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ORCIDJiahan Zhang
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2020 – today
- 2024
[c5]Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng:
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data. ICML 2024- [i4]Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng:
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data. CoRR abs/2406.10502 (2024) - 2023
- [j5]Devki Nandan Jha
, Zhenghua Chen, Shudong Liu, Min Wu, Jiahan Zhang, Graham Morgan, Rajiv Ranjan, Xiaoli Li:
A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment. IEEE Trans. Sustain. Comput. 8(1): 1-14 (2023) - [c4]Jiahan Zhang, Dayong Tian, Tianyang Wu, Yiqin Cao, Yaoqi Du, Yiwen Wei:
Self-supervised Example Difficulty Balancing for Local Descriptor Learning. ACML 2023: 1654-1669 - [i3]Jiahan Zhang, Dayong Tian:
Self-supervised Training Sample Difficulty Balancing for Local Descriptor Learning. CoRR abs/2303.06124 (2023) - [i2]Shaoyan Pan, Chih-Wei Chang, Junbo Peng, Jiahan Zhang, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Tian Liu, Hui Mao, Xiaofeng Yang:
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis. CoRR abs/2305.00042 (2023) - 2022
- [c3]Shadab Momin, Yang Lei, Jiahan Zhang, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution. Medical Imaging: Image-Guided Procedures 2022 - [i1]Mingzhe Hu, Jiahan Zhang, Luke Matkovic, Tian Liu, Xiaofeng Yang:
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions. CoRR abs/2206.14302 (2022) - 2021
- [j4]P. James Jensen, Jiahan Zhang, Bridget F. Koontz, Qingrong Jackie Wu:
A Novel Machine Learning Model for Dose Prediction in Prostate Volumetric Modulated Arc Therapy Using Output Initialization and Optimization Priorities. Frontiers Artif. Intell. 4: 624038 (2021) - [j3]Xinyu Gu, Jiahan Zhang, Kong Shi, Qian Wang:
Dynamic Resource Allocation for 3-D Sidelink Communication in Unlicensed Spectrum. IEEE Commun. Lett. 25(1): 303-307 (2021) - [c2]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, James A. O'Donnell, Pedro A. Quintero, Nathan Strutt, Oleg Golonzka, Chris Connor, Jack C. Lee, Jeffrey Hicks:
Embedded emerging memory technologies for neuromorphic computing: temperature instability and reliability. IRPS 2021: 1-5 - 2020
- [j2]Wentao Wang, Yang Sheng, Chunhao Wang, Jiahan Zhang, Xinyi Li, Manisha Palta, Brian Czito, Christopher G. Willett, Qiuwen Wu, Yaorong Ge, Fang-Fang Yin, Qingrong Jackie Wu:
Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy. Frontiers Artif. Intell. 3: 68 (2020) - [j1]Xinyu Gu, Yiyi Xu, Jiahan Zhang:
Joint Resource Allocation and Power Control Based on Vehicle's Motion Characteristics in NOMA-Based V2V Systems. Mob. Inf. Syst. 2020: 8811067:1-8811067:13 (2020)
2010 – 2019
- 2016
- [c1]Charles Ross Schmidtlein, James N. Turner, Michael O. Thompson, Krishna C. Mandal, Ida Häggström, Jiahan Zhang, John L. Humm, David H. Feiglin, Andrzej Król:
Performance modeling of a wearable brain PET (BET) camera. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978806
Coauthor Index
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