1 citations · 1 across the 7 of their papers we have counts for
7 papers
SciFigure2Code: An AI-Reconstructed Benchmark for Scientific Figure-to-Code
Wentao Li, Yibo Wu, Yizhe Chen +5
Scientific figures are the interface through which research claims are inspected and reused, but final published panels rarely expose the data or plotting code that produced them.…
Learning Materials Properties from Scarce Labels and Unlabeled Crystals
Wentao Li, Yizhe Chen, Jiangjie Qiu +3
Learning materials properties from scarce labels and unlabeled crystals is a central challenge for data-driven materials discovery. We present SemiMat, a controlled benchmark for s…
CoMPASS: Collaborative Molecular Property Prediction via Adaptive Small-Large Model Synergy
Wentao Li, Jiangjie Qiu, Yijun Li +2
Accurate molecular property prediction requires both statistical reliability and chemical reasoning. Graph neural networks can be calibrated directly on labeled assays but remain l…
ChemWorld: Programmable Chemical Worlds for Controlled and Replayable Agent Experimentation
Jiangjie Qiu, Yijun Li, Xiaonan Wang
Autonomous chemistry increasingly depends on environments in which agents can repeatedly act, observe, and adapt.Physical laboratories provide essential real-material evidence but…
DriftingMol: Decoder-Coupled Drift for One-Pass Property-Conditional Molecular Generation
Jiangjie Qiu, Yijun Li, Wentao Li +1
Property-conditional molecular generation should produce valid, diverse molecules while responding to continuous target values at low sampling cost. We introduce DriftingMol, a two…
SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance
Guibao Shen, Luozhou Wang, Jiantao Lin +9
Recent advancements in text-to-image generation have been propelled by the development of diffusion models and multi-modality learning. However, since text is typically represented…
Motion Inversion for Video Customization
Luozhou Wang, Ziyang Mai, Guibao Shen +6
In this work, we present a novel approach for motion customization in video generation, addressing the widespread gap in the exploration of motion representation within video gener…