Xiaoyong Yuan

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 58

Top Topics

Malware Detection

Top Venues

Int. Trans. Oper. Res.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. CoRR (2024)
Pan He, Quanyi Li, Xiaoyong Yuan, Bolei Zhou
A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation. CoRR (2024)
Shiwei Ding, Lan Zhang, Miao Pan, Xiaoyong Yuan
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks. WACV (2024)
Shuai Lyu, Yao Sun, Linke Guo, Xiaoyong Yuan, Fang Fang, Lan Zhang, Xianbin Wang
Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach. CoRR (2024)
Lan Zhang, Madhureeta Das, Yao Sun, Dusit Niyato, Xiaoyong Yuan
Prompt-Based Transceiver Cooperation for Semantic Communications with Domain-Incremental Background Knowledge. GLOBECOM (2023)
Shiwei Ding, Lan Zhang, Miao Pan, Xiaoyong Yuan
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks. CoRR (2023)
Renhua Xie, Xuxin Fang, Bo Ma, Chuanhuang Li, Xiaoyong Yuan
TRGE: A Backdoor Detection After Quantization. Inscrypt (2) (2023)
Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu
Distributed Pruning Towards Tiny Neural Networks in Federated Learning. ICDCS (2023)
Gaurav Bagwe, Xiaoyong Yuan, Xianhao Chen, Lan Zhang
RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. MOST (2023)
Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan, Lan Zhang
Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. ICMLA (2023)
Mohammad Hossein Tavakoli Dastjerdi, Zheng Liu, Behnam Azmoon, Xiaoyong Yuan
Enhancing Winter Road Maintenance via Cloud Computing. IEEE Internet Comput. 27 (4) (2023)
Madhureeta Das, Zhen Liu, Xianhao Chen, Xiaoyong Yuan, Lan Zhang
Embracing Semi-supervised Domain Adaptation for Federated Knowledge Transfer. SmartSP (2023)
Gaurav Bagwe, Xiaoyong Yuan, Miao Pan, Lan Zhang
Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning. CoRR (2023)
Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu
FedTiny: Pruned Federated Learning Towards Specialized Tiny Models. CoRR (2022)
Xiaoyong Yuan, Gongbing Bi, Hongping Li, Baofeng Zhang
Stackelberg equilibrium strategies and coordination of a low-carbon supply chain with a risk-averse retailer. Int. Trans. Oper. Res. 29 (6) (2022)
Lan Zhang, Dapeng Wu, Xiaoyong Yuan
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models. ICDCS (2022)
Ruimin Sun, Marcus Botacin, Nikolaos Sapountzis, Xiaoyong Yuan, Matt Bishop, Donald E. Porter, Xiaolin Li, Andre Gregio, Daniela Oliveira
A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation. IEEE Trans. Dependable Secur. Comput. 19 (1) (2022)
Saket S. Chaturvedi, Lan Zhang, Xiaoyong Yuan
Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection. CoRR (2022)
Saket S. Chaturvedi, Lan Zhang, Xiaoyong Yuan
Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection. ICPR (2022)
Chuanhuang Li, Jiali Lou, Shiyuan Liu, Zebin Chen, Xiaoyong Yuan
Shapley Explainer - An Interpretation Method for GNNs Used in SDN. GLOBECOM (2022)
Xiaoyong Yuan, Lan Zhang
Membership Inference Attacks and Defenses in Neural Network Pruning. USENIX Security Symposium (2022)
Xiaoyong Yuan, Xiyao Ma, Lan Zhang, Yuguang Fang, Dapeng Wu
Beyond Class-Level Privacy Leakage: Breaking Record-Level Privacy in Federated Learning. IEEE Internet Things J. 9 (4) (2022)
Gaurav Bagwe, Jian Li, Xiaoheng Deng, Xiaoyong Yuan, Lan Zhang
Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning. SEC (2022)
Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan
Cascade Vertical Federated Learning. ICME (2022)
Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li
Learning Fast and Slow: Propedeutica for Real-Time Malware Detection. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Gaurav Bagwe, Jian Li, Xiaoyong Yuan, Lan Zhang
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. CoRR (2022)
Xiaoyong Yuan, Lan Zhang
Membership Inference Attacks and Defenses in Neural Network Pruning. CoRR (2022)
Hongping Li, Gongbing Bi, Wen Song, Xiaoyong Yuan
Trade credit insurance: insuring strategy of the retailer and the manufacturer. Int. J. Prod. Res. 60 (5) (2022)
Xiaoyong Yuan, Leah Ding, Lan Zhang, Xiaolin Li, Dapeng Oliver Wu
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles. IEEE Trans. Emerg. Top. Comput. Intell. 6 (5) (2022)
Madhureeta Das, Xianhao Chen, Xiaoyong Yuan, Lan Zhang
Federated Semi-Supervised Domain Adaptation via Knowledge Transfer. CoRR (2022)
Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan
A Vertical Federated Learning Framework for Horizontally Partitioned Labels. CoRR (2021)
Lan Zhang, Xiaoyong Yuan
FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning. CoRR (2021)
Lan Zhang, Xianhao Chen, Yawei Pang, Xiaoyong Yuan
Sensing to Learn: Deep Learning Based Wireless Sensing via Connected Digital and Physical Experiments. AHFE (6) (2021)
Shashank Reddy Danda, Xiaoyong Yuan, Bo Chen
Towards Stealing Deep Neural Networks on Mobile Devices. SecureComm (2) (2021)
Xiaoyong Yuan, Lei Ding, Malek Ben Salem, Xiaolin Li, Dapeng Wu
Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks. CoRR (2020)
Xiaoyong Yuan, Lei Ding, Malek Ben Salem, Xiaolin Li, Dapeng Wu
Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-supervised Neural Networks. SecureComm (1) (2020)
Xiaoyong Yuan, Pan He, Xiaolin Li, Dapeng Wu
Adaptive Adversarial Attack on Scene Text Recognition. INFOCOM Workshops (2020)
Xiaoyong Yuan, Lei Ding, Lan Zhang, Xiaolin Li, Dapeng Wu
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles. CoRR (2020)
Hongping Li, Gongbing Bi, Xiaoyong Yuan, Dong Wang
Trade credit insurance in a capital-constrained supply chain. Int. Trans. Oper. Res. 27 (5) (2020)
Xiaoyong Yuan, Gongbing Bi, Baofeng Zhang, Yugang Yu
Option contract strategies with risk-aversion and emergency purchase. Int. Trans. Oper. Res. 27 (6) (2020)
Xiaoyong Yuan, Pan He, Qile Zhu, Xiaolin Li
Adversarial Examples: Attacks and Defenses for Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 30 (9) (2019)
Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. AAAI (2019)
Ruimin Sun, Xiaoyong Yuan, Andrew Lee, Matt Bishop, Donald E. Porter, Xiaolin Li, André Grégio, Daniela Oliveira
Leveraging Uncertainty for Effective Malware Mitigation. CoRR (2018)
Hongyan Tang, Ying Li, Tong Jia, Xiaoyong Yuan, Zhonghai Wu
Analysis of Frequently Failing Tasks and Rescheduling Strategy in the Cloud System. Int. J. Distributed Syst. Technol. 9 (1) (2018)
Gongbing Bi, Yalei Fei, Xiaoyong Yuan, Dong Wang
Joint Operational and Financial Collaboration in a Capital-Constrained Supply Chain Under Manufacturer Collateral. Asia Pac. J. Oper. Res. 35 (3) (2018)
Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. CoRR (2018)
Chuanhuang Li, Yan Wu, Xiaoyong Yuan, Zhengjun Sun, Weiming Wang, Xiaolin Li, Liang Gong
Detection and defense of DDoS attack-based on deep learning in OpenFlow-based SDN. Int. J. Commun. Syst. 31 (5) (2018)
Xiaoyong Yuan, Pan He, Xiaolin Andy Li
Adaptive Adversarial Attack on Scene Text Recognition. CoRR (2018)
Ruimin Sun, Xiaoyong Yuan, Andrew Lee, Matt Bishop, Donald E. Porter, Xiaolin Li, André Grégio, Daniela Oliveira
The dose makes the poison - Leveraging uncertainty for effective malware detection. DSC (2017)
Zheng Feng, Rajendra Rana Bhat, Xiaoyong Yuan, Daniel Freeman, Tezcan Baslanti, Azra Bihorac, Xiaolin Li
Intelligent Perioperative System: Towards Real-Time Big Data Analytics in Surgery Risk Assessment. DASC/PiCom/DataCom/CyberSciTech (2017)
Xiaoyong Yuan, Chuanhuang Li, Xiaolin Li
DeepDefense: Identifying DDoS Attack via Deep Learning. SMARTCOMP (2017)
Xiaoyong Yuan
PhD Forum: Deep Learning-Based Real-Time Malware Detection with Multi-Stage Analysis. SMARTCOMP (2017)
Xiaoyong Yuan, Pan He, Qile Zhu, Rajendra Rana Bhat, Xiaolin Li
Adversarial Examples: Attacks and Defenses for Deep Learning. CoRR (2017)
Hongyan Tang, Ying Li, Tong Jia, Xiaoyong Yuan
基于时间序列分析的杀手级任务在线识别方法 (Time Series Based Killer Task Online Recognition Approach). 计算机科学 44 (4) (2017)
Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection. CoRR (2017)
Zheng Feng, Rajendra Rana Bhat, Xiaoyong Yuan, Daniel Freeman, Tezcan Baslanti, Azra Bihorac, Xiaolin Li
Intelligent Perioperative System: Towards Real-time Big Data Analytics in Surgery Risk Assessment. CoRR (2017)
Xiaoyong Yuan, Min Li, Sudeep Gaddam, Xiaolin Li, Yinan Zhao, Jingzhe Ma, Jian Ge
DeepSky: Identifying Absorption Bumps via Deep Learning. BigData Congress (2016)
Hongyan Tang, Ying Li, Tong Jia, Xiaoyong Yuan, Zhonghai Wu
Time Series Based Killer Task Online Recognition Service: A Google Cluster Case Study. SOSE (2016)
Tong Jia, Ying Li, Xiaoyong Yuan, Hongyan Tang, Zhonghai Wu
Characterizing and Predicting Bug Assignment in OpenStack. TSA (2015)
Xiaoyong Yuan, Hongyan Tang, Ying Li, Tong Jia, Tiancheng Liu, Zhonghai Wu
A Competitive Penalty Model for Availability Based Cloud SLA. CLOUD (2015)
Xiaoyong Yuan, Ying Li, Tong Jia, Tiancheng Liu, Zhonghai Wu
An Analysis on Availability Commitment and Penalty in Cloud SLA. COMPSAC (2015)
Xiaoyong Yuan, Ying Li, Zhonghai Wu, Tiancheng Liu
Dependability Analysis on Open Stack IaaS Cloud: Bug Anaysis and Fault Injection. CloudCom (2014)
Xiaoyong Yuan, Ying Li, Yanqi Wang, Kewei Sun
Scheduling Cloud Platform Managed Live-Migration Operations to Minimize the Makespan. NPC (2014)