Qi Chen PH.D.

LECTURER

Dr. Qi Chen is a lecturer at the school of AI and Advanced Computing (AIAC) at XJTLU Entrepreneur College (Taicang). He received his PhD in Computer Science from the University of Liverpool in 2021, and MSc in Computer Science from Stevens Institute of Technology in 2017.

His research interests include deep learning, natural language processing, social media data mining, and smart city applications.


  • PhD in Computer Science, University of Liverpool, 2021
  • MSc in Computer Science, Stevens Institute of Technology, 2017
  • BSc (1st class Hons) in Information and Computing Science, Xi'an Jiaotong-Liverpool University, 2015


  • Lecturer, Xi'an Jiaotong-Liverpool University, 2022 - present


  • deep learning
  • natural language processing
  • social media data mining
  • smart city applications


  • Y. Wang, W. Wang, Q. Chen, K. Huang, A. Nguyen, S. De, and A. Hussain, "Fusing external knowledge resources for natural language understanding techniques: A survey." Information Fusion, 92, 190-204, 2023.
  • Q. Chen, W. Wang, K. Huang, and F. Coenen, "Zero-shot Text Classification via Knowledge Graph Embedding for Social Media Data." IEEE Internet of Things Journal, 2021.
  • Q. Chen, W. Wang, K. Huang, S. De, and F. Coenen, "Multi-modal Generative Adversarial Networks for Traffic Event Detection in Smart Cities." Expert Systems with Applications, 2021.
  • Q. Chen, W. Wang, X. Huang, and H. Liang, "Attention-based Recurrent Neural Network for Traffic Flow Prediction." Journal of Internet Technology, 21(3), 831-839, 2020.
  • Q. Chen, W. Wang, F. Wu, S. De, R. Wang, B. Zhang, and X. Huang, "A survey on an emerging area: Deep learning for smart city data." IEEE Transactions on Emerging Topics in Computational Intelligence, 3(5), 392-410, 2019.


  • J. Li, Q. Chen, W. Wang, and F. Wu, "Knowledge-embedded Prompt Learning for Zero-shot Social Media Text Classification." In 2023 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 222-224, 2023.
  • Y. Wang, W. Wang, Q. Chen, K. Huang, A. Nguyen, and S. De, "Prompt-based Zero-shot Text Classification with Conceptual Knowledge." In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pp. 30-38, 2023.
  • Y. Wang, W. Wang, Q. Chen, K. Huang, A. Nguyen, and S. De. "Generalised Zero-shot Learning for Entailment-based Text Classification with External Knowledge." In 2022 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 19-25, 2022.
  • S. Jia, Q. Chen, and W. Wang. "Covid-19 Tweets Analysis with Topic Modeling." In 2021 4th International Conference on Computing and Big Data, pp. 68-74. 2021.
  • Y. Wang, Q. Chen, and W. Wang, "Multi-task BERT for Aspect-based Sentiment Analysis." IEEE International Conference on Smart Computing (SMARTCOMP), pp. 383-385, 2021.
  • Q. Chen, W. Wang, K. Huang, S. De, and F. Coenen, "Adversarial Domain Adaptation for Crisis Data Classification on Social Media." 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), pp. 282-287, 2020.
  • Q. Chen, W. Wang, K. Huang, S. De, and F. Coenen, "Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media." IEEE International Conference on Smart Computing (SMARTCOMP), pp. 232-237, 2020.
  • Q. Chen and W. Wang, "Multi-modal Neural Network for Traffic Event Detection." IEEE 2nd International Conference on Electronics and Communication Engineering (ICECE), pp. 26-30, 2019.
  • Q. Chen, W. Wang, and X. Huang, "Long Short-Term Memory Encoder-Decoder for Traffic Flow Prediction." The International Conference on Recent Advancements in Computing, IoT and Computer Engineering Technology, pp. 48-51, 2018.
  • C. Guan, K. K. F. Yuen, and Q. Chen, "Towards a Hybrid Approach of K-Means and Density-Based Spatial Clustering of Applications with Noise for Image Segmentation." IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), pp. 396-399, 2017.
  • Q. Chen, K. K. F. Yuen, and C. Guan, "Towards a hybrid approach of self-organizing map and density-based spatial clustering of applications with noise for image segmentation." IEEE 10th International Conference on Developments in eSystems Engineering (DeSE), pp. 238-241, 2017.


  • DTS301TC Data Mining
  • DTS203TC Design and Analysis of Algorithms
Qi Chen