First author of a public-data venture decision toolchain, also contributing to LLM inference systems research
2
papers here
2
reviewed by Evolve
1
first-author
0
corresponding
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works · OpenAlex
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h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-15) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
Output metrics are not yet available: publication counts, venue distribution, and yearly volume cannot be computed from the current snapshot of two papers. This axis would measure total and per-year publication output across indexed sources.
Impact—
Impact data is insufficient: citation counts, h-index, and downstream adoption are absent from the current data. This axis would measure how widely the two 2026 papers are cited or taken up by later work.
Focus0/100
Focus scores 0/100: across the two cataloged 2026 papers, the field distribution is an even 50/50 split between 'AI applications in entrepreneurship and venture analytics' and 'computer systems (MLSys / LLM inference)', so no dominant field emerges from this small sample. The two lines are conceptually bridged by LLM agent pipelines and AI agents, but current bibliometric concentration is nil.
Collaboration28/100
Collaboration scores 28/100, drawn from 3 distinct coauthors across the two cataloged papers; Ziyue Yang, Yuting Jiang and Peng Cheng recur as frequent coauthors. Qu holds first-author position on the venture-analytics toolchain and a middle position on RoofLang, with neither paper listing Qu as corresponding author. The pattern points to compact, repeat collaborations rather than large cross-institution consortia, consistent with the low score.
Activity—
Activity metrics are unavailable: a recent-year publication cadence cannot be established from a snapshot containing only 2026 papers. This axis would measure research tempo and continuity across recent years.
Reproducibility55/100
Reproducibility averages 55/100 (reproMean 55) over 2 scored papers, both rated medium readiness. Evolve's review of the first-author venture toolchain credits transparent methodology and clean validation (F0.5 0.54) while noting incomplete scale validation; the RoofLang review flags uncalibrated simulation results and a promised grid-search comparison that is absent. The profile therefore shows methodological openness with unfinished empirical closure.
Research summary
Lei Qu is an early-stage researcher whose visible output spans two distinct areas: AI applications in entrepreneurship and venture analytics, and computer systems for LLM inference (MLSys). The Evolve catalog holds two 2026 arXiv papers. As first author of 'From Ideas to Actions: A Public-Data Decision-Support Toolchain Across the Venture Lifecycle', Qu proposes an auditable toolchain built on public data for founder decisions across the venture lifecycle; Evolve's review credits clean validation (F0.5 0.54) and transparency while flagging incomplete scale validation and an exploratory Part Two. The second paper, 'RoofLang: Enabling AI-Driven Architecting of LLM Inference Systems', places Qu as a middle author on a bolder systems effort combining a domain-specific language with a discrete-event simulator; its review finds results rest on uncalibrated simulation, with a promised grid-search comparison absent. Bibliometrically the profile is compact: 3 distinct coauthors, a collaboration score of 28/100, an even 50/50 field split, and a reproducibility mean of 55 across 2 medium-readiness papers. Output, impact, and activity metrics are not yet available.
Collaboration pattern
The profile shows a small-team pattern: 3 distinct coauthors across two 2026 papers, with a collaboration score of 28/100. Ziyue Yang, Yuting Jiang and Peng Cheng are the recurring collaborators. Qu takes first-author responsibility on the venture-analytics toolchain while contributing as a middle author on RoofLang, suggesting a leading role in the analytics line and a supporting role in the systems line. No institutional affiliation is available in the data.
Research keywords
Highlights
First-author public-data decision toolchain for the venture lifecycle
DSL plus simulator for AI-driven LLM inference architecting
Timeline
- 2026Publishes first-author paper 'From Ideas to Actions: A Public-Data Decision-Support Toolchain Across the Venture Lifecycle' on arXiv, entering AI applications in entrepreneurship and venture analytics.
- 2026Contributes as a middle author to 'RoofLang: Enabling AI-Driven Architecting of LLM Inference Systems' on arXiv in computer systems (MLSys / LLM inference).
- 2026Both cataloged papers land in the same year, splitting the profile evenly (50/50) across the two fields, with a reproducibility mean of 55 over 2 papers and 3 distinct coauthors.
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- Radar scores are computed from a small bibliometric snapshot of only two 2026 arXiv papers and may shift substantially as the record grows.
- No institution, country, or ORCID is available; 'Lei Qu' is name-resolved from public bibliographic data and may correspond to more than one researcher.
- Output, impact, and activity dimensions lack underlying data (no publication counts, citations, or multi-year cadence) and are left unscored rather than estimated.
- Both cataloged papers are arXiv preprints; no peer-reviewed venue information is present in the data.