Securing Connected Vehicle Applications with an Efficient Dual Cyber- Physical Blockchain Framework. - Xiangguo Liu; Baiting Luo; Ahmed Abdo; Nael B. Abu-Ghazaleh; Qi Zhu 002 (IV, 2021)

Credibility Enhanced Temporal Graph Convolutional Network Based Sybil Attack Detection On Edge Computing Servers. - Baiting Luo; Xiangguo Liu; Qi Zhu 002 (IV, 2021)

Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems. - Shreyas Ramakrishna; Baiting Luo; Yogesh D. Barve; Gabor Karsai; Abhishek Dubey (ICAA, 2022)

ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLA. - Shreyas Ramakrishna; Baiting Luo; Christopher B. Kuhn; Gabor Karsai; Abhishek Dubey (ITSC, 2022)

Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber Physical Systems. - Baiting Luo; Shreyas Ramakrishna; Ava Pettet; Christopher B. Kuhn; Gabor Karsai; Ayan Mukhopadhyay (ICCPS, 2023)

Adaptive Decision-Making in Non-Stationary Markov Decision Processes. - Baiting Luo (AAMAS, 2024)

Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes. - Baiting Luo; Yunuo Zhang; Abhishek Dubey; Ayan Mukhopadhyay (AAMAS, 2024)

Decision Making in Non-Stationary Environments with Policy-Augmented Search. - Ava Pettet; Yunuo Zhang; Baiting Luo; Kyle Hollins Wray; Hendrik Baier; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay (AAMAS, 2024)

Shrinking POMCP: A Framework for Real-Time UAV Search and Rescue. - Yunuo Zhang; Baiting Luo; Ayan Mukhopadhyay; Dániel Stojcsics; Daniel Elenius; Anirban Roy; Susmit Jha; Miklos Maroti; Xenofon D. Koutsoukos; Gabor Karsai; Abhishek Dubey (ICAA, 2024)

Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction. - Baiting Luo; Ava Pettet; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay (ICLR, 2025)

NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes. - Nathaniel S. Keplinger; Baiting Luo; Iliyas Bektas; Yunuo Zhang; Kyle Hollins Wray; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay (CoRR, 2025)

Observation Adaptation via Annealed Importance Resampling for Partially Observable Markov Decision Processes. - Yunuo Zhang; Baiting Luo; Ayan Mukhopadhyay; Abhishek Dubey (CoRR, 2025)