Zifeng Wang

Orcid: 0000-0002-0068-9042

Affiliations:

Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA

According to our database¹, Zifeng Wang authored at least 24 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

ADAPT to Robustify Prompt Tuning Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding.

[BibT_eX]

[DOI]

Zilong Wang

Hao Zhang

Chun-Liang Li

Julian Martin Eisenschlos

CoRR, 2024

2023

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

QueryForm: A Simple Zero-shot Form Entity Query Framework.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2022

Radio Frequency Fingerprinting on the Edge.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2022

Deep Bayesian Unsupervised Lifelong Learning.

[BibT_eX]

[DOI]

Neural Networks, 2022

SAIF: Sparse Adversarial and Interpretable Attack Framework.

[BibT_eX]

[DOI]

CoRR, 2022

SparCL: Sparse Continual Learning on the Edge.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pruning Adversarially Robust Neural Networks without Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Prompt for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Learning on Visual and Location Data for V2I mmWave Beamforming.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

2020

Deep Learning for RF Fingerprinting: A Massive Experimental Study.

[BibT_eX]

[DOI]

IEEE Internet Things Mag., 2020

Instance-wise Feature Grouping.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Open-World Class Discovery with Kernel Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learn-Prune-Share for Lifelong Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Adaptive Nonparametric Variational Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2019

Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Military Communications Conference, 2019

Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

2018

Profiling users by online shopping behaviors.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2018

Collaborative Deep Reinforcement Learning for Multi-object Tracking.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Zifeng Wang

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