Xi Jiang

17 papers A* 2Misc 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
SwiftQueue: Optimizing Low-Latency Applications with Swift Packet Queuing.
NINeS
Siddhant Ray, Xi Jiang, Jack Luo, Nick Feamster, Junchen Jiang
2025 J jnl
JITI: Dynamic Model Serving for Just-in-Time Traffic Inference.
Proc. ACM Netw.
Xi Jiang, Shinan Liu, Saloua Naama, Francesco Bronzino, Paul Schmitt, Nick Feamster
2025 J jnl
NetSSM: Multi-Flow and State-Aware Network Trace Generation using State-Space Models.
CoRR
Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, Nick Feamster
2024 J jnl
CAIP: Detecting Router Misconfigurations with Context-Aware Iterative Prompting of LLMs.
CoRR
Xi Jiang, Aaron Gember-Jacobson, Nick Feamster
2024 — conf
Feasibility of State Space Models for Network Traffic Generation.
NAIC
Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, Nick Feamster
2024 J jnl
Feasibility of State Space Models for Network Traffic Generation.
CoRR
Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, Nick Feamster
2024 — conf
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation.
SIGMETRICS/Performance (Abstracts)
Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Arjun Nitin Bhagoji, Paul Schmitt, Francesco Bronzino, Nick Feamster
2024 J jnl
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation.
Proc. ACM Meas. Anal. Comput. Syst.
Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Arjun Nitin Bhagoji, Paul Schmitt, Francesco Bronzino, Nick Feamster
2024 J jnl
SwiftQueue: Optimizing Low-Latency Applications with Swift Packet Queuing.
CoRR
Siddhant Ray, Xi Jiang, Jack Luo, Nick Feamster, Junchen Jiang
2023 J jnl
AC-DC: Adaptive Ensemble Classification for Network Traffic Identification.
CoRR
Xi Jiang, Shinan Liu, Saloua Naama, Francesco Bronzino, Paul Schmitt, Nick Feamster
2023 A* conf
Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning.
KDD
Jacob Alexander Markson Brown, Xi Jiang, Van Hong Tran, Arjun Nitin Bhagoji, Nguyen Phong Hoang, Nick Feamster, Prateek Mittal, Vinod Yegneswaran
2023 J jnl
Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning.
CoRR
Jacob Alexander Markson Brown, Xi Jiang, Van Hong Tran, Arjun Nitin Bhagoji, Nguyen Phong Hoang, Nick Feamster, Prateek Mittal, Vinod Yegneswaran
2023 Misc conf
Generative, High-Fidelity Network Traces.
HotNets
Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Paul Schmitt, Francesco Bronzino, Nick Feamster
2023 A* conf
Measuring and Evading Turkmenistan's Internet Censorship: A Case Study in Large-Scale Measurements of a Low-Penetration Country.
WWW
Sadia Nourin, Van Hong Tran, Xi Jiang, Kevin Bock, Nick Feamster, Nguyen Phong Hoang, Dave Levin
2023 J jnl
Measuring and Evading Turkmenistan's Internet Censorship: A Case Study in Large-Scale Measurements of a Low-Penetration Country.
CoRR
Sadia Nourin, Van Hong Tran, Xi Jiang, Kevin Bock, Nick Feamster, Nguyen Phong Hoang, Dave Levin
2023 J jnl
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation.
CoRR
Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Arjun Nitin Bhagoji, Paul Schmitt, Francesco Bronzino, Nick Feamster
2021 — conf
Non-interoperability detection for routing protocol implementations.
SIGCOMM Posters and Demos
Xi Jiang, Aaron Gember-Jacobson