Junying Chen

Orcid: 0000-0003-0703-1312

According to our database1, Junying Chen authored at least 91 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis.
CoRR, 2024

HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale.
CoRR, 2024

LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Them.
CoRR, 2024

LLMs Could Autonomously Learn Without External Supervision.
CoRR, 2024

ALLaVA: Harnessing GPT4V-synthesized Data for A Lite Vision-Language Model.
CoRR, 2024

Estimation of winter canola growth parameter from UAV multi-angular spectral-texture information using stacking-based ensemble learning model.
Comput. Electron. Agric., 2024

Multimodal image feature fusion for improving medical ultrasound image segmentation.
Biomed. Signal Process. Control., 2024

The daily soil water content monitoring of cropland in irrigation area using Sentinel-2/3 spatio-temporal fusion and machine learning.
Int. J. Appl. Earth Obs. Geoinformation, 2024

CMB: A Comprehensive Medical Benchmark in Chinese.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AceGPT, Localizing Large Language Models in Arabic.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Lightweight DenseNet Model with A Hybrid Attention Mechanism and A Cross-Module Channel Reuse Strategy for Edge Computing.
Proceedings of the International Joint Conference on Neural Networks, 2024

PDDM: Poisson-Distribution Diffusion Model with Multi-Step Weighted Fusion for Medical Image Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Incremental learning for crop growth parameters estimation and nitrogen diagnosis from hyperspectral data.
Comput. Electron. Agric., December, 2023

DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Unsupervised Pre-Training for Detection Transformers.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Improving estimation of maize leaf area index by combining of UAV-based multispectral and thermal infrared data: The potential of new texture index.
Comput. Electron. Agric., November, 2023

A Micro-Topography Measurement and Compensation Method for the Key Component Surface Based on White-Light Interferometry.
Sensors, October, 2023

MLLM-Bench, Evaluating Multi-modal LLMs using GPT-4V.
CoRR, 2023

HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs.
CoRR, 2023

AceGPT, Localizing Large Language Models in Arabic.
CoRR, 2023

Phoenix: Democratizing ChatGPT across Languages.
CoRR, 2023

Automatic Deep Active Contour Model Based on Local Image Characteristics.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

MC-PDARTS: Multi-Cell Progressive Differentiable Architecture Search.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Local Entropy Based Fuzzy Connectedness Segmentation for Thyroid Ultrasound Images.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Spinal Nerve Segmentation Method and Dataset Construction in Endoscopic Surgical Scenarios.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Compact and Accurate Adaptive Width Radial Basis Function Neural Network with Discriminative Features for Thyroid Gland Segmentation.
IROS, 2023

Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Defect Detection in Computer Motherboard Assembly through Fusion of Multi-Scale Features and Attention Mechanisms.
Proceedings of the 9th International Conference on Systems and Informatics, 2023

Low-Sampling-Frequency Plane wave Medical Ultrasound Imaging based on Adversarial Learning.
Proceedings of the IEEE International Conference on Image Processing, 2023

HuatuoGPT, Towards Taming Language Model to Be a Doctor.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PageCNNs: Convolutional Neural Networks for Multi-label Chinese Webpage Classification with Multi-information Fusion.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022
Severity Assessment of Cervical Spondylotic Myelopathy Based on Intelligent Video Analysis.
IEEE J. Biomed. Health Informatics, 2022

Forecast of flood disaster emergency material demand based on IACO-BP algorithm.
Neural Comput. Appl., 2022

Small object detection combining attention mechanism and a novel FPN.
J. Intell. Fuzzy Syst., 2022

SeDR: Segment Representation Learning for Long Documents Dense Retrieval.
CoRR, 2022

Improved EDVR Model for Robust and Efficient Video Super-Resolution.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Spatial Consistency and Feature Diversity Regularization in Transfer Learning for Fine-Grained Visual Categorization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

UniMoCo: Unsupervised, Semi-Supervised and Fully-Supervised Visual Representation Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022



Retrieval-Then-Parsing: A Two-Stage Model for SQL Generation in Financial Domain.
Proceedings of the CCKS 2022 - Evaluation Track, 2022

Diaformer: Automatic Diagnosis via Symptoms Sequence Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Diagnostic Prediction for Cervical Spondylotic Myelopathy Based on Multi-source Data in Electronic Medical Records.
Proceedings of the Web Information Systems and Applications, 2022

2021
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning.
CoRR, 2021

Predicting the contents of soil salt and major water-soluble ions with fractional-order derivative spectral indices and variable selection.
Comput. Electron. Agric., 2021

Optimal window size selection for spectral information extraction of sampling points from UAV multispectral images for soil moisture content inversion.
Comput. Electron. Agric., 2021

The Method of Information Communication of Online Social Network Based on Communication Algorithm.
Proceedings of the 4th International Conference on Information Systems and Computer Aided Education, 2021

Leveraging Capsule Routing to Associate Knowledge with Medical Literature Hierarchically.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Mask Dynamic Routing to Combined Model of Deep Capsule Network and U-Net.
IEEE Trans. Neural Networks Learn. Syst., 2020

Multi-Operator Minimum Variance Adaptive Beamforming Algorithms Accelerated With GPU.
IEEE Trans. Medical Imaging, 2020

A hybrid representation-based simile component extraction.
Neural Comput. Appl., 2020

SAANet: Spatial adaptive alignment network for object detection in automatic driving.
Image Vis. Comput., 2020

A review of thyroid gland segmentation and thyroid nodule segmentation methods for medical ultrasound images.
Comput. Methods Programs Biomed., 2020

Compressed Data Collection Method for Wireless Sensor Networks Based on Optimized Dictionary Updating Learning.
IEEE Access, 2020

Multimodal Representation with Embedded Visual Guiding Objects for Named Entity Recognition in Social Media Posts.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Can Scientific Publication's Network Structural Features Predict its Citation?
Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

MedWriter: Knowledge-Aware Medical Text Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Aligned Dual Channel Graph Convolutional Network for Visual Question Answering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Simplified Evaluation of Cotton Water Stress Using High Resolution Unmanned Aerial Vehicle Thermal Imagery.
Remote. Sens., 2019

A united framework with multi-operator evolutionary algorithms and interior point method for efficient single objective optimisation problem solving.
Int. J. High Perform. Comput. Netw., 2019

Combining Part-of-Speech Tags and Self-Attention Mechanism for Simile Recognition.
IEEE Access, 2019

Deep Learning Based Minimum Variance Beamforming for Ultrasound Imaging.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

Weighted N-grams CNN for Text Classification.
Proceedings of the Information Retrieval Technology, 2019

2017
A hybrid feature selection algorithm for gene expression data classification.
Neurocomputing, 2017

Design and evaluation of medical ultrasonic adaptive beamforming algorithm implementation on heterogeneous embedded computing platform.
EURASIP J. Embed. Syst., 2017

An Evolutionary Algorithm Using Multi-Strategy Combination for Single Objective Optimization Problem.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016
An Online Dictionary Learning-Based Compressive Data Gathering Algorithm in Wireless Sensor Networks.
Sensors, 2016

Pedestrian behaviour analysis using the microsoft kinect.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

Improved Sparsest Random Scheduling for Compressive Data Gathering under Unreliable Link in Wireless Sensor Networks.
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

Parallel Delay-and-Sum Algorithm Implemented on SuperVessel Cloud with High-Performance FPGA.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

Implementation of parallel medical ultrasound imaging algorithm on CAPI-enabled FPGA.
Proceedings of the 2016 International Conference on Field-Programmable Technology, 2016

2015
Nonlinear distance function learning using neural network: an iterative framework.
Multim. Tools Appl., 2015

Low-rank matrix completion and cellular automaton modelling for interpolation.
J. Exp. Theor. Artif. Intell., 2015

2014
Comparative Analysis of Density Estimation Based Kernel Regression.
Proceedings of the Machine Learning and Cybernetics, 2014

2013
Design space exploration of real-time bedside and portable medical ultrasound adaptive beamformer acceleration.
PhD thesis, 2013

2012
Design considerations of real-time adaptive beamformer for medical ultrasound research using FPGA and GPU.
Proceedings of the 2012 International Conference on Field-Programmable Technology, 2012

2011
Design space exploration of adaptive beamforming acceleration for bedside and portable medical ultrasound imaging.
SIGARCH Comput. Archit. News, 2011

Medical Ultrasound Imaging: To GPU or Not to GPU?
IEEE Micro, 2011

Designing RBF neural networks with weighted mean subtractive clustering algorithms.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2009
A simple graphical approach for understanding probabilistic inference in Bayesian networks.
Inf. Sci., 2009

A formal comparison of variable elimination and arc reversal in Bayesian network inference.
Intell. Decis. Technol., 2009

A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

2008
An overview of content-based three-dimensional model retrieval methods.
Proceedings of the 3rd IEEE International Conference on System of Systems Engineering, 2008

A PSO-based subtractive clustering technique for designing RBF neural networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2006
Dimensionality Reduction for Evolving RBF Networks with Particle Swarms.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Training RBF Neural Networks with PSO and Improved Subtractive Clustering Algorithms.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Evolving RBF Neural Networks for Pattern Classification.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
Training Radial Basis Function Networks with Particle Swarms.
Proceedings of the Advances in Neural Networks, 2004

Rule Discovery with Particle Swarm Optimization.
Proceedings of the Content Computing, Advanced Workshop on Content Computing, 2004


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