Zongxiong Chen
Orcid: 0000-0003-2452-0572
According to our database1,
Zongxiong Chen authored at least 23 papers
between 2014 and 2026.
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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
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
Proceedings of the 55. Jahrestagung der Gesellschaft für Informatik, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
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
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
Proceedings of the Joint Proceedings of Posters, 2024
Proceedings of the Semantic Web: ESWC 2024 Satellite Events, 2024
2023
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness.
CoRR, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 1st Conference on Research Data Infrastructure - Connecting Communities, 2023
2020
Proceedings of the 2020 International Conference on Management of Data, 2020
2014
Proceedings of the IEEE International Conference on Information and Automation, 2014