language Models (LLMs) in understanding Text-Attributed Graph (TAG), the deployment of LLMs for production is hindered by its high computational and storage requirements, as well as long latencies during model inference.
no code implementations • 30 Nov 2023 • Pengqian Han, Jiamou Liu, Jialing He, Zeyu Zhang, Song Yang, Yanni Tang, Partha Roop
Trajectory prediction is of significant importance in computer vision.
no code implementations • 20 Apr 2023 • Shengxiang Hu, Guobing Zou, Song Yang, Shiyi Lin, Bofeng Zhang, Yixin Chen
The burgeoning field of dynamic graph representation learning, fuelled by the increasing demand for graph data analysis in real-world applications, poses both enticing opportunities and formidable challenges.
1 code implementation • 3 Mar 2023 • Song Yang, Jiamou Liu, Kaiqi Zhao
Instead, we propose a user-agnostic global trajectory flow map and a novel Graph Enhanced Transformer model (GETNext) to better exploit the extensive collaborative signals for a more accurate next POI prediction, and alleviate the cold start problem in the meantime.
1 code implementation • 12 Feb 2023 • Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu
To this end, we propose USER, an unsupervised robust version of graph neural networks that is based on structural entropy.
no code implementations • 2 Jan 2023 • Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong
All existing works first utilize a sparse sampling strategy to extract a fixed number of video frames and then conduct multi-modal interactions with query sentence for reasoning.
1 code implementation • 26 Oct 2022 • Song Yang, Houari Sahraoui
To develop our approach, we create a dataset of UML class diagrams and their English specifications with the help of volunteers.
Ranked #1 on Model extraction on UML Classes With Specs
no code implementations • 17 Jul 2022 • Ehsan Vaghefi, David Squirrell, Songyang An, Song Yang, John Marshall
Purpose: To create and evaluate the accuracy of an artificial intelligence Deep learning platform (ORAiCLE) capable of using only retinal fundus images to predict both an individuals overall 5 year cardiovascular risk (CVD) and the relative contribution of the component risk factors that comprise this risk.
no code implementations • 27 Oct 2021 • Sikai Zhang, Hong Zheng, Hongyi Su, Bo Yan, Jiamou Liu, Song Yang
The main novelty of the model is the integration of time series of four different time granularities: the original time series, together with hourly, daily, and weekly time series.
1 code implementation • EMNLP 2021 • Song Yang, Jacopo Urbani
In the second case, we show that using the confidence scores to remove doubtful predictions allows our method to achieve human-like performance over the retained information, which is still a sizable part of the original input.
1 code implementation • International Conference on Data Mining (ICDM) 2021 • Song Yang, Jiamou Liu, Kaiqi Zhao
We argue that such correlations are universal and play a pivotal role in traffic flow.
no code implementations • 11 Sep 2021 • Song Yang, Jiamou Liu, Kaiqi Zhao
We argue that such correlations are universal and play a pivotal role in traffic flow.
no code implementations • 22 Oct 2019 • Hang Li, Yu Kang, Wenbiao Ding, Song Yang, Songfan Yang, Gale Yan Huang, Zitao Liu
The experimental results demonstrate the benefits of our approach on learning attention based neural network from classroom data with different modalities, and show our approach is able to outperform state-of-the-art baselines in terms of various evaluation metrics.
1 code implementation • 15 Oct 2018 • Wanmin Liu, Song Yang, Xun Yu
A fullness conjecture of Kuznetsov says that if a smooth projective variety $X$ admits a full exceptional collection of line bundles of length $l$, then any exceptional collection of line bundles of length $l$ is full.
Algebraic Geometry 14F05, 14J45, 18E30
no code implementations • 13 Jul 2015 • Shah Neil, Song Yang
The ongoing growth in the volume of scientific literature available today precludes researchers from efficiently discerning the relevant from irrelevant content.