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2020 – today
- 2024
[j2]Hongzhan Lin
, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng:
Towards low-resource rumor detection: Unified contrastive transfer with propagation structure. Neurocomputing 578: 127438 (2024)- [j1]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): 144 (2024) - [c8]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: 9663-9687 - [i9]Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang:
Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing. CoRR abs/2402.18393 (2024) - [i8]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 abs/2403.01971 (2024) - [i7]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 abs/2405.00390 (2024) - 2023
- [c7]Mingfei Cheng, Yuan Zhou, Xiaofei Xie:
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems. ISSTA 2023: 488-500 - [c6]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: 243-254 - [i6]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 abs/2304.01492 (2023) - [i5]Mingfei Cheng, Yuan Zhou, Xiaofei Xie:
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems. CoRR abs/2307.07493 (2023) - 2022
- [c5]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: 431-447 - [c4]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: 2543-2556 - [i4]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 abs/2204.08143 (2022) - [i3]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 abs/2211.01310 (2022) - 2021
- [c3]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: 10035-10047 - [c2]Mingfei Cheng, Kaili Zhao, Xuhong Guo, Yajing Xu, Jun Guo:
Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation. ICCV 2021: 7127-7136 - [i2]Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen:
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. CoRR abs/2110.04522 (2021)
2010 – 2019
- 2019
- [c1]Yajing Xu, Haitao Yang, Mingfei Cheng, Si Li:
Cyclone Intensity Estimate with Context-Aware Cyclegan. ICIP 2019: 3417-3421 - [i1]Yajing Xu, Haitao Yang, Mingfei Cheng, Si Li:
Cyclone intensity estimate with context-aware cyclegan. CoRR abs/1905.04425 (2019)
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