Performance modeling of a wearable brain PET (BET) camera. - Charles Ross Schmidtlein; James N. Turner; Michael O. Thompson; Krishna C. Mandal; Ida Häggström; Jiahan Zhang; John L. Humm; David H. Feiglin; Andrzej Król (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy. - Wentao Wang; Yang Sheng; Chunhao Wang; Jiahan Zhang; Xinyi Li 003; Manisha Palta; Brian Czito; Christopher G. Willett; Qiuwen Wu; Yaorong Ge; Fang-Fang Yin; Qingrong Jackie Wu (Frontiers Artif. Intell., 2020)

Joint Resource Allocation and Power Control Based on Vehicle's Motion Characteristics in NOMA-Based V2V Systems. - Xinyu Gu; Yiyi Xu; Jiahan Zhang (Mob. Inf. Syst., 2020)

Embedded emerging memory technologies for neuromorphic computing: temperature instability and reliability. - Yao-Feng Chang; Ilya Karpov; Reed Hopkins; David Janosky; Jacob Medeiros; Benjamin Sherrill; Jiahan Zhang; Yifu Huang; Tanmoy Pramanik; Albert B. Chen; Tony Acosta; Abdullah Guler; et al. (IRPS, 2021)

A Novel Machine Learning Model for Dose Prediction in Prostate Volumetric Modulated Arc Therapy Using Output Initialization and Optimization Priorities. - P. James Jensen; Jiahan Zhang; Bridget F. Koontz; Qingrong Jackie Wu (Frontiers Artif. Intell., 2021)

Dynamic Resource Allocation for 3-D Sidelink Communication in Unlicensed Spectrum. - Xinyu Gu; Jiahan Zhang; Kong Shi; Qian Wang (IEEE Commun. Lett., 2021)

Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution. - Shadab Momin; Yang Lei 002; Jiahan Zhang; Tonghe Wang; Justin Roper; Jeffrey D. Bradley; Pretesh Patel; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2022)

Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions. - Mingzhe Hu; Jiahan Zhang; Luke Matkovic; Tian Liu 004; Xiaofeng Yang 005 (CoRR, 2022)

Self-supervised Example Difficulty Balancing for Local Descriptor Learning. - Jiahan Zhang; Dayong Tian; Tianyang Wu; Yiqin Cao; Yaoqi Du; Yiwen Wei (ACML, 2023)

Self-supervised Training Sample Difficulty Balancing for Local Descriptor Learning. - Jiahan Zhang; Dayong Tian (CoRR, 2023)

Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis. - Shaoyan Pan; Chih-Wei Chang; Junbo Peng; Jiahan Zhang; Richard L. J. Qiu; Tonghe Wang; Justin Roper; Tian Liu 004; Hui Mao; Xiaofeng Yang 005 (CoRR, 2023)

A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment. - Devki Nandan Jha; Zhenghua Chen; Shudong Liu 003; Min Wu 008; Jiahan Zhang; Graham Morgan; Rajiv Ranjan 001; Xiaoli Li 001 (IEEE Trans. Sustain. Comput., 2023)

Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data. - Jiahan Zhang; Qi Wei 004; Feng Liu 003; Lei Feng 006 (ICML, 2024)

Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack. - Qi Wei 004; Shuo He 001; Jiahan Zhang; Lei Feng 006; Bo An 001 (AAAI, 2025)

Embedding principle of homogeneous neural network for classification problem. - Jiahan Zhang; Yaoyu Zhang; Tao Luo (CoRR, 2025)