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2020 – today
- 2024
[j2]Lei Zhang
, Joseph Riem, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam:
Multi-Memristor Based Distributed Decision Tree Circuit for Cybersecurity Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 71(8): 3526-3537 (2024)- [c6]Jingdi Chen, Tian Lan, Carlee Joe-Wong:
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning. AAAI 2024: 17327-17336 - [i6]Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. CoRR abs/2410.16517 (2024) - 2023
- [j1]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs. IEEE Trans. Artif. Intell. 4(5): 1141-1153 (2023) - [c5]Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. DSC 2023: 1-8 - [c4]Jingdi Chen, Tian Lan, Nakjung Choi:
Distributional-Utility Actor-Critic for Network Slice Performance Guarantee. MobiHoc 2023: 161-170 - [i5]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Scalable Multi-agent Skill Discovery based on Kronecker Graphs. CoRR abs/2307.11629 (2023) - [i4]Jingdi Chen, Tian Lan:
Minimizing Return Gaps with Discrete Communications in Decentralized POMDP. CoRR abs/2308.03358 (2023) - [i3]Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. CoRR abs/2311.16018 (2023) - [i2]Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
Real-time Network Intrusion Detection via Decision Transformers. CoRR abs/2312.07696 (2023) - 2022
- [c3]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs. AAMAS 2022: 1572-1574 - [c2]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs. NeurIPS 2022 - [i1]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs. CoRR abs/2201.08227 (2022) - 2021
- [c1]Jingdi Chen, Yimeng Wang, Tian Lan:
Bringing Fairness to Actor-Critic Reinforcement Learning for Network Utility Optimization. INFOCOM 2021: 1-10
Coauthor Index
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