| A new coding paradigm for the primitive relay channel M Mondelli, SH Hassani, R Urbanke Algorithms 12 (10), 218, 2019 | 12 | 2019 |
| A theory of non-linear feature learning with one gradient step in two-layer neural networks B Moniri, D Lee, H Hassani, E Dobriban arXiv preprint arXiv:2310.07891, 2023 | 15 | 2023 |
| Achieving linear convergence in federated learning under objective and systems heterogeneity A Mitra, R Jaafar, GJ Pappas, H Hassani arXiv preprint arXiv:2102.07053, 2021 | | 2021 |
| Achieving Marton’s region for broadcast channels using polar codes M Mondelli, SH Hassani, I Sason, RL Urbanke IEEE Transactions on Information Theory 61 (2), 783-800, 2014 | 97 | 2014 |
| Adaptive node participation for straggler-resilient federated learning A Reisizadeh, I Tziotis, H Hassani, A Mokhtari, R Pedarsani ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Adversarial robustness with semi-infinite constrained learning A Robey, L Chamon, GJ Pappas, H Hassani, A Ribeiro Advances in Neural Information Processing Systems 34, 6198-6215, 2021 | 37 | 2021 |
| Adversarial Tradeoffs in Robust State Estimation TTCK Zhang, BD Lee, H Hassani, N Matni 2023 American Control Conference (ACC), 4083-4089, 2023 | 4 | 2023 |
| Adversarial training should be cast as a non-zero-sum game A Robey, F Latorre, GJ Pappas, H Hassani, V Cevher arXiv preprint arXiv:2306.11035, 2023 | 7 | 2023 |
| Age of information in random access channels X Chen, K Gatsis, H Hassani, SS Bidokhti IEEE Transactions on Information Theory 68 (10), 6548-6568, 2022 | 146 | 2022 |
| Alignment of polarized sets JM Renes, D Sutter, SH Hassani IEEE Journal on Selected Areas in Communications 34 (2), 224-238, 2015 | 13 | 2015 |
| Almost optimal scaling of Reed-Muller codes on BEC and BSC channels H Hassani, S Kudekar, O Ordentlich, Y Polyanskiy, R Urbanke 2018 IEEE International Symposium on Information Theory (ISIT), 311-315, 2018 | 17 | 2018 |
| Almost Optimal Scaling of Reed-Muller Codes on BEC and BSC Channels O Ordentlich, Y Polyanskiy IEEE, 2018 | | 2018 |
| An agnostic approach to federated learning with class imbalance Z Shen, J Cervino, H Hassani, A Ribeiro International Conference on Learning Representations, 2021 | 51 | 2021 |
| An exact quantized decentralized gradient descent algorithm A Reisizadeh, A Mokhtari, H Hassani, R Pedarsani IEEE Transactions on Signal Processing 67 (19), 4934-4947, 2019 | 160* | 2019 |
| Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding E Lei, H Hassani, SS Bidokhti arXiv preprint arXiv:2403.07320, 2024 | | 2024 |
| Approximate k-means++ in sublinear time O Bachem, M Lucic, SH Hassani, A Krause Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 174 | 2016 |
| AutoEKF: scalable system identification for COVID-19 forecasting from large-scale GPS data F Barreras, M Hayhoe, H Hassani, VM Preciado arXiv preprint arXiv:2106.14357, 2021 | 2 | 2021 |
| Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation Y He, A Robey, N Murata, Y Jiang, J Williams, GJ Pappas, H Hassani, ... arXiv preprint arXiv:2403.19103, 2024 | | 2024 |
| Binary Classification Under Attacks for General Noise Distribution P Delgosha, H Hassani, R Pedarsani arXiv preprint arXiv:2203.04855, 2022 | 1 | 2022 |
| Binary Classification Under ℓ0 Attacks for General Noise Distribution P Delgosha, H Hassani, R Pedarsani IEEE Transactions on Information Theory, 2023 | 1 | 2023 |
George PappasUPS Foundation Professor, Electrical and Systems Engineering, University of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
