Zifeng Wang
Zifeng Wang
Research Scientist, Google
Verified email at - Homepage
Cited by
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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
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
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
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
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
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
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
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
Deep bayesian unsupervised lifelong learning
T Zhao, Z Wang, A Masoomi, J Dy
Neural Networks 149, 95-106, 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
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
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
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
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
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
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
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
Profiling users by online shopping behaviors
H Yan, Z Wang, TH Lin, Y Li, D Jin
Multimedia Tools and Applications 77, 21935-21945, 2018
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, ...
arXiv preprint arXiv:2401.04398, 2024
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
Z Wang, Z Zhan, Y Gong, Y Shao, S Ioannidis, Y Wang, J Dy
International Conference on Machine Learning (ICML) 2023, 2023
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