Hi! I am Siteng Huang (黄思腾 in Chinese). I am a joint Ph.D. student of Westlake University and Zhejiang University, advised by Dr. Donglin Wang. Also, I am a member of Machine Intelligence Laboratory (MiLAB) in Westlake University, where I do my research work on machine learning and robot learning.
Before coming to Westlake University, I obtained my bachelor’s degree of Engineering from School of Computer Science, Wuhan University, majoring in Software Engineering.
I am interested in technologies that allow machines and robots to learn like humans. In particular, I am committed to giving robots the ability to understand the world and learn from previous experiences, so that they can complete new tasks, acquire new skills or adapt to new environments rapidly with fewer samples through learning algorithms. Currently, my areas of interest include meta-learning, multi-task learning, and transfer learning on few-shot learning tasks. I am also interested in deep learning, computer vision, natural language processing, and multimodal machine learning.
- [April 21, 2021] One participating paper got accepted for ICMR 2021.
- [March 4, 2021] One participating paper got accepted for CVPR 2021.
- [December 2, 2020] One paper got accepted for AAAI 2021. Congratulations to all collaborators!
Service: Always open to paper review, talk and organizing opportunities. Feel free to reach out to me if you are interested. My email address is
huangsiteng [at] westlake.edu.cn.
Hiring: We are looking for research assistants and visiting students for MiLAB (currently only for Chinese). More information about requirements for research assistants here, and if you are still in school, being a visiting student is also welcome. Please send email to
mi_lab [at] westlake.edu.cn with your CV if you are interested. Specially, if you are interested in my research direction and would like to be my collaborator after coming, please let us know it from the email.
Zifeng Zhuang, Xintao Xiang, Siteng Huang, Donglin Wang, "HINFShot: A Challenge Dataset for Few-Shot Node Classification in Heterogeneous Information Network". In Proceedings of the 2021 International Conference on Multimedia Retrieval (ICMR 2021).
Zhengyu Chen, Jixie Ge, Heshen Zhan, Siteng Huang, Donglin Wang, "Pareto Self-Supervised Training for Few-Shot Learning". In Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021). [arXiv]
Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang, "Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition". In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021). [project page] [arXiv] [bib] [code] [poster] [slide]
Siteng Huang, Donglin Wang, Xuehan Wu, Ao Tang, "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting". In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019). [project page] [paper] [bib] [code] [poster] [slide]