180 citations
- Chinese Academy of SciencesCN2 papers
- Peng Cheng LaboratoryCN2 papers
- Tsinghua UniversityCN2 papers
- Aalto UniversityFI1 paper
- Army Medical UniversityCN1 paper
- Central South UniversityCN1 paper
- Centre for Quantum TechnologiesSG1 paper
- Cloud Computing CenterCN1 paper
- Hunan Normal UniversityCN1 paper
- Institute for Basic ScienceKR1 paper
- Institute of SoftwareCN1 paper
- Nanchang UniversityCN1 paper
12 papers
CNA: An AI-Oriented Comprehensive Normalized Assessment for Healthy Status and Application to Optimize RRT Strategies by Reinforcement Learning
Jiang Liu, Chan Zhou, Yujie Li +8
Millions worldwide require Renal Replacement Therapy (RRT) as a treatment essential for survival. However, optimizing RRT strategies via AI is challenging due to heterogeneous pati…
SelaVPR++: Towards Seamless Adaptation of Foundation Models for Efficient Place Recognition
Feng Lu, Tong Jin, Xiangyuan Lan +4
Recent studies show that the visual place recognition (VPR) method using pre-trained visual foundation models can achieve promising performance. In our previous work, we propose a…
Deep Homography Estimation for Visual Place Recognition
Feng Lu, Shuting Dong, Lijun Zhang +4
Visual place recognition (VPR) is a fundamental task for many applications such as robot localization and augmented reality. Recently, the hierarchical VPR methods have received co…
STA-VPR: Spatio-temporal Alignment for Visual Place Recognition
Feng Lu, Baifan Chen, Xiang-Dong Zhou +1
Recently, the methods based on Convolutional Neural Networks (CNNs) have gained popularity in the field of visual place recognition (VPR). In particular, the features from the midd…
The numerical factorization of polynomials
Wenyuan Wu, Zhonggang Zeng
Polynomial factorization in conventional sense is an ill-posed problem due to its discontinuity with respect to coefficient perturbations, making it a challenge for numerical compu…
Entanglement Structure Detection via Machine Learning
Changbo Chen, Changliang Ren, Hongqing Lin +1
Detecting the entanglement structure, such as intactness and depth, of an n-qubit state is important for understanding the imperfectness of the state preparation in experiments. Ho…