World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
9889
World Ranking
10003
National Ranking
401

Overview

Hui Jiang is affiliated with York University in Canada and has contributed extensively to the field of computer science, particularly focusing on artificial intelligence, computer vision and pattern recognition, and information systems. Their research portfolio includes topics such as topic modeling, natural language processing techniques, handwritten text recognition techniques, advanced neural network applications, sentiment analysis and opinion mining, text and document classification technologies, and mathematical and theoretical epidemiology and ecology models.

The scientist's recent papers reflect a range of contributions to diverse areas. Notable publications include:

  • Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning, 2021, Artificial Intelligence
  • Customized Federated Learning for accelerated edge computing with heterogeneous task targets, 2020, Computer Networks
  • A study of regional homogeneity of resting-state Functional Magnetic Resonance Imaging in mild cognitive impairment, 2021, Behavioural Brain Research
  • Dynamical behaviors of a heroin population model with standard incidence rates between distinct patches, 2021, Journal of the Franklin Institute
  • On Approximation Capabilities of ReLU Activation and Softmax Output Layer in Neural Networks, 2020, arXiv (Cornell University)

Hui Jiang often collaborates with a core group of researchers, including:

  • Jinsong Su
  • Yubin Ge
  • Linfeng Song
  • Yunlu Xu
  • Zhanzhan Cheng

Their frequent publication venues indicate a focus on foundational and applied computer science outlets with multiple publications in arXiv (Cornell University), as well as contributions in Applied Ecology and Environmental Research, Artificial Intelligence, Computer Networks, and Behavioural Brain Research.

Their work spans 41 publications in computer science, with 21 of those specifically related to artificial intelligence. Other significant subfields include computer vision and pattern recognition (13 publications), information systems (4 publications), plant science (4 publications), and radiology, nuclear medicine, and imaging (3 publications).

Best Publications

  • Convolutional neural networks for speech recognition

    Ossama Abdel-Hamid;Abdel-Rahman Mohamed;Hui Jiang;Li Deng

  • Enhanced LSTM for Natural Language Inference

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

  • Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition

    Ossama Abdel-Hamid;Abdel-rahman Mohamed;Hui Jiang;Gerald Penn

  • Confidence measures for speech recognition: A survey

    Hui Jiang

  • Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code

    Ossama Abdel-Hamid;Hui Jiang

  • Generating images with recurrent adversarial networks

    Daniel Jiwoong Im;Chris Dongjoo Kim;Hui Jiang;Roland Memisevic

  • Large margin hidden Markov models for speech recognition

    Hui Jiang;Xinwei Li;Chaojun Liu

  • Fast adaptation of deep neural network based on discriminant codes for speech recognition

    Shaofei Xue;Ossama Abdel-Hamid;Hui Jiang;Lirong Dai

  • Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints

    Quan Liu;Hui Jiang;Si Wei;Zhen-Hua Ling

  • A Local Detection Approach for Named Entity Recognition and Mention Detection

    Mingbin Xu;Hui Jiang;Sedtawut Watcharawittayakul

  • Investigation of deep neural networks (DNN) for large vocabulary continuous speech recognition: Why DNN surpasses GMMS in acoustic modeling

    Jia Pan;Cong Liu;Zhiguo Wang;Yu Hu

  • Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference.

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

  • Discriminative training of HMMs for automatic speech recognition: A survey

    Hui Jiang

  • Distraction-based neural networks for modeling documents

    Qian Chen;Xiaodan Zhu;Zhenhua Ling;Si Wei

  • Discriminative training of language models for speech recognition

    Hong-Kwang Jeff Kuo;Eric Fosler-Lussier;Hui Jiang;Chin-Hui Lee

  • Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

  • Probabilistic Reasoning via Deep Learning: Neural Association Models.

    Quan Liu;Hui Jiang;Zhen-Hua Ling;Si Wei

  • Distraction-Based Neural Networks for Document Summarization.

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

  • Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks

    Yangtuo Peng;Hui Jiang

  • The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models

    ShiLiang Zhang;Hui Jiang;MingBin Xu;JunFeng Hou

  • Robust speech recognition based on a Bayesian prediction approach

    Hui Jiang;K. Hirose;Qiang Huo

  • A Bayesian predictive classification approach to robust speech recognition

    Qiang Huo;Hui Jiang;Chin-Hui Lee

Frequent Co-Authors

Li-Rong Dai
Li-Rong Dai University of Science and Technology of China
Zhen-Hua Ling
Zhen-Hua Ling University of Science and Technology of China
Xiaodan Zhu
Xiaodan Zhu Queen's University
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Frank K. Soong
Frank K. Soong Microsoft Research Asia (China)
Li Deng
Li Deng Citadel
Diana Inkpen
Diana Inkpen University of Ottawa
Qian-Jie Fu
Qian-Jie Fu University of California, Los Angeles
Jun Du
Jun Du University of Science and Technology of China
Andrew Emili
Andrew Emili Boston University

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