| Cooperative secret communication with artificial noise in symmetric interference channel J Zhu, J Mo, M Tao IEEE Communications Letters 14 (10), 885-887, 2010 | 75 | 2010 |
| Gaussian multiple access via compute-and-forward J Zhu, M Gastpar IEEE Transactions on Information Theory 63 (5), 2678-2695, 2016 | 58 | 2016 |
| Asymmetric compute-and-forward with CSIT J Zhu, M Gastpar arXiv preprint arXiv:1401.3189, 2014 | 30 | 2014 |
| Information-theoretic analysis for transfer learning X Wu, JH Manton, U Aickelin, J Zhu 2020 IEEE International Symposium on Information Theory (ISIT), 2819-2824, 2020 | 28 | 2020 |
| A sequential approximation framework for coded distributed optimization J Zhu, Y Pu, V Gupta, C Tomlin, K Ramchandran 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 24 | 2017 |
| Compute–forward multiple access (CFMA): Practical implementations E Sula, J Zhu, A Pastore, SH Lim, M Gastpar IEEE Transactions on Communications 67 (2), 1133-1147, 2018 | 18 | 2018 |
| Customized local differential privacy for multi-agent distributed optimization R Dobbe, Y Pu, J Zhu, K Ramchandran, C Tomlin arXiv preprint arXiv:1806.06035, 2018 | 15 | 2018 |
| Analysis of nakamoto consensus, revisited J Niu, C Feng, H Dau, YC Huang, J Zhu arXiv preprint arXiv:1910.08510, 2019 | 12* | 2019 |
| Semi-supervised learning: the case when unlabeled data is equally useful J Zhu Conference on Uncertainty in Artificial Intelligence, 709-718, 2020 | 11 | 2020 |
| On minimizing symbol error rate over fading channels with low-resolution quantization NI Bernardo, J Zhu, J Evans IEEE Transactions on Communications 69 (11), 7205-7221, 2021 | 10 | 2021 |
| Compute-forward multiple access (CFMA) with nested LDPC codes E Sula, J Zhu, A Pastore, SH Lim, M Gastpar 2017 IEEE International Symposium on Information Theory (ISIT), 2935-2939, 2017 | 10 | 2017 |
| Design and analysis of hardware-limited non-uniform task-based quantizers NI Bernardo, J Zhu, YC Eldar, J Evans IEEE Transactions on Signal Processing, 2023 | 9 | 2023 |
| Online transfer learning: Negative transfer and effect of prior knowledge X Wu, JH Manton, U Aickelin, J Zhu 2021 IEEE International Symposium on Information Theory (ISIT), 1540-1545, 2021 | 9 | 2021 |
| Local differential privacy for multi-agent distributed optimal power flow R Dobbe, Y Pu, J Zhu, K Ramchandran, C Tomlin 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 265-269, 2020 | 8 | 2020 |
| Communication versus computation: Duality for multiple-access channels and source coding J Zhu, SH Lim, M Gastpar IEEE Transactions on Information Theory 65 (1), 292-301, 2018 | 8 | 2018 |
| An information-theoretic analysis for transfer learning: Error bounds and applications X Wu, JH Manton, U Aickelin, J Zhu arXiv preprint arXiv:2207.05377, 2022 | 6 | 2022 |
| Compute-and-forward using nested linear codes for the Gaussian MAC J Zhu, M Gastpar 2015 IEEE Information Theory Workshop (ITW), 1-5, 2015 | 6 | 2015 |
| Lattice codes for many-to-one interference channels with and without cognitive messages J Zhu, M Gastpar IEEE Transactions on Information Theory 61 (3), 1309-1324, 2015 | 6 | 2015 |
| Gaussian (dirty) multiple access channels: A compute-and-forward perspective J Zhu, M Gastpar 2014 IEEE International Symposium on Information Theory, 2949-2953, 2014 | 6 | 2014 |
| A bayesian approach to (online) transfer learning: Theory and algorithms X Wu, JH Manton, U Aickelin, J Zhu Artificial Intelligence, 2023 | 5 | 2023 |
Michael GastparProfessor, Ecole Polytechnique Fédérale (EPFL), SwitzerlandVerified email at epfl.ch
