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 | 57 | 2021 |
Certified monotonic neural networks X Liu, X Han, N Zhang, Q Liu Advances in Neural Information Processing Systems 33, 15427-15438, 2020 | 50 | 2020 |
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 |
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 | 29 | 2021 |
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 |
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 | 22 | 2022 |
Centroid transformers: Learning to abstract with attention L Wu, X Liu, Q Liu arXiv preprint arXiv:2102.08606, 2021 | 21 | 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 | 17 | 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 | 14 | 2022 |
Bi-objective trade-off with dynamic barrier gradient descent C Gong, X Liu NeurIPS 2021, 2021 | 14* | 2021 |
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 | 10 | 2022 |
A Langevin-like sampler for discrete distributions R Zhang, X Liu, Q Liu International Conference on Machine Learning, 26375-26396, 2022 | 9 | 2022 |
Sampling with trusthworthy constraints: A variational gradient framework X Liu, X Tong, Q Liu Advances in Neural Information Processing Systems 34, 23557-23568, 2021 | 5 | 2021 |