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 | 80 | 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 | 76 | 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 | 68 | 2021 |
Let us build bridges: Understanding and extending diffusion generative models X Liu, L Wu, M Ye, Q Liu arXiv preprint arXiv:2208.14699, 2022 | 61 | 2022 |
Automl-gpt: Automatic machine learning with gpt S Zhang, C Gong, L Wu, X Liu, M Zhou arXiv preprint arXiv:2305.02499, 2023 | 54 | 2023 |
Splitting steepest descent for growing neural architectures L Wu, D Wang, Q Liu Advances in neural information processing systems 32, 2019 | 50 | 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 | 44 | 2020 |
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 | 40 | 2024 |
Centroid transformers: Learning to abstract with attention L Wu, X Liu, Q Liu arXiv preprint arXiv:2102.08606, 2021 | 30 | 2021 |
Residual mixture of experts L Wu, M Liu, Y Chen, D Chen, X Dai, L Yuan arXiv preprint arXiv:2204.09636, 2022 | 28 | 2022 |
Learning diffusion bridges on constrained domains X Liu, L Wu international conference on learning representations (ICLR), 2023 | 25 | 2023 |
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 | 22 | 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 | 20 | 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 | 19 | 2019 |
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 |
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 | 14 | 2020 |
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 | 11 | 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 | 9 | 2023 |
Neural volumetric mesh generator Y Zheng, L Wu, X Liu, Z Chen, Q Liu, Q Huang arXiv preprint arXiv:2210.03158, 2022 | 9 | 2022 |
How to fill the optimum set? population gradient descent with harmless diversity C Gong, L Wu, Q Liu arXiv preprint arXiv:2202.08376, 2022 | 5 | 2022 |