Liu Yu
Orcid: 0000-0003-4320-2721Affiliations:
- University of Electronic Science and Technology of China, Chengdu, China
According to our database1,
Liu Yu authored at least 17 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
TIPS: Two-level prompt selection for more stability-plasticity balance in continual learning.
Pattern Recognit., 2026
Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Amplifying commonsense knowledge via bi-directional relation integrated graph-based contrastive pre-training from large language models.
Inf. Process. Manag., 2025
Bimodal Debiasing for Text-to-Image Diffusion: Adaptive Guidance in Textual and Visual Spaces.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Knowledge Graphs Acquisition via Forward-Reverse Relation Enhanced Contrastive Pretraining from Large-scale Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025
Decoupling Overlapped Feature Spaces: When Continual Learning Meets Fine-Grain Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Transformer-enhanced Hawkes process with decoupling training for information cascade prediction.
Knowl. Based Syst., 2022
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021