Ang Li
Pacific Northwest National Laboratory(US)
Publications by Year
Research Areas
Quantum Computing Algorithms and Architecture, Parallel Computing and Optimization Techniques, Quantum Information and Cryptography, Advanced Neural Network Applications, Advanced Graph Neural Networks
Most-Cited Works
- → AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing(2020)277 cited
- → Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect(2019)262 cited
- → ETA Prediction with Graph Neural Networks in Google Maps(2021)199 cited
- → Superneurons(2018)172 cited
- → QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation(2022)146 cited
- Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher(2019)
- → I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization(2021)126 cited
- → Improved Knowledge Distillation via Teacher Assistant(2020)116 cited
- → Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning(2021)101 cited
- → OpenCGRA: An Open-Source Unified Framework for Modeling, Testing, and Evaluating CGRAs(2020)79 cited