ChengtaiCao's Homepage

Chengtai Cao

About Me

Hi! I am a Ph.D. student at the Department of Computer Science, City University of Hong Kong (CityU), supervised by Prof. Jianping Wang.

Research Interest

Deep Learning, Autonomous Driving, Graph Neural Networks, and Uncertainty.

Publications

* Corresponding Author

Conference

  1. Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, and Yung-Hui Li. 2024. SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving. International Joint Conference on Artificial Intelligence (IJCAI).
  2. Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, and Yung-Hui Li. 2024. CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI).
  3. Fan Zhou and Chengtai Cao*. 2021. Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI).
  4. Fan Zhou, Shupei Chen, Jin Wu, Chengtai Cao, and Shengming Zhang. 2021. Trajectory-User Linking via Graph Neural Network. IEEE International Conference on Communications (ICC).
  5. Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Ji Geng. 2020. Fast Network Alignment via Graph Meta-learning. IEEE Conference on Computer Communications (INFOCOM).
  6. Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, and Ji Geng. 2019. Meta-GNN: on Few-shot Node Classification in Graph Meta-learning. ACM International Conference on Information and Knowledge Management (CIKM).

Journal

  1. Fan, Zhou, Chengtai Cao, Ting Zhong, and Ji Geng. 2021. Learning Meta-knowledge for Few-shot Image Emotion Recognition. Expert Systems with Applications (ESWA).

Pre-print

  1. Chengtai Cao, Fan Zhou, Yurou Dai, Jianping Wang. 2022. A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability. arXiv:2212.10888.

Thesis

Master

  1. Chengtai Cao. Application of Graph Neural Network Base on Meta-learning. 2021. School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC).

Patent

  1. Fan Zhou, Chengtai Cao, Ting Zhong, and Xovee Xu. 2022. Training Data Generation Method and Causal Effect Heterogeneous Response Difference Estimation Method Based on Meta-learner. China Invention Patent, No. CN113095440B.
  2. Fan Zhou, Chengtai Cao, Ting Zhong, and Tianliang Wang. 2022. Few-shot Image Sentiment Classification Method Based on Meta-learning. China Invention Patent, No. CN112613556B.

Education

  1. University of Electronic Science and Technology of China (UESTC). 2014–2018. Bachelor.
  2. University of Electronic Science and Technology of China (UESTC). 2018–2021. Master.
  3. City University of Hong Kong (CityU). 2022–Present. Ph.D.

Work Experience

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

Teaching Experience

  1. Teaching Assistant. 2022 Fall. CS3201 Computer Networks (CityU).
  2. Teaching Assistant. 2023 Spring. CS5296 Cloud Computing: Theo & Prac (CityU).
  3. Teaching Assistant. 2023 Fall. CS5489 Machine Learning: Algorithms & Applications (CityU).
  4. Teaching Assistant. 2024 Spring. CS5491 Artificial Intelligence (CityU).

Academic Service

Reviewer (include sub- & external-review)

  1. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
  2. ACM SIGKDD conference on Knowledge Discovery and Data Mining (ACM SIGKDD).
  3. IEEE Transactions on Cybernetics (IEEE ToC)
  4. International World Wide Web Conference (WWW)
  5. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)
  6. Transactions on Machine Learning Research (TMLR)
  7. IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Professional Membership

  1. IEEE: Student Member.

Distinction

Year Award Issuer
2021 Excellent Master Thesis UESTC
2020 National Scholarship Ministry of Education of China
2020 First Prize Scholarship for Master Students UESTC
2020 Excellent Graduate Student (Master Program) UESTC
2019 National Scholarship Ministry of Education of China
2019 First Prize Scholarship for Master Students UESTC
2019 Excellent Graduate Student (Master Program) UESTC
2014 Merit Student Education Department of Sichuan

Conference Presentation

  1. ACM International Conference on Information and Knowledge Management (CIKM). 2019.
  2. IEEE International Conference on Computer Communications (INFOCOM). 2020.
  3. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2021.
  4. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2024.