Early-career researcher at Florida State University spanning POI recommendation and spatiotemporal mobility mining
2
papers here
2
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
0
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 insufficient to score: this OpenAlex snapshot lists an h-index and i10-index of 0, with 3 works recorded in the past three years. This axis would normally measure total publication volume and its year-by-year distribution, but the indexing here is too sparse to score.
Impact—
Impact cannot be scored yet: the snapshot records an h-index of 0 and an i10-index of 0 with no citation counts available. This axis would measure citations, h-index-based influence, and uptake of the two 2026 preprints once citation indexing catches up.
Focus0/100
The focus score of 0 reflects an evenly split agenda: fieldDist assigns 0.5 to recommender systems / urban mobility data mining and 0.5 to spatiotemporal data mining / urban computing, and the five OpenAlex topics — Data Management and Algorithms (2), Human Mobility and Location-Based Analysis (2), plus neural networks, recommender systems, and visual saliency (1 each) — span several clusters. Read against the catalog, this looks like a deliberate two-track agenda around POI recommendation and trajectory generation rather than unstructured drift.
Collaboration39/100
Collaboration scores 39, consistent with a compact network: 6 distinct coauthors in the snapshot and recurring collaborators Rongchao Xu, Guang Wang, and Dahai Yu. On both reviewed papers Jiang holds a middle author position without corresponding-author status, indicating contribution within a team led by others rather than an independent hub. The small, stable circle supports the concentrated 2026 output but limits the observable breadth of the collaboration network.
Activity40/100
Activity scores 40. countsByYear records 3 works in 2026 and recent3yWorks is also 3, meaning all indexed output falls in a single year with no earlier years visible in the snapshot. Both Evolve-catalog papers are 2026 arXiv preprints, so the visible rhythm is one concentrated burst of preprint activity in 2026 rather than a sustained multi-year cadence — a pattern typical of an early-stage or incompletely indexed profile.
Reproducibility38/100
Reproducibility scores 38, the reproMean across 2 assessed papers (reproPapers: 2). The two papers diverge sharply: EviRec is rated medium readiness — Evolve judges its +20.4% NDCG@10 gain consistent while flagging internal dataset-scale inconsistencies to check — whereas ZeroHAT is rated low, with its reported 4.5–6.4× utility gains resting on very weak baselines and no code or error bars released. Releasing code, baselines, and variance reporting would lift this axis.
Research summary
Lin Jiang is a researcher at Florida State University whose recent work, as indexed by OpenAlex and reviewed in the Evolve catalog, sits at the intersection of recommender systems and spatiotemporal data mining, with the field distribution split evenly (0.5 / 0.5) between recommender systems / urban mobility data mining and spatiotemporal data mining / urban computing. The 2026 snapshot records 3 works in the past three years, all concentrated in a single year, plus two arXiv preprints in the Evolve catalog: EviRec, a continual evidence-learning framework for dual cold-start POI recommendation built on mixture-of-experts gating and reliability estimation, and ZeroHAT, a behavior-conditioned zero-shot generator of human activity traces based on behavioral cloning and product-of-experts fusion. Evolve's review finds EviRec's reliability gating lifts dual cold-start POI ranking by a reported +20.4% NDCG@10 with consistent results, though internal dataset-scale inconsistencies need checking; ZeroHAT's reported 4.5–6.4× utility gains rest on very weak baselines, with no code and no error bars. On both catalog papers Jiang holds a middle, non-corresponding author position within a compact circle of 6 distinct coauthors. Citation-side indicators are not yet usable — the snapshot records an h-index and i10-index of 0 — so this is an early-stage profile assessed on method contribution and Evolve's reproducibility review rather than on citation impact.
Collaboration pattern
The collaboration footprint is compact: 6 distinct coauthors and a collaboration score of 39. Rongchao Xu, Guang Wang, and Dahai Yu recur across the record, while Jiang sits in a middle, non-corresponding author position on both reviewed 2026 papers — a contributor role within a small, stable team rather than an independent hub. Notably, the raw frequent-coauthor list also contains the name Lin Jiang itself, a possible sign of entity conflation in the underlying OpenAlex record (see caveats).
Research keywords
Highlights
Reliability-gated continual learning for dual cold-start POI recommendation
Zero-shot generation of behavior-conditioned human activity traces
A concentrated two-track 2026 output across recommendation and mobility generation
Both catalog papers appeared in 2026 as arXiv preprints with Jiang in a middle, non-corresponding author position, splitting evenly between recommender systems / urban mobility data mining and spatiotemporal data mining / urban computing (fieldDist 0.5 / 0.5), within a snapshot of 3 works and 6 distinct coauthors.
Timeline
- 2026EviRec, a continual evidence-learning framework for dual cold-start POI recommendation, appears as an arXiv preprint; Evolve rates its reproducibility readiness medium and reports a +20.4% NDCG@10 gain.
- 2026ZeroHAT, a behavior-conditioned zero-shot human activity trace generator, appears as an arXiv preprint; Evolve rates its reproducibility readiness low.
- 2026OpenAlex records 3 works in the past three years and 6 distinct coauthors, with all visible activity concentrated in this single year.
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.
- Bibliometric indicators come from OpenAlex only; the snapshot records an h-index and i10-index of 0, which likely reflects incomplete indexing rather than measured impact.
- "Lin Jiang" is a common name; this profile is name-resolved from public bibliographic data (OpenAlex), and no ORCID was available to disambiguate identity.
- The raw frequent-coauthor list includes the researcher's own name, suggesting the underlying OpenAlex entity may conflate records.
- Both catalog papers are 2026 arXiv preprints; no peer-reviewed venue, award, or funding information is within the provided data scope.