Enhancement of low-cost GNSS localization in connected vehicle networks using Rao-Blackwellized particle filters. - Macheng Shen; Ding Zhao; Jing Sun 003 (ITSC, 2016)

Optimization of vehicle connections in V2V-based cooperative localization. - Macheng Shen; Jing Sun 003; Ding Zhao (ITSC, 2017)

The Impact of Road Configuration on V2V-Based Cooperative Localization. - Macheng Shen; Ding Zhao; Jing Sun 003 (VTC Spring, 2017)

Semi-Interpenetrating Cooperative Localization in Connected Vehicle Networks. - Macheng Shen; Huajing Zhao; Jing Sun 003; Ding Zhao (CoRR, 2017)

Transferable Pedestrian Motion Prediction Models at Intersections. - Macheng Shen; Golnaz Habibi; Jonathan P. How (IROS, 2018)

Interpenetrating Cooperative Localization in Dynamic Connected Vehicle Networks. - Huajing Zhao; Zhaobin Mo; Macheng Shen; Jing Sun 003; Ding Zhao (CoRR, 2018)

A Probe Towards Understanding GAN and VAE Models. - Lu Mi; Macheng Shen; Jingzhao Zhang (CoRR, 2018)

The Impact of Road Configuration in V2V-Based Cooperative Localization: Mathematical Analysis and Real-World Evaluation. - Macheng Shen; Jing Sun 003; Ding Zhao (IEEE Trans. Intell. Transp. Syst., 2018)

A Cognitive Urban Collision Avoidance Framework Based on Agents Priority Using Recurrent Neural Network. - Shenghao Jiang; Macheng Shen (ICAR, 2019)

An Interactive Lane Change Decision Making Model With Deep Reinforcement Learning. - Shenghao Jiang; Jiying Chen; Macheng Shen (ICCMA, 2019)

Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning. - Macheng Shen; Jonathan P. How (ICRA, 2019)

Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games. - Macheng Shen; Jonathan P. How (CoRR, 2019)

Improving Localization Accuracy in Connected Vehicle Networks Using Rao-Blackwellized Particle Filters: Theory, Simulations, and Experiments. - Macheng Shen; Jing Sun 003; Huei Peng; Ding Zhao (IEEE Trans. Intell. Transp. Syst., 2019)

Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph. - Chuangchuang Sun; Macheng Shen; Jonathan P. How (IROS, 2020)

Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning. - Macheng Shen; Jonathan P. How (ICAPS, 2021)

Safe adaptation in multiagent competition. - Macheng Shen; Jonathan P. How (IROS, 2022)

Implicit Ensemble Training for Efficient and Robust Multiagent Reinforcement Learning. - Macheng Shen; Jonathan P. How (Trans. Mach. Learn. Res., 2023)

Neural SDEs as a Unified Approach to Continuous-Domain Sequence Modeling. - Macheng Shen; Chen Cheng (CoRR, 2025)

Denoising-based Contractive Imitation Learning. - Macheng Shen; Jishen Peng; Zefang Huang (CoRR, 2025)