Yuzhen Ding

According to our database, Yuzhen Ding authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Accurate Patient Alignment without Unnecessary Imaging Dose via Synthesizing Patient-specific 3D CT Images from 2D kV Images.

Yuzhen Ding, Jason M. Holmes, Hongying Feng, Baoxin Li, Lisa A. McGee, Jean-Claude M. Rwigema, Sujay A. Vora, Daniel J. Ma, Robert L. Foote, Samir H. Patel, Wei Liu

CoRR, 2024

2023

Benchmarking a foundation LLM on its ability to re-label structure names in accordance with the AAPM TG-263 report.

Jason Holmes, Lian Zhang, Yuzhen Ding, Hongying Feng, Zhengliang Liu, Tianming Liu, William W. Wong, Sujay A. Vora, Jonathan B. Ashman, Wei Liu

CoRR, 2023

Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung Cancer.

Yuzhen Ding, Hongying Feng, Yunze Yang, Jason Holmes, Zhengliang Liu, David Liu, William W. Wong, Nathan Y. Yu, Terence T. Sio, Steven E. Schild, Baoxin Li, Wei Liu

CoRR, 2023

Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics.

Jason Holmes, Zhengliang Liu, Lian Zhang, Yuzhen Ding, Terence T. Sio, Lisa A. McGee, Jonathan B. Ashman, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu

CoRR, 2023

2021

Learning-Based Low-Latency VIoT Video Streaming Against Jamming and Interference.

Yilin Xiao, Liang Xiao, Zefang Lv, Guohang Niu, Yuzhen Ding, Wenyuan Xu

IEEE Wirel. Commun., 2021

UAV Anti-Jamming Video Transmissions With QoE Guarantee: A Reinforcement Learning-Based Approach.

Liang Xiao, Yuzhen Ding, Jinhao Huang, Sicong Liu, Yuliang Tang, Huaiyu Dai

IEEE Trans. Commun., 2021

AdvFoolGen: Creating Persistent Troubles for Deep Classifiers.

Yuzhen Ding, Nupur Thakur, Baoxin Li

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Does a GAN leave distinct model-specific fingerprints?

Yuzhen Ding, Nupur Thakur, Baoxin Li

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

A Reinforcement Learning and Blockchain-Based Trust Mechanism for Edge Networks.

Liang Xiao, Yuzhen Ding, Donghua Jiang, Jinhao Huang, Dongming Wang, Jie Li, H. Vincent Poor

IEEE Trans. Commun., 2020

Reinforcement learning based energy-efficient internet-of-things video transmission.

Yilin Xiao, Guohang Niu, Liang Xiao, Yuzhen Ding, Sicong Liu, Yexian Fan

Intell. Converged Networks, 2020

Evaluating a Simple Retraining Strategy as a Defense Against Adversarial Attacks.

Nupur Thakur, Yuzhen Ding, Baoxin Li

CoRR, 2020

VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection.

Yuzhen Ding, Baoxin Li

CoRR, 2020

Reinforcement Learning Based Energy Efficient Underwater Localization.

Xudong You, Zefang Lv, Yuzhen Ding, Wei Su, Liang Xiao

Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020

2019

QoE-Aware Power Control for UAV-Aided Media Transmission with Reinforcement Learning.

Yuzhen Ding, Donghua Jiang, Jinhao Huang, Liang Xiao, Sicong Liu, Yuliang Tang, Huaiyu Dai

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Learning Based Security for VANET with Blockchain.

Canhuang Dai, Xingyu Xiao, Yuzhen Ding, Liang Xiao, Yuliang Tang, Sheng Zhou

Proceedings of the IEEE International Conference on Communication Systems, 2018