no code implementations • 12 Jun 2024 • Yao Lu, Yutao Zhu, Yuqi Li, Dongwei Xu, Yun Lin, Qi Xuan, Xiaoniu Yang
With the successful application of deep learning in communications systems, deep neural networks are becoming the preferred method for signal classification.
no code implementations • 23 May 2024 • Nhat Chung, Sensen Gao, Tuan-Anh Vu, Jie Zhang, Aishan Liu, Yun Lin, Jin Song Dong, Qing Guo
To further explore the risk in AD systems and the transferability of practical threats, we propose to leverage typographic attacks against AD systems relying on the decision-making capabilities of Vision-LLMs.
no code implementations • 18 Apr 2024 • Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin
Given the critical role of similarity metrics in recommender systems, existing methods mainly employ handcrafted similarity metrics to capture the complex characteristics of user-item interactions.
no code implementations • 20 Mar 2024 • Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian yuan, Dongmei Zhang
Large Language Models (LLMs) have revolutionized code generation ability by converting natural language descriptions into executable code.
1 code implementation • 1 Dec 2022 • Zeyang Yang, Xue Fu, Guan Gui, Yun Lin, Haris Gacanin, Hikmet Sari, Fumiyuki Adachi
Rogue emitter detection (RED) is a crucial technique to maintain secure internet of things applications.
1 code implementation • 28 Nov 2022 • Xue Fu, Yang Peng, Yuchao Liu, Yun Lin, Guan Gui, Haris Gacanin, Fumiyuki Adachi
Specifically, pseudo labels are innovatively introduced into metric learning to enable semi-supervised metric learning (SSML), and an objective function alternatively regularized by SSML and virtual adversarial training (VAT) is designed to extract discriminative and generalized semantic features of radio signals.
1 code implementation • 18 Oct 2022 • Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan
In this paper, we present \textbf{SCodeR}, a \textbf{S}oft-labeled contrastive pre-training framework with two positive sample construction methods to learn functional-level \textbf{Code} \textbf{R}epresentation.
1 code implementation • 30 Sep 2022 • Ying Zhao, Luhao Ge, Huixuan Xie, Genghuai Bai, Zhao Zhang, Qiang Wei, Yun Lin, Yuchao Liu, Fangfang Zhou
A time-frequency diagram is a commonly used visualization for observing the time-frequency distribution of radio signals and analyzing their time-varying patterns of communication states in radio monitoring and management.
1 code implementation • 9 Aug 2022 • Lantu Guo, Yu Wang, Yun Lin, Haitao Zhao, Guan Gui
Automatic modulation classification (AMC) is a key technique for designing non-cooperative communication systems, and deep learning (DL) is applied effectively to AMC for improving classification accuracy.
2 code implementations • 14 Jul 2022 • Yu Wang, Guan Gui, Yun Lin, Hsiao-Chun Wu, Chau Yuen, Fumiyuki Adachi
Thus, we focus on few-shot SEI (FS-SEI) for aircraft identification via automatic dependent surveillance-broadcast (ADS-B) signals, and a novel FS-SEI method is proposed, based on deep metric ensemble learning (DMEL).
no code implementations • 24 Jun 2022 • Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Zhe Hou, Yan Xiao, Yun Lin, Jin Song Dong
For those reasons, there is a high demand for trustworthy and rigorous methods to verify the robustness of neural network models.
1 code implementation • 25 May 2022 • Shupeng Zhang, Yibin Zhang, Xixi Zhang, Jinlong Sun, Yun Lin, Haris Gacanin, Fumiyuki Adachi, Guan Gui
However, most of these datasets are collected from 2. 4G WiFi devices and through similar channel environments.
no code implementations • 21 Mar 2022 • Yuting Yang, Pei Huang, Juan Cao, Jintao Li, Yun Lin, Jin Song Dong, Feifei Ma, Jian Zhang
Our attack technique targets the inherent vulnerabilities of NLP models, allowing us to generate samples even without interacting with the victim NLP model, as long as it is based on pre-trained language models (PLMs).
no code implementations • 31 Dec 2021 • Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei
Moreover, our case study shows that our visual solution can well reflect the characteristics of various training scenarios, showing good potential of DVI as a debugging tool for analyzing deep learning training processes.
1 code implementation • 6 Oct 2021 • Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong
However, inputs may deviate from the training dataset distribution in real deployments.
no code implementations • 18 Apr 2020 • Tai D. Nguyen, Long H. Pham, Jun Sun, Yun Lin, Quang Tran Minh
In this work, we present an adaptive fuzzer for smart contracts on the Ethereum platform called sFuzz.
Software Engineering
1 code implementation • 10 Apr 2020 • Yihong Dong, Xiaohan Jiang, Huaji Zhou, Yun Lin, Qingjiang Shi
This paper proposes a ZSL framework, signal recognition and reconstruction convolutional neural networks (SR2CNN), to address relevant problems in this situation.