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Lemeng  Wu
Lemeng Wu
Computer Science Ph.D, UT Austin
Verified email at cs.utexas.edu - Homepage
Title
Cited by
Cited by
Year
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
732018
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
702022
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
692021
Let us build bridges: Understanding and extending diffusion generative models
X Liu, L Wu, M Ye, Q Liu
arXiv preprint arXiv:2208.14699, 2022
512022
Splitting steepest descent for growing neural architectures
L Wu, D Wang, Q Liu
Advances in neural information processing systems 32, 2019
462019
Automl-gpt: Automatic machine learning with gpt
S Zhang, C Gong, L Wu, X Liu, M Zhou
arXiv preprint arXiv:2305.02499, 2023
452023
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
432020
Centroid transformers: Learning to abstract with attention
L Wu, X Liu, Q Liu
arXiv preprint arXiv:2102.08606, 2021
282021
Learning diffusion bridges on constrained domains
X Liu, L Wu
international conference on learning representations (ICLR), 2023
232023
Residual mixture of experts
L Wu, M Liu, Y Chen, D Chen, X Dai, L Yuan
arXiv preprint arXiv:2204.09636, 2022
222022
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
202024
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
202023
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
192019
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
182022
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
152019
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
132020
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
112020
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
82023
Neural volumetric mesh generator
Y Zheng, L Wu, X Liu, Z Chen, Q Liu, Q Huang
arXiv preprint arXiv:2210.03158, 2022
82022
How to fill the optimum set? population gradient descent with harmless diversity
C Gong, L Wu, Q Liu
arXiv preprint arXiv:2202.08376, 2022
42022
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