| 2026 | AAAI | 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 |
| 2026 | NSDI | 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 |
| 2025 | EMNLP | 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 |
| 2025 | WWW | 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 |
| 2025 | USENIX | 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 |
| 2024 | ICNP | 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 |
| 2024 | ICNP | Linc: Enabling Low-Resource in-Network Classification and Incremental Model Update. | Haolin Yan, Qing Li, Guorui Xie, Gareth Tyson, Yong Jiang |
| 2023 | ICDCS | Efficient Flow Recording with InheritSketch on Programmable Switches. | Guorui Xie, Qing Li, Guanglin Duan, Yong Jiang, Zhuyun Qi, Shuo Liu, Qiaoling Wang |
| 2023 | ICNP | In-Forest: Distributed In-Network Classification with Ensemble Models. | Jiaye Lin, Qing Li, Guorui Xie, Yong Jiang, Zhenhui Yuan, Changlin Jiang, Yuan Yang |
| 2023 | ICNP | Efficient Attack Detection with Multi-Latency Neural Models on Heterogeneous Network Devices. | Guorui Xie, Qing Li, Haolin Yan, Dan Zhao, Gianni Antichi, Yong Jiang |
| 2023 | ICNP | 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 |
| 2022 | INFOCOM | Mousika: Enable General In-Network Intelligence in Programmable Switches by Knowledge Distillation. | Guorui Xie, Qing Li, Yutao Dong, Guanglin Duan, Yong Jiang, Jingpu Duan |
| 2022 | SRDS | 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 |
| 2020 | SIGCOMM | 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 |