Selected Publications

Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren (2024). Building Socially-Equitable Public Models. In ICML 2024.

Yejia Liu, Wang Zhu, Shaolei Ren (2022). Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning. In NeurIPS 2022.

Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren (2022). MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption. In tinyML 2023.

Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu (2022). Enabling SQL-based Training Data Debugging for Federated Learning. In VLDB 2022.

Shijin Duan, Yejia Liu, Shaolei Ren, Xiaolin Xu (2022). LeHDC: Learning-Based Hyperdimensional Computing Classifier. In DAC 2022.

Lampros Flokas, Weiyuan Wu, Yejia Liu, Jiannan Wang, Eugene Wu (2022). Complaint-Driven Training Data Debugging at Interactive Speeds. In SIGMOD 2022.

Yejia Liu, Oliver Schulte, Chao Li (2018). Model trees for identifying exceptional players in the NHL and NBA drafts. In MLSA@ECML-PKDD 2018.