4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Learning Implicit Bias in Generative Spaces for Accelerating Protein Dynamics Emulation
Kaihui Cheng, Zhiqiang Cai, Wenkai Xiang +4
Generative emulators of protein dynamics produce plausible trajectories at a fraction of the cost of molecular dynamics, but they inherit their training distribution and tend to re…
q-bio.QM2024★ 3 cited
Progress and Opportunities of Foundation Models in Bioinformatics
Qing Li, Zhihang Hu, Yixuan Wang +5
Bioinformatics has witnessed a paradigm shift with the increasing integration of artificial intelligence (AI), particularly through the adoption of foundation models (FMs). These A…
cs.LG2023★ 4 cited
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning
Zhihang Hu, Qinze Yu, Yucheng Guo +5
Drug combination therapy is a well-established strategy for disease treatment with better effectiveness and less safety degradation. However, identifying novel drug combinations th…