I am currently a Ph.D. candidate in the Department of Computer Science at the City University of Hong Kong (CityU) under the supervision of Prof. Jianping Wang (汪建平). My academic journey began at the University of Electronic Science and Technology of China (UESTC), where I earned my B.S. and M.S. degrees in Software Engineering in 2018 and 2021, respectively. During my master’s studies, I was fortunate to work under the guidance of Prof. Fan Zhou (周帆), Prof. Ting Zhong (钟婷), and Prof. Ji Geng (耿技).

Between my master’s and doctoral studies, I gained valuable industry experience as a strategy algorithm engineer in the Department of Smart Office Platform (智能办公平台部) at Baidu (百度), one of China’s leading tech companies. This year-long stint provided me with practical insights into the application of AI in real-world scenarios.

My research interests span a wide range of cutting-edge areas in artificial intelligence, including: Machine Learning, Deep Learning, Autonomous Driving, Meta-Learning, Few-Shot Learning, Continual Learning, Graph Neural Network, Uncertainty, and Calibration. I have published 7 papers at the top international AI conferences and journals with total .

🔥 News

• 2025.01:  🎉 A paper is accepted by International World Wide Web Conference (WWW) 2025. Congratulations to Xinglin.
• 2024.09:  🎉 A paper is accepted by ACM Computing Surveys (CSUR) 2024.
• 2024.04:  🎉 A paper is accepted by International Joint Conferences on Artificial Intelligence (IJCAI) 2024.
• 2023.12:  🎉 A paper is accepted by Association for the Advancement of Artificial Intelligence (AAAI) 2024.

📝 Publications

• CSUR 2024 A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
  Chengtai Cao, Fan Zhou, Yurou Dai, Jianping Wang, and Kunpeng Zhang

• IJCAI 2024 SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving
  Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, and Yung-Hui Li

• AAAI 2024 CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving
  Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, and Yung-Hui Li

• AAAI 2021 Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
  Fan Zhou and Chengtai Cao* (Corresponding Author)

• ESWA 2021 Learning Meta-Knowledge for Few-shot Image Emotion Recognition
  Fan, Zhou, Chengtai Cao, Ting Zhong, and Ji Geng

• ICC 2021 Trajectory-User Linking via Graph Neural Network
  Fan Zhou, Shupei Chen, Jin Wu, Chengtai Cao, and Shengming Zhang

• Master Thesis Application of Graph Neural Network Base on Meta-learning (基于元学习的图神经网络应用研究)
  Chengtai Cao

• INFOCOM 2020 Fast Network Alignment via Graph Meta-learning
  Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Ji Geng

• CIKM 2019 Meta-GNN: on Few-shot Node Classification in Graph Meta-Learning
  Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, and Ji Geng

Patents

• China Invention Patent, No. CN113095440B: Training Data Generation Method and Causal Effect Heterogeneous Response Difference Estimation Method Based on Meta-Learner (基于元学习者的训练数据生成方法及因果效应异质反应差异估计方法). Fan Zhou, Chengtai Cao, Ting Zhong, and Xovee Xu
• China Invention Patent, No. CN112613556B: Few-Shot Image Sentiment Classification Method Based on Meta-Learning (基于元学习的少样本图像情感分类方法). Fan Zhou, Chengtai Cao, Ting Zhong, and Tianliang Wang

🎖 Honors and Awards

• 2021 Excellent Master Thesis, University of Electronic Science and Technology of China (UESTC)
• 2020 National Scholarship, Ministry of Education of China
• 2020 First Prize Scholarship for Master Students, University of Electronic Science and Technology of China (UESTC)
• 2020 Excellent Graduate Student (Master Program), University of Electronic Science and Technology of China (UESTC)
• 2019 National Scholarship, Ministry of Education of China
• 2019 First Prize Scholarship for Master Students, University of Electronic Science and Technology of China (UESTC)
• 2019 Excellent Graduate Student (Master Program), University of Electronic Science and Technology of China (UESTC)
• 2014 Merit Student, Education Department of Sichuan

📖 Educations

• 2022 - Present Ph.D. Candidate, City University of Hong Kong (CityU)
• 2018 - 2021 M.S., University of Electronic Science and Technology of China (UESTC)
• 2014 - 2018 B.S., University of Electronic Science and Technology of China (UESTC)

💻 Works

• 2021 - 2022 Strategy Algorithm Engineer, Baidu International Technology Co., Ltd. (Shenzhen)
• 2017 - 2018 Front-End Developer and Quality Assurance, SAP China Co., Ltd. (Chengdu)

🧑‍🏫 Teaching

• 2024/25 Semester B Teaching Assistant, CS5491 Artificial Intelligence (CityU)
• 2024/25 Semester A Teaching Assistant, CS5222 Computer Networks & Internets (CityU)
• 2023/24 Semester B Teaching Assistant, CS5491 Artificial Intelligence (CityU)
• 2023/24 Semester A Teaching Assistant, CS5489 Machine Learning: Algorithms & Applications (CityU)
• 2022/23 Semester B Teaching Assistant, CS5296 Cloud Computing: Theo & Prac (CityU)
• 2022/23 Semester A Teaching Assistant, CS3201 Computer Networks (CityU)

🎓 Activities

Reviewer

• IEEE IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
• IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
• ACM SIGKDD conference on Knowledge Discovery and Data Mining (ACM SIGKDD).
• IEEE Transactions on Cybernetics (IEEE Trans. Cyber)
• International World Wide Web Conference (WWW)
• Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)
• Transactions on Machine Learning Research (TMLR)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• Artificial Intelligence and Autonomous Systems (AIAS)

Membership

• IEEE: Student Member.
• ACM: Member.

Presentation

• 2019.11 ACM International Conference on Information and Knowledge Management (CIKM). Beijing, China.
• 2020.07 IEEE International Conference on Computer Communications (INFOCOM). Virtual.
• 2021.02 Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). Virtual.
• 2024.02 Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). Vancouver, Canada. Video
• 2024.08 International Joint Conference on Artificial Intelligence (IJCAI). Jeju, South Korea.