Zuozhu Liu
Zuozhu Liu
Assistant Professor, Zhejiang-UIUC Institute
Verified email at intl.zju.edu.cn - Homepage
Cited by
Cited by
Scheduling policies for federated learning in wireless networks
HH Yang, Z Liu, TQS Quek, HV Poor
IEEE Transactions on Communications 68 (1), 317-333, 2019
Heterogeneous sensor data fusion by deep multimodal encoding
Z Liu, W Zhang, S Lin, TQS Quek
IEEE Journal of Selected Topics in Signal Processing 11 (3), 479-491, 2017
Large‐Scale Far‐Infrared Invisibility Cloak Hiding Object from Thermal Detection
L Shen, B Zheng, Z Liu, Z Wang, S Lin, S Dehdashti, E Li, H Chen
Advanced Optical Materials 3 (12), 1738-1742, 2015
An unsupervised sentence embedding method by mutual information maximization
Y Zhang, R He, Z Liu, KH Lim, L Bing
arXiv preprint arXiv:2009.12061, 2020
Deep fusion of heterogeneous sensor data
Z Liu, W Zhang, TQS Quek, S Lin
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Attention-based graph convolutional network for recommendation system
C Feng, Z Liu, S Lin, TQS Quek
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Vprop: Variational inference using rmsprop
ME Khan, Z Liu, V Tangkaratt, Y Gal
arXiv preprint arXiv:1712.01038, 2017
Variational adaptive-Newton method for explorative learning
ME Khan, W Lin, V Tangkaratt, Z Liu, D Nielsen
arXiv preprint arXiv:1711.05560, 2017
Data fusion in wireless sensor networks: a statistical signal processing perspective
D Ciuonzo, PS Rossi
Control, Robotics and Sensors, 2019
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
Y Zhang, Z Guo, Z Teng, W Lu, SB Cohen, Z Liu, L Bing
arXiv preprint arXiv:2010.04383, 2020
A simple unidirectional optical invisibility cloak made of water
B Zheng, L Shen, Z Liu, H Wang, XM Zhang, H Chen
Progress In Electromagnetics Research 146, 1-5, 2014
Variational probability flow for biologically plausible training of deep neural networks
Z Liu, T Quek, S Lin
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
An Energy-efficient Multi-core Restricted Boltzmann Machine Processor with On-chip Bio-plausible Learning and Reconfigurable Sparsity
J Wu, X Huang, L Yang, L Wang, J Wang, Z Liu, KS Chong, S Lin, C Wang
2020 IEEE Asian Solid-State Circuits Conference (A-SSCC), 1-4, 2020
Biologically Plausible Sequence Learning with Spiking Neural Networks
Z Liu, T Chotibut, C Hillar, S Lin
Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1316-1323, 2020
Concept hierarchies and human navigation
S Aguinaga, A Nambiar, Z Liu, T Weninger
2015 IEEE International Conference on Big Data (Big Data), 38-45, 2015
Bootstrapped unsupervised sentence representation learning
Y Zhang, R He, Z Liu, L Bing, H Li
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
Vprop: Variational Inference using RMSprop
M Emtiyaz Khan, Z Liu, V Tangkaratt, Y Gal
arXiv e-prints, arXiv: 1712.01038, 2017
huARdb: human Antigen Receptor database for interactive clonotype-transcriptome analysis at the single-cell level
L Wu, Z Xue, S Jin, J Zhang, Y Guo, Y Bai, X Jin, C Wang, L Wang, Z Liu, ...
Nucleic Acids Research, 2021
Track Without Appearance: Learn Box and Tracklet Embedding With Local and Global Motion Patterns for Vehicle Tracking
G Wang, R Gu, Z Liu, W Hu, M Song, JN Hwang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Clinically Applicable System For 3D Teeth Segmentation in Intraoral Scans using Deep Learning
J Hao, W Liao, Y Zhang, P Li, J Yi, J Peng, Z Zhao, Z Chen, W Shi, T Chen, ...
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