Publications

This is an incomplete list of papers. See my Google Scholar for a complete list.
(* denotes co-first authors)

Rich Human Feedback for Text-to-Image Generation
Youwei Liang*, Junfeng He*, Gang Li*, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katherine M. Collins, Yiwen Luo, Yang Li, Kai J Kohlhoff, Deepak Ramachandran, and Vidhya Navalpakkam
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Best Paper Award), 2024.
[CVPR] [arXiv] [Dataset] [Poster] [Video]

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction
Youwei Liang*, Kevin Stone*, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, and Yuandong Tian
International Conference on Machine Learning (ICML), 2023.
[arXiv] [Code]

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations
Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, and Pengtao Xie
International Conference on Learning Representations (ICLR Spotlight), 2022.
[PDF] [Code]

Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
Chongjian Ge, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, and Ping Luo
Advances in Neural Information Processing Systems (NeurIPS), 2021.
[arXiv] [Code]

Large Norms of CNN Layers Do Not Hurt Adversarial Robustness
Youwei Liang, and Dong Huang
AAAI Conference on Artificial Intelligence (AAAI), 2021.
[arXiv] [Poster] [Code]

Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency
Youwei Liang, Dong Huang, Chang-Dong Wang, and Philip S. Yu
IEEE Transactions on Neural Networks and Learning Systems, 2022.
[arXiv] [Code]

Gradient Projection for Solving Quadratic Programs with Standard Simplex Constraints
Youwei Liang
Technical report.
[arXiv]

Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering
Youwei Liang, Dong Huang, and Chang-Dong Wang
IEEE International Conference on Data Mining (ICDM), 2019.
[PDF] [Code] [Slides] [YouTube] [Bilibili]