Jingdi Chen

22 papers A* 4A 1B 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision Paths.
CoRR
Hanqing Yang, Hyungwoo Lee, Yuhang Yao, Zhiwei Liu, Kay Liu, Jingdi Chen, Carlee Joe-Wong
2026 J jnl
EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents.
CoRR
Hanqing Yang, Shiyu Chen, Narjes Nourzad, Marie Siew, Jingdi Chen, Carlee Joe-Wong
2026 J jnl
The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why - A Survey from MARL to Emergent Language and LLMs.
CoRR
Jingdi Chen, Hanqing Yang, Zongjun Liu, Carlee Joe-Wong
2026 J jnl
The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why - A Survey from MARL to Emergent Language and LLMs.
Trans. Mach. Learn. Res.
Jingdi Chen, Hanqing Yang, Zongjun Liu, Carlee Joe-Wong
2025 J jnl
LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning.
CoRR
Hanqing Yang, Jingdi Chen, Marie Siew, Tania Lorido-Botran, Carlee Joe-Wong
2024 — conf
Co-Design of Decision Trees for Network Intrusion Detection at the Edge on Digital vs. Analog Hardware.
MILCOM
Joseph Riem, Lei Zhang, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2024 J jnl
Multi-Memristor Based Distributed Decision Tree Circuit for Cybersecurity Applications.
IEEE Trans. Circuits Syst. I Regul. Pap.
Lei Zhang, Joseph Riem, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2024 A* conf
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning.
AAAI
Jingdi Chen, Tian Lan, Carlee Joe-Wong
2024 A* conf
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space.
NeurIPS
Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2024 J jnl
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space.
CoRR
Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023 B conf
Distributional-Utility Actor-Critic for Network Slice Performance Guarantee.
MobiHoc
Jingdi Chen, Tian Lan, Nakjung Choi
2023 — conf
Explainable Learning-Based Intrusion Detection Supported by Memristors.
CAI
Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023 J jnl
Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs.
IEEE Trans. Artif. Intell.
Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2023 J jnl
Minimizing Return Gaps with Discrete Communications in Decentralized POMDP.
CoRR
Jingdi Chen, Tian Lan
2023 — conf
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture.
DSC
Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023 J jnl
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture.
CoRR
Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023 J jnl
Real-time Network Intrusion Detection via Decision Transformers.
CoRR
Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023 J jnl
Scalable Multi-agent Skill Discovery based on Kronecker Graphs.
CoRR
Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2022 J jnl
Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs.
CoRR
Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2022 A conf
Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs.
AAMAS
Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2022 A* conf
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs.
NeurIPS
Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2021 A* conf
Bringing Fairness to Actor-Critic Reinforcement Learning for Network Utility Optimization.
INFOCOM
Jingdi Chen, Yimeng Wang, Tian Lan