Yuxin Zhang

Sichuan University

Unclaimed · AI-structured profileOpenAlex

Sichuan University researcher bridging biomedical NLP and AI-generated image detection through 2026 arXiv work

papers here

reviewed by Evolve

first-author

corresponding

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works · OpenAlex

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h-index · OpenAlex

Bibliometric figures come from OpenAlex (2026-10-16) 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 yet scored: publication-volume data is insufficient for this profile. This axis would measure total and per-year paper counts, authorship positions, and venue types — none of which can be derived from the two reviewed arXiv preprints alone.

Impact—

Not yet scored: citation and influence data are unavailable. This axis would measure citation counts, h-index-style indicators, and uptake of the two datasets and methods by other groups — none of it is present in the current snapshot.

Focus0/100

A focus score of 0 reflects an unusually even split: the field distribution is exactly 50% biomedical natural language processing and 50% computer vision for AI-generated image detection, with one reviewed paper in each. There is no dominant field yet, and the two lines address different problems — ontology normalization versus synthetic-image detection. Whether this is a deliberate bridge or an exploratory phase cannot be judged from two papers.

Collaboration59/100

A collaboration score of 59 rests on 18 distinct coauthors across the reviewed work, with 12 recurring partners listed, including Jie Song, Zhichuan Xu, Ziyu Lu, Meng Xiao, Cheng Bi, Xin Zheng, Xiaoran Li, Qiongfang Cao, Hao Yang, Bairong Shen, Dennis Ng, and Xingyu Shen. Both catalog papers are middle-authored and non-corresponding, suggesting Zhang operates within larger team-based projects rather than leading them.

Activity—

Not yet scored: recent-output cadence cannot be established. This axis would measure publication frequency over recent years and the recency of contributions; the snapshot only confirms two preprints dated 2026, with no multi-year history.

Reproducibility55/100

A reproducibility score of 55 is the mean readiness rating across exactly two papers, both judged medium. Evolve's verdicts support this reading: the ChatGPT Images 2.5 dataset paper is transparent with candid limits but reports weak detector results, while OntologyAligner provides rigorous statistics on a 13,390-sample benchmark yet depends on costly LLM inference and shows a small gain. Open practices are present, but independent replication effort remains nontrivial.

Research summary

Yuxin Zhang is a researcher at Sichuan University whose Evolve-reviewed work to date spans two distinct areas: biomedical natural language processing and computer vision for AI-generated image detection. This profile is name-resolved from public bibliographic data and rests on two 2026 arXiv preprints, in both of which Zhang is a middle-listed, non-corresponding author. The first, OntologyAligner, couples ontology-aligned retrieval with hierarchy-guided LLM reranking and refinement for biomedical ontology normalization, claiming state-of-the-art HPO normalization on a 13,390-sample benchmark; Evolve credits its rigorous statistics but notes LLM inference cost and a small gain temper the result. The second, ChatGPT Images 2.5 in the Wild, curates a launch-period dataset and evaluates detectors; Evolve calls it an honest, transparent dataset paper with candid attribution limits, though detector results are weak and cross-cohort contrasts exploratory. Radar signals show a collaboration score of 59 built on 18 distinct coauthors with 12 recurring partners, a reproducibility score of 55 as the mean readiness across exactly two medium-rated papers, and a focus score of 0 reflecting an exact 50/50 split across the two fields. Output, impact, and activity axes lack sufficient data and are left unscored.

Collaboration pattern

Yuxin Zhang works in sizeable teams: the reviewed work involves 18 distinct coauthors, 12 of whom recur — including Jie Song, Zhichuan Xu, Ziyu Lu, Meng Xiao, Cheng Bi, Xin Zheng, Xiaoran Li, Qiongfang Cao, Hao Yang, Bairong Shen, Dennis Ng, and Xingyu Shen. In both catalog papers Zhang is a middle-listed, non-corresponding author, consistent with a contributor role inside established groups rather than independent lab leadership.

Research keywords

AI-generated image detectiondataset curationgenerator attributionC2PA provenancedetector benchmarkingbiomedical ontology normalizationHuman Phenotype Ontology (HPO)entity linkingLLM rerankingcontrastive learning (InfoNCE)retrieval-augmented disambiguationlarge language models

Highlights

OntologyAligner: retrieval plus LLM reranking for HPO normalization
Evolve-reviewed 2026 arXiv preprint claiming state-of-the-art Human Phenotype Ontology normalization on a 13,390-sample benchmark via ontology-aligned retrieval, hierarchy-guided LLM reranking, and refinement; statistics are rigorous, but LLM inference cost and a small gain temper the contribution.
Launch-period ChatGPT Images 2.5 dataset with candid limits
A transparent 2026 launch-window dataset of ChatGPT Images 2.5 outputs with detector evaluation; Evolve calls it an honest dataset paper, though detector results are weak, cross-cohort contrasts are exploratory, and attribution limits are disclosed candidly.
Two-field debut within a single year
The bibliometric snapshot shows an exact 50/50 field split — biomedical natural language processing and AI-generated image detection — with both 2026 preprints middle-authored among 18 distinct coauthors and both rated medium for reproducibility readiness.

Timeline

2026OntologyAligner appears on arXiv, proposing ontology-aligned retrieval and hierarchy-guided LLM reranking for biomedical ontology normalization, evaluated on a 13,390-sample benchmark.
2026ChatGPT Images 2.5 in the Wild is released on arXiv, curating a launch-period dataset with detector evaluation for AI-generated image detection.
2026Both preprints enter the Evolve catalog, each with Zhang as a middle-listed, non-corresponding author and a medium reproducibility-readiness rating.

Papers in the Evolve catalog

Frequent co-authors

Jie Song×1 Zhichuan Xu×1 Ziyu Lu×1 Meng Xiao×1 Cheng Bi×1 Xin Zheng×1 Xiaoran Li×1 Qiongfang Cao×1 Hao Yang×1 Bairong Shen×1 Dennis Ng×1 Xingyu Shen×1

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.

Yuxin Zhang is a common name; this profile is name-resolved from public bibliographic data and could conflate homonyms.
Dimension scores derive from a small bibliometric snapshot; output, impact, and activity axes are missing entirely.
Evidence covers two 2026 arXiv preprints reviewed by Evolve; no peer-reviewed venue, funding, or award information is included.
No ORCID or country record is available, and the reproducibility score rests on only two medium-readiness ratings.