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Youwei Liang
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2020 – today
- 2024
- [j1]Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu:
Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2848-2862 (2024) - [c9]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:
Rich Human Feedback for Text-to-Image Generation. CVPR 2024: 19401-19411 - [c8]Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie:
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models. ICML 2024 - [c7]Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie:
BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation. ICML 2024 - [c6]Sai Ashish Somayajula, Youwei Liang, Li Zhang, Abhishek Singh, Pengtao Xie:
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts. NAACL-HLT 2024: 4936-4953 - [i14]Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie:
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM. CoRR abs/2402.16338 (2024) - [i13]Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie:
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models. CoRR abs/2402.18059 (2024) - [i12]Sai Ashish Somayajula, Youwei Liang, Abhishek Singh, Li Zhang, Pengtao Xie:
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts. CoRR abs/2403.12918 (2024) - [i11]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:
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation. CoRR abs/2406.16807 (2024) - 2023
- [c5]Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian:
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. ICML 2023: 20746-20762 - [i10]Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, Yuandong Tian:
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. CoRR abs/2301.05104 (2023) - [i9]Youwei Liang, Ruiyi Zhang, Li Zhang, Pengtao Xie:
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs. CoRR abs/2309.03907 (2023) - [i8]Chris Cummins, Volker Seeker, Dejan Grubisic, Mostafa Elhoushi, Youwei Liang, Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Kim M. Hazelwood, Gabriel Synnaeve, Hugh Leather:
Large Language Models for Compiler Optimization. CoRR abs/2309.07062 (2023) - [i7]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:
UniAR: Unifying Human Attention and Response Prediction on Visual Content. CoRR abs/2312.10175 (2023) - [i6]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, Katie Collins, Yiwen Luo, Yang Li, Kai J. Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam:
Rich Human Feedback for Text-to-Image Generation. CoRR abs/2312.10240 (2023) - 2022
- [c4]Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie:
EViT: Expediting Vision Transformers via Token Reorganizations. ICLR 2022 - [i5]Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie:
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations. CoRR abs/2202.07800 (2022) - 2021
- [c3]Youwei Liang, Dong Huang:
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness. AAAI 2021: 8565-8573 - [c2]Chongjian Ge, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, Ping Luo:
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning. NeurIPS 2021: 4193-4206 - [i4]Chongjian Ge, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, Ping Luo:
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning. CoRR abs/2110.05340 (2021) - [i3]Ruisi Zhang, Youwei Liang, Sai Ashish Somayajula, Pengtao Xie:
Improving Differentiable Architecture Search with a Generative Model. CoRR abs/2112.00171 (2021) - 2020
- [i2]Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu:
Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency. CoRR abs/2008.10208 (2020) - [i1]Youwei Liang, Dong Huang:
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness. CoRR abs/2009.08435 (2020)
2010 – 2019
- 2019
- [c1]Youwei Liang, Dong Huang, Chang-Dong Wang:
Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering. ICDM 2019: 1204-1209
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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