Zongxiong Chen

Orcid: 0000-0003-2452-0572

According to our database1, Zongxiong Chen authored at least 23 papers between 2014 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
Mixture of Orthogonal Decomposition for Semantically Generalisable Multimodal Deepfake Detection with Deepfake Manifold Disentanglement.
Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

NERdME: A Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories.
Proceedings of the ACM Web Conference 2026, 2026

2025
NERdME (Version 1.1): a Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories.
Dataset, November, 2025

NERdME (Version 1.0): a Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories.
Dataset, May, 2025

A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models.
CoRR, March, 2025

Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update.
CoRR, January, 2025

A Survey on Metadata for Machine Learning Models and Datasets: Standards, Practices, and Harmonization Challenges.
Proceedings of the 5th International Workshop on Scientific Knowledge: Representation, 2025

GDCK: Efficient Large-Scale Graph Distillation Utilizing a Model-Free Kernelized Approach.
Proceedings of the Data Science: Foundations and Applications, 2025


VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Ensuring FAIRness in Machine Learning Projects.
Proceedings of the 4th International Workshop on Scientific Knowledge: Representation, 2024

PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Towards Trustworthy Dataset Distillation: A Benchmark of Privacy, Fairness and Robustness.
Proceedings of the International Joint Conference on Neural Networks, 2024

NFDI4DSO: Towards a BFO Compliant Ontology for Data Science.
Proceedings of the Joint Proceedings of Posters, 2024

Converter: Enhancing Interoperability in Research Data Management.
Proceedings of the Semantic Web: ESWC 2024 Satellite Events, 2024

2023

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness.
CoRR, 2023

A Survey on Dataset Distillation: Approaches, Applications and Future Directions.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

NFDI4DS Gateway and Portal.
Proceedings of the 1st Conference on Research Data Infrastructure - Connecting Communities, 2023

2020
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation.
Proceedings of the 2020 International Conference on Management of Data, 2020

2014
A method of evidence of combination based on the improved similarity measure.
Proceedings of the IEEE International Conference on Information and Automation, 2014


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