Yusheng Ji

Computer Networks and Communications · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 41 citations into it
• Electrical and Electronic Engineering — 34 citations into it
• Reinforcement Learning — 7 citations into it

Whom Yusheng Ji trusts overall

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

1. Christoph Sommer
2. András Varga

Papers from Yusheng Ji's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Reinforcement Learning: An Introduction
3. Human-level control through deep reinforcement learning
4. Communication-Efficient Learning of Deep Networks from Decentralized Data
5. What is the best multi-stage architecture for object recognition?
6. TensorFlow: A system for large-scale machine learning
7. Deep Reinforcement Learning with Double Q-Learning
8. Gradient-based learning applied to document recognition
9. Q-learning
10. ImageNet classification with deep convolutional neural networks

Their papers

• Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning (2018) — 524 citations
• Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues (2020) — 333 citations
• AVE: Autonomous Vehicular Edge Computing Framework with ACO-Based Scheduling (2017) — 299 citations