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2020 – today
- 2024
[c32]Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan:
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. IJCAI 2024: 349-357- [c31]Jessica Mehregan, Xiaoyong Yuan, Gaurav Bagwe, Jacob Jackson, Ezedin Mohammed, Lan Zhang, Chunxiu Yu:
Enhancing Adaptive Deep Brain Stimulation via Efficient Reinforcement Learning. MobileCloud 2024: 38-45 - [c30]Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang:
Individual Fairness with Group Awareness Under Uncertainty. ECML/PKDD (5) 2024: 89-106 - [c29]Shiwei Ding, Lan Zhang, Miao Pan, Xiaoyong Yuan
:
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks. WACV 2024: 4704-4713 - [i20]Pan He, Quanyi Li, Xiaoyong Yuan, Bolei Zhou:
A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation. CoRR abs/2403.06884 (2024) - [i19]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 abs/2405.00135 (2024) - [i18]Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan:
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. CoRR abs/2405.03884 (2024) - 2023
- [j14]Mohammad Hossein Tavakoli Dastjerdi, Zheng Liu, Behnam Azmoon, Xiaoyong Yuan:
Enhancing Winter Road Maintenance via Cloud Computing. IEEE Internet Comput. 27(4): 6-14 (2023) - [c28]Renhua Xie, Xuxin Fang, Bo Ma, Chuanhuang Li, Xiaoyong Yuan:
TRGE: A Backdoor Detection After Quantization. Inscrypt (2) 2023: 394-398 - [c27]Lan Zhang, Madhureeta Das, Yao Sun, Dusit Niyato, Xiaoyong Yuan:
Prompt-Based Transceiver Cooperation for Semantic Communications with Domain-Incremental Background Knowledge. GLOBECOM 2023: 2087-2092 - [c26]Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu:
Distributed Pruning Towards Tiny Neural Networks in Federated Learning. ICDCS 2023: 190-201 - [c25]Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan, Lan Zhang:
Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. ICMLA 2023: 90-97 - [c24]Gaurav Bagwe, Xiaoyong Yuan, Xianhao Chen, Lan Zhang:
RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. MOST 2023: 23-33 - [c23]Madhureeta Das, Zhen Liu, Xianhao Chen, Xiaoyong Yuan, Lan Zhang:
Embracing Semi-supervised Domain Adaptation for Federated Knowledge Transfer. SmartSP 2023: 100-113 - [i17]Gaurav Bagwe, Xiaoyong Yuan, Miao Pan, Lan Zhang:
Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning. CoRR abs/2307.04869 (2023) - [i16]Shiwei Ding, Lan Zhang, Miao Pan, Xiaoyong Yuan:
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks. CoRR abs/2307.10981 (2023) - 2022
- [j13]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): 1478-1499 (2022) - [j12]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): 2555-2565 (2022) - [j11]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): 3681-3711 (2022) - [j10]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): 353-369 (2022) - [j9]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): 1258-1270 (2022) - [j8]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): 2518-2529 (2022) - [c22]Chuanhuang Li, Jiali Lou, Shiyuan Liu, Zebin Chen, Xiaoyong Yuan:
Shapley Explainer - An Interpretation Method for GNNs Used in SDN. GLOBECOM 2022: 5534-5540 - [c21]Lan Zhang, Dapeng Wu, Xiaoyong Yuan:
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models. ICDCS 2022: 928-938 - [c20]Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan:
Cascade Vertical Federated Learning. ICME 2022: 1-6 - [c19]Saket S. Chaturvedi, Lan Zhang, Xiaoyong Yuan:
Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection. ICPR 2022: 4573-4579 - [c18]Gaurav Bagwe, Jian Li, Xiaoheng Deng, Xiaoyong Yuan, Lan Zhang:
Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning. SEC 2022: 313-315 - [c17]Xiaoyong Yuan, Lan Zhang:
Membership Inference Attacks and Defenses in Neural Network Pruning. USENIX Security Symposium 2022: 4561-4578 - [i15]Xiaoyong Yuan, Lan Zhang:
Membership Inference Attacks and Defenses in Neural Network Pruning. CoRR abs/2202.03335 (2022) - [i14]Saket S. Chaturvedi, Lan Zhang, Xiaoyong Yuan:
Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection. CoRR abs/2204.10803 (2022) - [i13]Madhureeta Das, Xianhao Chen, Xiaoyong Yuan, Lan Zhang:
Federated Semi-Supervised Domain Adaptation via Knowledge Transfer. CoRR abs/2207.10727 (2022) - [i12]Gaurav Bagwe, Jian Li, Xiaoyong Yuan, Lan Zhang:
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. CoRR abs/2208.07307 (2022) - [i11]Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu:
FedTiny: Pruned Federated Learning Towards Specialized Tiny Models. CoRR abs/2212.01977 (2022) - 2021
- [c16]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: 255-262 - [c15]Shashank Reddy Danda, Xiaoyong Yuan, Bo Chen:
Towards Stealing Deep Neural Networks on Mobile Devices. SecureComm (2) 2021: 495-508 - [i10]Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan:
A Vertical Federated Learning Framework for Horizontally Partitioned Labels. CoRR abs/2106.10056 (2021) - [i9]Lan Zhang, Xiaoyong Yuan:
FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning. CoRR abs/2109.03775 (2021) - 2020
- [j7]Hongping Li, Gongbing Bi, Xiaoyong Yuan, Dong Wang:
Trade credit insurance in a capital-constrained supply chain. Int. Trans. Oper. Res. 27(5): 2340-2369 (2020) - [j6]Xiaoyong Yuan, Gongbing Bi, Baofeng Zhang, Yugang Yu:
Option contract strategies with risk-aversion and emergency purchase. Int. Trans. Oper. Res. 27(6): 3079-3103 (2020) - [c14]Xiaoyong Yuan, Pan He, Xiaolin Li, Dapeng Wu:
Adaptive Adversarial Attack on Scene Text Recognition. INFOCOM Workshops 2020: 358-363 - [c13]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: 481-502 - [i8]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 abs/2008.13707 (2020) - [i7]Xiaoyong Yuan, Lei Ding, Lan Zhang, Xiaolin Li, Dapeng Wu:
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles. CoRR abs/2009.09560 (2020)
2010 – 2019
- 2019
- [j5]Xiaoyong Yuan, Pan He, Qile Zhu, Xiaolin Li:
Adversarial Examples: Attacks and Defenses for Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2805-2824 (2019) - [c12]Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li:
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. AAAI 2019: 1682-1689 - 2018
- [j4]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): 1850010:1-1850010:23 (2018) - [j3]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) - [j2]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): 16-38 (2018) - [i6]Ruimin Sun, Xiaoyong Yuan, Andrew Lee, Matt Bishop, Donald E. Porter, Xiaolin Li, André Grégio, Daniela Oliveira:
Leveraging Uncertainty for Effective Malware Mitigation. CoRR abs/1802.02503 (2018) - [i5]Xiaoyong Yuan, Pan He, Xiaolin Andy Li:
Adaptive Adversarial Attack on Scene Text Recognition. CoRR abs/1807.03326 (2018) - [i4]Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li:
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. CoRR abs/1812.03271 (2018) - 2017
- [j1]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): 43-46 (2017) - [c11]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: 1254-1259 - [c10]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: 123-130 - [c9]Xiaoyong Yuan:
PhD Forum: Deep Learning-Based Real-Time Malware Detection with Multi-Stage Analysis. SMARTCOMP 2017: 1-2 - [c8]Xiaoyong Yuan, Chuanhuang Li, Xiaolin Li:
DeepDefense: Identifying DDoS Attack via Deep Learning. SMARTCOMP 2017: 1-8 - [i3]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 abs/1709.10192 (2017) - [i2]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 abs/1712.01145 (2017) - [i1]Xiaoyong Yuan, Pan He, Qile Zhu, Rajendra Rana Bhat, Xiaolin Li:
Adversarial Examples: Attacks and Defenses for Deep Learning. CoRR abs/1712.07107 (2017) - 2016
- [c7]Xiaoyong Yuan, Min Li, Sudeep Gaddam, Xiaolin Li, Yinan Zhao, Jingzhe Ma, Jian Ge:
DeepSky: Identifying Absorption Bumps via Deep Learning. BigData Congress 2016: 214-221 - [c6]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: 136-145 - 2015
- [c5]Xiaoyong Yuan, Hongyan Tang, Ying Li, Tong Jia, Tiancheng Liu, Zhonghai Wu:
A Competitive Penalty Model for Availability Based Cloud SLA. CLOUD 2015: 964-970 - [c4]Xiaoyong Yuan, Ying Li, Tong Jia, Tiancheng Liu, Zhonghai Wu:
An Analysis on Availability Commitment and Penalty in Cloud SLA. COMPSAC 2015: 914-919 - [c3]Tong Jia, Ying Li, Xiaoyong Yuan, Hongyan Tang, Zhonghai Wu:
Characterizing and Predicting Bug Assignment in OpenStack. TSA 2015: 16-23 - 2014
- [c2]Xiaoyong Yuan, Ying Li, Zhonghai Wu, Tiancheng Liu:
Dependability Analysis on Open Stack IaaS Cloud: Bug Anaysis and Fault Injection. CloudCom 2014: 18-25 - [c1]Xiaoyong Yuan, Ying Li, Yanqi Wang, Kewei Sun:
Scheduling Cloud Platform Managed Live-Migration Operations to Minimize the Makespan. NPC 2014: 595-599
Coauthor Index
aka: Xiaolin Andy Li
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