Youwei Liang

According to our database, Youwei Liang authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency.

Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu

IEEE Trans. Neural Networks Learn. Syst., February, 2024

AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model.

Yuchen Li, Li Zhang, Youwei Liang, Pengtao Xie

CoRR, 2024

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

Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie

CoRR, 2024

UniAR: A Unified model for predicting human Attention and Responses on visual content.

Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen, Nachiappan Valliappan, Youwei Liang, Hongxiang Gu, Venky Ramachandran, Golnaz Farhadi, Yang Li, Kai Kohlhoff, Vidhya Navalpakkam

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts.

Sai Ashish Somayajula, Youwei Liang, Li Zhang, Abhishek Singh, Pengtao Xie

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.

Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models.

Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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, Vidhya Navalpakkam

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

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

Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen, Nachiappan Valliappan, Youwei Liang, Hongxiang Gu, Venky Ramachandran, Golnaz Farhadi, Yang Li, Kai J. Kohlhoff, Vidhya Navalpakkam

CoRR, 2023

Large Language Models for Compiler Optimization.

Chris Cummins, Volker Seeker, Dejan Grubisic, Mostafa Elhoushi, Youwei Liang, Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Kim M. Hazelwood, Gabriel Synnaeve, Hugh Leather

CoRR, 2023

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

Youwei Liang, Ruiyi Zhang, Li Zhang, Pengtao Xie

CoRR, 2023

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 James Leather, Yuandong Tian

Proceedings of the International Conference on Machine Learning, 2023

2022

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

Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie

CoRR, 2022

EViT: Expediting Vision Transformers via Token Reorganizations.

Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Improving Differentiable Architecture Search with a Generative Model.

Ruisi Zhang, Youwei Liang, Sai Ashish Somayajula, Pengtao Xie

CoRR, 2021

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

Chongjian Ge, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, Ping Luo

CoRR, 2021

Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning.

Chongjian Ge, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, Ping Luo

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.

Youwei Liang, Dong Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering.

Youwei Liang, Dong Huang, Chang-Dong Wang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019