| 2026 | ACL | VEG: Verbal ε-greedy for Semantic Exploration in Multi-Turn RL Agents. | Yongchang Hao, Jie Hao, Yongsheng Mei, Ze Ye, Junyi Chai, Bin Guo, Benjamin Z. Yao, Chenlei Guo, Lili Mou |
| 2026 | ISPASS | RACER: A Caching Layer based Optimization for Accelerating Reinforcement Learning Workloads. | Kailash Gogineni, Yongsheng Mei, Karthikeya Gogineni, Peng Wei, Tian Lan, Guru Venkataramani |
| 2025 | INFOCOM | LAMPS: Learning-based Mobility Planning via Posterior State Inference using Gaussian Cox Process Models. | Egemen Erbayat, Yongsheng Mei, Gina C. Adam, Suresh Subramaniam, Sean M. Coffey, Nathaniel D. Bastian, Tian Lan |
| 2024 | ICLR | Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. | Yongsheng Mei, Mahdi Imani, Tian Lan |
| 2023 | ECAI | A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. | Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam |
| 2021 | SecureComm | MPD: Moving Target Defense Through Communication Protocol Dialects. | Yongsheng Mei, Kailash Gogineni, Tian Lan, Guru Venkataramani |