3 citations · 8 across the 7 of their papers we have counts for
7 papers
Phase-Specific Augmented Reality Guidance for Microscopic Cataract Surgery Using Long-Short Spatiotemporal Aggregation Transformer
Puxun Tu, Hongfei Ye, Haochen Shi +6
Phacoemulsification cataract surgery (PCS) is a routine procedure conducted using a surgical microscope, heavily reliant on the skill of the ophthalmologist. While existing PCS gui…
: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Qin Zhang, Zelin Shi, Xiaolin Zhang +3
Node classification is the task of predicting the labels of unlabeled nodes in a graph. State-of-the-art methods based on graph neural networks achieve excellent performance when a…
A Survey for Efficient Open Domain Question Answering
Qin Zhang, Shangsi Chen, Dongkuan Xu +4
Open domain question answering (ODQA) is a longstanding task aimed at answering factual questions from a large knowledge corpus without any explicit evidence in natural language pr…
Semantic-Enhanced Image Clustering
Shaotian Cai, Liping Qiu, Xiaojun Chen +2
Image clustering is an important and open-challenging task in computer vision. Although many methods have been proposed to solve the image clustering task, they only explore images…
Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network
Yuexin Bian, Jintai Chen, Xiaojun Chen +3
A large number of people suffer from life-threatening cardiac abnormalities, and electrocardiogram (ECG) analysis is beneficial to determining whether an individual is at risk of s…
Deep Self-Adaptive Hashing for Image Retrieval
Qinghong Lin, Xiaojun Chen, Qin Zhang +2
Hashing technology has been widely used in image retrieval due to its computational and storage efficiency. Recently, deep unsupervised hashing methods have attracted increasing at…
High-Order Evaluation Complexity for Convexly-Constrained Optimization with Non-Lipschitzian Group Sparsity Terms
X. Chen, Ph. L. Toint
This paper studies high-order evaluation complexity for partially separable convexly-constrained optimization involving non-Lipschitzian group sparsity terms in a nonconvex objecti…