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Xiaobo Lu

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Unclaimed · AI-structured profileOpenAlex

Last-author contributor to 2026 arXiv work on 3D LiDAR single object tracking — an early-stage, thin-record profile

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 (2026-09-19) 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: 32/100ActivityReproducibility: 55/100Reproducibility

Output—

No output score is available: this OpenAlex record holds only 2 indexed works, too few to compute cumulative production. The axis would measure total publication volume, venue quality, and output consistency once a longer publication record accumulates.

Impact—

No impact score is available: h-index and i10-index are recorded as 0 and citation aggregates are absent, reflecting a thin record rather than verified zero influence. This axis would measure citations, citation velocity, and uptake of the two 2026 preprints.

Focus0/100

The focus score computes to 0, but with only 2 indexed works this figure is unstable rather than evidence of scattered research. OpenAlex topic labels spread across five clusters — video surveillance and tracking (2), plus one each in neural network applications, 3D shape modeling, human pose and action recognition, and face recognition — while the field distribution splits evenly (0.5/0.5) between two point-cloud tracking variants, indicating a genuinely narrow working area.

Collaboration39/100

Collaboration scores 39, drawn from 6 distinct coauthors on just 2 indexed works. Sifan Zhou, Linyue Tan, Ziyu Zhao, Qiwei Wang, and Ziyu Liu recur as frequent collaborators, suggesting a stable small team. On both papers Lu sits in the last author position — typically a supervisory slot — but is not listed as corresponding author, so the precise mentoring role remains unverified.

Activity32/100

Activity scores 32 on a very short publication record: 2 works fall within the recent three-year window, and the counts-by-year series shows both appearing in 2026 as arXiv preprints. With no indexed output in earlier years, yearly cadence cannot yet be characterized; the score reflects a career stage or indexing gap rather than demonstrated inactivity, and should be re-read as new works accrue.

Reproducibility55/100

Reproducibility scores 55, the mean readiness assessment across 2 reviewed papers, both rated medium. SAVTrack reports consistent roughly 2-3 point KITTI/nuScenes gains at 82 FPS, while MAETrack offers strong ablations; Evolve's verdicts nonetheless flag single-run statistics and a pretraining-data confound for MAETrack, so the middling score tracks real methodological gaps rather than missing code alone.

Research summary

Xiaobo Lu is an early-stage researcher profile, name-resolved from OpenAlex bibliographic data, working on 3D single object tracking in LiDAR point clouds for autonomous driving perception. The indexed record holds two 2026 arXiv preprints on which Lu is the last author — and not the corresponding author — of both: SAVTrack, which adds motion-conditioned vote gating to a P2P baseline for reliability-aware tracking, and MAETrack, which transfers shallow-layer masked-autoencoder geometric priors into the tracking pipeline. Evolve reviewed both as technically solid with medium reproducibility readiness, describing SAVTrack's roughly 2-3 point KITTI/nuScenes gains at 82 FPS as solid but incremental and crediting MAETrack with strong ablations despite single-run statistics and a pretraining-data confound. Bibliometric signals are thin: h-index and i10-index are recorded as 0, 2 works fall within the recent three-year window, and 6 distinct coauthors appear, supporting collaboration (39), activity (32), focus (0), and reproducibility (55) scores while output and impact remain unscorable. OpenAlex topic labels reach face recognition, human pose and action recognition, and 3D shape analysis, though the field distribution splits evenly between two point-cloud tracking variants, indicating a narrow working area. This profile should be read as a snapshot of a nascent record likely to evolve as further works are indexed.

Collaboration pattern

The record shows a compact collaboration pattern: 6 distinct coauthors across 2 indexed 2026 works. Sifan Zhou, Linyue Tan, Ziyu Zhao, Qiwei Wang, and Ziyu Liu appear as frequent collaborators, and Xiaobo Lu holds the last author position on both papers — a slot conventionally associated with senior supervision — while not being the corresponding author on either. No cross-institution or international collaboration pattern can be assessed from the available data.

Research keywords

3D single object trackingLiDAR point cloudspoint cloud trackingvote aggregationreliability-aware selectionmasked autoencoderself-supervised pre-trainingtransfer learningBEV featuresautonomous driving perceptionKITTI benchmarkVoteNet-style voting

Highlights

Timeline

  1. 2026SAVTrack preprint appears on arXiv, introducing motion-conditioned vote gating for reliability-aware 3D point cloud tracking with roughly 2-3 point KITTI/nuScenes gains at 82 FPS; Lu is last author.
  2. 2026MAETrack preprint appears on arXiv, transferring shallow-layer masked-autoencoder geometric priors into 3D single object tracking with search gating; Lu is last author.
  3. 2026Both papers enter the Evolve review catalog with medium reproducibility readiness; the OpenAlex record shows 2 works in 2026, 6 distinct coauthors, and h-index recorded as 0.

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.

  • Bibliometric scores are computed from OpenAlex data only; no other citation source is cross-checked, and h-index/i10-index are recorded as 0 on a 2-work record.
  • Institution, country, and ORCID are absent from the source record; Xiaobo Lu is a common name, so this profile is name-resolved from public bibliographic data and identity merging is possible.
  • Output and impact dimensions are unscorable because the indexed record is too thin; no citation counts are available for the two 2026 preprints.
  • Qualitative assessments rest on only 2 papers, both 2026 arXiv preprints reviewed by Evolve; peer-reviewed venue status is unknown.
Xiaobo Lu — Researcher Profile | Evolve.Pub