CV

Jiawen Zhang / 张佳雯

Educational Background

2022 - 2026
The Hong Kong University of Science and Technology
Ph.D. Candidate in Data Science and Analytics
GPA: 3.98/4.3
Supervisor: Prof. Jia Li & Prof. Xiaofang Zhou
Research Interests: Time series forecasting, Irregular-sampled time series modeling, AI4Healthcare

2018 - 2021
University of Chinese Academy of Sciences (UCAS)
M.Eng. in Computer Technology
GPA: 3.72/4.0
Supervisor: Prof. Jiaqi Zhu
Research Interests: Few-shot learning, Knowledge graph

2014 - 2018
Beijing University of Posts and Telecommunications (BUPT)
Queen Mary University of London (QMUL)
B.Sc. Hons in Telecommunication Engineering
GPA: 3.71/4.0, First class degree (Top 5%)
Supervisor: Dr. Marie-luce Bourguet (QMUL) & Prof. Gentiane Venture (The University of Tokyo)
Research Interests: Human-computer interaction

Reaserch Experiences

12/2021 - 04/2023
Machine Learning Group, Microsoft Research Asia, Beijing
Research Intern

11/2019 - 11/2021
Multi-Media Understanding Group, Kwai Technology, Beijing
NLP Algorithm Engineer Intern

03/2018 - 05/2018
GVLab Robotics Laboratory, Tokyo University of Agriculture and Technology, Tokyo
Visiting Student

Publications

See Google Scholar for full publication list.

2025

  • Xiaobin Hong, Jiawen Zhang, Wenzhong Li, Sanglu Lu, Jia Li. (2025). Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting. ArXiv. [paper]

  • Z. Zhang, J. Zhang, S. Zheng, Y. Gu, J. Bian. (2025). Does Cross-Domain Pre-Training Truly Help Time-Series Foundation Models? In Proc. of ICLR, Workshop on Foundation Models in the Wild. [paper]

2024

  • J. Zhang, S. Zheng, X. Wen, X. Zhou, J. Bian and J. Li. (2024). ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer. In Proc. of NeurIPS 2024. [paper][code]

  • J. Zhang, X. Wen, Z. Zhang, S. Zheng, J. Li and J. Bian. (2024). ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons. In Proc. of NeurIPS 2024. [paper][code]

2023

  • 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. [paper][code]

  • 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. [paper]

  • X. Sun, J. Zhang, X. Wu, H. Cheng, Y. Xiong and J. Li. (2023). Graph prompt learning: A comprehensive survey and beyond. ArXiv. [paper]

  • 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. [paper]

2021

  • 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. [paper][code]

  • 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). [paper]

2020

  • J. Zhang, Y. Zhao, J. Zhu and J. Xiao. (2020). Distant Supervision for Polyphone Disambiguation in Mandarin Chinese. In Proc. of INTERSPEECH 2020. [paper]

2018

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

Teaching Experience

09/2024 - 12/2024 DSAA 5002 Data Mining and Knowledge Discovery in Data Science
Teaching Assistant

02/2025 - 05/2025 UFUG 2602 Data Structure and Algorithm Design
Teaching Assistant

Service

Reviewer for NeurIPS, SIGKDD, VLDB, WWW, and ICDE.

Key Technical Skills

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

Scholarship & Awards

  • 2024 Excellent Research Award (HKUST-GZ)
  • 2023 Research Travel Grant (HKUST-GZ)
  • 2020-2021 First-Class Scholarship (UCAS)
  • 2018-2020 Academic Scholarship (UCAS)
  • 2018 Excellent Graduation Thesis (BUPT)
  • 2018 Undergraduate College Prize 2018 (QMUL)
  • 2018 Outstanding Overseas Project Scholarship (QMUL)