Sicheng Yu
According to our database1,
Sicheng Yu
authored at least 24 papers
between 2019 and 2025.
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Bibliography
2025
CoRR, July, 2025
CoRR, July, 2025
CoRR, July, 2025
CoRR, June, 2025
Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs.
CoRR, May, 2025
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
TKA-MIL: Top-K Attention Multiple Instance Learning for Whole Slide Image Classification and Instance Probability Derivation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2022
Phase Noise Suppression for Backscatter Communication with Tunable Delay Matching Block.
Proceedings of the 12th IEEE International Conference on RFID Technology and Applications, 2022
Proceedings of the IEEE International Conference on Acoustics, 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 2: Short Papers), 2022
2021
Proceedings of the IEEE International Conference on RFID Technology and Applications, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020
2019
Employee profiling via aspect-based sentiment and network for insider threats detection.
Expert Syst. Appl., 2019