| Massive MIMO channel estimation using signed measurements with antenna-varying thresholds F Liu, H Zhu, J Li, P Wang, PV Orlik 2018 IEEE Statistical Signal Processing Workshop (SSP), 188-192, 2018 | 26 | 2018 |
| Angular-domain channel estimation for one-bit massive MIMO systems: Performance bounds and algorithms F Liu, H Zhu, C Li, J Li, P Wang, PV Orlik IEEE Transactions on Vehicular Technology 69 (3), 2928-2942, 2020 | 19 | 2020 |
| Bridging differential privacy and byzantine-robustness via model aggregation H Zhu, Q Ling IJCAI 2022, 2022 | 16 | 2022 |
| Efficient majorization-minimization-based channel estimation for one-bit massive MIMO systems F Liu, X Shang, H Zhu IEEE Transactions on Wireless Communications 20 (6), 3444-3457, 2021 | 16 | 2021 |
| Broadcast: Reducing both stochastic and compression noise to robustify communication-efficient federated learning H Zhu, Q Ling arXiv preprint arXiv:2104.06685, 2021 | 15 | 2021 |
| Range-Doppler imaging via one-bit PMCW radar X Shang, H Zhu, J Li 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2020 | 7 | 2020 |
| Target parameter estimation via one-bit PMCW radar H Zhu, X Shang, J Li ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
| Computationally efficient sinusoidal parameter estimation from signed measurements: ADMM approaches H Zhu, F Liu, J Li IEEE Signal Processing Letters 26 (12), 1798-1802, 2019 | 7 | 2019 |
| Byzantine-robust and communication-efficient distributed non-convex learning over non-IID data X He, H Zhu, Q Ling ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 6 | 2022 |
| Angle and waveform estimation from coarsely quantized array data H Zhu, F Liu, J Li 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-5, 2019 | 5 | 2019 |
| Byzantine-robust distributed learning with compression H Zhu, Q Ling IEEE Transactions on Signal and Information Processing over Networks, 2023 | 4 | 2023 |
| On the tradeoff between privacy preservation and Byzantine-robustness in decentralized learning H Ye, H Zhu, Q Ling ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 3 | 2024 |
| Byzantine-robust aggregation with gradient difference compression and stochastic variance reduction for federated learning H Zhu, Q Ling ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| Multiple object localization and vital sign monitoring using a MIMO IR-UWB radar system J Liu, X Shang, H Zhu, J Li 2019 IEEE International Conference on Signal, Information and Data …, 2019 | 1 | 2019 |
| C-RSA: Byzantine-robust and communication-efficient distributed learning in the non-convex and non-IID regime X He, H Zhu, Q Ling Signal Processing 213, 109222, 2023 | | 2023 |
| Optimal Compression of Unit Norm Vectors in the High Distortion Regime H Zhu, A Ghosh, A Mazumdar 2023 IEEE International Symposium on Information Theory (ISIT), 719-724, 2023 | | 2023 |
| Harmonic Retrieval via Low Resolution Sampling H Zhu, F Liu, J Li 2019 IEEE International Conference on Signal, Information and Data …, 2019 | | 2019 |
