Xingchao Liu
Xingchao Liu
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Flow straight and fast: Learning to generate and transfer data with rectified flow
X Liu, C Gong, Q Liu
arXiv preprint arXiv:2209.03003, 2022
Conflict-averse gradient descent for multi-task learning
B Liu, X Liu, X Jin, P Stone, Q Liu
Advances in Neural Information Processing Systems 34, 18878-18890, 2021
Certified monotonic neural networks
X Liu, X Han, N Zhang, Q Liu
Advances in Neural Information Processing Systems 33, 15427-15438, 2020
Let us build bridges: Understanding and extending diffusion generative models
X Liu, L Wu, M Ye, Q Liu
arXiv preprint arXiv:2208.14699, 2022
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
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
Instaflow: One step is enough for high-quality diffusion-based text-to-image generation
X Liu, X Zhang, J Ma, J Peng
The Twelfth International Conference on Learning Representations, 2023
Automl-gpt: Automatic machine learning with gpt
S Zhang, C Gong, L Wu, X Liu, M Zhou
arXiv preprint arXiv:2305.02499, 2023
Post-training quantization with multiple points: Mixed precision without mixed precision
X Liu, M Ye, D Zhou, Q Liu
Proceedings of the AAAI conference on artificial intelligence 35 (10), 8697-8705, 2021
Profiling pareto front with multi-objective stein variational gradient descent
X Liu, X Tong, Q Liu
Advances in Neural Information Processing Systems 34, 14721-14733, 2021
A langevin-like sampler for discrete distributions
R Zhang, X Liu, Q Liu
International Conference on Machine Learning, 26375-26396, 2022
Allsh: Active learning guided by local sensitivity and hardness
S Zhang, C Gong, X Liu, P He, W Chen, M Zhou
arXiv preprint arXiv:2205.04980, 2022
Bi-objective trade-off with dynamic barrier gradient descent
C Gong, X Liu
NeurIPS 2021, 2021
Centroid transformers: Learning to abstract with attention
L Wu, X Liu, Q Liu
arXiv preprint arXiv:2102.08606, 2021
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
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
Sampling with trusthworthy constraints: A variational gradient framework
X Liu, X Tong, Q Liu
Advances in Neural Information Processing Systems 34, 23557-23568, 2021
Language rectified flow: Advancing diffusion language generation with probabilistic flows
S Zhang, L Wu, C Gong, X Liu
arXiv preprint arXiv:2403.16995, 2024
DISCS: a benchmark for discrete sampling
K Goshvadi, H Sun, X Liu, A Nova, R Zhang, W Grathwohl, D Schuurmans, ...
Advances in Neural Information Processing Systems 36, 2024
Layer Compression of Deep Networks with Straight Flows
C Gong, X Du, B Bhushanam, L Wu, X Liu, D Choudhary, A Kejariwal, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12181 …, 2024
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