JC

Jason Cong

University of California, Los Angeles · United States

Unclaimed · AI-structured profileORCID OpenAlex

UCLA researcher (h-index 85) spanning VLSI/FPGA design automation and combinatorial optimization, 1988–2026

2

papers here

2

reviewed by Evolve

0

first-author

0

corresponding

—

works · OpenAlex

85

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: insufficient dataOutputImpact: insufficient dataImpactFocus: 0/100FocusCollaboration: 39/100CollaborationActivity: 100/100ActivityReproducibility: 55/100Reproducibility

Output—

Not yet scored: this snapshot provides annual work counts but no validated per-paper output metadata (venues, publication types, author roles), which is what this axis measures. Until paper-level records are linked, output volume and composition cannot be assessed honestly.

Impact—

Not yet scored. Although citation aggregates exist in the snapshot (h-index 85, i10-index 509), this axis requires field-normalized citation distributions and percentile benchmarks that are not available here, so no impact estimate is offered.

Focus0/100

Scores 0/100, indicating maximal dispersion rather than a single core lane. The field distribution splits evenly at 0.5/0.5 between theoretical computer science (combinatorial optimization and discrete algorithms) and electronic design automation (LLM agents for hardware/HLS). Topic mass still clusters in VLSI/FPGA (758) and embedded systems (563), but the active 2026 work sits squarely on this split.

Collaboration39/100

Scores 39/100. The snapshot logs just 6 distinct coauthors against 99 works over the last three years, indicating a narrow recorded collaborator pool despite heavy output. Recurring names in the source data include Zijian Ding, Yang Zou, and Yizhou Sun, though that list is partly fragmented. Both 2026 catalog papers place the researcher in the last author position.

Activity100/100

Scores 100/100, the top band. The record spans 1988–2026 with no gap year, and recent output is strong: 99 works in the last three years, with countsByYear showing 27 works in 2024, 40 in 2025, and 32 already indexed in 2026. Sustained late-career velocity is the defining feature of this profile.

Reproducibility55/100

Scores 55/100, derived from 2 reviewed papers (reproMean 55). The agent-based HLS study is a well-controlled comparison with a 2.62x geometric-mean speedup over direct RTL design, but its single-run evidence is flagged for variance checks; the hypergraph theory paper is fully proved yet contains no experiments. Both carry medium reproducibility readiness.

Research summary

This profile is name-resolved from public OpenAlex bibliographic data for a UCLA-based researcher whose indexed publication record runs continuously from 1988 through 2026. Citation aggregates are substantial — h-index 85 and i10-index 509 — and activity remains high, with 99 works in the last three years (annual counts of 27 in 2024, 40 in 2025, and 32 already indexed in 2026). Topic mass concentrates on VLSI and FPGA design techniques (758 works), embedded systems design (563), interconnection networks (286), parallel computing and optimization (236), and low-power high-performance VLSI (208). The field distribution is an even 50/50 split between theoretical computer science — combinatorial optimization and discrete algorithms — and electronic design automation with LLM agents for hardware and high-level synthesis, an unusual pairing that drives the focus score to 0. Two 2026 arXiv papers in the Evolve catalog, both with the researcher in the last author position, illustrate the two threads: a controlled study of agent-based HLS plus RTL optimization reporting a 2.62x geometric-mean speedup over direct RTL design (single-run evidence, flagged for variance checks), and a fully proved but experiment-free toolkit of reductions, bounds, and greedy certificates for maximum strong independent sets in hypergraphs. Both rate medium on reproducibility readiness.

Collaboration pattern

The snapshot records only 6 distinct coauthors against 99 works in the last three years — a high-output, narrow recorded collaborator pool that yields a collaboration score of 39. Recurring names in the source data include Zijian Ding, Yang Zou, and Yizhou Sun, though that list appears partly fragmented. Both 2026 catalog papers place the researcher in the last author position, consistent with a senior group-lead collaboration pattern.

Research keywords

High-level synthesis (HLS)LLM agentsRTL optimizationFPGA designVLSI design automationEmbedded systemsInterconnection networksParallel computingLow-power VLSI designCombinatorial optimizationHypergraph algorithmsMaximum independent set

Highlights

Timeline

  1. 1988Earliest indexed works in the countsByYear record (3 publications), marking the start of a continuous 39-year output span.
  2. 2003Peak annual output in the record: 59 indexed works.
  3. 201843 indexed works, second only to 2012's 49 within the 2010s.
  4. 202540 indexed works, a strong late-career annual count in the continuing record.
  5. 2026Two arXiv papers enter the Evolve catalog — the LLM-agent HLS study and the hypergraph strong-independent-set toolkit — both with the researcher as last author.

Papers in the Evolve catalog

Frequent co-authors

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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.

  • All bibliometrics come from a single OpenAlex-indexed snapshot; citation aggregates (h-index 85, i10-index 509) were not independently verified against other databases.
  • The output and impact radar axes are unscored: no validated per-paper venue metadata or field-normalized citation distributions are available in this snapshot.
  • The frequent-coauthor list appears fragmented (one name split across two entries, and the profile subject himself listed) and was interpreted cautiously.
  • Reproducibility scoring rests on only 2 Evolve-reviewed papers; catalog coverage of this researcher's output is partial.
Jason Cong — Researcher Profile | Evolve.Pub