I am currently employed at Amazon Web Services AI, focusing on foundation models related research, opensource projects, and products. Before this role, I was a postdoctoral researcher in the Department of Computer Science at ETH Zurich, under the guidance of Prof. Ce Zhang. I received a PhD degree from the school of computer science and engineering of UNSW Sydney, advised by Prof. Lina Yao, and my PhD study was also supported by CSIRO’s Data61 PhD Scholarship. I obtained a Bachelor degree from Nanjing University.
I am a recipient of the
- Best paper award runner-up at WSDM 2020
- Outstanding paper award at ICLR 2021
- Best of the Best conference paper award at Global Marketing Conference (GMC) 2023.
Lightweight In-Context Tuning for Multimodal Unified Models
Yixin Chen, Shuai Zhang, Boran Han, Jiaya Jia.
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alex Smola, Xu Sun.
NeurIPS 2023 . Thirty-seventh Conference on Neural Information Processing Systems. code
Data-Informed Geometric Space Selection
Shuai Zhang, Wenqi Jiang.
NeurIPS 2023 . Thirty-seventh Conference on Neural Information Processing Systems.
xFraud: Explainable Fraud Transaction Detection
Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang.
VLDB 2022 . The Proceedings of the VLDB Endowment. code
Neural Methods for Logical Reasoning over Knowledge Graphs
Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang.
ICLR 2022 . The International Conference on Learning Representations. code
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters
Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Hui, Jie Fu.
ICLR 2021. The International Conference on Learning Representations. code
Outstanding Paper Award.
Self-Instantiated Recurrent Units with Dynamic Soft Recursion
Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang
NeurIPS 2021 . Thirty-fifth Conference on Neural Information Processing Systems. code
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li.
WSDM 2020. The 13th ACM International Conference on Web Search and Data Mining.
Best Paper Award Runner-up.