World's Best Scientists 2026 revealed!

Overview

Jian Yu is affiliated with Beijing Jiaotong University in China and has contributed extensively to the field of computer science. Their research covers a variety of specialized areas, including artificial intelligence, computer vision and pattern recognition, molecular biology, information systems, and control and systems engineering.

The scientist's work spans several key topics, reflecting a multidisciplinary approach. These topics include recommender systems and techniques, bioinformatics and genomic networks, multimodal machine learning applications, human pose and action recognition, computational drug discovery methods, advanced graph neural networks, and topic modeling.

Jian Yu has published in several academic venues, with a noticeable frequency in the following:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Food Chemistry
  • Journal of Physics Conference Series
  • IEEE Transactions on Multimedia

Their recent papers include:

  • "Deep Reinforcement Polishing Network for Video Captioning," 2020, IEEE Transactions on Multimedia
  • "PDGNet: Predicting Disease Genes Using a Deep Neural Network With Multi-View Features," 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • "Bridging Video and Text: A Two-Step Polishing Transformer for Video Captioning," 2022, IEEE Transactions on Circuits and Systems for Video Technology
  • "Label-Aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification," 2021, Neural Processing Letters
  • "HTINet2: herb-target prediction via knowledge graph embedding and residual-like graph neural network," 2024, Briefings in Bioinformatics

Jian Yu has collaborated frequently with several coauthors, including:

  • Xuezhong Zhou
  • Jitao Sang
  • Kuo Yang
  • Liping Jing
  • Xiaowen Huang

Best Publications

  • Traffic Flow Prediction via Spatial Temporal Graph Neural Network

    Xiaoyang Wang;Yao Ma;Yiqi Wang;Wei Jin

  • Otsu Method and K-means

    Dongju Liu;Jian Yu

  • Analysis of the weighting exponent in the FCM

    Jian Yu;Qiansheng Cheng;Houkuan Huang

  • Saliency Detection by Multitask Sparsity Pursuit

    Congyan Lang;Guangcan Liu;Jian Yu;Shuicheng Yan

  • Restoration of images corrupted by mixed Gaussian-impulse noise via l1-l0 minimization

    Yu Xiao;Tieyong Zeng;Jian Yu;Michael K. Ng

  • Optimality test for generalized FCM and its application to parameter selection

    Jian Yu;Miin-Shen Yang

  • A Kernel-Power-Density-Based Algorithm for Channel Multipath Components Clustering

    Ruisi He;Qingyong Li;Bo Ai;Yang Li-Ao Geng

  • A Dictionary Learning Approach for Poisson Image Deblurring

    Liyan Ma;L. Moisan;Jian Yu;Tieyong Zeng

  • Clustering Enabled Wireless Channel Modeling Using Big Data Algorithms

    Ruisi He;Bo Ai;Andreas F. Molisch;Gordon L. Stuber

  • A New Improved K-Means Algorithm with Penalized Term

    Zejin Ding;Jian Yu;Yan-Qing Zhang

  • A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests

    Kuo-Lung Wu;Jian Yu;Miin-Shen Yang

  • Alpha-Cut Implemented Fuzzy Clustering Algorithms and Switching Regressions

    Miin-Shen Yang;Kuo-Lung Wu;June-Nan Hsieh;Jian Yu

  • Semi-supervised low-rank mapping learning for multi-label classification

    Liping Jing;Liu Yang;Jian Yu;Michael K. Ng

  • A Generalized Fuzzy Clustering Regularization Model With Optimality Tests and Model Complexity Analysis

    Jian Yu;Miin-Shen Yang

  • Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning

    Liu Yang;Liping Jing;Jian Yu;Michael K. Ng

  • On the Clustering of Radio Channel Impulse Responses Using Sparsity-Based Methods

    Ruisi He;Wei Chen;Bo Ai;Andreas F. Molisch

  • An efficient community detection method based on rank centrality

    Yawen Jiang;Caiyan Jia;Jian Yu

  • A parameter-free community detection method based on centrality and dispersion of nodes in complex networks

    Yafang Li;Caiyan Jia;Jian Yu

  • Node Attribute-enhanced Community Detection in Complex Networks

    Caiyan Jia;Yafang Li;Matthew B. Carson;Xiaoyang Wang

  • Concept decompositions for short text clustering by identifying word communities

    Caiyan Jia;Matthew B. Carson;Xiaoyang Wang;Jian Yu

Frequent Co-Authors

Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Zhouchen Lin
Zhouchen Lin Peking University
Tieyong Zeng
Tieyong Zeng Chinese University of Hong Kong
Miin-Shen Yang
Miin-Shen Yang Chung Yuan Christian University
Qiang Ji
Qiang Ji Rensselaer Polytechnic Institute
Yuhua Qian
Yuhua Qian Shanxi University
Shuicheng Yan
Shuicheng Yan National University of Singapore
Jiliang Tang
Jiliang Tang Michigan State University
Xiangliang Zhang
Xiangliang Zhang University of Notre Dame
Michael W. Mahoney
Michael W. Mahoney University of California, Berkeley

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