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Furui Liu
Furui Liu
Zhejiang Lab and UCAS and Zhejiang University
Verified email at zhejianglab.com
Title
Cited by
Cited by
Year
U-air: When urban air quality inference meets big data
Y Zheng, F Liu, HP Hsieh
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
10702013
Causalvae: Disentangled representation learning via neural structural causal models
M Yang, F Liu, Z Chen, X Shen, J Hao, J Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1982021
Weakly supervised disentangled generative causal representation learning
X Shen, F Liu, H Dong, Q Lian, Z Chen, T Zhang
The Journal of Machine Learning Research 23 (1), 10994-11048, 2022
882022
Learning to select cuts for efficient mixed-integer programming
Z Huang, K Wang, F Liu, HL Zhen, W Zhang, M Yuan, J Hao, Y Yu, ...
Pattern Recognition 123, 108353, 2022
502022
Shapley counterfactual credits for multi-agent reinforcement learning
J Li, K Kuang, B Wang, F Liu, L Chen, F Wu, J Xiao
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
422021
Causal inference on discrete data via estimating distance correlations
F Liu, L Chan
Neural computation 28 (5), 801-814, 2016
392016
Causalvae: Structured causal disentanglement in variational autoencoder
M Yang, F Liu, Z Chen, X Shen, J Hao, J Wang
arXiv preprint arXiv:2004.08697, 2020
272020
Daring: Differentiable causal discovery with residual independence
Y He, P Cui, Z Shen, R Xu, F Liu, Y Jiang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
252021
Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms
Y Wang, F Liu, Z Chen, YC Wu, J Hao, G Chen, PA Heng
IEEE Transactions on Image Processing 32, 235-250, 2022
142022
Causal inference on multidimensional data using free probability theory
F Liu, LW Chan
IEEE transactions on neural networks and learning systems 29 (7), 3188-3198, 2017
142017
Deconfounded value decomposition for multi-agent reinforcement learning
J Li, K Kuang, B Wang, F Liu, L Chen, C Fan, F Wu, J Xiao
International Conference on Machine Learning, 12843-12856, 2022
132022
Causal Discovery on Discrete Data with Extensions to Mixture Model
F Liu, L Chan
ACM Transactions on Intelligent Systems and Technology (TIST) 7 (2), 2016
132016
ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling
O Zhang, J Zhang, J Jin, X Zhang, RL Hu, C Shen, H Cao, H Du, Y Kang, ...
Nature Machine Intelligence 5 (9), 1020-1030, 2023
92023
Traj-MAE: Masked Autoencoders for Trajectory Prediction
H Chen, J Wang, K Shao, F Liu, J Hao, C Guan, G Chen, PA Heng
arXiv preprint arXiv:2303.06697, 2023
92023
Confounder detection in high-dimensional linear models using first moments of spectral measures
F Liu, L Chan
Neural Computation 30 (8), 2284-2318, 2018
82018
Efficient and accurate large library ligand docking with KarmaDock
X Zhang, O Zhang, C Shen, W Qu, S Chen, H Cao, Y Kang, Z Wang, ...
Nature Computational Science 3 (9), 789-804, 2023
62023
Debiased recommendation with user feature balancing
M Yang, G Cai, F Liu, J Jin, Z Dong, X He, J Hao, W Shao, J Wang, ...
ACM Transactions on Information Systems 41 (4), 1-25, 2023
52023
Uncertainty estimation by fisher information-based evidential deep learning
D Deng, G Chen, Y Yu, F Liu, PA Heng
arXiv preprint arXiv:2303.02045, 2023
52023
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
Q Tian, K Kuang, K Jiang, F Liu, Z Wang, F Wu
Advances in Neural Information Processing Systems 35, 32789-32800, 2022
52022
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
S Luo, Y Li, J Li, K Kuang, F Liu, Y Shao, C Wu
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
52022
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