Peer Review

I serve as an invited peer reviewer for journals and as a program committee member for the International Conference on Document Analysis and Recognition (ICDAR). My reviews focus on math and chemical diagram recognition, document understanding, graph neural networks, and multimodal / vision-language models.

26Verified peer reviews
3Venues (2 journals, 1 conference)
3×ICDAR Program Committee
★IAPR Outstanding Reviewer, ICDAR 2025

Recognition

Journal Reviewing

JournalPublisherYearsReviewsEvidence
Pattern RecognitionElsevier2024 – 20267 (incl. multi-round revisions)Certificate of Reviewing
International Journal on Document Analysis and Recognition (IJDAR)Springer2024 – 202522024 certificate · 2025 certificate

Conference Program Committee

ConferenceLocationRoleReviews
ICDAR 2026, 20th International Conference on Document Analysis and RecognitionVienna, AustriaProgram Committee Member6
ICDAR 2025, 19th International Conference on Document Analysis and RecognitionWuhan, ChinaProgram Committee Member · Outstanding Reviewer6
ICDAR 2023, 17th International Conference on Document Analysis and RecognitionSan José, CA, USAProgram Committee Member5

Topics Reviewed

Handwritten and printed mathematical expression recognition · molecular image recognition · graph neural networks for document and diagram understanding · document retrieval for retrieval-augmented generation (RAG) · vision-language models for document generation and understanding · evaluation of multimodal large models on formula recognition · writer identification.

Independent Verification

Manuscript titles, identifiers, and review content are kept confidential in line with each venue's reviewer policy.