| 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 | 666 | 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 | 208 | 2020 |
| 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 | 75 | 2021 |
| Empirical study of zero-shot ner with chatgpt T Xie, Q Li, J Zhang, Y Zhang, Z Liu, H Wang Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 54 | 2023 |
| 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 | 54 | 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 | 52 | 2022 |
| 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 | 45 | 2019 |
| 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 | 41 | 2015 |
| Fast Model Debias with Machine Unlearning R Chen, J Yang, H Xiong, J Bai, T Hu, J Hao, Y Feng, JT Zhou, J Wu, Z Liu Thirty-seventh Conference on Neural Information Processing Systems, 2023, 2023 | 40 | 2023 |
| 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 | 40 | 2021 |
| A chatgpt aided explainable framework for zero-shot medical image diagnosis J Liu, T Hu, Y Zhang, X Gai, Y Feng, Z Liu arXiv preprint arXiv:2307.01981, 2023 | 35 | 2023 |
| Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction J Liu, J Hao, H Lin, W Pan, J Yang, Y Feng, G Wang, J Li, Z Jin, Z Zhao, ... Patterns 4 (9), 2023 | 30 | 2023 |
| Hierarchical self-supervised learning for 3D tooth segmentation in intra-oral mesh scans Z Liu, X He, H Wang, H Xiong, Y Zhang, G Wang, J Hao, Y Feng, F Zhu, ... IEEE Transactions on Medical Imaging 42 (2), 467-480, 2022 | 28 | 2022 |
| Deep fusion of heterogeneous sensor data Z Liu, W Zhang, TQS Quek, S Lin 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 28 | 2017 |
| Uniedit: A unified tuning-free framework for video motion and appearance editing J Bai, T He, Y Wang, J Guo, H Hu, Z Liu, J Bian arXiv preprint arXiv:2402.13185, 2024 | 25 | 2024 |
| Self-improving for zero-shot named entity recognition with large language models T Xie, Q Li, Y Zhang, Z Liu, H Wang NAACL, 2023 | 24 | 2023 |
| On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning J Bai, Z Liu, H Wang, J Hao, Y Feng, H Chu, H Hu The Eleventh International Conference on Learning Representations, 2022., 2023 | 23 | 2023 |
| Parameter-efficient transfer learning for medical visual question answering J Liu, T Hu, Y Zhang, Y Feng, J Hao, J Lv, Z Liu IEEE Transactions on Emerging Topics in Computational Intelligence, 2023 | 22 | 2023 |
| 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 | 22 | 2022 |
| Towards calibrated hyper-sphere representation via distribution overlap coefficient for long-tailed learning H Wang, S Fu, X He, H Fang, Z Liu, H Hu European Conference on Computer Vision, 179-196, 2022 | 20 | 2022 |
Yan ZhangTencent | NUS | SUTDEmail verificata su nus.edu.sg
