Chaofan Tao
Orcid: 0000-0002-6093-0854
According to our database1,
Chaofan Tao
authored at least 27 papers
between 2019 and 2024.
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Bibliography
2024
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2024
FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Pattern Recognit., 2024
D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models.
CoRR, 2024
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models.
CoRR, 2024
2023
CoRR, 2023
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.
CoRR, 2023
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
CoRR, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
A case-based interpretable deep learning model for classification of mass lesions in digital mammography.
Nat. Mach. Intell., 2021
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning.
CoRR, 2021
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography.
CoRR, 2021
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation.
CoRR, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing.
Proceedings of the 14th IEEE International Conference on ASIC, 2021
2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
CoRR, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019