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Computer Science

D-Index
54
Citations
13363
World Ranking
4520
National Ranking
2117

Overview

Yixin Chen is affiliated with Washington University in St. Louis in the United States and specializes primarily in computer science. Their research includes significant work in molecular biology, artificial intelligence, information systems, computational theory and mathematics, and computer vision and pattern recognition.

The scientist has contributed extensively across topics such as bioinformatics and genomic networks, computational drug discovery methods, recommender systems and techniques, biomedical text mining and ontologies, caching and content delivery, complex network analysis techniques, and gene expression and cancer classification.

Notable recent publications include:

  • "Link Prediction Based on Graph Neural Networks," 2024, arXiv (Cornell University)
  • "Generative Artificial Intelligence GPT-4 Accelerates Knowledge Mining and Machine Learning for Synthetic Biology," 2023, ACS Synthetic Biology
  • "Predicting Anticancer Drug Response With Deep Learning Constrained by Signaling Pathways," 2021, Frontiers in Bioinformatics
  • "A dual-stage attention-based Bi-LSTM network for multivariate time series prediction," 2022, The Journal of Supercomputing
  • "DeepTSQP: Temporal-aware service QoS prediction via deep neural network and feature integration," 2021, Knowledge-Based Systems

Yixin Chen's frequent coauthors include:

  • Fuhai Li
  • Philip Payne
  • Guobing Zou
  • Yanglan Gan
  • Shengxiang Hu

Their research is often published in venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Services Computing
  • Knowledge-Based Systems

Best Publications

  • An End-to-End Deep Learning Architecture for Graph Classification

    Muhan Zhang;Zhicheng Cui;Marion Neumann;Yixin Chen

  • Link prediction based on graph neural networks

    Muhan Zhang;Yixin Chen

  • Compressing Neural Networks with the Hashing Trick

    Wenlin Chen;James Wilson;Stephen Tyree;Stephen Tyree;Kilian Weinberger

  • Density-based clustering for real-time stream data

    Yixin Chen;Li Tu

  • Multi-Scale Convolutional Neural Networks for Time Series Classification

    Zhicheng Cui;Wenlin Chen;Yixin Chen

  • Multi-dimensional regression analysis of time-series data streams

    Yixin Chen;Guozhu Dong;Jiawei Han;Benjamin W. Wah

  • Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems

    Chenyang Lu;Abusayeed Saifullah;Bo Li;Mo Sha

  • Real-Time Scheduling for WirelessHART Networks

    Abusayeed Saifullah;You Xu;Chenyang Lu;Yixin Chen

  • Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams

    Jiawei Han;Yixin Chen;Guozhu Dong;Jian Pei

  • Temporal planning using subgoal partitioning and resolution in SGPlan

    Yixin Chen;Benjamin W. Wah;Chih-Wei Hsu

  • Weisfeiler-Lehman Neural Machine for Link Prediction

    Muhan Zhang;Yixin Chen

  • Stream data clustering based on grid density and attraction

    Li Tu;Yixin Chen

  • Predicting Hospital Readmission via Cost-Sensitive Deep Learning

    Haishuai Wang;Zhicheng Cui;Yixin Chen;Michael Avidan

  • Near optimal rate selection for wireless control systems

    Abusayeed Saifullah;Chengjie Wu;Paras Babu Tiwari;You Xu

  • End-to-End Communication Delay Analysis in Industrial Wireless Networks

    Abusayeed Saifullah;You Xu;Chenyang Lu;Yixin Chen

  • Efficient ant colony optimization for image feature selection

    Bolun Chen;Ling Chen;Yixin Chen

  • Compressing Convolutional Neural Networks in the Frequency Domain

    Wenlin Chen;James Wilson;Stephen Tyree;Kilian Q. Weinberger

  • A trial of a real-time alert for clinical deterioration in patients hospitalized on general medical wards.

    Thomas C. Bailey;Yixin Chen;Yi Mao;Chenyang Lu

  • End-to-End Delay Analysis for Fixed Priority Scheduling in WirelessHART Networks

    Abusayeed Saifullah;You Xu;Chenyang Lu;Yixin Chen

  • Internet Hospitals in China: Cross-Sectional Survey

    Xiaoxu Xie;Weimin Zhou;Lingyan Lin;Si Fan

  • D-VAE: A Variational Autoencoder for Directed Acyclic Graphs

    Muhan Zhang;Shali Jiang;Zhicheng Cui;Roman Garnett

  • Compressing Convolutional Neural Networks.

    Wenlin Chen;James T. Wilson;Stephen Tyree;Kilian Q. Weinberger

Frequent Co-Authors

Chenyang Lu
Chenyang Lu Washington University in St. Louis
Benjamin W. Wah
Benjamin W. Wah Chinese University of Hong Kong
Kilian Q. Weinberger
Kilian Q. Weinberger Cornell University
Guozhu Dong
Guozhu Dong Wright State University
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Yang Xiang
Yang Xiang Swinburne University of Technology
Jian Pei
Jian Pei Duke University
Jianyong Wang
Jianyong Wang Tsinghua University
Yinjie J. Tang
Yinjie J. Tang Washington University in St. Louis
Guoliang Xing
Guoliang Xing Chinese University of Hong Kong

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