Guorui Xie

According to our database, Guorui Xie authored at least 23 papers between 2020 and 2026.

Collaborative distances:

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

2026

Defending against Traffic Analysis Attacks with Flexible In-Network Obfuscation.

Guorui Xie, Qing Li, Zhenning Shi, Gianni Antichi, Yijia Zhu, Kejun Li, Changxing Weng, Sebastiano Miano, Yong Jiang, Mingwei Xu

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

RatioSketch: Towards More Accurate Frequency Estimation in Data Streams via a Lightweight Neural Network.

Mengbo Wang, Zhuochen Fan, Dayu Wang, Guorui Xie, Qing Li, Zeyu Luan, Yong Jiang, Tong Yang, Mingwei Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Distributed Multi-Task In-Network Classification on Programmable Switches by Ensemble Models.

Qing Li, Jiaye Lin, Guorui Xie, Zhongxu Guan, Zeyu Luan, Zhuyun Qi, Yong Jiang, Zhenhui Yuan

IEEE Trans. Netw., December, 2025

Intelligent In-Network Attack Detection on Programmable Switches With Soterv2.

Guorui Xie, Qing Li, Chupeng Cui, Ruoyu Li, Lianbo Ma, Zhuyun Qi, Yong Jiang

IEEE Trans. Dependable Secur. Comput., 2025

DNSGuard: In-Network Defense Against DNS Attacks.

Guanglin Duan, Qing Li, Zhengxin Zhang, Dan Zhao, Guorui Xie, Yuan Yang, Zhenhui Yuan, Yong Jiang, Mingwei Xu

IEEE Trans. Dependable Secur. Comput., 2025

Helios: Learning and Adaptation of Matching Rules for Continual In-Network Malicious Traffic Detection.

Zhenning Shi, Dan Zhao, Yijia Zhu, Guorui Xie, Qing Li, Yong Jiang

Proceedings of the ACM on Web Conference 2025, 2025

Minos : A Lightweight and Dynamic Defense against Traffic Analysis in Programmable Data Planes.

Zihao Wang, Qing Li, Guorui Xie, Dan Zhao, Kejun Li, Zhuochen Fan, Lianbo Ma, Yong Jiang

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling.

Zhenning Shi, Yijia Zhu, Yi Xie, Junhan Shi, Guorui Xie, Haotian Zhang, Yong Jiang, Congcong Miao, Qing Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

DeviceRadar: Online IoT Device Fingerprinting in ISPs Using Programmable Switches.

Ruoyu Li, Qing Li, Tao Lin, Qingsong Zou, Dan Zhao, Yucheng Huang, Gareth Tyson, Guorui Xie, Yong Jiang

IEEE/ACM Trans. Netw., October, 2024

Empowering In-Network Classification in Programmable Switches by Binary Decision Tree and Knowledge Distillation.

Guorui Xie, Qing Li, Guanglin Duan, Jiaye Lin, Yutao Dong, Yong Jiang, Dan Zhao, Yuan Yang

IEEE/ACM Trans. Netw., February, 2024

Generating Neural Networks for Diverse Networking Classification Tasks via Hardware-Aware Neural Architecture Search.

Guorui Xie, Qing Li, Zhenning Shi, Hanbin Fang, Shengpeng Ji, Yong Jiang, Zhenhui Yuan, Lianbo Ma, Mingwei Xu

IEEE Trans. Computers, February, 2024

Mitigating Sample Selection Bias with Robust Domain Adaption in Multimedia Recommendation.

Jiaye Lin, Qing Li, Guorui Xie, Zhongxu Guan, Yong Jiang, Ting Xu, Zhong Zhang, Peilin Zhao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Linc: Enabling Low-Resource in-Network Classification and Incremental Model Update.

Haolin Yan, Qing Li, Guorui Xie, Gareth Tyson, Yong Jiang

Proceedings of the 32nd IEEE International Conference on Network Protocols, 2024

Proteus: A Difficulty-Aware Deep Learning Framework for Real-Time Malicious Traffic Detection.

Chupeng Cui, Qing Li, Guorui Xie, Ruoyu Li, Dan Zhao, Zhenhui Yuan, Yong Jiang

Proceedings of the 32nd IEEE International Conference on Network Protocols, 2024

2023

Pontus: Finding Waves in Data Streams.

Zhengxin Zhang, Qing Li, Guanglin Duan, Dan Zhao, Jingyu Xiao, Guorui Xie, Yong Jiang

Proc. ACM Manag. Data, 2023

Dryad: Deploying Adaptive Trees on Programmable Switches for Networking Classification.

Guorui Xie, Qing Li, Jiaye Lin, Gianni Antichi, Dan Zhao, Zhenhui Yuan, Ruoyu Li, Yong Jiang

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Efficient Attack Detection with Multi-Latency Neural Models on Heterogeneous Network Devices.

Guorui Xie, Qing Li, Haolin Yan, Dan Zhao, Gianni Antichi, Yong Jiang

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

In-Forest: Distributed In-Network Classification with Ensemble Models.

Jiaye Lin, Qing Li, Guorui Xie, Yong Jiang, Zhenhui Yuan, Changlin Jiang, Yuan Yang

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Efficient Flow Recording with InheritSketch on Programmable Switches.

Guorui Xie, Qing Li, Guanglin Duan, Yong Jiang, Zhuyun Qi, Shuo Liu, Qiaoling Wang

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

2022

Soter: Deep Learning Enhanced In-Network Attack Detection Based on Programmable Switches.

Guorui Xie, Qing Li, Chupeng Cui, Peican Zhu, Dan Zhao, Wanxin Shi, Zhuyun Qi, Yong Jiang, Xi Xiao

Proceedings of the 41st International Symposium on Reliable Distributed Systems, 2022

Mousika: Enable General In-Network Intelligence in Programmable Switches by Knowledge Distillation.

Guorui Xie, Qing Li, Yutao Dong, Guanglin Duan, Yong Jiang, Jingpu Duan

Proceedings of the IEEE INFOCOM 2022, 2022

2021

Self-attentive deep learning method for online traffic classification and its interpretability.

Guorui Xie, Qing Li, Yong Jiang

Comput. Networks, 2021

2020

SAM: Self-Attention based Deep Learning Method for Online Traffic Classification.

Guorui Xie, Qing Li, Yong Jiang, Tao Dai, Gengbiao Shen, Rui Li, Richard O. Sinnott, Shutao Xia

Proceedings of the 2020 Workshop on Network Meets AI & ML, 2020