| Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations Y Liang, C Ge, Z Tong, Y Song, J Wang, P Xie ICLR, 2022 | 319 | 2022 |
| Consistency meets inconsistency: A unified graph learning framework for multi-view clustering Y Liang, D Huang, CD Wang 2019 IEEE International Conference on Data Mining (ICDM), 1204-1209, 2019 | 121 | 2019 |
| Multi-view graph learning by joint modeling of consistency and inconsistency Y Liang, D Huang, CD Wang, PS Yu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 84 | 2022 |
| Multi-Modal Large Language Model Enables All-Purpose Prediction of Drug Mechanisms and Properties Y Liang, R Zhang, Y Li, M Huo, Z Ma, D Singh, C Gao, H Rahmani, ... bioRxiv, 2024.09. 29.615524, 2024 | 42* | 2024 |
| Rich human feedback for text-to-image generation Y Liang, J He, G Li, P Li, A Klimovskiy, N Carolan, J Sun, J Pont-Tuset, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 38 | 2024 |
| Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning C Ge, Y Liang, Y Song, J Jiao, J Wang, P Luo Advances in Neural Information Processing Systems (NeurIPS 2021), 2021 | 36 | 2021 |
| Large language models for compiler optimization C Cummins, V Seeker, D Grubisic, M Elhoushi, Y Liang, B Roziere, ... arXiv preprint arXiv:2309.07062, 2023 | 35 | 2023 |
| Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models M Huo, SA Somayajula, Y Liang, R Zhang, F Koushanfar, P Xie arXiv preprint arXiv:2402.18059, 2024 | 11 | 2024 |
| Large Norms of CNN Layers Do Not Hurt Adversarial Robustness Y Liang, D Huang AAAI Conference on Artificial Intelligence (AAAI 2021), 2021 | 9 | 2021 |
| Not all patches are what you need: expediting vision transformers via token reorganizations (2022) Y Liang, C Ge, Z Tong, Y Song, J Wang, P Xie arXiv preprint arXiv:2202.07800, 2022 | 6 | 2022 |
| Learning compiler pass orders using coreset and normalized value prediction Y Liang, K Stone, A Shameli, C Cummins, M Elhoushi, J Guo, B Steiner, ... International Conference on Machine Learning, 20746-20762, 2023 | 5 | 2023 |
| BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation L Zhang, Y Liang, R Zhang, A Javadi, P Xie Forty-first International Conference on Machine Learning, 0 | 4* | |
| UniAR: Unifying Human Attention and Response Prediction on Visual Content P Li, J He, G Li, R Bhargava, S Shen, N Valliappan, Y Liang, H Gu, ... arXiv preprint arXiv:2312.10175, 2023 | 3 | 2023 |
| Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts SA Somayajula, Y Liang, A Singh, L Zhang, P Xie arXiv preprint arXiv:2403.12918, 2024 | 2 | 2024 |
| Detection of Glaucoma Progression on Longitudinal Series of Macular Optical Coherence Tomography Angiography Maps with a Deep Learning Model V Mohammadzadeh, S Moghimi, Y Liang, P Xie, T Nishida, A Kamalipour, ... Investigative Ophthalmology & Visual Science 63 (7), 2919–F0072-2919–F0072, 2022 | 2 | 2022 |
| AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model Y Li, L Zhang, Y Liang, P Xie arXiv preprint arXiv:2410.09714, 2024 | 1 | 2024 |
| Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model V Mohammadzadeh, Y Liang, S Moghimi, P Xie, T Nishida, ... British Journal of Ophthalmology 108 (12), 1688-1693, 2024 | | 2024 |
| Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts S Ashish Somayajula, Y Liang, A Singh, L Zhang, P Xie arXiv e-prints, arXiv: 2403.12918, 2024 | | 2024 |
| Improving long COVID-related text classification: a novel end-to-end domain-adaptive paraphrasing framework SA Somayajula, O Litake, Y Liang, R Hosseini, S Nemati, DO Wilson, ... Scientific Reports 14 (1), 85, 2024 | | 2024 |
| Improving Differentiable Architecture Search with a Generative Model R Zhang, Y Liang, SA Somayajula, P Xie arXiv preprint arXiv:2112.00171, 2021 | | 2021 |
Pengtao XieAssistant Professor, UC San Diego; Adjunct Faculty, MBZUAIVerified email at eng.ucsd.edu
