Yejia Liu

According to our database, Yejia Liu authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces.

Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren

CoRR, 2024

2023

Web Connector: A Unified API Wrapper to Simplify Web Data Collection.

Weiyuan Wu, Pei Wang, Yi Xie, Yejia Liu, George Chow, Jiannan Wang

Proc. VLDB Endow., 2023

ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Auto-Encoder in Urban Scenes.

Tianchen Deng, Siyang Liu, Xuan Wang, Yejia Liu, Danwei Wang, Weidong Chen

CoRR, 2023

MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption.

Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren

CoRR, 2023

Control Strategy of Discrete Event Systems Modeled by Labeled Petri Nets Based on Transition Priority.

Yejia Liu, Xunbo Li, Zhiwu Li

IEEE Access, 2023

Sequence Planning for Labeled Petri Nets With Time and Resource Constraints Using Basis Markings.

Yejia Liu, Xunbo Li, Ahmed M. El-Sherbeeny

IEEE Access, 2023

2022

Complaint-Driven Training Data Debugging at Interactive Speeds.

Lampros Flokas, Weiyuan Wu, Yejia Liu, Jiannan Wang, Nakul Verma, Eugene Wu

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning.

Yejia Liu, Wang Zhu, Shaolei Ren

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LeHDC: learning-based hyperdimensional computing classifier.

Shijin Duan, Yejia Liu, Shaolei Ren, Xiaolin Xu

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Enabling SQL-based Training Data Debugging for Federated Learning.

Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu

Proc. VLDB Endow., 2021

2018

Model Trees for Identifying Exceptional Players in the NHL Draft.

Oliver Schulte, Yejia Liu, Chao Li

CoRR, 2018

Model Trees for Identifying Exceptional Players in the NHL and NBA Drafts.

Yejia Liu, Oliver Schulte, Chao Li

Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018), 2018

Multi-objective Artificial Bee Colony in Mode Separation of Guided Waves for Scatting Coefficient Matrix Reconstruction.

Xiang Li, Zhiyong Zhang, Wei Guo, Yejia Liu, Wenjie Yu, Xunbo Li

Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018