77 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Zhejiang UniversityCN11 papers
- Zhejiang University of Science and TechnologyCN5 papers
- Nanjing University of Aeronautics and AstronauticsCN2 papers
- Ningbo UniversityCN2 papers
- Zhejiang LabCN2 papers
- Zhejiang University of TechnologyCN2 papers
- Allen Institute for Brain ScienceUS1 paper
- China Academy of Space TechnologyCN1 paper
- Department of Mathematical SciencesRU1 paper
- Focused Photonics (China)CN1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Khalifa University of Science and TechnologyAE1 paper
11 papers
Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning
Zilun Zhang, Zian Guan, Tiancheng Zhao +7
Referring expression understanding in remote sensing poses unique challenges, as it requires reasoning over complex object-context relationships. While supervised fine-tuning (SFT)…
Robust Deep Learning-Based Physical Layer Communications: Strategies and Approaches
Fenghao Zhu, Xinquan Wang, Chen Zhu +6
Deep learning (DL) has emerged as a transformative technology with immense potential to reshape the sixth-generation (6G) wireless communication network. By utilizing advanced algo…
ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG
Zilun Zhang, Haozhan Shen, Tiancheng Zhao +7
Ultra High Resolution (UHR) remote sensing imagery (RSI) (e.g. 100,000 100,000 pixels or more) poses a significant challenge for current Remote Sensing Multimodal Large La…
AutoSimTTF: A Fully Automatic Pipeline for Electric Field Simulation and Treatment Planning of Tumor Treating Fields
Minmin Wang, Xu Xie, Zhengbo Fan +5
Objective: Tumor Treating Fields (TTFields) is an emerging approach for cancer therapy that inhibits tumor cell proliferation by applying alternating electric fields (EF) of interm…
Advancing biomolecular understanding and design following human instructions
Xiang Zhuang, Keyan Ding, Tianwen Lyu +9
Understanding and designing biomolecules, such as proteins and small molecules, is central to advancing drug discovery, synthetic biology and enzyme engineering. Recent breakthroug…
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
Yuhu Bai, Jiangning Zhang, Zhaofeng Chen +3
Few-shot anomaly detection (FSAD) plays a crucial role in industrial manufacturing. However, existing FSAD methods encounter difficulties leveraging a limited number of normal samp…
Probabilistic Semantic Communication over Wireless Networks with Rate Splitting
Zhouxiang Zhao, Zhaohui Yang, Ye Hu +3
In this paper, the problem of joint transmission and computation resource allocation for probabilistic semantic communication (PSC) system with rate splitting multiple access (RSMA…
FedRecAttack: Model Poisoning Attack to Federated Recommendation
Dazhong Rong, Shuai Ye, Ruoyan Zhao +3
Federated Recommendation (FR) has received considerable popularity and attention in the past few years. In FR, for each user, its feature vector and interaction data are kept local…
AGMI: Attention-Guided Multi-omics Integration for Drug Response Prediction with Graph Neural Networks
Ruiwei Feng, Yufeng Xie, Minshan Lai +3
Accurate drug response prediction (DRP) is a crucial yet challenging task in precision medicine. This paper presents a novel Attention-Guided Multi-omics Integration (AGMI) approac…
AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption
Mingfu Xue, Zhiyu Wu, Jian Wang +2
A well-trained DNN model can be regarded as an intellectual property (IP) of the model owner. To date, many DNN IP protection methods have been proposed, but most of them are water…
Use the Spear as a Shield: A Novel Adversarial Example based Privacy-Preserving Technique against Membership Inference Attacks
Mingfu Xue, Chengxiang Yuan, Can He +4
Recently, the membership inference attack poses a serious threat to the privacy of confidential training data of machine learning models. This paper proposes a novel adversarial ex…