Zhen Liu

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	All	Since 2019
Citations	2076	2020
h-index	19	19
i10-index	23	23

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201720182019202020212022202320247 41 156 212 298 341 473 540

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Weiyang LiuUniversity of Cambridge & Max Planck Institute for Intelligent SystemsVerified email at cam.ac.uk
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
Bo DaiGoogle Brain & Georgia TechVerified email at google.com
Adrian WellerDirector of Research, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Byron BootsAssociate Professor, University of WashingtonVerified email at cs.washington.edu
Amirreza ShabanApplied Research Scientists, CruiseVerified email at uw.edu
Liam PaullAssociate Professor - University of MontrealVerified email at iro.umontreal.ca
Yao FengMax Planck Institute for Intelligent Systems, and ETH ZurichVerified email at tuebingen.mpg.de
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Zeju QiuMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Hanjun DaiGoogle DeepMindVerified email at google.com
Dinghuai Zhang 张鼎怀Mila, University of MontrealVerified email at mila.quebec
Yuliang XiuMax Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
Tim Z. XiaoUniversity of Tübingen · International Max Planck Research School for Intelligent Systems (IMPRS-IS)Verified email at uni-tuebingen.de

Zhen Liu

Mila, University of Montreal & Max Planck Institute for Intelligent Systems

Verified email at umontreal.ca - Homepage

Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
One-shot learning for semantic segmentation A Shaban, S Bansal, Z Liu, I Essa, B Boots BMVC 2017 (arXiv preprint arXiv:1709.03410), 2017	771	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	305	2018
Learning towards minimum hyperspherical energy W Liu, R Lin, Z Liu*, L Liu, Z Yu, B Dai, L Song NeurIPS 2018, 2018	160	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	114	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	83	2022
Decoupled networks W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song CVPR 2018, 2018	75	2018
Towards black-box iterative machine teaching W Liu, B Dai, X Li, Z Liu, J Rehg, L Song ICML 2018, 2018	67	2018
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	61	2023
Exponential family estimation via adversarial dynamics embedding B Dai, Z Liu, H Dai*, N He, A Gretton, L Song, D Schuurmans NeurIPS 2019, 2019	54	2019
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	45	2021
Multi Robot Object-based SLAM S Choudhary, L Carlone, N Carlos, R John, Z Liu, HI Christensen, ... International Symposium on Experimental Robotics, 2016	42	2016
Learning with hyperspherical uniformity W Liu, R Lin, Z Liu*, L Xiong, B Schölkopf, A Weller AISTATS 2021, 2021	37	2021
Neural similarity learning W Liu, Z Liu, JM Rehg, L Song NeurIPS 2019, 2019	32	2019
Motion planning with graph-based trajectories and Gaussian process inference E Huang, M Mukadam, Z Liu, B Boots ICRA 2017, 2017	32	2017
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	31	2018
Orthogonal over-parameterized training W Liu, R Lin, Z Liu, JM Rehg, L Paull, L Xiong, L Song, A Weller CVPR 2021, 2021	30	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	28	2020
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization W Liu, Z Qiu, Y Feng, Y Xiu, Y Xue, L Yu, H Feng, Z Liu, J Heo, S Peng, ... ICLR 2024 (arXiv preprint arXiv:2311.06243), 2023	24	2023
Deep forward and inverse perceptual models for tracking and prediction A Lambert, A Shaban, A Raj, Z Liu, B Boots ICRA 2018, 2018	23	2018
Structural causal 3d reconstruction W Liu, Z Liu, L Paull, A Weller, B Schölkopf ECCV 2022 (arXiv preprint arXiv:2207.10156), 2022	18	2022

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