Publications (28)
Enhancing Vision-Language Models Generalization via Diversity-Driven Novel Feature Synthesis
Siyuan Yan, Cheng Luo, Zhen Yu +1
Vision-language foundation models like CLIP have shown impressive zero-shot generalization, but finetuning on downstream datasets can cause overfitting and loss of its generalizati…
Adaptive Transformer Modelling of Density Function for Nonparametric Survival Analysis
Xin Zhang, Deval Mehta, Yanan Hu +8
Survival analysis holds a crucial role across diverse disciplines, such as economics, engineering and healthcare. It empowers researchers to analyze both time-invariant and time-va…
Quantitative Theory of Nanowire and Nanotube Antenna Performance
Peter J. Burke, Shengdong Li, Zhen Yu
We present quantitative predictions of the performance of nanotubes and nanowires as antennas, including the radiation resistance, the input reactance and resistance, and antenna e…
MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction
Zhen Yu, Yachao Yuan, Zixiang Peng +2
In traffic accident risk prediction, most studies overlook the extra noise that could be incorporated when fusing temporal features into spatial features, and some models struggle…
Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images
Zhen Yu, Jennifer Nguyen, Xiaojun Chang +5
Existing studies for automated melanoma diagnosis are based on single-time point images of lesions. However, melanocytic lesions de facto are progressively evolving and, moreover,…
TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack
Zhen Yu, Xiaosen Wang, Wanxiang Che +1
Existing textual adversarial attacks usually utilize the gradient or prediction confidence to generate adversarial examples, making it hard to be deployed in real-world application…
Progressive trajectory matching for medical dataset distillation
Zhen Yu, Yang Liu, Qingchao Chen
It is essential but challenging to share medical image datasets due to privacy issues, which prohibit building foundation models and knowledge transfer. In this paper, we propose a…
A Multimodal Vision Foundation Model for Clinical Dermatology
Siyuan Yan, Zhen Yu, Clare Primiero +22
Diagnosing and treating skin diseases require advanced visual skills across domains and the ability to synthesize information from multiple imaging modalities. While current deep l…
scDD: Latent Codes Based scRNA-seq Dataset Distillation with Foundation Model Knowledge
Zhen Yu, Jianan Han, Yang Liu +1
Single-cell RNA sequencing (scRNA-seq) technology has profiled hundreds of millions of human cells across organs, diseases, development and perturbations to date. However, the high…
Universal Semi-Supervised Learning for Medical Image Classification
Lie Ju, Yicheng Wu, Wei Feng +4
Semi-supervised learning (SSL) has attracted much attention since it reduces the expensive costs of collecting adequate well-labeled training data, especially for deep learning met…
Early Melanoma Diagnosis with Sequential Dermoscopic Images
Zhen Yu, Jennifer Nguyen, Toan D Nguyen +6
Dermatologists often diagnose or rule out early melanoma by evaluating the follow-up dermoscopic images of skin lesions. However, existing algorithms for early melanoma diagnosis a…
Prompt-driven Latent Domain Generalization for Medical Image Classification
Siyuan Yan, Chi Liu, Zhen Yu +7
Deep learning models for medical image analysis easily suffer from distribution shifts caused by dataset artifacts bias, camera variations, differences in the imaging station, etc.…
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision
Siyuan Yan, Zhen Yu, Xuelin Zhang +5
Deep neural networks have demonstrated promising performance on image recognition tasks. However, they may heavily rely on confounding factors, using irrelevant artifacts or bias w…
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition
Siyuan Yan, Chi Liu, Zhen Yu +6
Skin lesion recognition using deep learning has made remarkable progress, and there is an increasing need for deploying these systems in real-world scenarios. However, recent resea…
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images
Youyi Song, Zhen Yu, Teng Zhou +4
Exploiting more information from ground truth (GT) images now is a new research direction for further improving CNN's performance in CT image segmentation. Previous methods focus o…
Magnetism and Correlated Electrons in LaCrGeN
Jiao-Jiao Meng, Yu-Sen Xiao, Gen Li +22
We report the synthesis, structure and physical properties of a new quaternary nitride LaCrGeN. The compound crystallizes in the CeCrSiC-type structure (P4/mmm), fe…
MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment
Siyuan Yan, Xieji Li, Ming Hu +3
Dermatological diagnosis represents a complex multimodal challenge that requires integrating visual features with specialized clinical knowledge. While vision-language pretraining…
CtrlNeRF: The Generative Neural Radiation Fields for the Controllable Synthesis of High-fidelity 3D-Aware Images
Jian Liu, Zhen Yu
The neural radiance field (NERF) advocates learning the continuous representation of 3D geometry through a multilayer perceptron (MLP). By integrating this into a generative model,…
Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings
Zhen Yu, Toan Nguyen, Yaniv Gal +7
In practice, many medical datasets have an underlying taxonomy defined over the disease label space. However, existing classification algorithms for medical diagnoses often assume…
Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates
Ping Zhou, Zhen Yu, Jingyi Ma +2
Distributed statistical inference has recently attracted immense attention. The asymptotic efficiency of the maximum likelihood estimator (MLE), the one-step MLE, and the aggregate…
Electrical properties of 0.4 cm long single-walled carbon nanotubes
Shengdong Li, Zhen Yu, Christopher Rutherglen +1
Centimeter scale aligned carbon nanotube arrays are grown from nanoparticle metal catalyst pads. We find the nanotubes grow both with and against the wind. A metal underlayer provi…
Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model
Jiajun Sun, Zhen Yu, Siyuan Yan +3
Skin images from real-world clinical practice are often limited, resulting in a shortage of training data for deep-learning models. While many studies have explored skin image synt…
Flexible Sampling for Long-tailed Skin Lesion Classification
Lie Ju, Yicheng Wu, Lin Wang +5
Most of the medical tasks naturally exhibit a long-tailed distribution due to the complex patient-level conditions and the existence of rare diseases. Existing long-tailed learning…
Hierarchical Knowledge Guided Learning for Real-world Retinal Diseases Recognition
Lie Ju, Zhen Yu, Lin Wang +4
In the real world, medical datasets often exhibit a long-tailed data distribution (i.e., a few classes occupy the majority of the data, while most classes have only a limited numbe…
RoadFed: A Multimodal Federated Learning System for Improving Road Safety
Yachao Yuan, Zhen Yu, Yali Yuan +3
Internet of Things (IoTs) have been widely applied in Collaborative Intelligent Transportation Systems (C-ITS) for the prevention of road accidents. As one of the primary causes of…
Interpretable Machine Learning for Antepartum Prediction of Pregnancy-Associated Thrombotic Microangiopathy Using Routine Longitudinal Laboratory Data
Chuanchuan Sun, Zhen Yu, Qin Fan +2
Background: Pregnancy-associated thrombotic microangiopathy (P-TMA) is rare but life-threatening. Early risk prediction before overt clinical presentation remains challenging, as t…
FedAPTA: Federated Multi-task Learning for Heterogeneous Devices with Adaptive Layer-wise Pruning and Task-aware Aggregation
Zhen Yu, Yachao Yuan, Jin Wang +2
Federated Learning (FL) has shown considerable promise in Machine Learning (ML) across numerous devices for privacy protection, efficient data utilization, and dynamic collaboratio…
RetinaGuard: Obfuscating Retinal Age in Fundus Images for Biometric Privacy Preserving
Zhengquan Luo, Chi Liu, Dongfu Xiao +3
The integration of AI with medical images enables the extraction of implicit image-derived biomarkers for a precise health assessment. Recently, retinal age, a biomarker predicted…