Jiepin Ding

Orcid: 0000-0002-3924-5107

According to our database1, Jiepin Ding authored at least 13 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Effective reinforcement learning-based dynamic flexible job shop scheduling using two-stage dispatching.
J. Syst. Archit., 2026

2025
Energy-Efficient Shop Scheduling Using Space-Cooperation Multi-Objective Optimization.
IEEE Trans. Sustain. Comput., 2025

Multi-Objective Deep Reinforcement Learning for Function Offloading in Serverless Edge Computing.
IEEE Trans. Serv. Comput., 2025

2024
Knowledge-Based Effective Dispatch for Job Shop Scheduling.
J. Circuits Syst. Comput., October, 2024

2023
FairLight: Fairness-Aware Autonomous Traffic Signal Control With Hierarchical Action Space.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

A Survey of AI-enabled Dynamic Manufacturing Scheduling: From Directed Heuristics to Autonomous Learning.
ACM Comput. Surv., 2023

InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
reinforcement learning for DFJSP.
Dataset, May, 2022

IPDALight: Intensity- and phase duration-aware traffic signal control based on Reinforcement Learning.
J. Syst. Archit., 2022

Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Enumeration and Deduction Driven Co-Synthesis of CCSL Specifications using Reinforcement Learning.
Proceedings of the 42nd IEEE Real-Time Systems Symposium, 2021

2020
Energy-efficient bi-objective manufacturing scheduling with intermediate buffers using a three-stage genetic algorithm.
J. Intell. Fuzzy Syst., 2020

2019
Robust and stable multi-task manufacturing scheduling with uncertainties using a two-stage extended genetic algorithm.
Enterp. Inf. Syst., 2019


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