Yongsheng Mei

28 papers A* 2A 3Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations.
CoRR
Shu Hong, Yongsheng Mei, Mahdi Imani, Tian Lan
2025 — conf
LAMPS: Learning-based Mobility Planning via Posterior State Inference using Gaussian Cox Process Models.
INFOCOM WKSHPS
Egemen Erbayat, Yongsheng Mei, Gina C. Adam, Suresh Subramaniam, Sean M. Coffey, Nathaniel D. Bastian, Tian Lan
2024 A* conf
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data.
ICLR
Yongsheng Mei, Mahdi Imani, Tian Lan
2024 J jnl
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data.
CoRR
Yongsheng Mei, Mahdi Imani, Tian Lan
2024 — conf
Characterizing and Optimizing the End-to-End Performance of Multi-Agent Reinforcement Learning Systems.
IISWC
Kailash Gogineni, Yongsheng Mei, Karthikeya Gogineni, Peng Wei, Tian Lan, Guru Venkataramani
2024 J jnl
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions.
CoRR
Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal
2024 J jnl
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions.
Trans. Mach. Learn. Res.
Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal
2024 J jnl
Exploring Effective Fuzzing Strategies to Analyze Communication Protocols.
DTRAP
Yurong Chen, Yongsheng Mei, Tian Lan, Guru Venkataramani
2024 A conf
Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning.
AAMAS
Yongsheng Mei, Hanhan Zhou, Tian Lan
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
2024 J jnl
Using Diffusion Models as Generative Replay in Continual Federated Learning - What will Happen?
CoRR
Yongsheng Mei, Liangqi Yuan, Dong-Jun Han, Kevin S. Chan, Christopher G. Brinton, Tian Lan
2023 A conf
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions.
ECAI
Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
2023 — conf
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-Aware Prioritization.
ASAP
Kailash Gogineni, Yongsheng Mei, Tian Lan, Peng Wei, Guru Venkataramani
2023 J jnl
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization.
CoRR
Kailash Gogineni, Yongsheng Mei, Peng Wei, Tian Lan, Guru Venkataramani
2023 J jnl
Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation.
CoRR
Yongsheng Mei, Tian Lan, Guru Venkataramani
2023 — conf
Exploiting Partial Common Information Microstructure for Multi-modal Brain Tumor Segmentation.
ML4MHD
Yongsheng Mei, Guru Venkataramani, Tian Lan
2023 A conf
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization.
AAMAS
Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei
2023 J jnl
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization.
CoRR
Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei
2023 J jnl
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning.
CoRR
Yongsheng Mei, Hanhan Zhou, 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
2022 J jnl
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions.
CoRR
Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
2022 J jnl
A Framework for Server Authentication using Communication Protocol Dialects.
CoRR
Kailash Gogineni, Yongsheng Mei, Guru Venkataramani, Tian Lan
2022 — conf
Verify-Pro: A Framework for Server Authentication Using Communication Protocol Dialects.
MILCOM
Kailash Gogineni, Yongsheng Mei, Guru Venkataramani, Tian Lan
2021 J jnl
Integrated Reasoning Engine for Pointer-related Code Clone Detection.
CoRR
Hongfa Xue, Yongsheng Mei, Kailash Gogineni, Guru Venkataramani, Tian Lan
2021 — conf
MPD: Moving Target Defense Through Communication Protocol Dialects.
SecureComm (1)
Yongsheng Mei, Kailash Gogineni, Tian Lan, Guru Venkataramani
2021 J jnl
MPD: Moving Target Defense through Communication Protocol Dialects.
CoRR
Yongsheng Mei, Kailash Gogineni, Tian Lan, Guru Venkataramani
2020 — conf
Twin-Finder: Integrated Reasoning Engine for Pointer-Related Code Clone Detection.
IWSC
Hongfa Xue, Yongsheng Mei, Kailash Gogineni, Guru Venkataramani, Tian Lan