Mingfei Cheng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Betweenness Centrality

Object Detection

Autonomous Driving

Top Venues

NAACL-HLT (Findings)

Publications

Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models. ACL (1) (2024)
Hongzhan Lin, Zixin Chen, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models. CoRR (2024)
Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang
Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing. CoRR (2024)
Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
Towards low-resource rumor detection: Unified contrastive transfer with propagation structure. Neurocomputing 578 (2024)
Jiaolong Kong, Mingfei Cheng, Xiaofei Xie, Shangqing Liu, Xiaoning Du, Qi Guo
ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs. CoRR (2024)
Anran Li, Yuanyuan Chen, Jian Zhang, Mingfei Cheng, Yihao Huang, Yueming Wu, Anh Tuan Luu, Han Yu
Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning. Proc. ACM Manag. Data 2 (3) (2024)
Mingfei Cheng, Yuan Zhou, Xiaofei Xie
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems. ISSTA (2023)
Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection. CoRR (2023)
Zhuo Li, Xiongfei Wu, Derui Zhu, Mingfei Cheng, Siyuan Chen, Fuyuan Zhang, Xiaofei Xie, Lei Ma, Jianjun Zhao
Generative Model-Based Testing on Decision-Making Policies. ASE (2023)
Mingfei Cheng, Yuan Zhou, Xiaofei Xie
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems. CoRR (2023)
Kai Huang, Mingfei Cheng, Yang Wang, Bochen Wang, Ye Xi, Feigege Wang, Peng Chen
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation. CoRR (2022)
Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning. NAACL-HLT (Findings) (2022)
Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning. CoRR (2022)
Kai Huang, Mingfei Cheng, Yang Wang, Bochen Wang, Ye Xi, Feigege Wang, Peng Chen
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation. ACCV (7) (2022)
Mingfei Cheng, Kaili Zhao, Xuhong Guo, Yajing Xu, Jun Guo
Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation. ICCV (2021)
Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. CoRR (2021)
Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. EMNLP (1) (2021)
Yajing Xu, Haitao Yang, Mingfei Cheng, Si Li
Cyclone Intensity Estimate with Context-Aware Cyclegan. ICIP (2019)
Yajing Xu, Haitao Yang, Mingfei Cheng, Si Li
Cyclone intensity estimate with context-aware cyclegan. CoRR (2019)