Dependability Analysis on Open Stack IaaS Cloud: Bug Anaysis and Fault Injection. - Xiaoyong Yuan; Ying Li 012; Zhonghai Wu; Tiancheng Liu (CloudCom, 2014)

Scheduling Cloud Platform Managed Live-Migration Operations to Minimize the Makespan. - Xiaoyong Yuan; Ying Li 012; Yanqi Wang; Kewei Sun (NPC, 2014)

A Competitive Penalty Model for Availability Based Cloud SLA. - Xiaoyong Yuan; Hongyan Tang; Ying Li 012; Tong Jia; Tiancheng Liu; Zhonghai Wu (CLOUD, 2015)

An Analysis on Availability Commitment and Penalty in Cloud SLA. - Xiaoyong Yuan; Ying Li 012; Tong Jia; Tiancheng Liu; Zhonghai Wu (COMPSAC, 2015)

Characterizing and Predicting Bug Assignment in OpenStack. - Tong Jia; Ying Li 012; Xiaoyong Yuan; Hongyan Tang; Zhonghai Wu (TSA, 2015)

DeepSky: Identifying Absorption Bumps via Deep Learning. - Xiaoyong Yuan; Min Li 012; Sudeep Gaddam; Xiaolin Li 001; Yinan Zhao; Jingzhe Ma; Jian Ge (BigData Congress, 2016)

Time Series Based Killer Task Online Recognition Service: A Google Cluster Case Study. - Hongyan Tang; Ying Li 012; Tong Jia; Xiaoyong Yuan; Zhonghai Wu (SOSE, 2016)

Intelligent Perioperative System: Towards Real-Time Big Data Analytics in Surgery Risk Assessment. - Zheng Feng; Rajendra Rana Bhat; Xiaoyong Yuan; Daniel Freeman; Tezcan Baslanti; Azra Bihorac; Xiaolin Li 001 (DASC/PiCom/DataCom/CyberSciTech, 2017)

The dose makes the poison - Leveraging uncertainty for effective malware detection. - Ruimin Sun; Xiaoyong Yuan; Andrew Lee; Matt Bishop; Donald E. Porter; Xiaolin Li 001; André Grégio; Daniela Oliveira 001 (DSC, 2017)

PhD Forum: Deep Learning-Based Real-Time Malware Detection with Multi-Stage Analysis. - Xiaoyong Yuan (SMARTCOMP, 2017)

DeepDefense: Identifying DDoS Attack via Deep Learning. - Xiaoyong Yuan; Chuanhuang Li; Xiaolin Li 001 (SMARTCOMP, 2017)

Adversarial Examples: Attacks and Defenses for Deep Learning. - Xiaoyong Yuan; Pan He; Qile Zhu; Rajendra Rana Bhat; Xiaolin Li 001 (CoRR, 2017)

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). - Hongyan Tang; Ying Li 012; Tong Jia; Xiaoyong Yuan (计算机科学, 2017)

Joint Operational and Financial Collaboration in a Capital-Constrained Supply Chain Under Manufacturer Collateral. - Gongbing Bi; Yalei Fei; Xiaoyong Yuan; Dong Wang 020 (Asia Pac. J. Oper. Res., 2018)

Leveraging Uncertainty for Effective Malware Mitigation. - Ruimin Sun; Xiaoyong Yuan; Andrew Lee; Matt Bishop; Donald E. Porter; Xiaolin Li 001; André Grégio; Daniela Oliveira 001 (CoRR, 2018)

Adaptive Adversarial Attack on Scene Text Recognition. - Xiaoyong Yuan; Pan He; Xiaolin Andy Li (CoRR, 2018)

Detection and defense of DDoS attack-based on deep learning in OpenFlow-based SDN. - Chuanhuang Li; Yan Wu; Xiaoyong Yuan; Zhengjun Sun; Weiming Wang; Xiaolin Li 001; Liang Gong (Int. J. Commun. Syst., 2018)

Analysis of Frequently Failing Tasks and Rescheduling Strategy in the Cloud System. - Hongyan Tang; Ying Li 012; Tong Jia; Xiaoyong Yuan; Zhonghai Wu (Int. J. Distributed Syst. Technol., 2018)

Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. - Xiaoyong Yuan; Zheng Feng; Matthew Norton 001; Xiaolin Li 001 (AAAI, 2019)

Adversarial Examples: Attacks and Defenses for Deep Learning. - Xiaoyong Yuan; Pan He; Qile Zhu; Xiaolin Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Adaptive Adversarial Attack on Scene Text Recognition. - Xiaoyong Yuan; Pan He; Xiaolin Li 001; Dapeng Wu 001 (INFOCOM Workshops, 2020)

Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-supervised Neural Networks. - Xiaoyong Yuan; Lei Ding 003; Malek Ben Salem; Xiaolin Li 001; Dapeng Wu 001 (SecureComm (1), 2020)

Trade credit insurance in a capital-constrained supply chain. - Hongping Li; Gongbing Bi; Xiaoyong Yuan; Dong Wang 020 (Int. Trans. Oper. Res., 2020)

Option contract strategies with risk-aversion and emergency purchase. - Xiaoyong Yuan; Gongbing Bi; Baofeng Zhang; Yugang Yu (Int. Trans. Oper. Res., 2020)

Sensing to Learn: Deep Learning Based Wireless Sensing via Connected Digital and Physical Experiments. - Lan Zhang 005; Xianhao Chen; Yawei Pang; Xiaoyong Yuan (AHFE (6), 2021)

Towards Stealing Deep Neural Networks on Mobile Devices. - Shashank Reddy Danda; Xiaoyong Yuan; Bo Chen 028 (SecureComm (2), 2021)

A Vertical Federated Learning Framework for Horizontally Partitioned Labels. - Wensheng Xia; Ying Li 012; Lan Zhang 005; Zhonghai Wu; Xiaoyong Yuan (CoRR, 2021)

FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning. - Lan Zhang 005; Xiaoyong Yuan (CoRR, 2021)

Shapley Explainer - An Interpretation Method for GNNs Used in SDN. - Chuanhuang Li; Jiali Lou; Shiyuan Liu; Zebin Chen; Xiaoyong Yuan (GLOBECOM, 2022)

FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models. - Lan Zhang 005; Dapeng Wu 001; Xiaoyong Yuan (ICDCS, 2022)

Cascade Vertical Federated Learning. - Wensheng Xia; Ying Li 012; Lan Zhang 005; Zhonghai Wu; Xiaoyong Yuan (ICME, 2022)

Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection. - Saket S. Chaturvedi; Lan Zhang 005; Xiaoyong Yuan (ICPR, 2022)

Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning. - Gaurav Bagwe; Jian Li 031; Xiaoheng Deng; Xiaoyong Yuan; Lan Zhang 005 (SEC, 2022)

Membership Inference Attacks and Defenses in Neural Network Pruning. - Xiaoyong Yuan; Lan Zhang 005 (USENIX Security Symposium, 2022)

Federated Semi-Supervised Domain Adaptation via Knowledge Transfer. - Madhureeta Das; Xianhao Chen; Xiaoyong Yuan; Lan Zhang 005 (CoRR, 2022)

Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. - Gaurav Bagwe; Jian Li 031; Xiaoyong Yuan; Lan Zhang 005 (CoRR, 2022)

FedTiny: Pruned Federated Learning Towards Specialized Tiny Models. - Hong Huang; Lan Zhang 005; Chaoyue Sun; Ruogu Fang; Xiaoyong Yuan; Dapeng Wu 001 (CoRR, 2022)

Trade credit insurance: insuring strategy of the retailer and the manufacturer. - Hongping Li; Gongbing Bi; Wen Song; Xiaoyong Yuan (Int. J. Prod. Res., 2022)

Beyond Class-Level Privacy Leakage: Breaking Record-Level Privacy in Federated Learning. - Xiaoyong Yuan; Xiyao Ma; Lan Zhang 005; Yuguang Fang; Dapeng Wu 001 (IEEE Internet Things J., 2022)

Stackelberg equilibrium strategies and coordination of a low-carbon supply chain with a risk-averse retailer. - Xiaoyong Yuan; Gongbing Bi; Hongping Li; Baofeng Zhang (Int. Trans. Oper. Res., 2022)

A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation. - Ruimin Sun; Marcus Botacin; Nikolaos Sapountzis; Xiaoyong Yuan; Matt Bishop; Donald E. Porter; Xiaolin Li 001; Andre Gregio; Daniela Oliveira 001 (IEEE Trans. Dependable Secur. Comput., 2022)

ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles. - Xiaoyong Yuan; Leah Ding; Lan Zhang 005; Xiaolin Li 001; Dapeng Oliver Wu (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Learning Fast and Slow: Propedeutica for Real-Time Malware Detection. - Ruimin Sun; Xiaoyong Yuan; Pan He; Qile Zhu; Aokun Chen; André Grégio; Daniela Oliveira 001; Xiaolin Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

TRGE: A Backdoor Detection After Quantization. - Renhua Xie; Xuxin Fang; Bo Ma 009; Chuanhuang Li; Xiaoyong Yuan (Inscrypt (2), 2023)

Prompt-Based Transceiver Cooperation for Semantic Communications with Domain-Incremental Background Knowledge. - Lan Zhang 005; Madhureeta Das; Yao Sun 002; Dusit Niyato; Xiaoyong Yuan (GLOBECOM, 2023)

Distributed Pruning Towards Tiny Neural Networks in Federated Learning. - Hong Huang; Lan Zhang 005; Chaoyue Sun; Ruogu Fang; Xiaoyong Yuan; Dapeng Wu 001 (ICDCS, 2023)

Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. - Madhureeta Das; Gaurav Bagwe; Miao Pan; Xiaoyong Yuan; Lan Zhang 005 (ICMLA, 2023)

RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. - Gaurav Bagwe; Xiaoyong Yuan; Xianhao Chen; Lan Zhang 005 (MOST, 2023)

Embracing Semi-supervised Domain Adaptation for Federated Knowledge Transfer. - Madhureeta Das; Zhen Liu; Xianhao Chen; Xiaoyong Yuan; Lan Zhang 005 (SmartSP, 2023)

Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning. - Gaurav Bagwe; Xiaoyong Yuan; Miao Pan; Lan Zhang 005 (CoRR, 2023)

Enhancing Winter Road Maintenance via Cloud Computing. - Mohammad Hossein Tavakoli Dastjerdi; Zheng Liu 005; Behnam Azmoon; Xiaoyong Yuan (IEEE Internet Comput., 2023)

BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. - Saket S. Chaturvedi; Lan Zhang 005; Wenbin Zhang 002; Pan He; Xiaoyong Yuan (IJCAI, 2024)

TTPatternMiner: Automated Learning and Characterization of Attack Pattern from Malicious Cyber Campaign. - Sharif Ullah; Sachin Shetty; Abdul Rahman; Amin Hass; Xiaoyong Yuan (MILCOM, 2024)

Enhancing Adaptive Deep Brain Stimulation via Efficient Reinforcement Learning. - Jessica Mehregan; Xiaoyong Yuan; Gaurav Bagwe; Jacob Jackson; Ezedin Mohammed; Lan Zhang 005; Chunxiu Yu (MobileCloud, 2024)

A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training. - Jie Ji; Gen Li 012; Jingjing Fu; Fatemeh Afghah; Linke Guo; Xiaoyong Yuan; Xiaolong Ma (NeurIPS, 2024)

Individual Fairness with Group Awareness Under Uncertainty. - Zichong Wang; Jocelyn Dzuong; Xiaoyong Yuan; Zhong Chen 003; Yanzhao Wu 001; Xin Yao; Wenbin Zhang 002 (ECML/PKDD (5), 2024)

PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks. - Shiwei Ding; Lan Zhang 005; Miao Pan; Xiaoyong Yuan (WACV, 2024)

A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation. - Pan He; Quanyi Li; Xiaoyong Yuan; Bolei Zhou (CoRR, 2024)

Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach. - Shuai Lyu; Yao Sun 002; Linke Guo; Xiaoyong Yuan; Fang Fang 005; Lan Zhang 005; Xianbin Wang 001 (IEEE Commun. Lett., 2024)

Cascade Vertical Federated Learning Towards Straggler Mitigation and Label Privacy Over Distributed Labels. - Wensheng Xia; Ying Li 012; Lan Zhang 005; Zhonghai Wu; Xiaoyong Yuan (IEEE Trans. Big Data, 2024)

Leveraging Binary Ear Canal Scanning Code for User Authentication in Earbuds. - Chenpei Huang; Hui Zhong; Zhen Chen; Xiaoqi Qin; Lan Zhang 005; Xiaoyong (Biran) Yuan; Miao Pan (CHI Extended Abstracts, 2025)

You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models. - Shiwei Ding; Lan Zhang 005; Zhenlin Wang; Giuseppe Ateniese; Xiaoyong Yuan (CoRR, 2025)

What Lurks Within? Concept Auditing for Shared Diffusion Models at Scale. - Xiaoyong Yuan; Xiaolong Ma; Linke Guo; Lan Zhang 005 (CoRR, 2025)

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease. - Harsh Ravivarapu; Gaurav Bagwe; Xiaoyong Yuan; Chunxiu Yu; Lan Zhang 005 (CoRR, 2025)