Search Results for author: Yong Yang

Found 26 papers, 8 papers with code

TRAttack”:" Text Rewriting Attack Against Text Retrieval

no code implementations RepL4NLP (ACL) 2022 Junshuai Song, Jiangshan Zhang, Jifeng Zhu, Mengyun Tang, Yong Yang

Text retrieval has been widely-used in many online applications to help users find relevant information from a text collection.

Retrieval Text Retrieval

Lateral Control of Brain-Controlled Vehicle Based on SVM Probability Output Model

no code implementations9 Mar 2024 Hongguang Pan, Xinyu Yu, Yong Yang

In this paper, by combining steady-state visual evoked potential (SSVEP) interactive interface, brain instructions generation module and vehicle lateral control module, a probabilistic output model based on support vector machine (SVM) is proposed for BCV lateral control to improve the driving performance.


RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space

no code implementations4 Mar 2024 Li Sun, Mengjie Li, Yong Yang, Xiao Li, Lin Liu, Pengfei Zhang, Haohua Du

Annotating anchor users is laborious and expensive, and thus it is impractical to work with quantities of anchor users.

Graph Attention Link Prediction

PRSA: Prompt Reverse Stealing Attacks against Large Language Models

no code implementations29 Feb 2024 Yong Yang, Xuhong Zhang, Yi Jiang, Xi Chen, Haoyu Wang, Shouling Ji, Zonghui Wang

In the mutation phase, we propose a prompt attention algorithm based on differential feedback to capture these critical features for effectively inferring the target prompts.

DRSM: efficient neural 4d decomposition for dynamic reconstruction in stationary monocular cameras

no code implementations1 Feb 2024 Weixing Xie, Xiao Dong, Yong Yang, Qiqin Lin, Jingze Chen, Junfeng Yao, Xiaohu Guo

With the popularity of monocular videos generated by video sharing and live broadcasting applications, reconstructing and editing dynamic scenes in stationary monocular cameras has become a special but anticipated technology.

Dynamic Reconstruction Neural Rendering

Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces

no code implementations2 Jan 2024 Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu

To address the aforementioned issues, we propose a novel Contrastive model for Sequential Interaction Network learning on Co-Evolving RiEmannian spaces, CSINCERE.

Contrastive Learning Recommendation Systems

MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation

1 code implementation CVPR 2023 Yong Yang, Qiong Chen, Yuan Feng, Tianlin Huang

Existing few-shot segmentation methods are based on the meta-learning strategy and extract instance knowledge from a support set and then apply the knowledge to segment target objects in a query set.

Few-Shot Semantic Segmentation General Knowledge +3

Backdoor Defense via Adaptively Splitting Poisoned Dataset

1 code implementation CVPR 2023 Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia

With the split clean data pool and polluted data pool, ASD successfully defends against backdoor attacks during training.

backdoor defense

Automatic Generation of Product-Image Sequence in E-commerce

1 code implementation26 Jun 2022 Xiaochuan Fan, Chi Zhang, Yong Yang, Yue Shang, Xueying Zhang, Zhen He, Yun Xiao, Bo Long, Lingfei Wu

For a platform with billions of products, it is extremely time-costly and labor-expensive to manually pick and organize qualified images.

Learning Image Representations for Content Based Image Retrieval of Radiotherapy Treatment Plans

no code implementations6 Jun 2022 Charles Huang, Varun Vasudevan, Oscar Pastor-Serrano, Md Tauhidul Islam, Yusuke Nomura, Piotr Dubrowski, Jen-Yeu Wang, Joseph B. Schulz, Yong Yang, Lei Xing

To address these limitations, we propose a content based image retrieval (CBIR) method for retrieving dose distributions of previously planned patients based on anatomical similarity.

Content-Based Image Retrieval Retrieval

Disappeared Command: Spoofing Attack On Automatic Speech Recognition Systems with Sound Masking

no code implementations19 Apr 2022 Jinghui Xu, Jifeng Zhu, Yong Yang

The development of deep learning technology has greatly promoted the performance improvement of automatic speech recognition (ASR) technology, which has demonstrated an ability comparable to human hearing in many tasks.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

PL-Net: Progressive Learning Network for Medical Image Segmentation

no code implementations27 Oct 2021 Junlong Cheng, Chengrui Gao, Hongchun Lu, Zhangqiang Ming, Yong Yang, Min Zhu

In recent years, segmentation methods based on deep convolutional neural networks (CNNs) have made state-of-the-art achievements for many medical analysis tasks.

Image Segmentation Medical Image Segmentation +2

Abnormal Occupancy Grid Map Recognition using Attention Network

1 code implementation18 Oct 2021 Fuqin Deng, Hua Feng, Mingjian Liang, Qi Feng, Ningbo Yi, Yong Yang, Yuan Gao, Junfeng Chen, Tin Lun Lam

The occupancy grid map is a critical component of autonomous positioning and navigation in the mobile robotic system, as many other systems' performance depends heavily on it.

Deep learning-based person re-identification methods: A survey and outlook of recent works

no code implementations10 Oct 2021 Zhangqiang Ming, Min Zhu, Xiangkun Wang, Jiamin Zhu, Junlong Cheng, Chengrui Gao, Yong Yang, XiaoYong Wei

In recent years, with the increasing demand for public safety and the rapid development of intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot research topics in the computer vision field.

Metric Learning Person Re-Identification +1

Global-Local Dynamic Feature Alignment Network for Person Re-Identification

no code implementations13 Sep 2021 Zhangqiang Ming, Yong Yang, XiaoYong Wei, Jianrong Yan, Xiangkun Wang, Fengjie Wang, Min Zhu

To solve these problems, we propose a simple and efficient Local Sliding Alignment (LSA) strategy to dynamically align the local features of two images by setting a sliding window on the local stripes of the pedestrian.

Pedestrian Detection Person Re-Identification

Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting

no code implementations15 Jul 2021 Xiangyu Qi, Jifeng Zhu, Chulin Xie, Yong Yang

We study the realistic potential of conducting backdoor attack against deep neural networks (DNNs) during deployment stage.

Backdoor Attack Philosophy

Liquefaction-induced Plasticity from Entropy-boosted Amorphous Ceramics

no code implementations1 Feb 2021 Haidong Bian, Quanfeng He, Junhua Luan, Yu Bu, Yong Yang, Zhengtao Xu, Jian Lu, Yang Yang Li

Ceramics are easy to break, and very few generic mechanisms are available for improving their mechanical properties, e. g., the 1975-discovered anti-fracture mechanism is strictly limited to zirconia and hafnia.

Materials Science

A multi-level approach with visual information for encrypted H.265/HEVC videos

no code implementations5 Nov 2020 Wenying Wen, Rongxin Tu, Yushu Zhang, Yuming Fang, Yong Yang

High-efficiency video coding (HEVC) encryption has been proposed to encrypt syntax elements for the purpose of video encryption.

Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking

no code implementations1 Sep 2019 Han Wu, Xueyuan Yang, Yong Yang, Guizhong Liu

Object tracking has been studied for decades, but most of the existing works are focused on the short-term tracking.

Object Object Tracking

Transferable Adversarial Perturbations

no code implementations ECCV 2018 Wen Zhou, Xin Hou, Yongjun Chen, Mengyun Tang, Xiangqi Huang, Xiang Gan, Yong Yang

We first show that maximizing distance between natural images and their adversarial examples in the intermediate feature maps can improve both white-box attacks (with knowledge of the model parameters) and black-box attacks.

Limits on Axion Couplings from the first 80-day data of PandaX-II Experiment

no code implementations25 Jul 2017 Changbo Fu, Xiaopeng Zhou, Xun Chen, Yunhua Chen, Xiangyi Cui, Deqing Fang, Karl Giboni, Franco Giuliani, Ke Han, Xingtao Huang, Xiangdong Ji, Yonglin Ju, Siao Lei, Shaoli Li, Huaxuan Liu, Jianglai Liu, Yugang Ma, Yajun Mao, Xiangxiang Ren, Andi Tan, Hongwei Wang, Jimin Wang, Meng Wang, Qiuhong Wang, Siguang Wang, Xuming Wang, Zhou Wang, Shiyong Wu, Mengjiao Xiao, Pengwei Xie, Binbin Yan, Yong Yang, Jianfeng Yue, Hongguang Zhang, Tao Zhang, Li Zhao, Ning Zhou

We report new searches for the solar axions and galactic axion-like dark matter particles, using the first low-background data from PandaX-II experiment at China Jinping Underground Laboratory, corresponding to a total exposure of about $2. 7\times 10^4$ kg$\cdot$day.

High Energy Physics - Experiment Solar and Stellar Astrophysics High Energy Physics - Phenomenology

Dark Matter Benchmark Models for Early LHC Run-2 Searches: Report of the ATLAS/CMS Dark Matter Forum

1 code implementation3 Jul 2015 Daniel Abercrombie, Nural Akchurin, Ece Akilli, Juan Alcaraz Maestre, Brandon Allen, Barbara Alvarez Gonzalez, Jeremy Andrea, Alexandre Arbey, Georges Azuelos, Patrizia Azzi, Mihailo Backović, Yang Bai, Swagato Banerjee, James Beacham, Alexander Belyaev, Antonio Boveia, Amelia Jean Brennan, Oliver Buchmueller, Matthew R. Buckley, Giorgio Busoni, Michael Buttignol, Giacomo Cacciapaglia, Regina Caputo, Linda Carpenter, Nuno Filipe Castro, Guillelmo Gomez Ceballos, Yangyang Cheng, John Paul Chou, Arely Cortes Gonzalez, Chris Cowden, Francesco D'Eramo, Annapaola De Cosa, Michele De Gruttola, Albert De Roeck, Andrea De Simone, Aldo Deandrea, Zeynep Demiragli, Anthony DiFranzo, Caterina Doglioni, Tristan du Pree, Robin Erbacher, Johannes Erdmann, Cora Fischer, Henning Flaecher, Patrick J. Fox, Benjamin Fuks, Marie-Helene Genest, Bhawna Gomber, Andreas Goudelis, Johanna Gramling, John Gunion, Kristian Hahn, Ulrich Haisch, Roni Harnik, Philip C. Harris, Kerstin Hoepfner, Siew Yan Hoh, Dylan George Hsu, Shih-Chieh Hsu, Yutaro Iiyama, Valerio Ippolito, Thomas Jacques, Xiangyang Ju, Felix Kahlhoefer, Alexis Kalogeropoulos, Laser Seymour Kaplan, Lashkar Kashif, Valentin V. Khoze, Raman Khurana, Khristian Kotov, Dmytro Kovalskyi, Suchita Kulkarni, Shuichi Kunori, Viktor Kutzner, Hyun Min Lee, Sung-Won Lee, Seng Pei Liew, Tongyan Lin, Steven Lowette, Romain Madar, Sarah Malik, Fabio Maltoni, Mario Martinez Perez, Olivier Mattelaer, Kentarou Mawatari, Christopher McCabe, Théo Megy, Enrico Morgante, Stephen Mrenna, Siddharth M. Narayanan, Andy Nelson, Sérgio F. Novaes, Klaas Ole Padeken, Priscilla Pani, Michele Papucci, Manfred Paulini, Christoph Paus, Jacopo Pazzini, Björn Penning, Michael E. Peskin, Deborah Pinna, Massimiliano Procura, Shamona F. Qazi, Davide Racco, Emanuele Re, Antonio Riotto, Thomas G. Rizzo, Rainer Roehrig, David Salek, Arturo Sanchez Pineda, Subir Sarkar, Alexander Schmidt, Steven Randolph Schramm, William Shepherd, Gurpreet Singh, Livia Soffi, Norraphat Srimanobhas, Kevin Sung, Tim M. P. Tait, Timothee Theveneaux-Pelzer, Marc Thomas, Mia Tosi, Daniele Trocino, Sonaina Undleeb, Alessandro Vichi, Fuquan Wang, Lian-Tao Wang, Ren-Jie Wang, Nikola Whallon, Steven Worm, Mengqing Wu, Sau Lan Wu, Hongtao Yang, Yong Yang, Shin-Shan Yu, Bryan Zaldivar, Marco Zanetti, Zhiqing Zhang, Alberto Zucchetta

This document is the final report of the ATLAS-CMS Dark Matter Forum, a forum organized by the ATLAS and CMS collaborations with the participation of experts on theories of Dark Matter, to select a minimal basis set of dark matter simplified models that should support the design of the early LHC Run-2 searches.

High Energy Physics - Experiment High Energy Physics - Phenomenology

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