activity
20232026
most citedAccurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design

Zaifei Yang, Weiyu Chen, Yaqing Wang +1

Structure-based drug design increasingly employs LLM agents to iteratively refine ligands against a target pocket, yet a viable ligand must satisfy two often-conflicting objectives…

q-bio.QM2026

Enhancing Protein-Protein Interaction Prediction with Hierarchical Motif-based Multimodal Protein Embedding

Zaifei Yang, Samuel Ping-Man Choi, James Kwok

Protein-protein interactions (PPIs) are essential for many biological processes. However, existing PPI prediction approaches suffer from two major limitations: they overlook the hi…

q-bio.BM2025

KnowMol: Advancing Molecular Large Language Models with Multi-Level Chemical Knowledge

Zaifei Yang, Hong Chang, Ruibing Hou +2

The molecular large language models have garnered widespread attention due to their promising potential on molecular applications. However, current molecular large language models…

cs.CV2024

HERM: Benchmarking and Enhancing Multimodal LLMs for Human-Centric Understanding

Keliang Li, Zaifei Yang, Jiahe Zhao +5

The significant advancements in visual understanding and instruction following from Multimodal Large Language Models (MLLMs) have opened up more possibilities for broader applicati…

cs.LG2023★ 3 cited

Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning

Yaqing Wang, Zaifei Yang, Quanming Yao

Background: Discovering potential drug-drug interactions (DDIs) is a long-standing challenge in clinical treatments and drug developments. Recently, deep learning techniques have b…