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Mingqi Lu 0001

dblp:384/2110-1 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2026
0009-0007-3830-0825ORCID · verified

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

Security and privacy · 2 · 1 first-author · 2 since 2021Theory of computation · 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.

Network and information security
2 papers
Cryptographic primitives and cryptanalysis · 77% Cryptographic protocols and secure computation · 23%
Theoretical computer science
2 papers
Computational complexity · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic primitives and cryptanalysis › post-quantum cryptography › lattice-based cryptography
learning with errors
1.822026
SNARKs from LWE via Non-black-Box Reductions · STOC 2026
Memory-Sample Lower Bounds for LWE · CRYPTO (5) 2024
Cryptographic protocols and secure computation › proof systems
succinct non-interactive arguments of knowledge
1.012026
SNARKs from LWE via Non-black-Box Reductions · STOC 2026
Cryptographic primitives and cryptanalysis › post-quantum cryptography
lattice-based cryptography
0.812024
Memory-Sample Lower Bounds for LWE · CRYPTO (5) 2024
Cryptographic primitives and cryptanalysis
post-quantum cryptography
0.812024
Memory-Sample Lower Bounds for LWE · CRYPTO (5) 2024
Computational complexity › proof complexity › frege systems
extended frege
0.312026
SNARKs from LWE via Non-black-Box Reductions · STOC 2026
Computational complexity
proof complexity
0.312026
SNARKs from LWE via Non-black-Box Reductions · STOC 2026
Computational complexity › learning theory
memory-sample tradeoffs
0.212024
Memory-Sample Lower Bounds for LWE · CRYPTO (5) 2024

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

lower bound · 1.5non-black-box reductions · 1.0non-black-box reduction · 1.0
YearPublicationVenuePosition
2026 Succinct Non-interactive Arguments for Distributions
Zhengzhong Jin, Mingqi Lu 0001, Bo Peng 0030
CRYPTO (9)2
2026 SNARKs from LWE via Non-black-Box Reductions
abstract
We construct the first succinct non-interactive arguments of knowledge (SNARKs) from the polynomial-hardness of Learning with Errors (LWE) for a subclass of UP languages whose witness unambiguity has a polynomial-size Extended Frege (EF) proof. Our construction achieves the following soundness guarantee:
Zhengzhong Jin, Mingqi Lu 0001, Bo Peng 0030
STOC2
2024 Memory-Sample Lower Bounds for LWE
Mingqi Lu 0001, Junzhao Yang
CRYPTO (5)1