Zhen Liu

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	All	Since 2020
Citations	2427	2210
h-index	20	20
i10-index	24	24

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Weiyang LiuMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Le SongGenBio AI, Mohamed bin Zayed University of Artificial IntelligenceVerified email at mbzuai.ac.ae
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
Yao FengMax Planck Institute for Intelligent Systems & ETH ZurichVerified email at tuebingen.mpg.de
Liam PaullAssociate Professor - University of MontrealVerified email at iro.umontreal.ca
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Zeju QiuPhD Student at Max Planck Institute for Intelligent Systems and IMPRS-ISVerified email at tuebingen.mpg.de
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Yuliang XiuMax Planck Institute for Intelligent SystemsVerified email at westlake.edu.cn
Dinghuai Zhang 张鼎怀Microsoft Research / MilaVerified email at mila.quebec
Hanjun DaiGoogle DeepMindVerified email at google.com
Tim Z. XiaoUniversity of Tübingen · International Max Planck Research School for Intelligent Systems (IMPRS-IS)Verified email at uni-tuebingen.de

Zhen Liu

Chinese University of Hong Kong (Shenzhen)

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	864	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	329	2018
Learning towards minimum hyperspherical energy W Liu, R Lin, Z Liu*, L Liu, Z Yu, B Dai, L Song NeurIPS 2018, 2018	172	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	166	2023
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	111	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	110	2022
Decoupled networks W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song CVPR 2018, 2018	77	2018
Towards black-box iterative machine teaching W Liu, B Dai, X Li, Z Liu, J Rehg, L Song ICML 2018, 2018	69	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	59	2019
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	51	2023
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	49	2021
Learning with hyperspherical uniformity W Liu, R Lin, Z Liu*, L Xiong, B Schölkopf, A Weller AISTATS 2021, 2021	44	2021
Multi Robot Object-based SLAM S Choudhary, L Carlone, N Carlos, R John, Z Liu, HI Christensen, ... International Symposium on Experimental Robotics, 2016	44	2016
Neural similarity learning W Liu, Z Liu, JM Rehg, L Song NeurIPS 2019, 2019	35	2019
Motion planning with graph-based trajectories and Gaussian process inference E Huang, M Mukadam, Z Liu, B Boots ICRA 2017, 2017	34	2017
Orthogonal over-parameterized training W Liu, R Lin, Z Liu, JM Rehg, L Paull, L Xiong, L Song, A Weller CVPR 2021, 2021	33	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	33	2020
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	32	2018
Deep forward and inverse perceptual models for tracking and prediction A Lambert, A Shaban, A Raj, Z Liu, B Boots ICRA 2018, 2018	24	2018
Structural causal 3d reconstruction W Liu, Z Liu, L Paull, A Weller, B Schölkopf ECCV 2022 (arXiv preprint arXiv:2207.10156), 2022	21	2022

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