Search Results for author: Yong Chen

Found 38 papers, 10 papers with code

MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation

1 code implementation11 Jun 2024 Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio

MAP identifies a Pareto set of scaling coefficients for merging multiple models to reflect the trade-offs.

From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR

no code implementations9 Jun 2024 ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C Ho, Carl Yang

Electronic Health Records (EHRs) contain rich patient information and are crucial for clinical research and practice.

GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving

1 code implementation28 Mar 2024 Yunpeng Zhang, Deheng Qian, Ding Li, Yifeng Pan, Yong Chen, Zhenbao Liang, Zhiyao Zhang, Shurui Zhang, Hongxu Li, Maolei Fu, Yun Ye, Zhujin Liang, Yi Shan, Dalong Du

With the representation of the ISG, the driving agents aggregate essential information from the most influential elements, including the road agents with potential collisions and the map elements to follow.

Autonomous Driving

Large Model based Sequential Keyframe Extraction for Video Summarization

no code implementations10 Jan 2024 Kailong Tan, Yuxiang Zhou, Qianchen Xia, Rui Liu, Yong Chen

Keyframe extraction aims to sum up a video's semantics with the minimum number of its frames.

Video Summarization

Leveraging Generative AI for Clinical Evidence Summarization Needs to Ensure Trustworthiness

no code implementations19 Nov 2023 Gongbo Zhang, Qiao Jin, Denis Jered McInerney, Yong Chen, Fei Wang, Curtis L. Cole, Qian Yang, Yanshan Wang, Bradley A. Malin, Mor Peleg, Byron C. Wallace, Zhiyong Lu, Chunhua Weng, Yifan Peng

Evidence-based medicine promises to improve the quality of healthcare by empowering medical decisions and practices with the best available evidence.

Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources

no code implementations10 May 2023 Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang

By offering a more comprehensive approach to healthcare data integration, patchwork learning has the potential to revolutionize the clinical applicability of ML models.

Data Integration

PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning

no code implementations17 Apr 2023 Rui Liu, Bin Yin, Ziyi Cao, Qianchen Xia, Yong Chen, Dell Zhang

Personalized news recommender systems help users quickly find content of their interests from the sea of information.

Contrastive Learning News Recommendation +1

Scene Graph Based Fusion Network For Image-Text Retrieval

no code implementations20 Mar 2023 Guoliang Wang, Yanlei Shang, Yong Chen

A critical challenge to image-text retrieval is how to learn accurate correspondences between images and texts.

Image-text Retrieval Text Retrieval

FedScore: A privacy-preserving framework for federated scoring system development

1 code implementation1 Mar 2023 Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu

We also calculated the average AUC values and SDs for each local model, and the FedScore model showed promising accuracy and stability with a high average AUC value which was closest to the one of the pooled model and SD which was lower than that of most local models.

Federated Learning Model Selection +2

Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework

no code implementations11 Jan 2023 Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen

Graph convolutional networks (GCNs) have been attracting widespread attentions due to their encouraging performance and powerful generalizations.

A Survey on Knowledge-Enhanced Pre-trained Language Models

no code implementations27 Dec 2022 Chaoqi Zhen, Yanlei Shang, Xiangyu Liu, Yifei Li, Yong Chen, Dell Zhang

Natural Language Processing (NLP) has been revolutionized by the use of Pre-trained Language Models (PLMs) such as BERT.

Two-stage Hypothesis Tests for Variable Interactions with FDR Control

no code implementations31 Aug 2022 Jingyi Duan, Yang Ning, Xi Chen, Yong Chen

In many scenarios such as genome-wide association studies where dependences between variables commonly exist, it is often of interest to infer the interaction effects in the model.

Vocal Bursts Valence Prediction

Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing

no code implementations17 Feb 2022 Yi Nian, Xinyue Hu, Rui Zhang, Jingna Feng, Jingcheng Du, Fang Li, Yong Chen, Cui Tao

The 1, 672, 110 filtered triples were used to train with knowledge graph completion algorithms (i. e., TransE, DistMult, and ComplEx) to predict candidates that might be helpful for AD treatment or prevention.

Graph Mining

Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources

no code implementations28 Sep 2021 Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang

Objectives: This paper develops two algorithms to achieve federated generalized linear mixed effect models (GLMM), and compares the developed model's outcomes with each other, as well as that from the standard R package (`lme4').

Federated Learning

Multiplex Graph Networks for Multimodal Brain Network Analysis

1 code implementation31 Jul 2021 Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He

In this paper, we propose MGNet, a simple and effective multiplex graph convolutional network (GCN) model for multimodal brain network analysis.

Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting

no code implementations16 Jul 2021 Yilin Liu, Yong Chen, Pew-Thian Yap

Magnetic resonance Fingerprinting (MRF) is a relatively new multi-parametric quantitative imaging method that involves a two-step process: (i) reconstructing a series of time frames from highly-undersampled non-Cartesian spiral k-space data and (ii) pattern matching using the time frames to infer tissue properties (e. g., T1 and T2 relaxation times).

Magnetic Resonance Fingerprinting

The Federated Tumor Segmentation (FeTS) Challenge

2 code implementations12 May 2021 Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel Marcus, Mikhail Milchenko, Arash Nazer, Hassan Fathallah-Shaykh, Roland Wiest, Andras Jakab, Marc-Andre Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern Menze, Klaus Maier-Hein, Spyridon Bakas

The goals of the FeTS challenge are directly represented by the two included tasks: 1) the identification of the optimal weight aggregation approach towards the training of a consensus model that has gained knowledge via federated learning from multiple geographically distinct institutions, while their data are always retained within each institution, and 2) the federated evaluation of the generalizability of brain tumor segmentation models "in the wild", i. e. on data from institutional distributions that were not part of the training datasets.

Brain Tumor Segmentation Federated Learning +2

Federated Multi-View Learning for Private Medical Data Integration and Analysis

no code implementations4 May 2021 Sicong Che, Hao Peng, Lichao Sun, Yong Chen, Lifang He

This paper aims to provide a generic Federated Multi-View Learning (FedMV) framework for multi-view data leakage prevention, which is based on different types of local data availability and enables to accommodate two types of problems: Vertical Federated Multi-View Learning (V-FedMV) and Horizontal Federated Multi-View Learning (H-FedMV).

Data Integration Federated Learning +2

Solving localized wave solutions of the derivative nonlinear Schrodinger equation using an improved PINN method

no code implementations21 Jan 2021 Juncai Pu, Jun Li, Yong Chen

On the bases of the improved method, the effects for different numbers of initial points sampled, residual collocation points sampled, network layers, neurons per hidden layer on the second order genuine rational soliton solution dynamics of the DNLS are considered, and the relevant analysis when the locally adaptive activation function chooses different initial values of scalable parameters are also exhibited in the simulation of the two-order rogue wave solution.

Pattern Formation and Solitons Exactly Solvable and Integrable Systems

Combining Cox Regressions Across a Heterogeneous Distributed Research Network Facing Small and Zero Counts

no code implementations5 Jan 2021 Martijn J. Schuemie, Yong Chen, David Madigan, Marc A. Suchard

Studies of the effects of medical interventions increasingly take place in distributed research settings using data from multiple clinical data sources including electronic health records and administrative claims.

Methodology

Efficient Robust Watermarking Based on Quaternion Singular Value Decomposition and Coefficient Pair Selection

no code implementations6 Nov 2020 Yong Chen, Zhi-Gang Jia, Ya-Xin Peng, Yan Peng

In this way, compared with conventional QSVD, the proposed watermarking strategy avoids more modifications to a single color image layer and a better visual quality of the watermarked image is observed.

Vision-Based Fall Event Detection in Complex Background Using Attention Guided Bi-directional LSTM

no code implementations24 Jun 2020 Yong Chen, Lu Wang, Jiajia Hu, Mingbin Ye

Fall event detection, as one of the greatest risks to the elderly, has been a hot research issue in the solitary scene in recent years.

Event Detection

Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization

no code implementations6 Jan 2020 Wei He, Yong Chen, Naoto Yokoya, Chao Li, Qibin Zhao

In this paper, we propose a new model, named coupled tensor ring factorization (CTRF), for HSR.

Super-Resolution

Deciphering hierarchical organization of topologically associated domains through change-point testing

no code implementations24 Nov 2019 Haipeng Xing, Yingru Wu, Yong Chen, Michael Zhang

Background: The nucleus of eukaryotic cells spatially packages chromosomes into a hierarchical and distinct segregation that plays critical roles in maintaining transcription regulation.

Applications Methodology

Regularized Non-negative Spectral Embedding for Clustering

no code implementations1 Nov 2019 Yifei Wang, Rui Liu, Yong Chen, Hui Zhangs, Zhiwen Ye

Spectral Clustering is a popular technique to split data points into groups, especially for complex datasets.

Clustering

Data Centers Job Scheduling with Deep Reinforcement Learning

no code implementations16 Sep 2019 Sisheng Liang, Zhou Yang, Fang Jin, Yong Chen

Efficient job scheduling on data centers under heterogeneous complexity is crucial but challenging since it involves the allocation of multi-dimensional resources over time and space.

reinforcement-learning Reinforcement Learning (RL) +1

Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning

no code implementations6 Jul 2019 Jingcheng Du, Chongliang Luo, Qiang Wei, Yong Chen, Cui Tao

In this study, we proposed a convolutional neural network model for gender prediction using English Twitter text as input.

Gender Prediction

Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models

1 code implementation5 Mar 2019 Ray Bai, Gemma E. Moran, Joseph Antonelli, Yong Chen, Mary R. Boland

We introduce the spike-and-slab group lasso (SSGL) for Bayesian estimation and variable selection in linear regression with grouped variables.

Methodology

A Self-Organizing Tensor Architecture for Multi-View Clustering

no code implementations18 Oct 2018 Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang

In many real-world applications, data are often unlabeled and comprised of different representations/views which often provide information complementary to each other.

Clustering

Factorized Q-Learning for Large-Scale Multi-Agent Systems

no code implementations11 Sep 2018 Yong Chen, Ming Zhou, Ying Wen, Yaodong Yang, Yufeng Su, Wei-Nan Zhang, Dell Zhang, Jun Wang, Han Liu

Deep Q-learning has achieved a significant success in single-agent decision making tasks.

Multiagent Systems

Stock assessment for the western winter-spring cohort of neon flying squid (Ommastrephes bartramii) using environmentally dependent surplus production models

no code implementations Scientia Marina 2016 Jintao Wang, Wei Yu, Xinjun Chen, Yong Chen

Because this squid has a short lifespan and is an ecological opportunist, the dynamics of its stock is greatly influenced by the environmental conditions, which need to be considered in its assessment and management.

Management

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