Youwei Liang

Orcid: 0000-0003-4670-7645

According to our database1, Youwei Liang authored at least 18 papers between 2019 and 2024.

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Bibliography

2024
Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation.
CoRR, 2024

BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM.
CoRR, 2024

Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rich Human Feedback for Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
UniAR: Unifying Human Attention and Response Prediction on Visual Content.
CoRR, 2023

Large Language Models for Compiler Optimization.
CoRR, 2023

DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs.
CoRR, 2023

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction.
Proceedings of the International Conference on Machine Learning, 2023

2022
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations.
CoRR, 2022

EViT: Expediting Vision Transformers via Token Reorganizations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Improving Differentiable Architecture Search with a Generative Model.
CoRR, 2021

Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning.
CoRR, 2021

Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Large Norms of CNN Layers Do Not Hurt Adversarial Robustness.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019


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