Dejun Yang
Electrical and Electronic Engineering · 2012–2018
A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 60 citations into it
- Artificial Intelligence — 30 citations into it
- Control and Systems Engineering — 29 citations into it
- Computer Science Applications — 16 citations into it; #1,538 of 1,855 by trust here, #991 by citations
- Management Science and Operations Research — 13 citations into it; #10,659 of 11,946 by trust here, #5,787 by citations
- Transportation — 12 citations into it
- Automotive Engineering — 9 citations into it; #2,511 of 3,081 by trust here, #2,124 by citations
- Computational Theory and Mathematics — 6 citations into it
Whom Dejun Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Roger B. Myerson
- Yaron Singer
- Martin A. Dufwenberg
- Prashanth Mohan
- Uriel Feige
- Adish Kumar Singla
- Baik Hoh
- V. Padmanabhan
- Sasank Reddy
- Vahab S. Mirrokni
Who trusts Dejun Yang overall
Papers from Dejun Yang's perspective
Ordered by how strongly the researchers Dejun Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Et al
- Asynchronous Methods for Deep Reinforcement Learning
- Reinforcement Learning: An Introduction
- Learning Deep Architectures for AI
- Nericell: rich monitoring of road and traffic conditions using mobile smartphones (ACM International Conference on Embedded Networked Sensor Systems)
- Extracting and composing robust features with denoising autoencoders
- Deep Learning
- Learning Multiple Layers of Features from Tiny Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing (2012) — 1,031 citations
- Incentive Mechanisms for Crowdsensing: Crowdsourcing With Smartphones (2016) — 404 citations
- Experience-driven Networking: A Deep Reinforcement Learning based Approach (2018) — 414 citations
- Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach (2017) — 353 citations
- Smart Grid — The New and Improved Power Grid: A Survey (2012) — 355 citations