| Efficientsam: Leveraged masked image pretraining for efficient segment anything Y Xiong, B Varadarajan, L Wu, X Xiang, F Xiao, C Zhu, X Dai, D Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 115 | 2024 |
| Diffusion-based molecule generation with informative prior bridges L Wu, C Gong, X Liu, M Ye, Q Liu Advances in Neural Information Processing Systems 35, 36533-36545, 2022 | 106 | 2022 |
| Generating Animated Videos of Human Activities from Natural Language Descriptions AS Lin, L Wu, R Corona, K Tai, Q Huang, RJ Mooney In Proceedings of the Visually Grounded Interaction and Language Workshop at …, 2018 | 89 | 2018 |
| Fusedream: Training-free text-to-image generation with improved clip+ gan space optimization X Liu, C Gong, L Wu, S Zhang, H Su, Q Liu arXiv preprint arXiv:2112.01573, 2021 | 82 | 2021 |
| Automl-gpt: Automatic machine learning with gpt S Zhang, C Gong, L Wu, X Liu, M Zhou arXiv preprint arXiv:2305.02499, 2023 | 79 | 2023 |
| Let us build bridges: Understanding and extending diffusion generative models X Liu, L Wu, M Ye, Q Liu arXiv preprint arXiv:2208.14699, 2022 | 73 | 2022 |
| Splitting steepest descent for growing neural architectures L Wu, D Wang, Q Liu Advances in neural information processing systems 32, 2019 | 61 | 2019 |
| Firefly neural architecture descent: a general approach for growing neural networks L Wu, B Liu, P Stone, Q Liu Advances in neural information processing systems 33, 22373-22383, 2020 | 60 | 2020 |
| Fast point cloud generation with straight flows L Wu, D Wang, C Gong, X Liu, Y Xiong, R Ranjan, R Krishnamoorthi, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 40 | 2023 |
| Residual mixture of experts L Wu, M Liu, Y Chen, D Chen, X Dai, L Yuan arXiv preprint arXiv:2204.09636, 2022 | 35 | 2022 |
| Centroid transformers: Learning to abstract with attention L Wu, X Liu, Q Liu arXiv preprint arXiv:2102.08606, 2021 | 35 | 2021 |
| Learning diffusion bridges on constrained domains X Liu, L Wu international conference on learning representations (ICLR), 2023 | 33 | 2023 |
| First hitting diffusion models for generating manifold, graph and categorical data M Ye, L Wu, Q Liu Advances in Neural Information Processing Systems 35, 27280-27292, 2022 | 26 | 2022 |
| Energy-aware neural architecture optimization with fast splitting steepest descent D Wang, M Li, L Wu, V Chandra, Q Liu arXiv preprint arXiv:1910.03103, 2019 | 21 | 2019 |
| Longvu: Spatiotemporal adaptive compression for long video-language understanding X Shen, Y Xiong, C Zhao, L Wu, J Chen, C Zhu, Z Liu, F Xiao, ... arXiv preprint arXiv:2410.17434, 2024 | 16 | 2024 |
| Greedy optimization provably wins the lottery: Logarithmic number of winning tickets is enough M Ye, L Wu, Q Liu Advances in Neural Information Processing Systems 33, 16409-16420, 2020 | 15 | 2020 |
| Path-invariant map networks Z Zhang, Z Liang, L Wu, X Zhou, Q Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 15 | 2019 |
| Neural volumetric mesh generator Y Zheng, L Wu, X Liu, Z Chen, Q Liu, Q Huang arXiv preprint arXiv:2210.03158, 2022 | 13 | 2022 |
| Steepest descent neural architecture optimization: Escaping local optimum with signed neural splitting L Wu, M Ye, Q Lei, JD Lee, Q Liu arXiv preprint arXiv:2003.10392, 2020 | 13 | 2020 |
| Flowgrad: Controlling the output of generative odes with gradients X Liu, L Wu, S Zhang, C Gong, W Ping, Q Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
Qiang LiuAssociate Professor of Computer Science, UT AustinVerified email at cs.utexas.edu