Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering. - Youwei Liang; Dong Huang 001; Chang-Dong Wang 001 (ICDM, 2019)

Large Norms of CNN Layers Do Not Hurt Adversarial Robustness. - Youwei Liang; Dong Huang (AAAI, 2021)

Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning. - Chongjian Ge; Youwei Liang; Yibing Song; Jianbo Jiao; Jue Wang 001; Ping Luo 002 (NeurIPS, 2021)

Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning. - Chongjian Ge; Youwei Liang; Yibing Song; Jianbo Jiao; Jue Wang 001; Ping Luo 002 (CoRR, 2021)

Improving Differentiable Architecture Search with a Generative Model. - Ruisi Zhang; Youwei Liang; Sai Ashish Somayajula; Pengtao Xie (CoRR, 2021)

EViT: Expediting Vision Transformers via Token Reorganizations. - Youwei Liang; Chongjian Ge; Zhan Tong; Yibing Song; Jue Wang 001; Pengtao Xie (ICLR, 2022)

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations. - Youwei Liang; Chongjian Ge; Zhan Tong; Yibing Song; Jue Wang 001; Pengtao Xie (CoRR, 2022)

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 (ICML, 2023)

DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs. - Youwei Liang; Ruiyi Zhang; Li Zhang; Pengtao Xie (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)

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; et al. (CoRR, 2023)

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; et al. (AIES (1), 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; et al. (CVPR, 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 (ICML, 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 (ICML, 2024)

Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts. - Sai Ashish Somayajula; Youwei Liang; Li Zhang; Abhishek Singh; Pengtao Xie (NAACL-HLT, 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; et al. (NeurIPS, 2024)

BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM. - Li Zhang; Youwei Liang; Ruiyi Zhang; Amirhosein Javadi; Pengtao Xie (CoRR, 2024)

AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model. - Yuchen Li; Li Zhang; Youwei Liang; Pengtao Xie (CoRR, 2024)

Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency. - Youwei Liang; Dong Huang 001; Chang-Dong Wang 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)