Mingfei Cheng (程明飞)

I am a second-year PhD student supervised by Xiaofei Xie at Singapore Management Univerisity (SMU, 2022-Current). From 2019 to 2022, I was a master student supervised by Kaili Zhao and Yajing Xu at Beijing Univerisity of Posts and Telecommunications (BUPT). I obtained my bachelor degree from BUPT and Queen Mary University of London with first-class honor in 2019.

Currently, my research mainly focuses on Trustworthy Autonomous Driving, SE4AI and AI4SE.

SMU is ranked No. 10 (No. 3 in Asia) in the Software Engineering category, No. 40 (No. 16 in Asia) in the broad AI category and No. 83 (No. 14 in Asia) in the overall CS discipline in CSRanking (based on publications from 2012 to 2022).

Email  /  Google Scholar  /  Github

1. Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing
   Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang
   Preprint
   paper
2. ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs
   Jiaolong Kong, Mingfei Cheng, Xiaofei Xie, Shangqing Liu, Xiaoning Du, Qi Guo
   Preprint
   paper
3. Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning
   Anran Li, Yuanyuan Chen, Mingfei Cheng, Yihao Huang, Jian Zhang, Yueming Wu, Anh Tuan Luu, Han Yu
   SIGMOD, 2024 (CCF-A)
   
4. Towards low-resource rumor detection: Unified contrastive transfer with propagation structure
   Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
   Neurocomputing, 2024
   paper

1. 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
   ASE, 2023 (CCF-A)
   paper
2. BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems
   Mingfei Cheng, Yuan Zhou, Xiaofei Xie
   ISSTA, 2023 (CCF-A)
   paper / project page
3. Multilingual Misinformation Detection in Low-Resource Domains with Conversation-based Reasoning
   Hongzhan Lin, Mingfei Cheng
   WSDM Ideation Challenge, 2023 (CCF-B)
   3-rd Place Winner (link)

1. 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, 2022 (CCF-C)
   paper
2. 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
   NAACL-Findings, 2022 (CCF-B)
   paper / project page

1. Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation
   Mingfei Cheng, Kaili Zhao, Xuhong Guo, Yajing Xu, Jun Guo
   ICCV, 2021 (CCF-A)
   paper / project page
2. Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks
   Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
   EMNLP, 2021 (CCF-B)
   paper

1. Contextual Coefficients Excitation Feature: Focal Visual Representation for Relationship Detection
   Yajing Xu, Haitao Yang, Si Li, Xinyi Wang, Mingfei Cheng
   Applied Sciences, 2020
   paper

1. Cyclone Intensity Estimate with Context-Aware Cyclegan
   Yajing Xu, Haitao Yang, Mingfei Cheng, Si Li
   ICIP, 2019 (CCF-C)
   paper

1. PC member of ISSTA 2024 AE.
2. Junior PC member of MSR 2024.
3. PC member of USENIX Security '24 Summer AE.
4. Reviewer of Neurocomputing.
5. Reviewer of IEEE Transactions on Medical Imaging.
6. Reviewer of ACCV 2022.
7. Emergency Reviewer of ECCV 2022.

1. ACM SIGSOFT CAPS Travel Funds, 2023.
2. 3-rd Place Winner in WSDM Ideation Challenge, 2023.
3. Outstanding Graduates in Beijing, 2019.

1. Alibaba Cloud
   Computer Vision Algorithm Intern
   July 2021 - Nov. 2021, Hangzhou & Beijing, China.
   
2. Beijing Research Institute of China Telecom
   Algorithm Intern
   April 2021 - July 2021, Beijing, China.
   

Design and source code from Jon Barron's website.