Yejia Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Artificial Bee Colony

Coefficient Matrix

Discrete Event Systems

Top Venues

Proc. VLDB Endow.

Publications

Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren
Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces. CoRR (2024)
Pengfei Li, Yejia Liu, Jianyi Yang, Shaolei Ren
Towards Socially and Environmentally Responsible AI. CoRR (2024)
Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren
Building Socially-Equitable Public Models. CoRR (2024)
Yejia Liu, Xunbo Li, Ahmed M. El-Sherbeeny
Sequence Planning for Labeled Petri Nets With Time and Resource Constraints Using Basis Markings. IEEE Access 11 (2023)
Weiyuan Wu, Pei Wang, Yi Xie, Yejia Liu, George Chow, Jiannan Wang
Web Connector: A Unified API Wrapper to Simplify Web Data Collection. Proc. VLDB Endow. 16 (12) (2023)
Tianchen Deng, Siyang Liu, Xuan Wang, Yejia Liu, Danwei Wang, Weidong Chen
ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Auto-Encoder in Urban Scenes. CoRR (2023)
Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption. CoRR (2023)
Yejia Liu, Xunbo Li, Zhiwu Li
Control Strategy of Discrete Event Systems Modeled by Labeled Petri Nets Based on Transition Priority. IEEE Access 11 (2023)
Lampros Flokas, Weiyuan Wu, Yejia Liu, Jiannan Wang, Nakul Verma, Eugene Wu
Complaint-Driven Training Data Debugging at Interactive Speeds. SIGMOD Conference (2022)
Yejia Liu, Wang Zhu, Shaolei Ren
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning. CoRR (2022)
Yejia Liu, Wang Zhu, Shaolei Ren
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning. NeurIPS (2022)
Shijin Duan, Yejia Liu, Shaolei Ren, Xiaolin Xu
LeHDC: learning-based hyperdimensional computing classifier. DAC (2022)
Shijin Duan, Yejia Liu, Shaolei Ren, Xiaolin Xu
LeHDC: Learning-Based Hyperdimensional Computing Classifier. CoRR (2022)
Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu
Enabling SQL-based Training Data Debugging for Federated Learning. Proc. VLDB Endow. 15 (3) (2021)
Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu
Enabling SQL-based Training Data Debugging for Federated Learning. CoRR (2021)
Yejia Liu, Oliver Schulte, Chao Li
Model Trees for Identifying Exceptional Players in the NHL and NBA Drafts. MLSA@PKDD/ECML (2018)
Xiang Li, Zhiyong Zhang, Wei Guo, Yejia Liu, Wenjie Yu, Xunbo Li
Multi-objective Artificial Bee Colony in Mode Separation of Guided Waves for Scatting Coefficient Matrix Reconstruction. ICPHM (2018)
Oliver Schulte, Yejia Liu, Chao Li
Model Trees for Identifying Exceptional Players in the NHL Draft. CoRR (2018)