activity
20222026
most citedDrugPilot: LLM-based Parameterized Reasoning Agent for Drug Discovery

3 citations · 6 across the 18 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.LG2026

Architecture-Aware Explanation Auditing for Industrial Visual Inspection

Sibo Jia, Zihang Zhao, Kunrong Li

Industrial visual inspection systems increasingly rely on deep classifiers whose heatmap explanations may appear visually plausible while failing to identify the image regions that…

physics.chem-ph2026

UniField: RBF-Guided Electron Density Fusion for Enhanced Molecular Representations

Wei Zhang, Kun Li, Jiameng Chen +4

Current 3D geometric molecular representations predominantly focus on discrete atomic skeletons, inherently overlooking the continuous electron density (ED) field that fundamentall…

cs.LG2026

When Molecular Similarity Works: Property Cliffs Reveal Hidden Errors

Di Hu, Kun Li, Haojie Rao +6

Accurate prediction of molecular properties underpins drug discovery and material design, yet even state-of-the-art models remain vulnerable to localized failure modes that aggrega…

cs.LG2026

Learning to Select Source Domains: Proxy-Rewarded Policy Optimization for Molecular OOD Generalization

Zhuohao Lin, Kun Li, Jiameng Chen +4

Molecular property prediction under severe out-of-distribution (OOD) shifts remains challenging because conventional scaffold splits can retain local structural similarity between…

cs.AI2026

From Single-Step Edit Response to Multi-Step Molecular Optimization

Haojie Rao, Kun Li, Yida Xiong +5

Conditional molecular optimization aims to edit a molecule to realize a specified property shift. In practice, structurally similar molecule data is scarce, while decisions are inh…

q-bio.BM2026

PCEvo: Path-Consistent Molecular Representation via Virtual Evolutionary

Kun Li, Longtao Hu, Yida Xiong +6

Molecular representation learning aims to learn vector embeddings that capture molecular structure and geometry, thereby enabling property prediction and downstream scientific appl…