Yiqiang Chen
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View article: K-Space Bispectrum Steganography for Robust Unlearnable Data
K-Space Bispectrum Steganography for Robust Unlearnable Data Open
View article: Predicting Intraocular Collamer Lens Vault in Myopic Patients With Shallow Anterior Chamber Using FedEYE Platform and ChatGPT
Predicting Intraocular Collamer Lens Vault in Myopic Patients With Shallow Anterior Chamber Using FedEYE Platform and ChatGPT Open
Using different AI models to predict vault after ICL implantation could be of clinical significance for improving surgical safety and efficacy in shallow ACD patients.
View article: [Expression of Concern] Expression and significance of glucose‑regulated protein 78 in human osteosarcoma
[Expression of Concern] Expression and significance of glucose‑regulated protein 78 in human osteosarcoma Open
View article: Early detection of Parkinson's disease: Machine learning-based prediction of UPDRS Part III scores in <i>de novo</i> patients using smartphone assessments
Early detection of Parkinson's disease: Machine learning-based prediction of UPDRS Part III scores in <i>de novo</i> patients using smartphone assessments Open
Background Detecting motor symptoms in Parkinson's disease (PD) at home, especially in the prodromal, is crucial for disease-modifying therapies. Objective To evaluate the effectiveness of machine learning models using smartphone-based ass…
View article: Microbial response under sulfate stress in a sulfur-based autotrophic denitrification system
Microbial response under sulfate stress in a sulfur-based autotrophic denitrification system Open
This study investigated the responses of the bacterial community structure and metabolic pathways in a sulfur-based autotrophic denitrification filter (SADF) system to fast elevated sulfate salinity, from 0.04 to 1.2% in 30 days. Results s…
View article: Self-supervised Learning for Electroencephalogram: A Systematic Survey
Self-supervised Learning for Electroencephalogram: A Systematic Survey Open
Electroencephalography (EEG) is a non-invasive technique to record bioelectrical signals. Integrating supervised deep learning techniques with EEG signals has recently facilitated automatic analysis across diverse EEG-based tasks. However,…
View article: Biotechnology revival: in situ sludge minimization in wastewater
Biotechnology revival: in situ sludge minimization in wastewater Open
In the face of the escalating challenge of sludge production and disposal in wastewater treatment plants (WWTPs), in situ sludge reduction biotechnology (ISRB) has recently emerged as a highly promising strategy. It not only has the potent…
View article: The impact of an RNA-binding protein group on regulating the RSPO-LGR4/5-ZNRF3/RNF43 module and the immune microenvironment in hepatocellular carcinoma
The impact of an RNA-binding protein group on regulating the RSPO-LGR4/5-ZNRF3/RNF43 module and the immune microenvironment in hepatocellular carcinoma Open
View article: FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare Open
Federated Learning (FL) has emerged as an effective solution for multi-institutional collaborations without sharing patient data, offering a range of methods tailored for diverse applications. However, real-world medical datasets are often…
View article: VersaFusion: A Versatile Diffusion-Based Framework for Fine-Grained Image Editing and Enhancement
VersaFusion: A Versatile Diffusion-Based Framework for Fine-Grained Image Editing and Enhancement Open
Text-to-image (T2I) diffusion models have achieved remarkable progress in generating realistic images from textual descriptions. However, ensuring consistent high-quality image generation with complete backgrounds, object appearance, and o…
View article: Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer Open
Segmentation of ultra-high resolution (UHR) images is a critical task with numerous applications, yet it poses significant challenges due to high spatial resolution and rich fine details. Recent approaches adopt a dual-branch architecture,…
View article: Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement
Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement Open
The performance of multimodal models often deteriorates when modality absence occurs. The absence disrupts the learned inter-modal correlations, resulting in biased multimodal representations. This challenge is especially pronounced when t…
View article: Ten Challenging Problems in Federated Foundation Models
Ten Challenging Problems in Federated Foundation Models Open
Federated Foundation Models (FedFMs) represent a distributed learning paradigm that fuses general competences of foundation models as well as privacy-preserving capabilities of federated learning. This combination allows the large foundati…
View article: Effect of Candida albicans’ supernatant on biofilm formation and virulence factors of Pseudomonas aeruginosa through las/rhl System
Effect of Candida albicans’ supernatant on biofilm formation and virulence factors of Pseudomonas aeruginosa through las/rhl System Open
Pseudomonas aeruginosa (P. aeruginosa) and Candida albicans (C. albicans) are opportunistic pathogens whose mixed infections can exacerbate microbial dissemination and drug resistance, contributing to high mortality and morbidity rates amo…
View article: Chlorine dioxide oxidation of crayfish myofibrillar protein: Structural modifications and influences on gel properties
Chlorine dioxide oxidation of crayfish myofibrillar protein: Structural modifications and influences on gel properties Open
View article: InputJump: Augmented reality-facilitated cross-device input fusion based on spatial and semantic information
InputJump: Augmented reality-facilitated cross-device input fusion based on spatial and semantic information Open
The proliferation of computing devices requires seamless cross-device interactions. Augmented reality (AR) headsets can facilitate interactions with existing computers owing to their user-centered views and natural inputs. In this study, w…
View article: SleepMG: Multimodal Generalizable Sleep Staging with Inter-modal Balance of Classification and Domain Discrimination
SleepMG: Multimodal Generalizable Sleep Staging with Inter-modal Balance of Classification and Domain Discrimination Open
View article: GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model Agents
GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model Agents Open
Existing gesture interfaces only work with a fixed set of gestures defined either by interface designers or by users themselves, which introduces learning or demonstration efforts that diminish their naturalness. Humans, on the other hand,…
View article: Information Retrieval Optimization for Non-Exemplar Class Incremental Learning
Information Retrieval Optimization for Non-Exemplar Class Incremental Learning Open
View article: Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application Open
Large Language Models (LLMs) have showcased exceptional capabilities in various domains, attracting significant interest from both academia and industry. Despite their impressive performance, the substantial size and computational demands …
View article: GeneCompass: deciphering universal gene regulatory mechanisms with a knowledge-informed cross-species foundation model
GeneCompass: deciphering universal gene regulatory mechanisms with a knowledge-informed cross-species foundation model Open
View article: Circulating Biomarkers Predict Immunotherapeutic Response in Hepatocellular Carcinoma Using a Machine Learning Method
Circulating Biomarkers Predict Immunotherapeutic Response in Hepatocellular Carcinoma Using a Machine Learning Method Open
Circulating biomarkers are useful in predicting therapeutic outcomes and can help in making clinical decisions regarding the use of ICI therapy.
View article: Two-stage deep neural network for diagnosing fungal keratitis via in vivo confocal microscopy images
Two-stage deep neural network for diagnosing fungal keratitis via in vivo confocal microscopy images Open
View article: An fNIRS representation and fNIRS-scales multimodal fusion method for auxiliary diagnosis of amnestic mild cognitive impairment
An fNIRS representation and fNIRS-scales multimodal fusion method for auxiliary diagnosis of amnestic mild cognitive impairment Open
Amnestic mild cognitive impairment (aMCI) is the prodromal period of more serious neurodegenerative diseases (e.g., Alzheimer's disease), characterized by declines in memory and thinking abilities. Auxiliary assessment and early diagnosis …
View article: Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application Open
Large Language Models (LLMs) have showcased exceptional capabilities in various domains, attracting significant interest from both academia and industry. Despite their impressive performance, the substantial size and computational demands …
View article: AUGlasses: Continuous Action Unit based Facial Reconstruction with Low-power IMUs on Smart Glasses
AUGlasses: Continuous Action Unit based Facial Reconstruction with Low-power IMUs on Smart Glasses Open
Recent advancements in augmented reality (AR) have enabled the use of various sensors on smart glasses for applications like facial reconstruction, which is vital to improve AR experiences for virtual social activities. However, the size a…
View article: Application of pectin hydrolyzing bacteria in tobacco to improve flue-cured tobacco quality
Application of pectin hydrolyzing bacteria in tobacco to improve flue-cured tobacco quality Open
To study the relationship between the diversity of the surface microbial community and tobacco flavor, and to improve tobacco quality using microorganisms. The microbial community composition and diversity of 14 samples of flue-cured tobac…
View article: Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
Generative AI for Synthetic Data Generation: Methods, Challenges and the Future Open
The recent surge in research focused on generating synthetic data from large language models (LLMs), especially for scenarios with limited data availability, marks a notable shift in Generative Artificial Intelligence (AI). Their ability t…
View article: FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmology
FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmology Open
Data-driven machine learning, as a promising approach, possesses the capability to build high-quality, exact, and robust models from ophthalmic medical data. Ophthalmic medical data, however, presently exist across disparate data silos wit…
View article: An Adaptive Quantization Model Compression Method for Heterogeneous Federated Learning
An Adaptive Quantization Model Compression Method for Heterogeneous Federated Learning Open
In this paper, we introduce a novel adaptive In-Parallel Pruning-Quantization method, speciffcally designed for heterogeneous federated learning environments. Federated learning, as a distributed machine learning approach, allows multiple …