activity
20182025
most citedCLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction

25 citations · 31 across the 12 of their papers we have counts for

collaborators

12 papers

math.NA2025

A Hybrid Discontinuous Galerkin Neural Network Method for Solving Hyperbolic Conservation Laws with Temporal Progressive Learning

Yan Shen, Jingrun Chen, Keke Wu

For hyperbolic conservation laws, traditional methods and physics-informed neural networks (PINNs) often encounter difficulties in capturing sharp discontinuities and maintaining t…

cs.LG2024★ 1 cited

Continual Domain Adversarial Adaptation via Double-Head Discriminators

Yan Shen, Zhanghexuan Ji, Chunwei Ma +1

Domain adversarial adaptation in a continual setting poses a significant challenge due to the limitations on accessing previous source domain data. Despite extensive research in co…

cs.CV2023★ 25 cited

CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction

Yiming Lei, Zilong Li, Yan Shen +2

Lung nodule malignancy prediction has been enhanced by advanced deep-learning techniques and effective tricks. Nevertheless, current methods are mainly trained with cross-entropy l…

cs.CV2023

LSDM: Long-Short Diffeomorphic Motion for Weakly-Supervised Ultrasound Landmark Tracking

Zhihua Liu, Bin Yang, Yan Shen +2

Accurate tracking of an anatomical landmark over time has been of high interests for disease assessment such as minimally invasive surgery and tumor radiation therapy. Ultrasound i…

cs.CV2022

Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning

Chunwei Ma, Zhanghexuan Ji, Ziyun Huang +3

Exemplar-free Class-incremental Learning (CIL) is a challenging problem because rehearsing data from previous phases is strictly prohibited, causing catastrophic forgetting of Deep…

cs.CV2022

A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning

Yan Shen, Zhanghexuan Ji, Chunwei Ma +1

Object tracking is one of the fundamental problems in visual recognition tasks and has achieved significant improvements in recent years. The achievements often come with the price…