| 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 | 45* | 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 | 38 | 2021 |
| Splitting steepest descent for growing neural architectures L Wu, D Wang, Q Liu Advances in neural information processing systems 32, 2019 | 30 | 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 | 25 | 2020 |
| Diffusion-based molecule generation with informative prior bridges L Wu, C Gong, X Liu, M Ye, Q Liu arXiv preprint arXiv:2209.00865, 2022 | 23 | 2022 |
| Centroid transformers: Learning to abstract with attention L Wu, X Liu, Q Liu arXiv preprint arXiv:2102.08606, 2021 | 21 | 2021 |
| 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 | 17 | 2019 |
| Let us build bridges: Understanding and extending diffusion generative models X Liu, L Wu, M Ye, Q Liu arXiv preprint arXiv:2208.14699, 2022 | 13 | 2022 |
| Residual mixture of experts L Wu, M Liu, Y Chen, D Chen, X Dai, L Yuan arXiv preprint arXiv:2204.09636, 2022 | 12 | 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 | 12 | 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 | 9 | 2020 |
| First hitting diffusion models M Ye, L Wu, Q Liu arXiv preprint arXiv:2209.01170, 2022 | 6 | 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 | 5 | 2020 |
| Neural Volumetric Mesh Generator Y Zheng, L Wu, X Liu, Z Chen, Q Liu, Q Huang arXiv preprint arXiv:2210.03158, 2022 | 3 | 2022 |
| First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data M Ye, L Wu, Q Liu Advances in Neural Information Processing Systems, 2022 | 3 | 2022 |
| Learning Diffusion Bridges on Constrained Domains X Liu, L Wu, M Ye The Eleventh International Conference on Learning Representations, 2023 | 2 | 2023 |
| How to fill the optimum set? population gradient descent with harmless diversity C Gong, L Wu, Q Liu arXiv preprint arXiv:2202.08376, 2022 | 2 | 2022 |
| 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 | 1 | 2023 |
| Diffusion-based Molecule Generation with Informative Prior Bridges C Gong, L Wu, X Liu, M Ye NeurIPS 2022 AI for Science: Progress and Promises, 0 | 1 | |
| AutoML-GPT: Automatic Machine Learning with GPT S Zhang, C Gong, L Wu, X Liu, M Zhou arXiv preprint arXiv:2305.02499, 2023 | | 2023 |
Qiang LiuAssistant Professor of Computer Science, UT AustinVerified email at cs.utexas.edu
