Tong Jian

According to our database, Tong Jian authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multi-Modality Sensing and Data Fusion for Multi-Vehicle Detection.

Debashri Roy, Yuanyuan Li, Tong Jian, Peng Tian, Kaushik Roy Chowdhury, Stratis Ioannidis

IEEE Trans. Multim., 2023

Communication-Aware DNN Pruning.

Tong Jian, Debashri Roy, Batool Salehi, Nasim Soltani, Kaushik R. Chowdhury, Stratis Ioannidis

Proceedings of the IEEE INFOCOM 2023, 2023

2022

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

Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury

IEEE Trans. Veh. Technol., 2022

Radio Frequency Fingerprinting on the Edge.

Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Yanzhi Wang, Stratis Ioannidis

IEEE Trans. Mob. Comput., 2022

Multi-task GNN for Substitute Identification.

Tong Jian, Fan Yang, Zhen Zuo, Wenbo Wang, Michinari Momma, Tong Zhao, Chaosheng Dong, Yan Gao, Yi Sun

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

SparCL: Sparse Continual Learning on the Edge.

Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy

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.

Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness.

Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy

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.

Guillem Reus Muns, Batool Salehi, Debashri Roy, Tong Jian, Zifeng Wang, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury

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

2020

Deep Learning for RF Fingerprinting: A Massive Experimental Study.

Tong Jian, Bruno Costa Rendon, Emmanuel Ojuba, Nasim Soltani, Zifeng Wang, Kunal Sankhe, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis

IEEE Internet Things Mag., 2020

Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting.

Amani Al-Shawabka, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Bruno Costa Rendon, Nasim Soltani, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Learn-Prune-Share for Lifelong Learning.

Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis

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

2019

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

Kunal Sankhe, Kaushik R. Chowdhury, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Zifeng Wang, Amani Al-Shawabka, Jennifer G. Dy, Tommaso Melodia, Stratis Ioannidis

Proceedings of the 2019 IEEE Military Communications Conference, 2019

MAC ID Spoofing-Resistant Radio Fingerprinting.

Tong Jian, Bruno Costa Rendon, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

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

Andrey Gritsenko, Zifeng Wang, Tong Jian, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis

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