Guanjie Zheng

Control and Systems Engineering · 2018–2020

A researcher in the Science corpus: 7 papers; trusts 25 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 45 citations into it; #2,791 of 8,257 by trust here, #2,295 by citations
• Building and Construction — 42 citations into it; #630 of 2,909 by trust here, #824 by citations
• Artificial Intelligence — 38 citations into it
• Transportation — 36 citations into it
• Information Systems — 33 citations into it
• Reinforcement Learning — 23 citations into it
• Computer Networks and Communications — 11 citations into it
• Automotive Engineering — 7 citations into it; #1,405 of 3,081 by trust here, #1,686 by citations

Whom Guanjie Zheng trusts overall

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

1. Richard S. Sutton
2. Marco A. Wiering
3. Hua Wei
4. Andrew Barto
5. van der D David Pol
6. Lihong Li
7. Qingyun Wu
8. Andrew Trotman
9. Pravin Pratap Varaiya
10. Liang Tang

Who trusts Guanjie Zheng overall

1. Hua Wei
2. Chacha Chen
3. Saeed Rahmani
4. Jiawei Chen
5. Nan Xu
6. Zhi Zhang
7. Asiye Baghbani
8. Zhuangdi Zhu
9. Afshin Oroojlooyjadid

Papers from Guanjie Zheng's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Reinforcement Learning: An Introduction
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• DRN: A Deep Reinforcement Learning Framework for News Recommendation (2018) — 748 citations
• Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control (2020) — 480 citations
• CoLight: Learning Network-level Cooperation for Traffic Signal Control (2019) — 527 citations
• PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network (2019) — 485 citations
• A Survey on Traffic Signal Control Methods (2019) — 297 citations
• IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control (2018) — 771 citations
• Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction (2018) — 833 citations