Mingyue Feng — accepted AI-conference papers

2026

Decoupling Scene Perception and Ego Status: A Multi-Context Fusion Approach for Enhanced Generalization in End-to-End Autonomous Driving

Jiacheng Tang, Mingyue Feng, Jiachao Liu, Yaonong Wang, Jian Pu

AAAI 2026technical

Modular design of planning-oriented autonomous driving has markedly advanced end-to-end systems. However, existing architectures remain constrained by an over-reliance on ego status, hindering generalization and robust scene understanding. We identify the root cause as an inherent design within thes

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2025

Certificating Safety of Imitation Learning for Autonomous Driving With Learnable Weighted Control Barrier Functions

Jiayu Guo, Mingyue Feng, Jiachao Liu, Yaonong Wang, Jian Pu

RA-L 2025

Imitation learning is increasingly utilized to improve driving performance using real-world data, yet ensuring the safety of its outputs remains a fundamental challenge. While differentiable optimization-based methods are widely employed to enhance safety of imitation planner, their joint training o

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2024

Mitigating Causal Confusion in Vector-Based Behavior Cloning for Safer Autonomous Planning

Jiayu Guo, Mingyue Feng, Pengfei Zhu, Jinsheng Dou, Di Feng, Chengjun Li +2

ICRA 2024poster

The utilization of vector-based deep learning techniques has great prospects in the realm of autonomous driving, particularly in the domains of prediction and planning tasks. However, the application of vector-based backbones for prediction and planning tasks may lead to the occurrence of causal con…

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