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Hongcheng Tian

dblp:54/10607 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · none

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

Computer networks · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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
2 papers
Internet architecture and protocols · 88% Routing and switching · 12%
Network and information security
1 paper
Network security · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet architecture and protocols › network topology
internet topology
0.112011
IPv6 evolution, stability and deployment · ICNP 2011
Internet architecture and protocols
IPv6
0.112011
IPv6 evolution, stability and deployment · ICNP 2011
Network security
IP traceback
0.112011
EasyTrace: An easily-deployable light-weight IP traceback on an AS-level overlay network · ICNP 2011
Internet architecture and protocols
overlay networks
0.012011
EasyTrace: An easily-deployable light-weight IP traceback on an AS-level overlay network · ICNP 2011
Routing and switching
routing stability
0.012011
IPv6 evolution, stability and deployment · ICNP 2011

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

probabilistic sampling analysis · 0.2statistical measurement · 0.1
YearPublicationVenuePosition
2026 Enhanced biorthogonal wavelet transform via Catmull-Clark subdivision for efficient 3D modeling
Huayuan Guo, Weiyang Liu, MinShi Kang, Hongcheng Tian, Kunlun He
Vis. Comput.5
2011 IPv6 evolution, stability and deployment
abstract
Our subject focuses on IPv6 network, which develops for more than 10 years. How IPv6 evolve in those years? Is IPv6 network mature enough to undertake the load produced by users? Can we find some principles to guide IPv6 deployment, which make the whole network more robust and efficiency? This paper tries to answer these questions with in-depth statistics. Good news is that network is growing at a speed of O(d2) (d is time) after 2006, moreover, network itself and its routing system become more and more stable. And we explore special properties of this preliminary network, We find that distribution of AS degree follows "Power-Law Distribution", but AS-level topology cannot be described as "Small-World Model" properly. We also propose a method to define the importance of AS and give a simple principle of IPv6 deployment. We even build "6Stats Project"[1] to provide data which help deploy IPv6.
Xiaoke Jiang, Jun Bi, Yangyang Wang 0001, Zhijie He, Wei Zhang 0040, Hongcheng Tian
ICNP6
2011 EasyTrace: An easily-deployable light-weight IP traceback on an AS-level overlay network
abstract
IP traceback can be used to find the origins and paths of attacking traffic. However, so far, no Internet-level IP traceback system has ever been deployed because of deployment difficulties. In this paper, we present an easily-deployable light-weight IP traceback based on flow (EasyTrace). In EasyTrace, it is not necessary to deploy any dedicated traceback software and hardware at routers, and an AS-level overlay network is built for incremental deployment. We theoretically analyze the quantitative relation among the probability that a flow is successfully traced back various AS-level hop number, independently sampling probability, and the number of packets that the flow comprises.
Hongcheng Tian, Jun Bi, Wei Zhang 0040, Xiaoke Jiang
ICNP1