Mingfei Cheng

34 papers A* 3A 1B 1Journal 24Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Drivora: A Unified and Extensible Infrastructure for Search-based Autonomous Driving Testing.
CoRR
Mingfei Cheng, Lionel Briand, Yuan Zhou
2026 J jnl
Predicting Program Correctness By Ensemble Semantic Entropy.
CoRR
Yunxiang Wei, Tianlin Li, Yuwei Zheng, Yanni Dong, Aishan Liu, Qiang Hu, Xiaoyu Zhang, Mingfei Cheng, Jian Yang
2025 J jnl
ADReFT: Adaptive Decision Repair for Safe Autonomous Driving via Reinforcement Fine-Tuning.
CoRR
Mingfei Cheng, Xiaofei Xie, Renzhi Wang, Yuan Zhou, Ming Hu
2025 J jnl
Causality-aware Safety Testing for Autonomous Driving Systems.
CoRR
Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding
2025 A* conf
Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems.
ICSE
Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Junjie Wang, Guozhu Meng, Kairui Yang
2025 J jnl
Detecting Non-Optimal Decisions of Embodied Agents via Diversity-Guided Metamorphic Testing.
CoRR
Wenzhao Wu, Yahui Tang, Mingfei Cheng, Wenbing Tang, Yuan Zhou, Yang Liu
2025 J jnl
Foundation Models for Autonomous Driving System: An Initial Roadmap.
CoRR
Xiongfei Wu, Mingfei Cheng, Qiang Hu, Jianlang Chen, Yuheng Huang, Manabu Okada, Michio Hayashi, Tomoyuki Tsuchiya, Xiaofei Xie, Lei Ma
2025 — conf
Memorization in LLM-Based Program Repair.
APR@ICSE
Jiaolong Kong, Mingfei Cheng, Xiaofei Xie
2025 J jnl
MoDitector: Module-Directed Testing for Autonomous Driving Systems.
CoRR
Renzhi Wang, Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Lei Ma
2025 J jnl
MoDitector: Module-Directed Testing for Autonomous Driving Systems.
Proc. ACM Softw. Eng.
Renzhi Wang, Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Lei Ma
2025 J jnl
Moral Testing of Autonomous Driving Systems.
CoRR
Wenbing Tang, Mingfei Cheng, Yuan Zhou, Yang Liu
2025 J jnl
PentestEval: Benchmarking LLM-based Penetration Testing with Modular and Stage-Level Design.
CoRR
Ruozhao Yang, Mingfei Cheng, Gelei Deng, Tianwei Zhang, Junjie Wang, Xiaofei Xie
2025 J jnl
RegTrieve: Reducing System-Level Regression Errors for Machine Learning Systems via Retrieval-Enhanced Ensemble.
Proc. ACM Softw. Eng.
Junming Cao, Xuwen Xiang, Mingfei Cheng, Bihuan Chen, Xinyan Wang, You Lu, Chaofeng Sha, Xiaofei Xie, Xin Peng
2025 J jnl
STCLocker: Deadlock Avoidance Testing for Autonomous Driving Systems.
CoRR
Mingfei Cheng, Renzhi Wang, Xiaofei Xie, Yuan Zhou, Lei Ma
2024 — conf
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models.
ACL (1)
Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen
2024 J jnl
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models.
CoRR
Hongzhan Lin, Zixin Chen, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen
2024 J jnl
ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs.
CoRR
Jiaolong Kong, Mingfei Cheng, Xiaofei Xie, Shangqing Liu, Xiaoning Du, Qi Guo
2024 J jnl
DriveTester: A Unified Platform for Simulation-Based Autonomous Driving Testing.
CoRR
Mingfei Cheng, Yuan Zhou, Xiaofei Xie
2024 J jnl
Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing.
CoRR
Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang
2024 J jnl
Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning.
Proc. ACM Manag. Data
Anran Li, Yuanyuan Chen, Jian Zhang, Mingfei Cheng, Yihao Huang, Yueming Wu, Anh Tuan Luu, Han Yu
2024 J jnl
Towards low-resource rumor detection: Unified contrastive transfer with propagation structure.
Neurocomputing
Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
2023 J jnl
A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection.
CoRR
Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
2023 A conf
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems.
ISSTA
Mingfei Cheng, Yuan Zhou, Xiaofei Xie
2023 J jnl
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems.
CoRR
Mingfei Cheng, Yuan Zhou, Xiaofei Xie
2023 A* conf
Generative Model-Based Testing on Decision-Making Policies.
ASE
Zhuo Li, Xiongfei Wu, Derui Zhu, Mingfei Cheng, Siyuan Chen, Fuyuan Zhang, Xiaofei Xie, Lei Ma, Jianjun Zhao
2022 — conf
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation.
ACCV (7)
Kai Huang, Mingfei Cheng, Yang Wang, Bochen Wang, Ye Xi, Feigege Wang, Peng Chen
2022 J jnl
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation.
CoRR
Kai Huang, Mingfei Cheng, Yang Wang, Bochen Wang, Ye Xi, Feigege Wang, Peng Chen
2022 — conf
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning.
NAACL-HLT (Findings)
Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
2022 J jnl
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning.
CoRR
Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
2021 A* conf
Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation.
ICCV
Mingfei Cheng, Kaili Zhao, Xuhong Guo, Yajing Xu, Jun Guo
2021 — conf
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks.
EMNLP (1)
Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
2021 J jnl
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks.
CoRR
Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
2019 B conf
Cyclone Intensity Estimate with Context-Aware Cyclegan.
ICIP
Yajing Xu, Haitao Yang, Mingfei Cheng, Si Li
2019 J jnl
Cyclone intensity estimate with context-aware cyclegan.
CoRR
Yajing Xu, Haitao Yang, Mingfei Cheng, Si Li