Liu Yu

Orcid: 0000-0003-4320-2721

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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

Delight-UPS: Uncalibrated Photometric Stereo via Diffusion Model-Based Relighting.
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
Mixup-based Unified Framework to Overcome Gender Bias Resurgence.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Self-Supervised Rumor Detection with Augmented Variational Graphs.
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


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