activity
20222026
most citedUnraveling the Potential of Diffusion Models in Small Molecule Generation

8 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.BM2026

PocketVE: Stable and Property-Guided Structure-Based Drug Design with Variance-Exploding Diffusion

Peining Zhang, Jinbo Bi

Protein-conditioned 3D molecule generation is a central challenge in structure-based drug design, requiring a balance between pocket compatibility, molecular properties, and physic…

physics.chem-ph2025

VEDA: Generation of 3D Molecules via Variance-Exploding Diffusion with Annealing

Peining Zhang, Jinbo Bi, Minghu Song

Diffusion models show promise for 3D molecular generation, but face a fundamental trade-off between sampling efficiency and conformational accuracy. While flow-based models are fas…

cs.LG2025

Zero-Shot Transfer Capabilities of the Sundial Foundation Model for Leaf Area Index Forecasting

Peining Zhang, Hongchen Qin, Haochen Zhang +3

This work investigates the zero-shot forecasting capability of time series foundation models for Leaf Area Index (LAI) forecasting in agricultural monitoring. Using the HiQ dataset…

q-bio.BM2025★ 8 cited

Unraveling the Potential of Diffusion Models in Small Molecule Generation

Peining Zhang, Daniel Baker, Minghu Song +1

Generative AI presents chemists with novel ideas for drug design and facilitates the exploration of vast chemical spaces. Diffusion models (DMs), an emerging tool, have recently at…

cs.SD2022

Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation

Peining Zhang, Junliang Guo, Linli Xu +2

We consider a novel task of automatically generating text descriptions of music. Compared with other well-established text generation tasks such as image caption, the scarcity of w…