Zhen Liu
Zhen Liu
Mila, University of Montreal & Max Planck Institute for Intelligent Systems
Verified email at - Homepage
Cited by
Cited by
One-shot learning for semantic segmentation
A Shaban, S Bansal, Z Liu, I Essa, B Boots
BMVC 2017 (arXiv preprint arXiv:1709.03410), 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
ICML 2018, 2018
Learning towards minimum hyperspherical energy
W Liu*, R Lin*, Z Liu*, L Liu, Z Yu, B Dai, L Song
NeurIPS 2018, 2018
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Z Liu, Y Feng, MJ Black, D Nowrouzezahrai, L Paull, W Liu
ICLR 2023 (arXiv preprint arXiv:2303.08133), 2023
Generative flow networks for discrete probabilistic modeling
D Zhang, N Malkin, Z Liu, A Volokhova, A Courville, Y Bengio
ICML 2022 (arXiv preprint arXiv:2202.01361), 2022
Decoupled networks
W Liu*, Z Liu*, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song
CVPR 2018, 2018
Towards black-box iterative machine teaching
W Liu, B Dai, X Li, Z Liu, J Rehg, L Song
ICML 2018, 2018
Exponential family estimation via adversarial dynamics embedding
B Dai*, Z Liu*, H Dai*, N He, A Gretton, L Song, D Schuurmans
NeurIPS 2019, 2019
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Z Qiu, W Liu, H Feng, Y Xue, Y Feng, Z Liu, D Zhang, A Weller, ...
NeurIPS 2023 (arXiv preprint arXiv:2306.07280), 2023
Multi Robot Object-based SLAM
S Choudhary, L Carlone, N Carlos, R John, Z Liu, HI Christensen, ...
International Symposium on Experimental Robotics, 2016
A consciousness-inspired planning agent for model-based reinforcement learning
M Zhao*, Z Liu*, S Luan*, S Zhang*, D Precup, Y Bengio
NeurIPS 2021, 2021
Learning with hyperspherical uniformity
W Liu*, R Lin*, Z Liu*, L Xiong, B Schölkopf, A Weller
AISTATS 2021, 2021
Neural similarity learning
W Liu*, Z Liu*, JM Rehg, L Song
NeurIPS 2019, 2019
Coupled variational bayes via optimization embedding
B Dai, H Dai, N He, W Liu, Z Liu, J Chen, L Xiao, L Song
NeurIPS 2018, 2018
Motion planning with graph-based trajectories and Gaussian process inference
E Huang, M Mukadam, Z Liu, B Boots
ICRA 2017, 2017
Orthogonal over-parameterized training
W Liu, R Lin, Z Liu, JM Rehg, L Paull, L Xiong, L Song, A Weller
CVPR 2021, 2021
Regularizing neural networks via minimizing hyperspherical energy
R Lin, W Liu, Z Liu, C Feng, Z Yu, JM Rehg, L Xiong, L Song
CVPR 2020, 2020
Deep forward and inverse perceptual models for tracking and prediction
A Lambert, A Shaban, A Raj, Z Liu, B Boots
ICRA 2018, 2018
Structural causal 3d reconstruction
W Liu*, Z Liu*, L Paull, A Weller, B Schölkopf
ECCV 2022 (arXiv preprint arXiv:2207.10156), 2022
Iterative teaching by label synthesis
W Liu*, Z Liu*, H Wang*, L Paull, B Schölkopf, A Weller
NeurIPS 2021, 2021
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