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Computer Science

D-Index
53
Citations
11911
World Ranking
4808
National Ranking
643

Overview

Shiliang Sun is affiliated with East China Normal University in China, contributing extensively to the field of computer science. Their research spans a broad range of topics within artificial intelligence, computer vision, and signal processing.

The primary fields of study associated with Shiliang Sun include:

  • Computer Science

The main subfields of study in which they have published are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Control and Systems Engineering
  • Media Technology

Key research topics covered by their work include:

  • Anomaly Detection Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Face and Expression Recognition
  • Adversarial Robustness in Machine Learning
  • Gaussian Processes and Bayesian Inference
  • Text and Document Classification Technologies
  • Advanced Neural Network Applications

Shiliang Sun has contributed to several recent papers in well-regarded venues. Notable publications include:

  • "A Survey on Multiview Clustering," 2021, IEEE Transactions on Artificial Intelligence
  • "MST-GAT: A multimodal spatial-temporal graph attention network for time series anomaly detection," 2022, Information Fusion
  • "Incomplete multi-view clustering with cosine similarity," 2021, Pattern Recognition
  • "TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning," 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • "Multi-View Representation Learning With Deep Gaussian Processes," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

The frequent co-authors collaborating with Shiliang Sun include:

  • Jing Zhao
  • Jun Yin
  • Nan Zhang
  • Daoming Zong
  • Wenbo Dong

They have published repeatedly in several scientific venues known for contributions in AI and machine learning, including:

  • Information Fusion
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering

Best Publications

  • Multi-view learning overview

    Jing Zhao;Xijiong Xie;Xin Xu;Shiliang Sun

  • A survey of multi-view machine learning

    Shiliang Sun

  • A bayesian network approach to traffic flow forecasting

    Shiliang Sun;Changshui Zhang;Guoqiang Yu

  • A Survey of Optimization Methods From a Machine Learning Perspective

    Shiliang Sun;Zehui Cao;Han Zhu;Jing Zhao

  • A review of natural language processing techniques for opinion mining systems

    Shiliang Sun;Chen Luo;Junyu Chen

  • A survey of multi-source domain adaptation

    Shiliang Sun;Honglei Shi;Yuanbin Wu

  • A review of optimization methodologies in support vector machines

    John Shawe-Taylor;Shiliang Sun

  • An adaptive k-nearest neighbor algorithm

    Shiliang Sun;Rongqing Huang

  • Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction

    Shiliang Sun;Xin Xu

  • An experimental evaluation of ensemble methods for EEG signal classification

    Shiliang Sun;Changshui Zhang;Dan Zhang

  • Multiview Uncorrelated Discriminant Analysis

    Shiliang Sun;Xijiong Xie;Mo Yang

  • Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks

    Shiliang Sun;Rongqing Huang;Ya Gao

  • A Survey on Multi-View Clustering

    Guoqing Chao;Shiliang Sun;Jinbo Bi

  • Adaptive feature extraction for EEG signal classification.

    Shiliang Sun;Changshui Zhang

  • A subject transfer framework for EEG classification

    Wenting Tu;Shiliang Sun

  • Multi-view laplacian support vector machines

    Shiliang Sun

  • Consensus and complementarity based maximum entropy discrimination for multi-view classification

    Guoqing Chao;Shiliang Sun

  • Joint Type Inference on Entities and Relations via Graph Convolutional Networks.

    Changzhi Sun;Yeyun Gong;Yuanbin Wu;Ming Gong

  • PAC-bayes bounds with data dependent priors

    Emilio Parrado-Hernández;Amiran Ambroladze;John Shawe-Taylor;Shiliang Sun

  • Sparse Semi-supervised Learning Using Conjugate Functions

    Shiliang Sun;John Shawe-Taylor

  • Multitask learning for EEG-based biometrics

    Shiliang Sun

  • Multitask twin support vector machines

    Xijiong Xie;Shiliang Sun

Frequent Co-Authors

Changshui Zhang
Changshui Zhang Tsinghua University
John Shawe-Taylor
John Shawe-Taylor University College London
Xiao Liu
Xiao Liu Deakin University
Qi Zhang
Qi Zhang Fudan University
John Paisley
John Paisley Columbia University
Csaba Szepesvári
Csaba Szepesvári University of Alberta
Daxin Jiang
Daxin Jiang Microsoft (United States)
Dongbin Zhao
Dongbin Zhao Chinese Academy of Sciences
Simon X. Yang
Simon X. Yang University of Guelph
Haibo He
Haibo He University of Rhode Island

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