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researcher

J. Deng

4 papers hereh-index 325 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.AI1
same name
  • J. Deng — 92 papers, h 41
  • J. Deng — 91 papers, h 0
  • J. Deng — 59 papers
  • J. Deng — 33 papers, h 5
  • J. Deng — 23 papers, h 5
  • J. Deng — 21 papers, h 21

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedLeveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization

3 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2023★ 1 cited

DataLight: Offline Data-Driven Traffic Signal Control

Liang Zhang, Yutong Zhang, Jianming Deng +1

Reinforcement learning (RL) has emerged as a promising solution for addressing traffic signal control (TSC) challenges. While most RL-based TSC systems typically employ an online a…

cs.LG2022★ 3 cited

DynamicLight: Two-Stage Dynamic Traffic Signal Timing

Liang Zhang, Yutong Zhang, Shubin Xie +2

Reinforcement learning (RL) is gaining popularity as an effective approach for traffic signal control (TSC) and is increasingly applied in this domain. However, most existing RL me…

cs.AI2022

DynLight: Realize dynamic phase duration with multi-level traffic signal control

Liang Zhang, Shubin Xie, Jianming Deng

We would like to withdraw this article for the following reasons: 1 this article is not satisfactory for limited language and theoretical description; 2 we have enriched and revise…

cs.LG2022★ 3 cited

Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization

Liang Zhang, Shubin Xie, Jianming Deng

Reinforcement learning (RL) techniques for traffic signal control (TSC) have gained increasing popularity in recent years. However, most existing RL-based TSC methods tend to focus…

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