Peiyuan Liao
Carnegie Mellon University(US)
Publications by Year
Research Areas
Advanced Graph Neural Networks, Adversarial Robustness in Machine Learning, Explainable Artificial Intelligence (XAI), Topic Modeling, Parallel Computing and Optimization Techniques
Most-Cited Works
- → The ArtBench Dataset: Benchmarking Generative Models with Artworks(2022)13 cited
- Graph Adversarial Networks: Protecting Information against Adversarial Attacks(2021)
- → Google Landmark Recognition 2020 Competition Third Place Solution(2020)9 cited
- → Mechanism of miR-338-3p in sepsis-induced acute lung injury via indirectly modulating ATF4(2022)8 cited
- → Information Obfuscation of Graph Neural Networks(2020)8 cited
- → GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism(2025)5 cited
- → Deep Neural Network Based Subspace Learning of Robotic Manipulator Workspace Mapping(2018)5 cited
- → CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders(2019)4 cited
- → Collage(2022)4 cited