most citedMulti-Alignment Contrastive Learning for Enzyme--Reaction Retrieval

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding

Wenda Wang, Yihan Tong, Yuwei Hu +4

Using molecular large language models (LLMs) as a unified framework for understanding molecular structures and functions is emerging as a new trend in tasks such as molecular desig…

q-bio.BM20261 cited

Multi-Alignment Contrastive Learning for Enzyme--Reaction Retrieval

Gengmo Zhou, Feng Yu, Wenda Wang +4

Identifying enzymes that catalyze target biochemical reactions is a key step in computational enzyme discovery and biocatalyst design. Recent representation-learning methods formul…

cs.CV2026

ArchSIBench: Benchmarking the Architectural Spatial Intelligence of Vision-Language Models

Qirui Shen, Wenda Wang, Jiachen Lu +5

Architectural spatial intelligence, the ability to recognize and infer architectural space, is fundamental to tasks such as robot navigation, embodied interaction, and 3D scene und…

cs.CV2026

Sketch2MinSurf: Vision-Language Guided Generation of Editable Minimal Surfaces from Hand-Drawn Sketches

Wenda Wang, Anqi Liu, Junqi Yang +4

Converting hand-drawn sketches into structured 3D geometries remains challenging due to the difficulty of representing non-Euclidean surfaces and maintaining topological consistenc…

q-bio.QM2026

AbFlow : End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching

Wenda Wang, Yang Zhang, Zhewei Wei +1

Antigen-antibody binding is a critical process in the immune response. Although recent progress has advanced antibody design, current methods lack a generative framework for end-to…