Early-career TUM researcher in distributed control and machine learning for networked multi-agent systems
3
papers here
1
reviewed by Evolve
2
first-author
0
corresponding
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works · OpenAlex
1
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-17) 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—
Not scored: the underlying publication-volume data is insufficient. This axis would measure cumulative and yearly output counts across venues and document types; only h-index 1 and i10-index 0 are on record, so no output estimate is made here.
Impact—
Not scored: citation-based impact data is insufficient for this OpenAlex identity. This axis would measure citations, citing works, and citation trajectory over time; with i10-index 0 the record shows no cited publications yet, so no impact score is estimated.
Focus100/100
The focus dimension scores 100/100, reflecting an exceptionally concentrated research agenda. OpenAlex topic data attributes the recent record to two adjacent topics — Distributed Control Multi-Agent Systems (5) and Gaussian Processes and Bayesian Inference (5) — with smaller counts in Control Systems and Identification (2), Stability and Control of Uncertain Systems (1), and Neural Networks and Applications (1); the sole classified field is control systems and machine learning (distributed estimation).
Collaboration50/100
Collaboration scores 50/100, drawn from OpenAlex co-authorship records: 11 distinct co-authors appear across the recent works. The frequent-coauthor list is anchored in the Technical University of Munich environment — Zewen Yang, Sandra Hirche, and Armin Lederer — and extends to Yang Tang, Wei Ren, Zhijun Li, Hang Zhao, Sihua Zhang, Lu Wan, Zhenxiao Yin, and C. C. Chan, indicating ties beyond a single lab.
Activity52/100
Activity scores 52/100. The OpenAlex record shows 5 works in the last three years, all indexed in 2026 (countsByYear: 2026 = 5), consistent with a short, concentrated early-career burst; the three arXiv preprints in Evolve's catalog — two of them first-authored — all carry the 2026 year stamp, so longer-run productivity cannot yet be assessed.
Reproducibility55/100
Reproducibility scores 55/100 from a narrow base: only 1 paper has been assessed (reproPapers = 1), with mean readiness 55. The reviewed COIN-GP paper carries medium readiness; Evolve's verdict notes the theory is sound but validation rests on a single small simulation, so replication evidence remains thin pending broader benchmarks or released code.
Research summary
Xiaobing Dai is an early-stage researcher at the Technical University of Munich working at the intersection of control systems and machine learning; the only OpenAlex-classified field on the record is control systems and machine learning (distributed estimation). The 2026 arXiv record shows three preprints: COIN-GP, on cooperative online learning in networked distributed systems with partial measurements via Gaussian process regression (middle author), and two first-authored papers, one on event-triggered control and online learning for networked systems under computational delays and one on asynchronous cooperative online learning for multi-robot control under computational delays. OpenAlex topics concentrate on Distributed Control Multi-Agent Systems (5) and Gaussian Processes and Bayesian Inference (5), with secondary counts in Control Systems and Identification (2), Stability and Control of Uncertain Systems (1), and Neural Networks and Applications (1) — the basis for a 100/100 focus score. Activity (52/100) rests on 5 works in the last three years, all indexed in 2026; collaboration (50/100) reflects 11 distinct co-authors including Zewen Yang, Sandra Hirche, and Armin Lederer. Output and impact dimensions are unscored (h-index 1, i10-index 0). Evolve reviewed one paper, rating COIN-GP medium for reproducibility readiness (mean 55), with sound theory but single-simulation validation.
Collaboration pattern
The OpenAlex record lists 11 distinct co-authors. Frequent collaborators anchor the Technical University of Munich environment — Zewen Yang, Sandra Hirche, and Armin Lederer — alongside Sihua Zhang and Lu Wan, with external ties including Yang Tang, Wei Ren, Zhenxiao Yin, Hang Zhao, Zhijun Li, and C. C. Chan. The 50/100 collaboration score mirrors a mid-density network: a core local cluster plus intermittent external links rather than one dominant partnership.
Research keywords
Highlights
COIN-GP: cooperative online learning with partial measurements
First-author work on event-triggered control under computational delays
First-authored 2026 arXiv preprint on event-triggered control and online learning for networked systems under computational delays; not yet reviewed by Evolve, with no verdict, keywords, or reproducibility score on record.
Asynchronous cooperative learning for multi-robot control
First-authored 2026 arXiv preprint on asynchronous cooperative online learning for multi-robot control under computational delays; not yet reviewed by Evolve, so no field classification, verdict, or reproducibility assessment is available.
Timeline
- 2026COIN-GP preprint on cooperative online learning in networked distributed systems with partial measurements via Gaussian process regression appears (middle author); Evolve's review rates reproducibility readiness medium.
- 2026First-authored arXiv preprint on event-triggered control and online learning for networked systems under computational delays.
- 2026First-authored arXiv preprint on asynchronous cooperative online learning for multi-robot control under computational delays.
- 2026OpenAlex indexes 5 works for this year — the entire recent three-year output — alongside 11 distinct co-authors.
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.
- Bibliometrics are drawn from OpenAlex only (identity: openalex); no ORCID link was available for verification, and this name is resolved from public bibliographic data.
- Output and impact dimensions are unscored because citation data is thin (h-index 1, i10-index 0); citation coverage likely lags the 2026 preprints.
- Only 1 paper (COIN-GP) has an Evolve review and reproducibility score (reproPapers = 1); the other two catalog papers lack verdicts, keywords, and slugs.
- All three catalog papers are 2026 arXiv preprints; peer-reviewed venue publications are not represented in the provided data.