Fuhao Li

According to our database, Fuhao Li authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning.

Ziyang Gong, Fuhao Li, Yupeng Deng, Deblina Bhattacharjee, Xiangwei Zhu, Zhenming Ji

CoRR, 2024

CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning.

Ziyang Gong, Fuhao Li, Yupeng Deng, Deblina Bhattacharjee, Xianzheng Ma, Xiangwei Zhu, Zhenming Ji

Proceedings of the Computer Vision - ECCV 2024, 2024

Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency.

Fuhao Li, Ziyang Gong, Yupeng Deng, Xianzheng Ma, Renrui Zhang, Zhenming Ji, Xiangwei Zhu, Hong Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Seamless Wireless Communication Platform for Internet of Things Applications.

Venkataramani Kumar, Jiahui Yu, Fuhao Li, Jielun Zhang, Feng Ye, Sanjeevi Karri, Guru Subramanyam

IEEE Wirel. Commun., December, 2023

Sustaining the High Performance of AI-Based Network Traffic Classification Models.

Jielun Zhang, Fuhao Li, Feng Ye

IEEE/ACM Trans. Netw., April, 2023

Train One, Generalize to All: Generalizable Semantic Segmentation from Single-Scene to All Adverse Scenes.

Ziyang Gong, Fuhao Li, Yupeng Deng, Wenjun Shen, Xianzheng Ma, Zhenming Ji, Nan Xia

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Adaptive and Lightweight Network Traffic Classification for Edge Devices.

Fuhao Li, Feng Ye

IEEE Trans. Green Commun. Netw., 2022

Autonomous Wireless Technology Detection in Seamless IoT Applications.

Venkataramani Kumar, Fuhao Li, Feng Ye, Guru Subramanyam

IEEE Internet Things J., 2022

2021

Simplifying Data Traffic Classification with Byte Importance Distillation.

Fuhao Li, Feng Ye

Proceedings of the ICC 2021, 2021

2020

Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update.

Jielun Zhang, Fuhao Li, Feng Ye, Hongyu Wu

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

An Ensemble-based Network Intrusion Detection Scheme with Bayesian Deep Learning.

Jielun Zhang, Fuhao Li, Feng Ye

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

Autonomous Model Update Scheme for Deep Learning Based Network Traffic Classifiers.

Jielun Zhang, Fuhao Li, Hongyu Wu, Feng Ye

Proceedings of the 2019 IEEE Global Communications Conference, 2019