Yejia Liu

Orcid: 0009-0007-5494-5092

According to our database1, Yejia Liu authored at least 21 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?
CoRR, April, 2026

MoViD: View-Invariant 3D Human Pose Estimation via Motion-View Disentanglement.
Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems, 2026

2025
Chorus: Harmonizing Context and Sensing Signals for Data-Free Model Customization in IoT.
CoRR, December, 2025

Predicting Public Health Impacts of Electricity Usage.
CoRR, November, 2025

Demo: FreePose: Real-Time View-Invariant 3D Human Pose Estimation via Motion-View Disentanglement.
Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

Towards Vector Optimization on Low-Dimensional Vector Symbolic Architecture.
Proceedings of the Conference on Parsimony and Learning, 2025

2024
Towards Socially and Environmentally Responsible AI.
CoRR, 2024

Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces.
CoRR, 2024

Building Socially-Equitable Public Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Web Connector: A Unified API Wrapper to Simplify Web Data Collection.
Proc. VLDB Endow., 2023

ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Auto-Encoder in Urban Scenes.
CoRR, 2023

MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption.
CoRR, 2023

Control Strategy of Discrete Event Systems Modeled by Labeled Petri Nets Based on Transition Priority.
IEEE Access, 2023

Sequence Planning for Labeled Petri Nets With Time and Resource Constraints Using Basis Markings.
IEEE Access, 2023

2022
Complaint-Driven Training Data Debugging at Interactive Speeds.
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.
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.
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.
Proc. VLDB Endow., 2021

2018
Model Trees for Identifying Exceptional Players in the NHL Draft.
CoRR, 2018

Model Trees for Identifying Exceptional Players in the NHL and NBA Drafts.
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.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018


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