2 citations · 2 across the 3 of their papers we have counts for
4 papers
Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference
Xuanning Hu, Anchen Li, Qianli Xing +3
Large Language Models (LLMs) possess strong representation and reasoning capabilities, but their application to structure-based drug design (SBDD) is limited by insufficient unders…
ScreenExplorer: Training a Vision-Language Model for Diverse Exploration in Open GUI World
Runliang Niu, Jinglong Ji, Yi Chang +1
The rapid progress of large language models (LLMs) has sparked growing interest in building Artificial General Intelligence (AGI) within Graphical User Interface (GUI) environments…
ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction
Jiao Huang, Qianli Xing, Jinglong Ji +1
Property prediction is a fundamental task in crystal material research. To model atoms and structures, structures represented as graphs are widely used and graph learning-based met…
PerCNet: Periodic Complete Representation for Crystal Graphs
Jiao Huang, Qianli Xing, Jinglong Ji +1
Crystal material representation is the foundation of crystal material research. Existing works consider crystal molecules as graph data with different representation methods and le…