activity
20212026
most citedDecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization

8 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery

Yikun Zhang, Xiwei Cheng, Tianyu Liu +2

Building state-of-the-art (SOTA) predictive models for drug discovery requires expensive search over tools, architectures, and training strategies. Current LLM-based agents can fin…

q-bio.BM2024★ 1 cited

Decomposed Direct Preference Optimization for Structure-Based Drug Design

Xiwei Cheng, Xiangxin Zhou, Yuwei Yang +2

Diffusion models have achieved promising results for Structure-Based Drug Design (SBDD). Nevertheless, high-quality protein subpocket and ligand data are relatively scarce, which h…

q-bio.BM2024★ 8 cited

DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization

Xiangxin Zhou, Xiwei Cheng, Yuwei Yang +3

Recently, 3D generative models have shown promising performances in structure-based drug design by learning to generate ligands given target binding sites. However, only modeling t…

math.OC2021★ 1 cited

Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method

Sijin Chen, Xiwei Cheng, Anthony Man-Cho So

This paper proposes a Generalized Power Method (GPM) to tackle the problem of community detection and group synchronization simultaneously in a direct non-convex manner. Under the…

cs.IT2021

Generalized Group Testing

Xiwei Cheng, Sidharth Jaggi, Qiaoqiao Zhou

In the problem of classical group testing one aims to identify a small subset (of size ) diseased individuals/defective items in a large population (of size ). This process i…