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 (ICPHM, 2018)

Model Trees for Identifying Exceptional Players in the NHL and NBA Drafts. - Yejia Liu; Oliver Schulte; Chao Li 025 (MLSA@PKDD/ECML, 2018)

Model Trees for Identifying Exceptional Players in the NHL Draft. - Oliver Schulte; Yejia Liu; Chao Li 015 (CoRR, 2018)

Enabling SQL-based Training Data Debugging for Federated Learning. - Yejia Liu; Weiyuan Wu; Lampros Flokas; Jiannan Wang 001; Eugene Wu 002 (Proc. VLDB Endow., 2021)

LeHDC: learning-based hyperdimensional computing classifier. - Shijin Duan; Yejia Liu; Shaolei Ren; Xiaolin Xu 001 (DAC, 2022)

Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning. - Yejia Liu; Wang Zhu 001; Shaolei Ren (NeurIPS, 2022)

Complaint-Driven Training Data Debugging at Interactive Speeds. - Lampros Flokas; Weiyuan Wu; Yejia Liu; Jiannan Wang 001; Nakul Verma; Eugene Wu 002 (SIGMOD Conference, 2022)

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)

Control Strategy of Discrete Event Systems Modeled by Labeled Petri Nets Based on Transition Priority. - Yejia Liu; Xunbo Li; Zhiwu Li 001 (IEEE Access, 2023)

MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption. - Yejia Liu; Shijin Duan; Xiaolin Xu 001; Shaolei Ren (CoRR, 2023)

ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Auto-Encoder in Urban Scenes. - Tianchen Deng; Siyang Liu 004; Xuan Wang 009; Yejia Liu; Danwei Wang; Weidong Chen 001 (CoRR, 2023)

Web Connector: A Unified API Wrapper to Simplify Web Data Collection. - Weiyuan Wu; Pei Wang; Yi Xie; Yejia Liu; George Chow; Jiannan Wang 001 (Proc. VLDB Endow., 2023)

Building Socially-Equitable Public Models. - Yejia Liu; Jianyi Yang 001; Pengfei Li 008; Tongxin Li; Shaolei Ren (ICML, 2024)

Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces. - Yejia Liu; Shijin Duan; Xiaolin Xu 001; Shaolei Ren (CoRR, 2024)

Towards Socially and Environmentally Responsible AI. - Pengfei Li 008; Yejia Liu; Jianyi Yang 001; Shaolei Ren (CoRR, 2024)

Towards Vector Optimization on Low-Dimensional Vector Symbolic Architecture. - Shijin Duan; Yejia Liu; Gaowen Liu; Ramana Rao Kompella; Shaolei Ren; Xiaolin Xu 001 (CPAL, 2025)