Estimating mutual information for discrete-continuous mixtures W Gao, S Kannan, S Oh, P Viswanath Advances in neural information processing systems 30, 2017 | 197 | 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 | 166 | 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 | 137 | 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 | 56 | 2018 |
Breaking the bandwidth barrier: Geometrical adaptive entropy estimation W Gao, S Oh, P Viswanath Advances in Neural Information Processing Systems 29, 2016 | 41 | 2016 |
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 | 36* | 2021 |
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 | 33 | 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 | 33 | 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 | 32 | 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 | 29 | 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 | 17 | 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 | 16 | 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 |
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 |
Discovering potential correlations via hypercontractivity H Kim, W Gao, S Kannan, S Oh, P Viswanath Advances in Neural Information Processing Systems 30, 2017 | 12 | 2017 |
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 |
PathFlow: A normalizing flow generator that finds transition paths T Liu, W Gao, Z Wang, C Wang Uncertainty in Artificial Intelligence, 1232-1242, 2022 | 8 | 2022 |
Learning to simulate unseen physical systems with graph neural networks C Yang, W Gao, D Wu, C Wang arXiv preprint arXiv:2201.11976, 2022 | 8 | 2022 |