Jiarun Liu

According to our database, Jiarun Liu authored at least 32 papers between 2021 and 2025.

Collaborative distances:

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

2025

Cognitive Duality for Adaptive Web Agents.

Jiarun Liu, Chunhong Zhang, Zheng Hu

CoRR, August, 2025

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors.

Sicong Du, Jiarun Liu, Qifeng Chen, Hao-Xiang Chen, Tai-Jiang Mu, Sheng Yang

CoRR, June, 2025

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging.

Xuanru Zhou, Jiarun Liu, Shoujun Yu, Hao Yang, Cheng Li, Tao Tan, Shanshan Wang

CoRR, June, 2025

BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis.

Jiarun Liu, Hong-Yu Zhou, Weijian Huang, Hao Yang, Dongning Song, Tao Tan, Yong Liang, Shanshan Wang

CoRR, May, 2025

Industrial-Grade Sensor Simulation via Gaussian Splatting: A Modular Framework for Scalable Editing and Full-Stack Validation.

Xianming Zeng, Sicong Du, Qifeng Chen, Lizhe Liu, Haoyu Shu, Jiaxuan Gao, Jiarun Liu, Jiulong Xu, Jianyun Xu, Mingxia Chen, Yiru Zhao, Peng Chen, Yapeng Xue, Chunming Zhao, Sheng Yang, Qiang Li

CoRR, March, 2025

IT-embedded dynamic capabilities for public institutions coping with disinformation - The case of financial fake news.

Oliver Rath, Frederic Haase, Johannes Werner Melsbach, Jiarun Liu, Detlef Schoder

Gov. Inf. Q., 2025

Efficient self-learning disturbance-resistant control for high-speed flight vehicle based on dual heuristic dynamic programming.

Xu Huang, Jiarun Liu, Yue Peng, Yuan Zhang, Zhaolei Wang, Weimin Bao

Eng. Appl. Artif. Intell., 2025

Automating vessel segmentation in the heart and brain: A trend to develop multi-modality and label-efficient deep learning techniques.

Nazik Elsayed, Yousuf Babiker M. Osman, Cheng Li, Jiarun Liu, Weixin Si, Jiong Zhang, Shanshan Wang

Biomed. Signal Process. Control., 2025

All That Glitters is Not Gold: Improving Robust Retrieval-Augmented Language Models with Fact-Centric Preference Alignment.

Jia Hao, Chunhong Zhang, Jiarun Liu, Haiyu Zhao, Zhiqiang Zhan, Zheng Hu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

WEPO: Web Element Preference Optimization for LLM-based Web Navigation.

Jiarun Liu, Jia Hao, Chunhong Zhang, Zheng Hu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement.

Weijian Huang, Cheng Li, Hao Yang, Jiarun Liu, Yong Liang, Hairong Zheng, Shanshan Wang

Medical Image Anal., 2024

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction.

Dongning Song, Weijian Huang, Jiarun Liu, Md Jahidul Islam, Hao Yang, Shanshan Wang

CoRR, 2024

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining.

Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang

CoRR, 2024

Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement.

Cheng Li, Weijian Huang, Hao Yang, Jiarun Liu, Shanshan Wang

CoRR, 2024

Generalizable vision-language pre-training for annotation-free pathology localization.

Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Shanshan Wang

CoRR, 2024

MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning.

Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Shanshan Wang

CoRR, 2024

Enhancing the medical foundation model with multi-scale and cross-modality feature learning.

Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Shanshan Wang

CoRR, 2024

Multimodal self-supervised learning for lesion localization.

Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Shanshan Wang

CoRR, 2024

Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining.

Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multimodal Self-Supervised Learning for Lesion Localization.

Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Guangming Shi, Hairong Zheng, Qiegen Liu, Shanshan Wang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning.

Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques.

Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Algorithm Topological Structure Search Based on Optimization of Mathematical Operation-Level Continuous Differentiable Search Framework.

Ludi Wang, Qinghai Gong, Zhaolei Wang, Jiarun Liu, Lin Ping

Proceedings of the International Joint Conference on Neural Networks, 2024

Meta-DM: Applications of Diffusion Models on Few-Shot Learning.

Wentao Hu, Jiarun Liu, Jiawei Wang, Hui Tian

Proceedings of the IEEE International Conference on Image Processing, 2024

Analyzing Threats to Financial Market Integrity - A Taxonomy of Financial Fake News Schemes.

Oliver Rath, Frederic Haase, Johannes Werner Melsbach, Jiarun Liu, Julia Lauten, Detlef Schoder

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning.

Weijian Huang, Cheng Li, Hao Yang, Jiarun Liu, Shanshan Wang

CoRR, 2023

Meta-DM: Applications of Diffusion Models on Few-Shot Learning.

Wentao Hu, Xiurong Jiang, Jiarun Liu, Yuqi Yang, Hui Tian

CoRR, 2023

Few-shot Class-incremental Learning for Cross-domain Disease Classification.

Hao Yang, Weijian Huang, Jiarun Liu, Cheng Li, Shanshan Wang

CoRR, 2023

2022

Identification of topic evolution: network analytics with piecewise linear representation and word embedding.

Lu Huang, Xiang Chen, Yi Zhang, Changtian Wang, Xiaoli Cao, Jiarun Liu

Scientometrics, 2022

Agreement or Disagreement in Noise-tolerant Mutual Learning?

Jiarun Liu, Daguang Jiang, Yukun Yang, Ruirui Li

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Online Identification of Frequency Response of Attitude Control System based on Eigensystem Realization Algorithm.

Yue Peng, Jiarun Liu

Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022

2021

Co-Correcting: Noise-Tolerant Medical Image Classification via Mutual Label Correction.

Jiarun Liu, Ruirui Li, Chuan Sun

IEEE Trans. Medical Imaging, 2021