Junfeng Guo

According to our database, Junfeng Guo authored at least 48 papers between 1999 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Secure multi-synchronization of heterogeneous dynamical networks with deception attacks via event-triggered impulsive control.

Junfeng Guo, Fei Wang, Yunliang Wei, Chuan Zhang

Commun. Nonlinear Sci. Numer. Simul., 2025

2024

Automatic Background Filtering for Cooperative Perception Using Roadside LiDAR.

Jianqi Liu, Jianguo Zhao, Junfeng Guo, Caifeng Zou, Xiuwen Yin, Xiaochun Cheng, Fazlullah Khan

IEEE Trans. Intell. Transp. Syst., July, 2024

Secure impulsive cluster synchronization control of complex dynamical networks with parameter mismatches under deception attacks.

Junfeng Guo, Fei Wang, Qianwen Xue, Mengqing Wang

J. Syst. Control. Eng., 2024

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.

Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li

CoRR, 2024

De-mark: Watermark Removal in Large Language Models.

Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang

CoRR, 2024

A Watermark for Order-Agnostic Language Models.

Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang

CoRR, 2024

Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions.

Yihan Wu, Ruibo Chen, Zhengmian Hu, Yanshuo Chen, Junfeng Guo, Hongyang Zhang, Heng Huang

CoRR, 2024

Integrated study reveals mechanism of Tripterygium Wilfordii against cholangiocarcinoma based on bioinformatics approaches and molecular dynamics simulation.

Yuting Zhao, Junfeng Guo

Comput. Biol. Chem., 2024

A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models.

Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Training A Secure Model Against Data-Free Model Extraction.

Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao

Proceedings of the Computer Vision - ECCV 2024, 2024

Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt.

Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection.

Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Federated Continual Novel Class Learning.

Lixu Wang, Chenxi Liu, Junfeng Guo, Jiahua Dong, Xiao Wang, Heng Huang, Qi Zhu

CoRR, 2023

Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger.

Yiming Li, Mingyan Zhu, Junfeng Guo, Tao Wei, Shu-Tao Xia, Zhan Qin

CoRR, 2023

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand.

Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems.

Hanqing Guo, Xun Chen, Junfeng Guo, Li Xiao, Qiben Yan

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency.

Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning.

Junfeng Guo, Ang Li, Lixu Wang, Cong Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition.

Zexin Li, Bangjie Yin, Taiping Yao, Junfeng Guo, Shouhong Ding, Simin Chen, Cong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Multi-Image Encryption Method via Computational Integral Imaging Algorithm.

Xiaowu Li, Chuying Yu, Junfeng Guo

Entropy, 2022

Backdoor Detection in Reinforcement Learning.

Junfeng Guo, Ang Li, Cong Liu

CoRR, 2022

AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis.

Junfeng Guo, Ang Li, Cong Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Neural Mean Discrepancy for Efficient Out-of-Distribution Detection.

Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H. T. Kung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy.

Xin Dong, Junfeng Guo, Wei-Te Ting, H. T. Kung

CoRR, 2021

PredCoin: Defense against Query-based Hard-label Attack.

Junfeng Guo, Yaswanth Yadlapalli, Lothar Thiele, Ang Li, Cong Liu

CoRR, 2021

Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition.

Bangjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, Shouhong Ding, Jilin Li, Cong Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Classification, positioning, and tracking of drones by HMM using acoustic circular microphone array beamforming.

Junfeng Guo, Ishtiaq Ahmad, KyungHi Chang

EURASIP J. Wirel. Commun. Netw., 2020

CT Image Segmentation for Inflamed and Fibrotic Lungs Using a Multi-Resolution Convolutional Neural Network.

Sarah E. Gerard, Jacob Herrmann, Yi Xin, Kevin T. Martin, Emanuele Rezoagli, Davide Ippolito, Giacomo Bellani, Maurizio Cereda, Junfeng Guo, Eric A. Hoffman, David W. Kaczka, Joseph M. Reinhardt

CoRR, 2020

LINTS^RT: A Learning-driven Testbed for Intelligent Scheduling in Embedded Systems.

Zelun Kong, Yaswanth Yadlapalli, Soroush Bateni, Junfeng Guo, Cong Liu

CoRR, 2020

Deep Partial Updating.

Zhongnan Qu, Cong Liu, Junfeng Guo, Lothar Thiele

CoRR, 2020

PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks.

Junfeng Guo, Zelun Kong, Cong Liu

CoRR, 2020

A Method of Rolling Bearing Fault Diagnose Based on Double Sparse Dictionary and Deep Belief Network.

Junfeng Guo, Pengfei Zheng

IEEE Access, 2020

DeepBillboard: systematic physical-world testing of autonomous driving systems.

Husheng Zhou, Wei Li, Zelun Kong, Junfeng Guo, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Practical Poisoning Attacks on Neural Networks.

Junfeng Guo, Cong Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving.

Zelun Kong, Junfeng Guo, Ang Li, Cong Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

An All-Optical Binary Pattern Recognition System Applied in Photonic Firewall based on VPI Simulation.

Junfeng Guo, Xin Li, Ying Tang, Lu Zhang, Tao Gao, Shanguo Huang

Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019

Frequency Response Estimation Method for Modelica Model and Frequency Estimation Toolbox Implementation.

Bingrui Bao, Junfeng Guo, Baokun Zhang, Fanli Zhou

Proceedings of the 13th International Modelica Conference, Regensburg, Germany, 2019

Optimal Resource Allocation for Multi-User MEC with Arbitrary Task Arrival Times and Deadlines.

Xinyun Wang, Ying Cui, Zhi Liu, Junfeng Guo, Mingyu Yang

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Distributed Sub-Tree-Based Optical Multicasting Scheme in Elastic Optical Data Center Networks.

Xin Li, Lu Zhang, Ying Tang, Junfeng Guo, Shanguo Huang

IEEE Access, 2018

2017

Energy-Efficient Resource Allocation for Multi-User Mobile Edge Computing.

Junfeng Guo, Zhaozhe Song, Ying Cui, Zhi Liu, Yusheng Ji

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

Energy-Efficient Resource Allocation for Multi-User Mobile Edge Computing.

Junfeng Guo, Zhaozhe Song, Ying Cui

CoRR, 2016

A semi-automatic framework of measuring pulmonary arterial metrics at anatomic airway locations using CT imaging.

Dakai Jin, Junfeng Guo, Timothy M. Dougherty, Krishna S. Iyer, Eric A. Hoffman, Punam K. Saha

Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2011

An Efficient Method for Improving Query Efficiency in Data Warehouse.

Zhiwei Ni, Junfeng Guo, Li Wang, Yazhuo Gao

J. Softw., 2011

2006

MDCT-based 3-D texture classification of emphysema and early smoking related lung pathologies.

Ye Xu, Milan Sonka, Geoffrey McLennan, Junfeng Guo, Eric A. Hoffman

IEEE Trans. Medical Imaging, 2006

A Method to Construct Flat Maps of the Brain's Surface and its Application.

Rudi Deklerck, Junfeng Guo, Ioan Alexandru Salomie, Marek Suliga, Edgard Nyssen, Liu Tao, Danielle Baleriaux, Jan Cornelis

Int. J. Pattern Recognit. Artif. Intell., 2006

2002

Integrated system for CT-based assessment of parenchymal lung disease.

Junfeng Guo, Joseph M. Reinhardt, Hiroko Kitaoka, Li Zhang, Milan Sonka, Geoffrey McLennan, Eric A. Hoffman

Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2001

Integrated System for Objective Assessment of Global and Regional Lung Structure.

Joseph M. Reinhardt, Junfeng Guo, Li Zhang, D. Bilgen, Shiying Hu, R. Uppaluri, Ryan M. Long, O. I. Saba, Geoffrey McLennan, Milan Sonka, Eric A. Hoffman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

1999

Rendering the Unfolded Cerebral Cortex.

Junfeng Guo, Ioan Alexandru Salomie, Rudi Deklerck, Jan Cornelis

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999