Yongsheng Mei

According to our database, Yongsheng Mei authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

2024

Exploring Effective Fuzzing Strategies to Analyze Communication Protocols.

Yurong Chen, Yongsheng Mei, Tian Lan, Guru Venkataramani

DTRAP, 2024

Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions.

Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal

CoRR, 2024

Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data.

Yongsheng Mei, Mahdi Imani, Tian Lan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning.

Yongsheng Mei, Hanhan Zhou, Tian Lan

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

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

ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning.

Yongsheng Mei, Hanhan Zhou, Tian Lan

CoRR, 2023

Exploiting Partial Common Information Microstructure for Multi-modal Brain Tumor Segmentation.

Yongsheng Mei, Guru Venkataramani, Tian Lan

Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions.

Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization.

Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-Aware Prioritization.

Kailash Gogineni, Yongsheng Mei, Tian Lan, Peng Wei, Guru Venkataramani

Proceedings of the 34th IEEE International Conference on Application-specific Systems, 2023

2022

A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions.

Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam

CoRR, 2022

A Framework for Server Authentication using Communication Protocol Dialects.

Kailash Gogineni, Yongsheng Mei, Guru Venkataramani, Tian Lan

CoRR, 2022

Verify-Pro: A Framework for Server Authentication Using Communication Protocol Dialects.

Kailash Gogineni, Yongsheng Mei, Guru Venkataramani, Tian Lan

Proceedings of the IEEE Military Communications Conference, 2022

2021

Integrated Reasoning Engine for Pointer-related Code Clone Detection.

Hongfa Xue, Yongsheng Mei, Kailash Gogineni, Guru Venkataramani, Tian Lan

CoRR, 2021

MPD: Moving Target Defense Through Communication Protocol Dialects.

Yongsheng Mei, Kailash Gogineni, Tian Lan, Guru Venkataramani

Proceedings of the Security and Privacy in Communication Networks, 2021

2020

Twin-Finder: Integrated Reasoning Engine for Pointer-Related Code Clone Detection.

Hongfa Xue, Yongsheng Mei, Kailash Gogineni, Guru Venkataramani, Tian Lan

Proceedings of the IEEE 14th International Workshop on Software Clones, 2020