Chacha Chen

Control and Systems Engineering · International Conference on Information and Knowledge Management · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 28 citations into it; #7,499 of 8,257 by trust here, #4,514 by citations
• Building and Construction — 21 citations into it
• Transportation — 15 citations into it
• Automotive Engineering — 9 citations into it
• Reinforcement Learning — 5 citations into it

Whom Chacha Chen trusts overall

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

1. Hua Wei
2. Pravin Pratap Varaiya
3. van der D David Pol
4. Guanjie Zheng
5. Huichu Zhang
6. Lior Kuyer
7. Baher Abdulhai
8. Samah El-Tantawy
9. Zhenhui Jessie Li
10. Marco A. Wiering

Who trusts Chacha Chen overall

1. Hua Wei
2. Afshin Oroojlooyjadid
3. Guanjie Zheng
4. Davood Hajinezhad

Papers from Chacha Chen's perspective

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

1. Human-level control through deep reinforcement learning
2. Attention is All you Need (Neural Information Processing Systems)
3. Multi-Agent Reinforcement Learning for Traffic Light control
4. Pattern Recognition and Machine Learning
5. Coordinated Deep Reinforcement Learners for Traffic Light Control
6. Graph Attention Networks (International Conference on Learning Representations)
7. Reinforcement learning for true adaptive traffic signal control
8. Max pressure control of a network of signalized intersections
9. Image Captioning with Semantic Attention
10. Reinforcement Learning With Function Approximation for Traffic Signal Control (IEEE transactions on intelligent transportation systems (Print))

Their papers

• 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