Weixun Wang
United States Military Academy(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Parallel Computing and Optimization Techniques, Embedded Systems Design Techniques, Real-Time Systems Scheduling, Topic Modeling
Most-Cited Works
- → Quantification of Proteins and Metabolites by Mass Spectrometry without Isotopic Labeling or Spiked Standards(2003)648 cited
- → De novo amyloid proteins from designed combinatorial libraries(1999)324 cited
- → Multi-Agent Game Abstraction via Graph Attention Neural Network(2020)228 cited
- → Rationally designed mutations convertde novoamyloid-like fibrils into monomeric β-sheet proteins(2002)160 cited
- → A Series of Novel, Highly Potent, and Orally Bioavailable Next-Generation Tricyclic Peptide PCSK9 Inhibitors(2021)140 cited
- → Dipeptidyl Peptidase 4 Inhibition Stimulates Distal Tubular Natriuresis and Increases in Circulating SDF-1α1-67 in Patients With Type 2 Diabetes(2017)102 cited
- → From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning(2020)100 cited
- → Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping(2020)94 cited
- → Self-assembled monolayers from a designed combinatorial library of de novo β-sheet proteins(2001)85 cited
- → Dynamic cache reconfiguration and partitioning for energy optimization in real-time multi-core systems(2011)76 cited