Mingfei Cheng

According to our database, Mingfei Cheng authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

STCLocker: Deadlock Avoidance Testing for Autonomous Driving Systems.

Mingfei Cheng, Renzhi Wang, Xiaofei Xie, Yuan Zhou, Lei Ma

CoRR, June, 2025

ADReFT: Adaptive Decision Repair for Safe Autonomous Driving via Reinforcement Fine-Tuning.

Mingfei Cheng, Xiaofei Xie, Renzhi Wang, Yuan Zhou, Ming Hu

CoRR, June, 2025

Causality-aware Safety Testing for Autonomous Driving Systems.

Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding

CoRR, June, 2025

Moral Testing of Autonomous Driving Systems.

Wenbing Tang, Mingfei Cheng, Yuan Zhou, Yang Liu

CoRR, May, 2025

Foundation Models for Autonomous Driving System: An Initial Roadmap.

Xiongfei Wu, Mingfei Cheng, Qiang Hu, Jianlang Chen, Yuheng Huang, Manabu Okada, Michio Hayashi, Tomoyuki Tsuchiya, Xiaofei Xie, Lei Ma

CoRR, April, 2025

MoDitector: Module-Directed Testing for Autonomous Driving Systems.

Renzhi Wang, Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Lei Ma

Proc. ACM Softw. Eng., 2025

RegTrieve: Reducing System-Level Regression Errors for Machine Learning Systems via Retrieval-Enhanced Ensemble.

Junming Cao, Xuwen Xiang, Mingfei Cheng, Bihuan Chen, Xinyan Wang, You Lu, Chaofeng Sha, Xiaofei Xie, Xin Peng

Proc. ACM Softw. Eng., 2025

Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems.

Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Junjie Wang, Guozhu Meng, Kairui Yang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Memorization in LLM-Based Program Repair.

Jiaolong Kong, Mingfei Cheng, Xiaofei Xie

Proceedings of the IEEE/ACM International Workshop on Automated Program Repair, 2025

2024

Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning.

Anran Li, Yuanyuan Chen, Jian Zhang, Mingfei Cheng, Yihao Huang, Yueming Wu, Anh Tuan Luu, Han Yu

Proc. ACM Manag. Data, 2024

Towards low-resource rumor detection: Unified contrastive transfer with propagation structure.

Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng

Neurocomputing, 2024

DriveTester: A Unified Platform for Simulation-Based Autonomous Driving Testing.

Mingfei Cheng, Yuan Zhou, Xiaofei Xie

CoRR, 2024

ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs.

Jiaolong Kong, Mingfei Cheng, Xiaofei Xie, Shangqing Liu, Xiaoning Du, Qi Guo

CoRR, 2024

Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing.

Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang

CoRR, 2024

CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models.

Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection.

Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng

CoRR, 2023

Generative Model-Based Testing on Decision-Making Policies.

Zhuo Li, Xiongfei Wu, Derui Zhu, Mingfei Cheng, Siyuan Chen, Fuyuan Zhang, Xiaofei Xie, Lei Ma, Jianjun Zhao

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems.

Mingfei Cheng, Yuan Zhou, Xiaofei Xie

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022

Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning.

Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation.

Kai Huang, Mingfei Cheng, Yang Wang, Bochen Wang, Ye Xi, Feigege Wang, Peng Chen

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation.

Mingfei Cheng, Kaili Zhao, Xuhong Guo, Yajing Xu, Jun Guo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks.

Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019

Cyclone Intensity Estimate with Context-Aware Cyclegan.

Yajing Xu, Haitao Yang, Mingfei Cheng, Si Li

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019