Jiawen Zhang / 张佳雯

I am a Ph.D. student in Data Science and Analytics at The Hong Kong University of Science and Technology under the supervision of Prof. Jia Li. Currently, my research interests include data mining, time series modeling, few-shot learning, and human-computer interaction.

Prior to my doctoral studies, I received my M.Eng. degree in Computer Technology from the Chinese Academy of Sciences (CAS), with Professor Jiaqi Zhu as my advisor. I also hold a B.S. Hons. degree in Telecommunication Engineering from both Telecommunication Engineering from the Beijing University of Posts and Telecommunications (BUPT) and Queen Mary University of London (QMUL), under the guidance of Prof. Marie-luce Bourguet & Prof. Gentiane Venture.

For research experience, I have been a research intern at the Machine Learning Group in Microsoft Research Asia, collaborating with Dr. Shun Zheng and Dr. Jiang Bian. Before that, I contributed as an NLP Algorithm Engineer Intern at the Multi-Media Understanding Group within Kwai Technology.

If you have any inquiries or are interested in potential collaborations, please do not hesitate to reach out to me.

Publications

[1] J. Zhang, S. Zheng, W. Cao, J. Bian and J. Li. (2023). Warpformer: A Multi-scale Approach for Irregularly Sampled Multivariate Time Series. In Proc. of KDD 2023.

[2] Z. Gao, C. Jiang, J. Zhang, X. Jiang, L. Li, P. Zhao, H. Yang, Y. Huang and J. Li. (2023). Hierarchical Graph Learning for Protein-Protein Interaction. Nature Communications 2023 (vol.14, pp. 1093).

[3] J. Zhang, J. Zhu, Y. Yang, W. Shi, C. Zhang and H. Wang. (2021). Knowledge-Enhanced Domain Adaptation in Few-Shot Relation Classification. In Proc. of KDD 2021 (pp. 2183-2191).

[4] J. Zhang, Y. Zhao, J. Zhu and J. Xiao. (2020). Distant Supervision for Polyphone Disambiguation in Mandarin Chinese. In Proc. of INTERSPEECH 2020 (pp. 1753-1757).

[5] J. Zhang, M.L. Bourguet and G. Venture. (2018). The Effects of Video Instructors Body Languageon Students Distributionof Visual Attention: an Eye-tracking Study. Proceedings of British HCI 2018.

[6] Y Li, J. Zhu, C. Zhang, Y. Yang, J. Zhang and Y. Qiao. (2023). THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks. In Proc. of CIKM 2023.

[7] Y. Yang, H. Wang, J. Zhu, W. Shi, W. Guo and J. Zhang. (2021). Effective Seed-Guided Topic Labeling for Dataless Hierarchical Short Text Classification. In Proc. of ICWE 2021 (pp. 271-285).

Key technical skills

Python > C > JAVA = MATLAB
Proficiency in spoken and written English (all the courses were deliveried in English in the undergraduate years)
Familiar with Linux system
Adobe Photoshop / Illustratory
Native Chinese speaker
Graphic design & Drawing
Table tennis

Honors & Awards

2020-2021

First-class scholarship of UCAS

2018-2019

Academic scholarship of UCAS

2018

Undergraduate College Prize 2018 of QMUL
Excellent graduation thesis of BUPT
Outstanding overseas project scholarship of QMUL

2017

2017 Design & Build Competition of QMUL 3rd place
2017 Beijing College Innovation Competition 3rd prize
Second-class scholarship