10 citations · 29 across the 16 of their papers we have counts for
17 papers
Teaching AI Agent to Play Poker Strategically Through Preference Optimization
Phurinat Polasa, Thanapon Thanadunpremdet, Phatthanasak Kraiduang +1
A poker agent can make a legal move and still make a strategically poor one. We ask whether compact AI agents can exhibit strategic behavior under hidden information and whether pr…
LINGO: Latent Initialization and Gradient Optimization for Sparse-view X-ray Novel View Synthesis and CT Reconstruction with 3D Gaussian Splatting
Lifeng Xing, Dequan Jin, Kunpeng Bu +2
In novel view synthesis and Computed Tomography (CT) reconstruction with sparse-view X-ray imaging, insufficient angular coverage leads to structural ambiguity and accumulated nois…
LMS-Net: A Learned Mumford-Shah Network For Few-Shot Medical Image Segmentation
Shengdong Zhang, Fan Jia, Xiang Li +4
Few-shot semantic segmentation (FSS) methods have shown great promise in handling data-scarce scenarios, particularly in medical image segmentation tasks. However, most existing FS…
Re-Visible Dual-Domain Self-Supervised Deep Unfolding Network for MRI Reconstruction
Hao Zhang, Qi Wang, Jian Sun +3
Magnetic Resonance Imaging (MRI) is widely used in clinical practice, but suffered from prolonged acquisition time. Although deep learning methods have been proposed to accelerate…
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for Faster Inference
Yifan Feng, Yihe Luo, Shihui Ying +1
Hypergraph Neural Networks (HGNNs) have recently attracted much attention and exhibited satisfactory performance due to their superiority in high-order correlation modeling. Howeve…
Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction
Hao Zhang, Qi Wang, Jun Shi +2
Multi-modal Magnetic Resonance Imaging (MRI) offers complementary diagnostic information, but some modalities are limited by the long scanning time. To accelerate the whole acquisi…
UFPS: A unified framework for partially-annotated federated segmentation in heterogeneous data distribution
Le Jiang, Li Yan Ma, Tie Yong Zeng +1
Partially supervised segmentation is a label-saving method based on datasets with fractional classes labeled and intersectant. However, it is still far from landing on real-world m…
HNS: An Efficient Hermite Neural Solver for Solving Time-Fractional Partial Differential Equations
Jie Hou, Zhiying Ma, Shihui Ying +1
Neural network solvers represent an innovative and promising approach for tackling time-fractional partial differential equations by utilizing deep learning techniques. L1 interpol…
Strong Consistency of Spectral Clustering for the Sparse Degree-Corrected Hypergraph Stochastic Block Model
Chong Deng, Xin-Jian Xu, Shihui Ying
We prove strong consistency of spectral clustering under the degree-corrected hypergraph stochastic block model in the sparse regime where the maximum expected hyperdegree is as sm…
Hypergraph Isomorphism Computation
Yifan Feng, Jiashu Han, Shihui Ying +1
The isomorphism problem is a fundamental problem in network analysis, which involves capturing both low-order and high-order structural information. In terms of extracting low-orde…
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images
Jian Wang, Liang Qiao, Shichong Zhou +6
Deep learning (DL) has proven highly effective for ultrasound-based computer-aided diagnosis (CAD) of breast cancers. In an automaticCAD system, lesion detection is critical for th…
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification
Saisai Ding, Juncheng Li, Jun Wang +2
The multi-scale information among the whole slide images (WSIs) is essential for cancer diagnosis. Although the existing multi-scale vision Transformer has shown its effectiveness…
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction
Qi Wang, Zhijie Wen, Jun Shi +3
Multi-modal magnetic resonance imaging (MRI) plays a crucial role in comprehensive disease diagnosis in clinical medicine. However, acquiring certain modalities, such as T2-weighte…
Fast MRI Reconstruction via Edge Attention
Hanhui Yang, Juncheng Li, Lok Ming Lui +3
Fast and accurate MRI reconstruction is a key concern in modern clinical practice. Recently, numerous Deep-Learning methods have been proposed for MRI reconstruction, however, they…
Sliding at first order: Higher-order momentum distributions for discontinuous image registration
Lili Bao, Jiahao Lu, Shihui Ying +1
In this paper, we propose a new approach to deformable image registration that captures sliding motions. The large deformation diffeomorphic metric mapping (LDDMM) registration met…
Deep Hypergraph Structure Learning
Zizhao Zhang, Yifan Feng, Shihui Ying +1
Learning on high-order correlation has shown superiority in data representation learning, where hypergraph has been widely used in recent decades. The performance of hypergraph-bas…
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images
Jun Shi, Yuanming Zhang, Zheng Li +4
Computer-aided diagnosis (CAD) can help pathologists improve diagnostic accuracy together with consistency and repeatability for cancers. However, the CAD models trained with the h…