Twin-Finder: Integrated Reasoning Engine for Pointer-Related Code Clone Detection. - Hongfa Xue; Yongsheng Mei; Kailash Gogineni; Guru Venkataramani; Tian Lan 001 (IWSC, 2020)

MPD: Moving Target Defense Through Communication Protocol Dialects. - Yongsheng Mei; Kailash Gogineni; Tian Lan 001; Guru Venkataramani (SecureComm (1), 2021)

Integrated Reasoning Engine for Pointer-related Code Clone Detection. - Hongfa Xue; Yongsheng Mei; Kailash Gogineni; Guru Venkataramani; Tian Lan 001 (CoRR, 2021)

Verify-Pro: A Framework for Server Authentication Using Communication Protocol Dialects. - Kailash Gogineni; Yongsheng Mei; Guru Venkataramani; Tian Lan 001 (MILCOM, 2022)

A Framework for Server Authentication using Communication Protocol Dialects. - Kailash Gogineni; Yongsheng Mei; Guru Venkataramani; Tian Lan 001 (CoRR, 2022)

A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions. - Yongsheng Mei; Tian Lan 001; Mahdi Imani; Suresh Subramaniam 001 (CoRR, 2022)

AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-Aware Prioritization. - Kailash Gogineni; Yongsheng Mei; Tian Lan 001; Peng Wei; Guru Venkataramani (ASAP, 2023)

MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. - Yongsheng Mei; Hanhan Zhou; Tian Lan 001; Guru Venkataramani; Peng Wei (AAMAS, 2023)

A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. - Yongsheng Mei; Tian Lan 001; Mahdi Imani; Suresh Subramaniam 001 (ECAI, 2023)

Exploiting Partial Common Information Microstructure for Multi-modal Brain Tumor Segmentation. - Yongsheng Mei; Guru Venkataramani; Tian Lan 001 (ML4MHD, 2023)

ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning. - Yongsheng Mei; Hanhan Zhou; Tian Lan 001 (CoRR, 2023)

Real-time Network Intrusion Detection via Decision Transformers. - Jingdi Chen; Hanhan Zhou; Yongsheng Mei; Gina C. Adam; Nathaniel D. Bastian; Tian Lan 001 (CoRR, 2023)

Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning. - Yongsheng Mei; Hanhan Zhou; Tian Lan 001 (AAMAS, 2024)

Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. - Yongsheng Mei; Mahdi Imani; Tian Lan 001 (ICLR, 2024)

Characterizing and Optimizing the End-to-End Performance of Multi-Agent Reinforcement Learning Systems. - Kailash Gogineni; Yongsheng Mei; Karthikeya Gogineni; Peng Wei; Tian Lan 001; Guru Venkataramani (IISWC, 2024)

RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. - Jingdi Chen; Hanhan Zhou; Yongsheng Mei; Carlee Joe-Wong; Gina C. Adam; Nathaniel D. Bastian; Tian Lan 001 (NeurIPS, 2024)

Using Diffusion Models as Generative Replay in Continual Federated Learning - What will Happen? - Yongsheng Mei; Liangqi Yuan; Dong-Jun Han; Kevin S. Chan; Christopher G. Brinton; Tian Lan 001 (CoRR, 2024)

Exploring Effective Fuzzing Strategies to Analyze Communication Protocols. - Yurong Chen 005; Yongsheng Mei; Tian Lan 001; Guru Venkataramani (DTRAP, 2024)

Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. - Jiayu Chen; Bhargav Ganguly; Yang Xu 003; Yongsheng Mei; Tian Lan 001; Vaneet Aggarwal (Trans. Mach. Learn. Res., 2024)