Zhengdong Fei

dblp:89/4904 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Theoretical computer science
1 paper
Computational complexity · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
DNA computing
0.011997
The power of surface-based DNA computation (extended abstract) · RECOMB 1997

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

surface chemistry · 0.0DNA strand manipulation · 0.0
YearPublicationVenuePosition
2025 Service Area Vehicle Flow Prediction Model for Highway Service Areas Based on Gravity Model Quadratic Assignment
Lai Meng, Yichu Dai, Zhengdong Fei, Canghong Jin, Lina Wei
KSEM (4)4
1997 The power of surface-based DNA computation (extended abstract)
abstract
) Weiping Cai, Anne E. Condon, Robert M. Corn, Elton Glaser, Zhengdong Fei, Tony Frutos, Zhen Guo, Max G. Lagally, Qinghua Liu, Lloyd M. Smith, Andrew Thiel University of Wisconsin Madison, WI 57306 USA Abstract A new model of DNA computation that is based on surface chemistry is studied. Such computations involve the manipulation of DNA strands that are immobilized on a surface, rather than in solution as in the work of Adleman. Surface-based chemistry has been a critical technology in many recent advances in biochemistry and offers several advantages over solution-based chemistry, including simplified handling of samples and elimination of loss of strands, which reduce error in the computation. The main contribution of this paper is in showing that in principle, surface-based DNA chemistry can efficiently support general circuit computation on many inputs in parallel. To do this, an abstract model of computation that allows parallel manipulation of binary inputs is described. It is...
Weiping Cai, Anne Condon, Robert M. Corn, Elton Glaser, Zhengdong Fei, Tony Frutos, Max G. Lagally, Lloyd M. Smith, Andrew Thiel
RECOMB5