Learning Based Security for VANET with Blockchain. - Canhuang Dai; Xingyu Xiao; Yuzhen Ding; Liang Xiao 003; Yuliang Tang; Sheng Zhou 001 (ICCS, 2018)

QoE-Aware Power Control for UAV-Aided Media Transmission with Reinforcement Learning. - Yuzhen Ding; Donghua Jiang 002; Jinhao Huang; Liang Xiao 003; Sicong Liu 002; Yuliang Tang; Huaiyu Dai (GLOBECOM, 2019)

Reinforcement Learning Based Energy Efficient Underwater Localization. - Xudong You; Zefang Lv; Yuzhen Ding; Wei Su 002; Liang Xiao 003 (WCSP, 2020)

VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection. - Yuzhen Ding; Baoxin Li (CoRR, 2020)

Evaluating a Simple Retraining Strategy as a Defense Against Adversarial Attacks. - Nupur Thakur; Yuzhen Ding; Baoxin Li (CoRR, 2020)

Reinforcement learning based energy-efficient internet-of-things video transmission. - Yilin Xiao 001; Guohang Niu; Liang Xiao 003; Yuzhen Ding; Sicong Liu 002; Yexian Fan (Intell. Converged Networks, 2020)

A Reinforcement Learning and Blockchain-Based Trust Mechanism for Edge Networks. - Liang Xiao 003; Yuzhen Ding; Donghua Jiang 002; Jinhao Huang; Dongming Wang 002; Jie Li 002; H. Vincent Poor (IEEE Trans. Commun., 2020)

Does a GAN leave distinct model-specific fingerprints? - Yuzhen Ding; Nupur Thakur; Baoxin Li (BMVC, 2021)

AdvFoolGen: Creating Persistent Troubles for Deep Classifiers. - Yuzhen Ding; Nupur Thakur; Baoxin Li (ICCVW, 2021)

UAV Anti-Jamming Video Transmissions With QoE Guarantee: A Reinforcement Learning-Based Approach. - Liang Xiao 003; Yuzhen Ding; Jinhao Huang; Sicong Liu 002; Yuliang Tang; Huaiyu Dai (IEEE Trans. Commun., 2021)

Learning-Based Low-Latency VIoT Video Streaming Against Jamming and Interference. - Yilin Xiao 001; Liang Xiao 003; Zefang Lv; Guohang Niu; Yuzhen Ding; Wenyuan Xu 001 (IEEE Wirel. Commun., 2021)

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 001; Tianming Liu 001; Jiajian Shen; Wei Liu 146 (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)

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 001; William W. Wong; Sujay A. Vora; Jonathan B. Ashman; Wei Liu 146 (CoRR, 2023)

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 146 (CoRR, 2024)

Diffusion Transformer-based Universal Dose Denoising for Pencil Beam Scanning Proton Therapy. - Yuzhen Ding; Jason Holmes; Hongying Feng; Martin Bues; Lisa A. McGee; Jean-Claude M. Rwigema; Nathan Y. Yu; Terence S. Sio; Sameer R. Keole; William W. Wong; Steven E. Schild; Jonathan B. Ashman; et al. (CoRR, 2025)