Jingtong Hu

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Model Architectures — 8 citations into it

Whom Jingtong Hu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. John H. Holland

Papers from Jingtong Hu's perspective

Ordered by how strongly the researchers Jingtong Hu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural Architecture Search with Reinforcement Learning
2. Learning Transferable Architectures for Scalable Image Recognition
3. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
4. Genetic CNN
5. Designing Neural Network Architectures using Reinforcement Learning
6. Hierarchical Representations for Efficient Architecture Search
7. Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
8. The NP-Completeness Column: An Ongoing Guide
9. HAQ: Hardware-Aware Automated Quantization With Mixed Precision
10. A genetic algorithm for flowshop sequencing

Their papers

• Hardware/Software Co-Exploration of Neural Architectures (2019) — 146 citations
• Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search (2019) — 132 citations
• A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues (2014) — 385 citations