Yongsheng Mei

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Multimodal Functions

Communication Protocol

Moving Target Defense

Top Venues

Publications

Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. CoRR (2024)
Yongsheng Mei, Hanhan Zhou, Tian Lan
Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning. AAMAS (2024)
Yongsheng Mei, Mahdi Imani, Tian Lan
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. CoRR (2024)
Yongsheng Mei, Mahdi Imani, Tian Lan
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. ICLR (2024)
Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
Real-time Network Intrusion Detection via Decision Transformers. CoRR (2023)
Kailash Gogineni, Yongsheng Mei, Tian Lan, Peng Wei, Guru Venkataramani
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-Aware Prioritization. ASAP (2023)
Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. AAMAS (2023)
Kailash Gogineni, Yongsheng Mei, Peng Wei, Tian Lan, Guru Venkataramani
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization. CoRR (2023)
Yongsheng Mei, Guru Venkataramani, Tian Lan
Exploiting Partial Common Information Microstructure for Multi-modal Brain Tumor Segmentation. ML4MHD (2023)
Yongsheng Mei, Tian Lan, Guru Venkataramani
Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation. CoRR (2023)
Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. ECAI (2023)
Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. CoRR (2023)
Yongsheng Mei, Hanhan Zhou, Tian Lan
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning. CoRR (2023)
Kailash Gogineni, Yongsheng Mei, Guru Venkataramani, Tian Lan
Verify-Pro: A Framework for Server Authentication Using Communication Protocol Dialects. MILCOM (2022)
Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions. CoRR (2022)
Kailash Gogineni, Yongsheng Mei, Guru Venkataramani, Tian Lan
A Framework for Server Authentication using Communication Protocol Dialects. CoRR (2022)
Yongsheng Mei, Kailash Gogineni, Tian Lan, Guru Venkataramani
MPD: Moving Target Defense through Communication Protocol Dialects. CoRR (2021)
Yongsheng Mei, Kailash Gogineni, Tian Lan, Guru Venkataramani
MPD: Moving Target Defense Through Communication Protocol Dialects. SecureComm (1) (2021)
Hongfa Xue, Yongsheng Mei, Kailash Gogineni, Guru Venkataramani, Tian Lan
Integrated Reasoning Engine for Pointer-related Code Clone Detection. CoRR (2021)
Hongfa Xue, Yongsheng Mei, Kailash Gogineni, Guru Venkataramani, Tian Lan
Twin-Finder: Integrated Reasoning Engine for Pointer-Related Code Clone Detection. IWSC (2020)