Jingdi Chen

According to our database, Jingdi Chen authored at least 16 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning.

Hanqing Yang, Jingdi Chen, Marie Siew, Tania Lorido-Botran, Carlee Joe-Wong

CoRR, February, 2025

2024

Multi-Memristor Based Distributed Decision Tree Circuit for Cybersecurity Applications.

Lei Zhang, Joseph Riem, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam

IEEE Trans. Circuits Syst. I Regul. Pap., August, 2024

RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space.

Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Co-Design of Decision Trees for Network Intrusion Detection at the Edge on Digital vs. Analog Hardware.

Joseph Riem, Lei Zhang, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam

Proceedings of the IEEE Military Communications Conference, 2024

RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning.

Jingdi Chen, Tian Lan, Carlee Joe-Wong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs.

Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal

IEEE Trans. Artif. Intell., October, 2023

Real-time Network Intrusion Detection via Decision Transformers.

Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan

CoRR, 2023

Minimizing Return Gaps with Discrete Communications in Decentralized POMDP.

Jingdi Chen, Tian Lan

CoRR, 2023

Scalable Multi-agent Skill Discovery based on Kronecker Graphs.

Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal

CoRR, 2023

Distributional-Utility Actor-Critic for Network Slice Performance Guarantee.

Jingdi Chen, Tian Lan, Nakjung Choi

Proceedings of the Twenty-fourth International Symposium on Theory, 2023

Explainable Learning-Based Intrusion Detection Supported by Memristors.

Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan

Proceedings of the IEEE Conference on Artificial Intelligence, 2023

RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture.

Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

2022

Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs.

Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal

CoRR, 2022

Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs.

Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs.

Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Bringing Fairness to Actor-Critic Reinforcement Learning for Network Utility Optimization.

Jingdi Chen, Yimeng Wang, Tian Lan

Proceedings of the 40th IEEE Conference on Computer Communications, 2021