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Jiepin Ding

2 accepted papers

2023

InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning

IJCAI 2023poster

Due to repetitive trial-and-error style interactions between agents and a fixed traffic environment during the policy learning, existing Reinforcement Learning (RL)-based Traffic Signal Control (TSC) methods greatly suffer from long RL training time and poor adaptability of RL agents to other comple…

Cited by 9SourcePDFScholar
2022

Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation

IJCAI 2022poster

Due to the prosperity of Artificial Intelligence (AI) techniques, more and more backdoors are designed by adversaries to attack Deep Neural Networks (DNNs). Although the state-of-the-art method Neural Attention Distillation (NAD) can effectively erase backdoor triggers from DNNs, it still suffers fr…