Early-career researcher spanning robust average-reward MDP theory and world-model-based robot manipulation
2
papers here
0
reviewed by Evolve
1
first-author
0
corresponding
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works · OpenAlex
0
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-09-28) 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 measures cumulative publication volume and productivity trends over time. This snapshot lists the h-index and i10-index as 0 and offers no per-year output series beyond the single 2026 entry, so the axis cannot be scored yet and should be revisited as indexing accumulates.
Impact—
Impact measures citation-based influence, such as citation counts and h-index trajectory. With an h-index and i10-index of 0 and both papers being fresh 2026 arXiv preprints, no citation signal exists yet, so this axis is left unscored rather than estimated.
Focus—
Focus measures thematic concentration versus dispersion across research topics. Five indexed topics each carry only a single work — from uncertain-system control to GAN-based image synthesis — which is too thin to score concentration, so this axis remains unscored.
Collaboration50/100
The collaboration axis scores 50, a mid-range value derived from 11 distinct coauthors recorded in the OpenAlex snapshot. The frequent-coauthor list spans both active lines — names such as George Atia, Yinghua Zhou, Hao Dong, Gaurav Sukhatme, Vitor Guizilini, and Basile Van Hoorick — though the input does not map individuals to specific papers. Authorship roles differ across the two 2026 preprints: first author on the robust-MDP theory paper and last author on Rolling-WAM.
Activity32/100
Activity scores 32, reflecting a thin recent record: countsByYear contains a single entry (2026: 2) and recent3yWorks equals 2. Both works are 2026 arXiv preprints — one first-authored theory paper and one last-authored systems paper — with no indexed output in earlier years in this snapshot. The score indicates an early or newly visible publication cadence rather than sustained multi-year throughput, and should be re-read as new works are indexed.
Reproducibility—
Reproducibility measures code, data, and artifact availability supporting published results. Evolve rates both reviewed papers at medium repro readiness, but the snapshot contains no axis-level artifact evidence, so this dimension is left unscored rather than estimated from the two paper-level ratings.
Research summary
Yue Wang is an early-stage researcher whose public bibliographic footprint — resolved from OpenAlex — currently centers on two 2026 arXiv preprints at the intersection of robust decision theory and learned robot control. The first-authored 'Vector Bellman Theory for Multichain Robust Average-Reward Markov Decision Processes' develops vector-valued Bellman operator machinery for multichain robust average-reward MDPs under (s,a)-rectangular ambiguity, using Halpern iteration; Evolve's review calls the theory solid but notes reliance on an exact Bellman oracle and toy-scale experiments. The last-authored 'Rolling-WAM: World Action Models with Rolling Imagination' applies rolling diffusion and flow matching to spread world-action-model video-action denoising across replans, reporting 4.5x faster closed-loop inference with competitive simulated and real-robot manipulation results, though without statistical tests. The snapshot records an h-index and i10-index of 0, two works in the recent three-year window (both in 2026), and 11 distinct coauthors including George Atia, Yinghua Zhou, Gaurav Sukhatme, Vitor Guizilini, Basile Van Hoorick, and Hao Dong. Indexed topics span stability and control of uncertain systems, reinforcement learning in robotics, robot manipulation and learning, GAN-based image synthesis, and human pose and action recognition. Radar scores exist only for collaboration (50) and activity (32); output, impact, focus, and reproducibility currently lack sufficient data to score.
Collaboration pattern
The snapshot records 11 distinct coauthors and a mid-range collaboration score of 50. The frequent-coauthor list includes George Atia, Yinghua Zhou, Junjie Ye, Yiqi Zhao, Hao Dong, Celina Shiyu Wang, Ruohai Ge, Tingyi Yang, Basile Van Hoorick, Gaurav Sukhatme, and Vitor Guizilini, suggesting collaboration across both the robust-MDP theory and robot-learning lines, though the data does not map individual coauthors to specific papers. Author roles alternate between first and last author across the two preprints.
Research keywords
Highlights
Rolling-WAM: 4.5x faster world-action-model inference via rolling diffusion
First-author vector Bellman theory for multichain robust average-reward MDPs
Timeline
- 2026First-authored 'Vector Bellman Theory for Multichain Robust Average-Reward Markov Decision Processes' posted to arXiv, developing vector Bellman operator theory under (s,a)-rectangular ambiguity.
- 2026Last-authored 'Rolling-WAM: World Action Models with Rolling Imagination' posted to arXiv, using rolling diffusion and flow matching for 4.5x faster closed-loop inference.
- 2026OpenAlex snapshot records 2 works in 2026, 11 distinct coauthors, and an h-index and i10-index of 0, marking the visible start of this profile.
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 come from an OpenAlex-resolved profile; 'Yue Wang' is a common name, so this profile is name-resolved from public bibliographic data and may include homonym records.
- No institution, country, or ORCID is provided in the input data, so affiliation and geography are unknown.
- Both catalog papers are 2026 arXiv preprints; h-index and i10-index are recorded as 0, reflecting an early-stage citation record rather than measured impact.
- Output, impact, focus, and reproducibility axes are unscored (dimMissing); only collaboration (50) and activity (32) are computed, from 11 distinct coauthors and 2 recent works.