| 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 | 425 | 2019 |
| 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 | 109 | 2020 |
| 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 | 49 | 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 | 32 | 2015 |
| 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 | 27 | 2019 |
| 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 | 20 | 2021 |
| Deep fusion of heterogeneous sensor data Z Liu, W Zhang, TQS Quek, S Lin 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 19 | 2017 |
| 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 | 18 | 2021 |
| Variational adaptive-Newton method for explorative learning ME Khan, W Lin, V Tangkaratt, Z Liu, D Nielsen arXiv preprint arXiv:1711.05560, 2017 | 17 | 2017 |
| Toward clinically applicable 3-dimensional tooth segmentation via deep learning J Hao, W Liao, YL Zhang, J Peng, Z Zhao, Z Chen, BW Zhou, Y Feng, ... Journal of dental research 101 (3), 304-311, 2022 | 15 | 2022 |
| 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 | 14 | 2020 |
| Vprop: Variational inference using rmsprop ME Khan, Z Liu, V Tangkaratt, Y Gal arXiv preprint arXiv:1712.01038, 2017 | 13 | 2017 |
| Data fusion in wireless sensor networks: A statistical signal processing perspective D Ciuonzo, PS Rossi Control, Robotics and Sensors, 2019 | 11 | 2019 |
| 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 50 (D1), D1244-D1254, 2022 | 5 | 2022 |
| Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework Y Chen, Y Zhang, B Wang, Z Liu, H Li arXiv preprint arXiv:2210.16798, 2022 | 4 | 2022 |
| 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 | 4 | 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 | 4 | 2014 |
| Hybrid-Learning-Based Operational Visual Quality Inspection for Edge-Computing-Enabled IoT System Y Chu, D Feng, Z Liu, Z Zhao, Z Wang, XG Xia, TQS Quek IEEE Internet of Things Journal 9 (7), 4958-4972, 2021 | 3 | 2021 |
| 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 | 3 | 2018 |
| Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans X He, H Wang, H Hu, J Yang, Y Feng, G Wang, L Zuozhu International Conference on Medical Imaging with Deep Learning, 493-507, 2022 | 2 | 2022 |
Tony Q.S. QuekFull Professor and ISTD Pillar Head, SUTDVerified email at ieee.org
