| Estimating mutual information for discrete-continuous mixtures W Gao, S Kannan, S Oh, P Viswanath Advances in neural information processing systems 30, 2017 | 209 | 2017 |
| Demystifying fixed k-nearest neighbor information estimators W Gao, S Oh, P Viswanath Information Theory (ISIT), 2017 IEEE International Symposium on, 1267-1271, 2017 | 176 | 2017 |
| Label leakage and protection in two-party split learning O Li, J Sun, X Yang, W Gao, H Zhang, J Xie, V Smith, C Wang arXiv preprint arXiv:2102.08504, 2021 | 158 | 2021 |
| The nearest neighbor information estimator is adaptively near minimax rate-optimal J Jiao, W Gao, Y Han Advances in neural information processing systems 31, 2018 | 57 | 2018 |
| Learning an end-to-end structure for retrieval in large-scale recommendations W Gao, X Fan, C Wang, J Sun, K Jia, W Xiao, R Ding, X Bin, H Yang, X Liu Proceedings of the 30th ACM International Conference on Information …, 2021 | 42* | 2021 |
| Breaking the bandwidth barrier: Geometrical adaptive entropy estimation W Gao, S Oh, P Viswanath Advances in Neural Information Processing Systems 29, 2016 | 42 | 2016 |
| Vertical federated learning without revealing intersection membership J Sun, X Yang, Y Yao, A Zhang, W Gao, J Xie, C Wang arXiv preprint arXiv:2106.05508, 2021 | 39 | 2021 |
| Rate distortion for model compression: From theory to practice W Gao, YH Liu, C Wang, S Oh International Conference on Machine Learning, 2102-2111, 2019 | 36 | 2019 |
| Learning one-hidden-layer neural networks under general input distributions W Gao, AV Makkuva, S Oh, P Viswanath The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 35 | 2019 |
| Defending against reconstruction attack in vertical federated learning J Sun, Y Yao, W Gao, J Xie, C Wang arXiv preprint arXiv:2107.09898, 2021 | 31 | 2021 |
| Clarifying the high on/off ratio mechanism of nanowire UV photodetector by characterizing surface barrier height G Li, L Meng, X Zhu, W Gao, Y Qin, L Chen Nanoscale 10 (5), 2242-2248, 2018 | 23 | 2018 |
| Information-theoretic understanding of population risk improvement with model compression Y Bu, W Gao, S Zou, V Veeravalli Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3300-3307, 2020 | 19 | 2020 |
| Density functional estimators with k-nearest neighbor bandwidths W Gao, S Oh, P Viswanath 2017 IEEE International Symposium on Information Theory (ISIT), 1351-1355, 2017 | 18 | 2017 |
| A polymer based self-powered ethanol gas sensor to eliminate the interference of ultraviolet light M Hao, R Zhang, X Jia, X Gao, W Gao, L Cheng, Y Qin Sensors and Actuators A: Physical 332, 113173, 2021 | 15 | 2021 |
| Population risk improvement with model compression: An information-theoretic approach Y Bu, W Gao, S Zou, VV Veeravalli Entropy 23 (10), 1255, 2021 | 15 | 2021 |
| Discovering potential correlations via hypercontractivity H Kim, W Gao, S Kannan, S Oh, P Viswanath Advances in Neural Information Processing Systems 30, 2017 | 13 | 2017 |
| Multichannel driving triboelectric nanogenerator for enhancing the output charge density R Zhang, M Hao, S Bai, P Song, X Jia, W Gao, Q Xu, J Wen, L Cheng, ... Nano Energy 98, 107272, 2022 | 12 | 2022 |
| Causal strength via shannon capacity: Axioms, estimators and applications W Gao, S Kannan, S Oh, P Viswanath Proceedings of the 33rd International Conference on Machine Learning, 2016 | 12* | 2016 |
| One backward from ten forward, subsampling for large-scale deep learning C Dong, X Jin, W Gao, Y Wang, H Zhang, X Wu, J Yang, X Liu arXiv preprint arXiv:2104.13114, 2021 | 11 | 2021 |
| Learning to simulate unseen physical systems with graph neural networks C Yang, W Gao, D Wu, C Wang arXiv preprint arXiv:2201.11976, 2022 | 10 | 2022 |
Chong WangApple在 cs.princeton.edu 的电子邮件经过验证