Lida Shi
Orcid: 0000-0001-5011-6931
According to our database1,
Lida Shi
authored at least 21 papers
between 2020 and 2026.
Collaborative distances:
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Bibliography
2026
Inf. Process. Manag., 2026
Expert Syst. Appl., 2026
2025
InteChar: A Unified Oracle Bone Character List for Ancient Chinese Language Modeling.
CoRR, August, 2025
Counterfactual contrastive learning for robust text classification based on word group search.
Inf. Sci., 2025
DGJA: Dependency Graph-enhanced Joint Attention Structure for Multimodal Sarcasm Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
S5Utis: Structured State-Space Sequence SegNeXt UNet-like Tongue Image Segmentation in Traditional Chinese Medicine.
Sensors, July, 2024
Learning neighbor-enhanced region representations and question-guided visual representations for visual question answering.
Expert Syst. Appl., March, 2024
ATFA: Adversarial Time-Frequency Attention network for sensor-based multimodal human activity recognition.
Expert Syst. Appl., February, 2024
The SES framework and Frequency domain information fusion strategy for Human activity recognition.
Proceedings of the International Joint Conference on Neural Networks, 2024
Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
2023
Inf. Process. Manag., May, 2023
IET Comput. Vis., March, 2023
SUNET: Speaker-utterance interaction Graph Neural Network for Emotion Recognition in Conversations.
Eng. Appl. Artif. Intell., 2023
Toward Zero-shot Character Recognition: A Gold Standard Dataset with Radical-level Annotations.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
2022
CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoising.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2020
Optic Disc Segmentation Using Attention-Based U-Net and the Improved Cross-Entropy Convolutional Neural Network.
Entropy, 2020