Jiahan Zhang - RankMe

19 papers A* 2C 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Embedding principle of homogeneous neural network for classification problem. CoRR Jiahan Zhang, Yaoyu Zhang, Tao Luo
2025	J	`jnl`	EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory. CoRR Jiahao Wang, Luoxin Ye, Taiming Lu, Junfei Xiao, Jiahan Zhang, Yuxiang Guo, Xijun Liu, Rama Chellappa, Cheng Peng, Alan L. Yuille, Jieneng Chen
2025	J	`jnl`	Improving Generalizability and Undetectability for Targeted Adversarial Attacks on Multimodal Pre-trained Models. CoRR Zhifang Zhang, Jiahan Zhang, Shengjie Zhou, Qi Wei, Shuo He, Feng Liu, Lei Feng
2025	A*	`conf`	Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack. AAAI Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An
2025	J	`jnl`	World-in-World: World Models in a Closed-Loop World. CoRR Jiahan Zhang, Muqing Jiang, Nanru Dai, Taiming Lu, Arda Uzunoglu, Shunchi Zhang, Yana Wei, Jiahao Wang, Vishal M. Patel, Paul Pu Liang, Daniel Khashabi, Cheng Peng, Rama Chellappa, Tianmin Shu, Alan L. Yuille, Yilun Du, Jieneng Chen
2024	A*	`conf`	Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data. ICML Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng
2024	J	`jnl`	Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data. CoRR Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng
2023	J	`jnl`	A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment. IEEE Trans. Sustain. Comput. Devki Nandan Jha, Zhenghua Chen, Shudong Liu, Min Wu, Jiahan Zhang, Graham Morgan, Rajiv Ranjan, Xiaoli Li
2023	J	`jnl`	Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis. CoRR Shaoyan Pan, Chih-Wei Chang, Junbo Peng, Jiahan Zhang, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Tian Liu, Hui Mao, Xiaofeng Yang
2023	C	`conf`	Self-supervised Example Difficulty Balancing for Local Descriptor Learning. ACML Jiahan Zhang, Dayong Tian, Tianyang Wu, Yiqin Cao, Yaoqi Du, Yiwen Wei
2023	J	`jnl`	Self-supervised Training Sample Difficulty Balancing for Local Descriptor Learning. CoRR Jiahan Zhang, Dayong Tian
2022	—	`conf`	Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution. Image-Guided Procedures Shadab Momin, Yang Lei, Jiahan Zhang, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang
2022	J	`jnl`	Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions. CoRR Mingzhe Hu, Jiahan Zhang, Luke Matkovic, Tian Liu, Xiaofeng Yang
2021	J	`jnl`	A Novel Machine Learning Model for Dose Prediction in Prostate Volumetric Modulated Arc Therapy Using Output Initialization and Optimization Priorities. Frontiers Artif. Intell. P. James Jensen, Jiahan Zhang, Bridget F. Koontz, Qingrong Jackie Wu
2021	J	`jnl`	Dynamic Resource Allocation for 3-D Sidelink Communication in Unlicensed Spectrum. IEEE Commun. Lett. Xinyu Gu, Jiahan Zhang, Kong Shi, Qian Wang
2021	—	`conf`	Embedded emerging memory technologies for neuromorphic computing: temperature instability and reliability. IRPS 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
2020	J	`jnl`	Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy. Frontiers Artif. Intell. 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
2020	J	`jnl`	Joint Resource Allocation and Power Control Based on Vehicle's Motion Characteristics in NOMA-Based V2V Systems. Mob. Inf. Syst. Xinyu Gu, Yiyi Xu, Jiahan Zhang
2016	—	`conf`	Performance modeling of a wearable brain PET (BET) camera. Biomedical Applications in Molecular, Structural, and Functional Imaging Charles Ross Schmidtlein, James N. Turner, Michael O. Thompson, Krishna C. Mandal, Ida Häggström, Jiahan Zhang, John L. Humm, David H. Feiglin, Andrzej Król