Search Results for author: Yao Ge

Found 17 papers, 2 papers with code

Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications

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.

Classification

Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022

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.

An Ensemble Model for Automatic Grading of Evidence

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.

Intention Action Anticipation Model with Guide-Feedback Loop Mechanism

no code implementations19 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.

Action Anticipation Relation

STAR-RIS Aided Integrated Sensing and Communication over High Mobility Scenario

no code implementations18 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.

Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection

no code implementations15 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.

Affine Frequency Division Multiplexing With Index Modulation

no code implementations9 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.

Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems

no code implementations15 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.

Scalable Attribution of Adversarial Attacks via Multi-Task Learning

no code implementations25 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}.

Multi-Task Learning

OTFS Signaling for SCMA With Coordinated Multi-Point Vehicle Communications

no code implementations17 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.

Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training

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.

How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation

1 code implementation12 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.

Representation Learning Retrieval

Learning Task-aware Robust Deep Learning Systems

no code implementations11 Oct 2020 Keji Han, Yun Li, Xianzhong Long, Yao Ge

Many works demonstrate that deep learning system is vulnerable to adversarial attack.

Adversarial Attack General Classification

Toward Performance Optimization in IoT-based Next-Gen Wireless Sensor Networks

no code implementations23 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.

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