Cyclone Intensity Estimate with Context-Aware Cyclegan. - Yajing Xu; Haitao Yang 008; Mingfei Cheng; Si Li 001 (ICIP, 2019)

Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. - Hongzhan Lin 001; Jing Ma 004; Mingfei Cheng; Zhiwei Yang 005; Liangliang Chen; Guang Chen 003 (EMNLP (1), 2021)

Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation. - Mingfei Cheng; Kaili Zhao; Xuhong Guo; Yajing Xu; Jun Guo 002 (ICCV, 2021)

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 (ACCV (7), 2022)

Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning. - Hongzhan Lin 001; Jing Ma 004; Liangliang Chen; Zhiwei Yang 005; Mingfei Cheng; Guang Chen 003 (NAACL-HLT (Findings), 2022)

BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems. - Mingfei Cheng; Yuan Zhou 005; Xiaofei Xie (ISSTA, 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 003; Jianjun Zhao 001 (ASE, 2023)

A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection. - Hongzhan Lin 001; Jing Ma 004; Ruichao Yang; Zhiwei Yang 005; Mingfei Cheng (CoRR, 2023)

CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models. - Zixin Chen; Hongzhan Lin 001; Ziyang Luo; Mingfei Cheng; Jing Ma 004; Guang Chen 003 (ACL (1), 2024)

Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing. - Mingfei Cheng; Yuan Zhou 005; Xiaofei Xie; Junjie Wang 007; Guozhu Meng; Kairui Yang (CoRR, 2024)

ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs. - Jiaolong Kong; Mingfei Cheng; Xiaofei Xie; Shangqing Liu; Xiaoning Du 001; Qi Guo (CoRR, 2024)

DriveTester: A Unified Platform for Simulation-Based Autonomous Driving Testing. - Mingfei Cheng; Yuan Zhou 005; Xiaofei Xie (CoRR, 2024)

Towards low-resource rumor detection: Unified contrastive transfer with propagation structure. - Hongzhan Lin 001; Jing Ma 004; Ruichao Yang; Zhiwei Yang 005; Mingfei Cheng (Neurocomputing, 2024)

Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning. - Anran Li 001; Yuanyuan Chen; Jian Zhang 087; Mingfei Cheng; Yihao Huang 001; Yueming Wu 001; Anh Tuan Luu; Han Yu 001 (Proc. ACM Manag. Data, 2024)

Memorization in LLM-Based Program Repair. - Jiaolong Kong; Mingfei Cheng; Xiaofei Xie (APR@ICSE, 2025)

Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems. - Mingfei Cheng; Xiaofei Xie; Yuan Zhou 005; Junjie Wang 007; Guozhu Meng; Kairui Yang (ICSE, 2025)

RegTrieve: Reducing System-Level Regression Errors for Machine Learning Systems via Retrieval-Enhanced Ensemble. - Junming Cao; Xuwen Xiang; Mingfei Cheng; Bihuan Chen 001; Xinyan Wang; You Lu 005; Chaofeng Sha; Xiaofei Xie; Xin Peng 001 (Proc. ACM Softw. Eng., 2025)

MoDitector: Module-Directed Testing for Autonomous Driving Systems. - Renzhi Wang; Mingfei Cheng; Xiaofei Xie; Yuan Zhou 005; Lei Ma 003 (Proc. ACM Softw. Eng., 2025)

Foundation Models for Autonomous Driving System: An Initial Roadmap. - Xiongfei Wu; Mingfei Cheng; Qiang Hu; Jianlang Chen; Yuheng Huang 004; Manabu Okada; Michio Hayashi; Tomoyuki Tsuchiya; Xiaofei Xie; Lei Ma 003 (CoRR, 2025)

Moral Testing of Autonomous Driving Systems. - Wenbing Tang; Mingfei Cheng; Yuan Zhou; Yang Liu (CoRR, 2025)

Causality-aware Safety Testing for Autonomous Driving Systems. - Wenbing Tang 001; Mingfei Cheng; Renzhi Wang; Yuan Zhou 005; Chengwei Liu; Yang Liu 003; Zuohua Ding (CoRR, 2025)

ADReFT: Adaptive Decision Repair for Safe Autonomous Driving via Reinforcement Fine-Tuning. - Mingfei Cheng; Xiaofei Xie; Renzhi Wang; Yuan Zhou 005; Ming Hu 003 (CoRR, 2025)

STCLocker: Deadlock Avoidance Testing for Autonomous Driving Systems. - Mingfei Cheng; Renzhi Wang; Xiaofei Xie; Yuan Zhou 005; Lei Ma 003 (CoRR, 2025)