Ling Huang
Ph.D. Candidate
RadLab
Computer Science Division
University of California at Berkeley
Email:
hling at cs dot berkeley dot edu
[
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Contact information
]
New
: I have graduated from UC Berkeley. I am now working for
Intel Research at Berkeley
, and here is my
Intel Research page
.
New
: our paper on
Distributed Cumulative Triggers
gets accepted by
ICDCS'07
!
Introduction
I am a Ph.D. student in
Computer Science
at
University of California at Berkeley
. I am affiliated with
RadLab
, and my advisor is
Professor Anthony Joseph
. I am currently working on
D-Trigger: A general framework for efficient online detection
, which brings together the best techniques from continuous data streaming, online machine learning, and distributed signal processing. Before I joined
RadLab
, I was a member of
OceanStore group
and mainly working on
Tapestry
projects. I received my BS and MS degree from
Beijing University of Aeronautics and Astroautics (BUAA)
, Beijing, China. Before I came to Berkeley, I worked more than four years as a model developer and project manager at
Bei Hang Haire CAXA
, the No.1 CAD/CAM software company in China.
Rsearch Interests
Continuous online network monitoring, traffic analysis, modeling and prediction.
Efficient in-network anomaly detection, distributed machine learning and signal processing.
Distributed data streaming and triggering.
Secure, reliable and adaptive network system.
Peer-to-Peer network, scalable and fault-resilient network system, application-level multicast, web caching, etc.
Recent Projects
Communication-Efficient Online Detection of Network-wide Anomalies
Distributed Machine Learning and In-Network Anomaly Detection
Communication-Efficient Tracking of Distributed Triggers
Previous Projects
Probabilistic Data Aggregation and Multi-Scale Prediction
Geometric Modeling for CAD/CAM system
Fault-resilient Overlay Routing
Tapestry: Scalable and Resilient Peer-to-Peer network infrastructure
SpamWatch: A Peer-to-peer Spam Filtering System