| One-shot learning for semantic segmentation A Shaban, S Bansal, Z Liu, I Essa, B Boots arXiv preprint arXiv:1709.03410, 2017 | 537 | 2017 |
| SBEED: Convergent reinforcement learning with nonlinear function approximation B Dai, A Shaw, L Li, L Xiao, N He, Z Liu, J Chen, L Song International Conference on Machine Learning, 1125-1134, 2018 | 239 | 2018 |
| Learning towards minimum hyperspherical energy W Liu, R Lin, Z Liu, L Liu, Z Yu, B Dai, L Song Advances in Neural Information Processing Systems, 6222-6233, 2018 | 124 | 2018 |
| Decoupled networks W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 63 | 2018 |
| Towards black-box iterative machine teaching W Liu, B Dai, X Li, Z Liu, J Rehg, L Song International Conference on Machine Learning, 3141-3149, 2018 | 60 | 2018 |
| Exponential family estimation via adversarial dynamics embedding B Dai, Z Liu, H Dai, N He, A Gretton, L Song, D Schuurmans Advances in Neural Information Processing Systems, 10979-10990, 2019 | 47 | 2019 |
| Multi Robot Object-based SLAM S Choudhary, L Carlone, N Carlos, R John, Z Liu, HI Christensen, ... International Symposium on Experimental Robotics, 2016 | 37 | 2016 |
| Generative flow networks for discrete probabilistic modeling D Zhang, N Malkin, Z Liu, A Volokhova, A Courville, Y Bengio International Conference on Machine Learning, 26412-26428, 2022 | 32 | 2022 |
| Coupled variational bayes via optimization embedding B Dai, H Dai, N He, W Liu, Z Liu, J Chen, L Xiao, L Song Advances in Neural Information Processing Systems 31, 2018 | 29 | 2018 |
| Motion planning with graph-based trajectories and Gaussian process inference E Huang, M Mukadam, Z Liu, B Boots 2017 IEEE International Conference on Robotics and Automation (ICRA), 5591-5598, 2017 | 26 | 2017 |
| Learning with hyperspherical uniformity W Liu, R Lin, Z Liu, L Xiong, B Schölkopf, A Weller International Conference On Artificial Intelligence and Statistics, 1180-1188, 2021 | 25 | 2021 |
| Neural similarity learning W Liu, Z Liu, JM Rehg, L Song Advances in Neural Information Processing Systems, 5025-5036, 2019 | 23 | 2019 |
| Orthogonal over-parameterized training W Liu, R Lin, Z Liu, JM Rehg, L Paull, L Xiong, L Song, A Weller Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 22 | 2021 |
| Deep forward and inverse perceptual models for tracking and prediction A Lambert, A Shaban, A Raj, Z Liu, B Boots 2018 IEEE international conference on robotics and automation (ICRA), 675-682, 2018 | 22 | 2018 |
| A consciousness-inspired planning agent for model-based reinforcement learning M Zhao, Z Liu, S Luan, S Zhang, D Precup, Y Bengio Advances in neural information processing systems 34, 1569-1581, 2021 | 21 | 2021 |
| Regularizing neural networks via minimizing hyperspherical energy R Lin, W Liu, Z Liu, C Feng, Z Yu, JM Rehg, L Xiong, L Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 21 | 2020 |
| One-shot learning for semantic segmentation. arXiv 2017 A Shaban, S Bansal, Z Liu, I Essa, B Boots arXiv preprint arXiv:1709.03410, 0 | 13 | |
| MeshDiffusion: Score-based Generative 3D Mesh Modeling Z Liu, Y Feng, MJ Black, D Nowrouzezahrai, L Paull, W Liu International Conference on Learning Representations, 2023 | 11 | 2023 |
| Iterative teaching by label synthesis W Liu, Z Liu, H Wang, L Paull, B Schölkopf, A Weller Advances in Neural Information Processing Systems 34, 21681-21695, 2021 | 9 | 2021 |
| Structural causal 3d reconstruction W Liu, Z Liu, L Paull, A Weller, B Schölkopf European Conference on Computer Vision, 140-159, 2022 | 8 | 2022 |
Weiyang LiuUniversity of Cambridge & Max Planck Institute for Intelligent SystemsVerified email at cam.ac.uk
