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ORCIDYejia Liu
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2020 – today
- 2024
[c6]Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren:
Building Socially-Equitable Public Models. ICML 2024- [i9]Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren
:
Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces. CoRR abs/2403.13844 (2024) - [i8]Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren:
Building Socially-Equitable Public Models. CoRR abs/2406.02790 (2024) - [i7]Pengfei Li, Yejia Liu, Jianyi Yang, Shaolei Ren:
Towards Socially and Environmentally Responsible AI. CoRR abs/2407.05176 (2024) - 2023
- [j4]Yejia Liu, Xunbo Li, Zhiwu Li:
Control Strategy of Discrete Event Systems Modeled by Labeled Petri Nets Based on Transition Priority. IEEE Access 11: 45442-45455 (2023) - [j3]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: 109500-109512 (2023) - [j2]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): 4042-4045 (2023) - [i6]Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren:
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption. CoRR abs/2302.12347 (2023) - [i5]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 abs/2312.09076 (2023) - 2022
- [c5]Shijin Duan, Yejia Liu, Shaolei Ren, Xiaolin Xu:
LeHDC: learning-based hyperdimensional computing classifier. DAC 2022: 1111-1116 - [c4]Yejia Liu, Wang Zhu, Shaolei Ren:
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning. NeurIPS 2022 - [c3]Lampros Flokas, Weiyuan Wu, Yejia Liu, Jiannan Wang, Nakul Verma, Eugene Wu:
Complaint-Driven Training Data Debugging at Interactive Speeds. SIGMOD Conference 2022: 369-383 - [i4]Shijin Duan, Yejia Liu, Shaolei Ren, Xiaolin Xu:
LeHDC: Learning-Based Hyperdimensional Computing Classifier. CoRR abs/2203.09680 (2022) - [i3]Yejia Liu, Wang Zhu, Shaolei Ren:
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning. CoRR abs/2210.08442 (2022) - 2021
- [j1]Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu:
Enabling SQL-based Training Data Debugging for Federated Learning. Proc. VLDB Endow. 15(3): 388-400 (2021) - [i2]Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu:
Enabling SQL-based Training Data Debugging for Federated Learning. CoRR abs/2108.11884 (2021)
2010 – 2019
- 2018
- [c2]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: 1-7 - [c1]Yejia Liu, Oliver Schulte, Chao Li:
Model Trees for Identifying Exceptional Players in the NHL and NBA Drafts. MLSA@PKDD/ECML 2018: 93-105 - [i1]Oliver Schulte, Yejia Liu, Chao Li:
Model Trees for Identifying Exceptional Players in the NHL Draft. CoRR abs/1802.08765 (2018)
Coauthor Index
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