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Chenwei Gu

dblp:91/2047 · DBLP profile ↗
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5ranked-venue papers
2as first author
4since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 3 · 2 first-author · 3 since 2021Artificial intelligence and machine learning · 1Security and privacy · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
3 papers
Vehicular, aerial and satellite networks · 67% Network management and operations · 12% Routing and switching · 12%
Network and information security
2 papers
Network security · 100%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Vehicular, aerial and satellite networks › satellite networks
LEO satellite networks
1.722025
Time-varying Bottleneck Links in LEO Satellite Networks: Identification, Exploits, and Countermeasures · NDSS 2025
NovaPlan: An Efficient Plan of Renting Ground Stations for Emerging LEO Satellite Networks · INFOCOM 2025
Vehicular, aerial and satellite networks
satellite networks
1.622025
Time-varying Bottleneck Links in LEO Satellite Networks: Identification, Exploits, and Countermeasures · NDSS 2025
STARVERI: Efficient and Accurate Verification for Risk-Avoidance Routing in Leo Satellite Networks · ICNP 2024
Vehicular, aerial and satellite networks › satellite networks
LEO satellite routing
0.812024
STARVERI: Efficient and Accurate Verification for Risk-Avoidance Routing in Leo Satellite Networks · ICNP 2024
Network management and operations
network verification
0.812024
STARVERI: Efficient and Accurate Verification for Risk-Avoidance Routing in Leo Satellite Networks · ICNP 2024
Routing and switching › inter-domain routing › inter-domain routing security
path validation
0.812024
STARVERI: Efficient and Accurate Verification for Risk-Avoidance Routing in Leo Satellite Networks · ICNP 2024
Network optimization and economics
resource allocation
0.312025
NovaPlan: An Efficient Plan of Renting Ground Stations for Emerging LEO Satellite Networks · INFOCOM 2025
Network measurement and analytics › network tomography
topology inference
0.312025
Time-varying Bottleneck Links in LEO Satellite Networks: Identification, Exploits, and Countermeasures · NDSS 2025
Network security › attack strategy
denial-of-service attack
0.312025
Time-varying Bottleneck Links in LEO Satellite Networks: Identification, Exploits, and Countermeasures · NDSS 2025
Network security
routing security
0.212024
STARVERI: Efficient and Accurate Verification for Risk-Avoidance Routing in Leo Satellite Networks · ICNP 2024

Methods — techniques the papers use, named apart from their topics

optimization · 1.7graph analysis · 1.7lightweight path verification · 1.5dynamic relay selection · 1.5
YearPublicationVenuePosition
2026 StarRound: An Efficient Multiple Geographic Region-Avoidance Mechanism for High Dynamic LEO Satellite Networks
Yuxuan Weng, Qian Wu 0001, Zeqi Lai, Chenwei Gu, Hewu Li, Qi Zhang 0102, Weisen Liu, Jun Liu 0063, Yuanjie Li
IWQoS4
2025 NovaPlan: An Efficient Plan of Renting Ground Stations for Emerging LEO Satellite Networks
Chenwei Gu, Qian Wu 0001, Zeqi Lai, Hewu Li, Yuxuan Weng, Weisen Liu, Jun Liu 0063, Yuanjie Li
INFOCOM1
2025 Time-varying Bottleneck Links in LEO Satellite Networks: Identification, Exploits, and Countermeasures
Yangtao Deng, Qian Wu 0001, Zeqi Lai, Chenwei Gu, Hewu Li, Yuanjie Li, Jun Liu 0063
NDSS4
2024 STARVERI: Efficient and Accurate Verification for Risk-Avoidance Routing in Leo Satellite Networks
abstract
Emerging satellite Internet constellations such as SpaceX's Starlink will deploy thousands of broadband satellites and construct Low-Earth Orbit (LEO) satellite networks (LSNs) in space, significantly expanding the boundaries of today's terrestrial Internet. However, due to the unique global LEO dynamics, satellite routers will inevitably pass through uncontrolled areas, suffering from security threats. It should be important for satellite network operators (SNOs) to enable verifiable riskavoidance routing to identify path anomalies. In this paper, we present STARVERI, a novel network path verification framework tailored for emerging LSNs. STARVERI addresses the limitations of existing crypto-based and delay-based verification approaches and accomplishes efficient and accurate path verification by: (i) adopting a dynamic relay selection mechanism deployed in SNO's operation center to judiciously select verifiable relays for each communication pair over LSNs; and (ii) incorporating a lightweight path verification algorithm to dynamically verify each segment path split by distributed relays. We build an LSN simulator based on real constellation information and the results demonstrate that STARVERI can significantly improve the path verification accuracy and achieve lower router overhead compared with existing approaches.
Chenwei Gu, Qian Wu 0001, Zeqi Lai, Hewu Li, Weisen Liu, Qi Zhang 0102, Jun Liu 0063, Yuanjie Li
ICNP1
1998 Zoom-Invariant Vision of Figural Shape: Effects on Cores of Image Disturbances
Bryan S. Morse, Stephen M. Pizer, Derek T. Puff, Chenwei Gu
Comput. Vis. Image Underst.4