no code implementations • NAACL (SMM4H) 2021 • Yuting Guo, Yao Ge, Mohammed Ali Al-Garadi, Abeed Sarker
This paper describes our approach for six classification tasks (Tasks 1a, 3a, 3b, 4 and 5) and one span detection task (Task 1b) from the Social Media Mining for Health (SMM4H) 2021 shared tasks.
no code implementations • SMM4H (COLING) 2022 • Davy Weissenbacher, Juan Banda, Vera Davydova, Darryl Estrada Zavala, Luis Gasco Sánchez, Yao Ge, Yuting Guo, Ari Klein, Martin Krallinger, Mathias Leddin, Arjun Magge, Raul Rodriguez-Esteban, Abeed Sarker, Lucia Schmidt, Elena Tutubalina, Graciela Gonzalez-Hernandez
For the past seven years, the Social Media Mining for Health Applications (#SMM4H) shared tasks have promoted the community-driven development and evaluation of advanced natural language processing systems to detect, extract, and normalize health-related information in public, user-generated content.
no code implementations • ALTA 2021 • Yuting Guo, Yao Ge, Ruqi Liao, Abeed Sarker
This paper describes our approach for the automatic grading of evidence task from the Australasian Language Technology Association (ALTA) Shared Task 2021.
no code implementations • 19 Mar 2024 • Zongnan Ma, Fuchun Zhang, Zhixiong Nan, Yao Ge
Based on GFL, the MultiComplete-Recent Feature Aggregation (MCRFA) module is proposed to model the relation of one recent feature with multiscale complete features.
no code implementations • 18 Mar 2024 • Muye Li, Shun Zhang, Yao Ge, Zan Li, Feifei Gao, Pingzhi Fan
With the help of sensing results, the phase shifts of the STAR-RIS are delicately designed, which can significantly improve the received signal strength for both the RSUs and the in-vehicle UE, and can finally enhance the sensing and communication performance.
no code implementations • 15 Feb 2024 • Wenhao Zhuang, Yuyi Mao, Hengtao He, Lei Xie, Shenghui Song, Yao Ge, Zhi Ding
Orthogonal time frequency space (OTFS) modulation has emerged as a promising solution to support high-mobility wireless communications, for which, cost-effective data detectors are critical.
no code implementations • 9 Oct 2023 • Yiwei Tao, Miaowen Wen, Yao Ge, Jun Li
In the proposed AFDM-IM scheme, the information bits are carried by the activation state of the subsymbols in discrete affine Fourier (DAF) domain in addition to the conventional constellation symbols.
no code implementations • 15 Mar 2023 • Yao Ge, Lei Liu, Shunqi Huang, David González G., Yong Liang Guan, Zhi Ding
Efficient signal detectors are rather important yet challenging to achieve satisfactory performance for large-scale communication systems.
no code implementations • 15 Mar 2023 • Yao Ge, Chong Tang, Haobo Li, Zikang Zhang, Wenda Li, Kevin Chetty, Daniele Faccio, Qammer H. Abbasi, Muhammad Imran
The dataset has been validated and has potential for the research of lip reading and multimodal speech recognition.
no code implementations • 25 Feb 2023 • Zhongyi Guo, Keji Han, Yao Ge, Wei Ji, Yun Li
In this paper, AAP is defined as the recognition of three signatures, i. e., {\em attack algorithm}, {\em victim model} and {\em hyperparameter}.
no code implementations • 17 Feb 2023 • Yao Ge, Qinwen Deng, David González G., Yong Liang Guan, Zhi Ding
This paper investigates an uplink coordinated multi-point (CoMP) coverage scenario, in which multiple mobile users are grouped for sparse code multiple access (SCMA), and served by the remote radio head (RRH) in front of them and the RRH behind them simultaneously.
1 code implementation • ICCV 2023 • Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long
However, they are susceptible to adversarial examples, which are generated by adding adversarial perturbations to original data.
no code implementations • 14 Aug 2022 • Muye Li, Shun Zhang, Yao Ge, Feifei Gao, Pingzhi Fan
For the OTFS transmission, we propose a JCEDD scheme over delay-Doppler domain.
no code implementations • 21 Apr 2022 • Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
We aimed to conduct a systematic review to explore the state of FSL methods for medical NLP.
1 code implementation • 12 Jan 2022 • Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang
Graph neural networks (GNNs), as a group of powerful tools for representation learning on irregular data, have manifested superiority in various downstream tasks.
no code implementations • 11 Oct 2020 • Keji Han, Yun Li, Xianzhong Long, Yao Ge
Many works demonstrate that deep learning system is vulnerable to adversarial attack.
no code implementations • 23 Jun 2018 • Muzammil Behzad, Manal Abdullah, Muhammad Talal Hassan, Yao Ge, Mahmood Ashraf Khan
In this paper, we propose a novel framework for performance optimization in Internet of Things (IoT)-based next-generation wireless sensor networks.