| Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs S Verma, ZL Zhang Advances in Neural Information Processing Systems (NIPS), 87-97, 2017 | 152 | 2017 |
| Deepcache: A deep learning based framework for content caching A Narayanan, S Verma, E Ramadan, P Babaie, ZL Zhang Proceedings of 2018 Workshop on Network Meets AI & ML (Best Paper Award), 48-53, 2018 | 151 | 2018 |
| Lumos5G: Mapping and predicting commercial mmWave 5G throughput A Narayanan, E Ramadan, R Mehta, X Hu, Q Liu, RAK Fezeu, ... Proceedings of the ACM internet measurement conference, 176-193, 2020 | 149 | 2020 |
| Stability and Generalization of Graph Convolutional Neural Networks S Verma, ZL Zhang 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), 2019 | 149 | 2019 |
| Graph Capsule Convolutional Neural Networks S Verma, ZL Zhang Joint ICML and IJCAI Workshop 2018 on Computational Biology, 2018 | 141 | 2018 |
| Physics-guided deep neural networks for power flow analysis X Hu, H Hu, S Verma, ZL Zhang IEEE Transactions on Power Systems 36 (3), 2082-2092, 2020 | 125 | 2020 |
| Spatio-temporal anomaly detection in computer networks using graph convolutional recurrent neural networks (GCRNNs) S Verma, M Shivanna, GR Dash, A Nucci US Patent 10,771,488, 2020 | 57 | 2020 |
| I Don’t Use Apple Pay because it’s less secure...: perception of security and usability in mobile tap-and-pay JH Huh, S Verma, SSV Rayala, RB Bobba, K Beznosov, H Kim Workshop on Usable Security, San Diego, CA, 2017 | 33 | 2017 |
| Making content caching policies' smart'using the deepcache framework A Narayanan, S Verma, E Ramadan, P Babaie, ZL Zhang ACM SIGCOMM Computer Communication Review 48 (5), 64-69, 2019 | 24 | 2019 |
| Coupled bayesian sets algorithm for semi-supervised learning and information extraction S Verma, ER Hruschka Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 22 | 2012 |
| TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook N Noorshams, S Verma, A Hofleitner 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020), 2020 | 20 | 2020 |
| Stopping amplified DNS DDoS attacks through distributed query rate sharing S Verma, A Hamieh, JH Huh, H Holm, SR Rajagopalan, M Korczynski, ... 2016 11th International Conference on Availability, Reliability and Security …, 2016 | 18 | 2016 |
| Learning universal graph neural network embeddings with aid of transfer learning S Verma, ZL Zhang arXiv preprint arXiv:1909.10086, 2019 | 14 | 2019 |
| Multi-Low-Rank Approximation For Traffic Matrices S Verma, A Narayanan, ZL Zhang 29th International Teletraffic Congress (ITC), 2017 | 11 | 2017 |
| Deep universal graph embedding neural network S Verma, ZL Zhang arXiv preprint arXiv:1909.10086 495, 2019 | 7 | 2019 |
| Swathi Sri V Rayala, Rakesh B Bobba, Konstantin Beznosov, and Hyoungshick Kim. I Don’t Use Apple Pay because it’s less secure...: perception of security and usability in mobile … JH Huh, S Verma Proceedings of the Workshop on Usable Security 22, 28, 2017 | 7 | 2017 |
| Algorithm selection for deep active learning with imbalanced datasets J Zhang, S Shao, S Verma, R Nowak Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Mining Sub-Interval Relationships In Time Series Data S Agrawal, S Verma, G Atluri, A Karpatne, S Liess, A Macdonald III, ... https://arxiv.org/abs/1802.06095, 2018 | 4 | 2018 |
| Mining Spatial-Temporal geoMobile Data via Feature Distributional Similarity Graph A Narayanan, S Verma, ZL Zhang Proceedings of the First Workshop on Mobile Data, 13-18, 2016 | 4 | 2016 |
| Most calls are local (but some are regional): Dissecting cellular communication patterns A Narayanan, S Verma, ZL Zhang 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 3 | 2016 |
Zhi-Li ZhangDistinguished McKnight University Professor and Qwest Chair Professor在 cs.umn.edu 的电子邮件经过验证
