| Learning to prompt for continual learning Z Wang, Z Zhang, CY Lee, H Zhang, R Sun, X Ren, G Su, V Perot, J Dy, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 625 | 2022 |
| DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning Z Wang, Z Zhang, S Ebrahimi, R Sun, H Zhang, CY Lee, X Ren, G Su, ... European Conference on Computer Vision (ECCV) 2022, 2022 | 374 | 2022 |
| Deep learning for RF fingerprinting: A massive experimental study T Jian, BC Rendon, E Ojuba, N Soltani, Z Wang, K Sankhe, A Gritsenko, ... IEEE Internet of Things Magazine 3 (1), 50-57, 2020 | 212 | 2020 |
| Collaborative deep reinforcement learning for multi-object tracking L Ren, J Lu, Z Wang, Q Tian, J Zhou Proceedings of the European conference on computer vision (ECCV), 586-602, 2018 | 109 | 2018 |
| SparCL: Sparse Continual Learning on the Edge Z Wang, Z Zhan, Y Gong, G Yuan, W Niu, T Jian, B Ren, S Ioannidis, ... Neural Information Processing Systems (NeurIPS), 2022, 2022 | 55 | 2022 |
| Finding a ‘new’needle in the haystack: Unseen radio detection in large populations using deep learning A Gritsenko, Z Wang, T Jian, J Dy, K Chowdhury, S Ioannidis 2019 IEEE international symposium on dynamic spectrum access networks …, 2019 | 53 | 2019 |
| Radio frequency fingerprinting on the edge T Jian, Y Gong, Z Zhan, R Shi, N Soltani, Z Wang, J Dy, K Chowdhury, ... IEEE Transactions on Mobile Computing 21 (11), 4078-4093, 2021 | 49 | 2021 |
| Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network B Salehi, G Reus-Muns, D Roy, Z Wang, T Jian, J Dy, S Ioannidis, ... IEEE Transactions on Vehicular Technology 71 (7), 7639-7655, 2022 | 42 | 2022 |
| Chain-of-table: Evolving tables in the reasoning chain for table understanding Z Wang, H Zhang, CL Li, JM Eisenschlos, V Perot, Z Wang, L Miculicich, ... International Conference on Learning Representations (ICLR) 2024, 2024 | 34 | 2024 |
| Deep bayesian unsupervised lifelong learning T Zhao, Z Wang, A Masoomi, J Dy Neural Networks 149, 95-106, 2022 | 32* | 2022 |
| Learn-prune-share for lifelong learning Z Wang, T Jian, K Chowdhury, Y Wang, J Dy, S Ioannidis 2020 IEEE International Conference on Data Mining (ICDM), 641-650, 2020 | 32 | 2020 |
| Continual learning of large language models: A comprehensive survey H Shi, Z Xu, H Wang, W Qin, W Wang, Y Wang, H Wang arXiv preprint arXiv:2404.16789, 2024 | 25 | 2024 |
| Revisiting hilbert-schmidt information bottleneck for adversarial robustness Z Wang, T Jian, A Masoomi, S Ioannidis, J Dy Advances in Neural Information Processing Systems 34, 586-597, 2021 | 24 | 2021 |
| Open-world class discovery with kernel networks Z Wang, B Salehi, A Gritsenko, K Chowdhury, S Ioannidis, J Dy 2020 IEEE International Conference on Data Mining (ICDM), 631-640, 2020 | 23 | 2020 |
| Lmdx: Language model-based document information extraction and localization V Perot, K Kang, F Luisier, G Su, X Sun, RS Boppana, Z Wang, J Mu, ... Association for Computational Linguistics (ACL) 2024, 2023 | 19 | 2023 |
| Deep learning on visual and location data for V2I mmWave beamforming G Reus-Muns, B Salehi, D Roy, T Jian, Z Wang, J Dy, S Ioannidis, ... 2021 17th International Conference on Mobility, Sensing and Networking (MSN …, 2021 | 19 | 2021 |
| Instance-wise feature grouping A Masoomi, C Wu, T Zhao, Z Wang, P Castaldi, J Dy Advances in Neural Information Processing Systems 33, 13374-13386, 2020 | 18 | 2020 |
| Impairment shift keying: Covert signaling by deep learning of controlled radio imperfections K Sankhe, F Restuccia, S D'Oro, T Jian, Z Wang, A Al-Shawabka, J Dy, ... MILCOM 2019-2019 IEEE Military Communications Conference (MILCOM), 598-603, 2019 | 13 | 2019 |
| Improved prediction of smoking status via isoform-aware RNA-seq deep learning models Z Wang, A Masoomi, Z Xu, A Boueiz, S Lee, T Zhao, R Bowler, M Cho, ... PLOS Computational Biology 17 (10), e1009433, 2021 | 12 | 2021 |
| Pruning Adversarially Robust Neural Networks without Adversarial Examples T Jian, Z Wang, Y Wang, J Dy, S Ioannidis 2022 IEEE International Conference on Data Mining (ICDM), 2022 | 11 | 2022 |
Jennifer DyElectrical and Computer Engineering, Northeastern UniversityZweryfikowany adres z ece.neu.edu
