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Chris Wells

dblp:10/2958 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Security and privacy · 1 · 1 since 2021Software engineering, systems software and programming languages · 1

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.

Artificial intelligence
1 paper
Information extraction and text analysis · 100%
Databases, data mining, and information retrieval
1 paper
Web and social media mining · 100%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Web and social media mining
misinformation detection
0.812024
Enabling Contextual Soft Moderation on Social Media through Contrastive Textual Deviation · USENIX Security Symposium 2024
Storage systems › storage architecture
persistent storage
0.012000
OceanStore: An Architecture for Global-Scale Persistent Storage · ASPLOS 2000
Distributed systems › distributed system security
untrusted servers
0.012000
OceanStore: An Architecture for Global-Scale Persistent Storage · ASPLOS 2000

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

contrastive learning · 1.5
YearPublicationVenuePosition
2024 Enabling Contextual Soft Moderation on Social Media through Contrastive Textual Deviation
Pujan Paudel, Mohammad Hammas Saeed, Rebecca Auger, Chris Wells, Gianluca Stringhini
USENIX Security Symposium4
2000 OceanStore: An Architecture for Global-Scale Persistent Storage
abstract
OceanStore is a utility infrastructure designed to span the globe and provide continuous access to persistent information. Since this infrastructure is comprised of untrusted servers, data is protected through redundancy and cryptographic techniques. To improve performance, data is allowed to be cached anywhere, anytime. Additionally, monitoring of usage patterns allows adaptation to regional outages and denial of service attacks; monitoring also enhances performance through pro-active movement of data. A prototype implementation is currently under development.
John Kubiatowicz, David Bindel, Yan Chen 0004, Steven E. Czerwinski, Patrick R. Eaton, Dennis Geels, Ramakrishna Gummadi, Sean C. Rhea, Hakim Weatherspoon, Westley Weimer, Chris Wells, Ben Y. Zhao
ASPLOS11
1999 My Brain is Full: When More Memory Helps
Christopher Lusena, Tong Li 0003, Shelia Sittinger, Chris Wells, Judy Goldsmith
UAI4