Zecheng Tang
Orcid: 0000-0002-4688-7394
According to our database1,
Zecheng Tang
authored at least 24 papers
between 2022 and 2024.
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Bibliography
2024
IEEE Trans. Fuzzy Syst., August, 2024
Robust Modeling for Industrial Process Based on Frequency Reconstructed Fuzzy Neural Network.
IEEE Trans. Fuzzy Syst., January, 2024
Eng. Appl. Artif. Intell., 2024
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models.
CoRR, 2024
CoRR, 2024
Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting.
CoRR, 2023
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch.
CoRR, 2023
CoRR, 2023
Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting.
Proceedings of the Natural Language Processing and Chinese Computing, 2023
Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
General High-Pass Convolution: A Novel Convolutional Layer for Image Manipulation Detection.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022