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Zijian Wang

4 papers hereh-index 340 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.DB1
  • stat.ME1
same name
  • Zijian Wang — 33 papers, h 12
  • Zijian Wang — 13 papers, h 12
  • Zijian Wang — 10 papers, h 8
  • Zijian Wang — 9 papers, h 4
  • Zijian Wang — 7 papers, h 4
  • Zijian Wang — 6 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

stat.ME2026

Joint Nuclear and ℓ1​ Regularization for Logistic Matrix Regression with Applications to Brain Imaging

Damian Brzyski, Aaron Cohen, Zijian Wang +3

We introduce a new convex optimization framework for logistic scalar-on-matrix regression which incorporates nuclear and ℓ1​ norm penalties to enforce simultaneously low-rank…

cs.CV2026

SkinGPT-X: A Self-Evolving Collaborative Multi-Agent System for Transparent and Trustworthy Dermatological Diagnosis

Zhangtianyi Chen, Yuhao Shen, Florensia Widjaja +6

While recent advancements in Large Language Models have significantly advanced dermatological diagnosis, monolithic LLMs frequently struggle with fine-grained, large-scale multi-cl…

cs.CV2026

Trustworthy and Fair SkinGPT-R1 for Democratizing Dermatological Reasoning across Diverse Ethnicities

Yuhao Shen, Zhangtianyi Chen, Yuanhao He +14

The clinical translation of dermatological AI is hindered by opaque reasoning and systematic performance disparities across skin tones. Here we present SkinGPT-R1, a multimodal lar…

cs.DB2026

Honesty-Aware Multi-Agent Framework for High-Fidelity Synthetic Data Generation in Digital Psychiatric Intake Doctor-Patient Interactions

Xinyuan Zhang, Zijian Wang, Chang Dao +1

Data scarcity and unreliable self-reporting -- such as concealment or exaggeration -- pose fundamental challenges to psychiatric intake and assessment. We propose a multi-agent syn…

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