Zheng Yan

About Zheng Yan

Zheng Yan, With an exceptional h-index of 30 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Technology, specializes in the field of model predictive control, neural networks, deep learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adaptive multi-view subspace learning based on distributed optimization

Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering

Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints

Disentangling Stochastic PDE Dynamics for Unsupervised Video Prediction

Improving proximal policy optimization with alpha divergence

Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health

A survey on the control lyapunov function and control barrier function for nonlinear-affine control systems

Game Physics Engine Using Optimised Geometric Algebra RISC-V Vector Extensions Code Using Fourier Series Data

Zheng Yan Information

University

Position

___

Citations(all)

3621

Citations(since 2020)

2770

Cited By

1847

hIndex(all)

30

hIndex(since 2020)

30

i10Index(all)

47

i10Index(since 2020)

43

Email

University Profile Page

Google Scholar

Zheng Yan Skills & Research Interests

model predictive control

neural networks

deep learning

Top articles of Zheng Yan

Title

Journal

Author(s)

Publication Date

Adaptive multi-view subspace learning based on distributed optimization

Internet of Things

Wei Guo

Hangjun Che

Man-Fai Leung

Zheng Yan

2024/4/23

Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering

Signal Processing

Yuzhu Dong

Hangjun Che

Man-Fai Leung

Cheng Liu

Zheng Yan

2024/4/1

Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints

Information Sciences

Chenglu Li

Hangjun Che

Man-Fai Leung

Cheng Liu

Zheng Yan

2023/7/1

Disentangling Stochastic PDE Dynamics for Unsupervised Video Prediction

IEEE Transactions on Neural Networks and Learning Systems

Xinheng Wu

Jie Lu

Zheng Yan

Guangquan Zhang

2023/6/27

Improving proximal policy optimization with alpha divergence

Neurocomputing

Haotian Xu

Zheng Yan

Junyu Xuan

Guangquan Zhang

Jie Lu

2023/5/14

Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health

Zhencheng Fan

Zheng Yan

Shiping Wen

2023/9/8

A survey on the control lyapunov function and control barrier function for nonlinear-affine control systems

IEEE/CAA Journal of Automatica Sinica

Boqian Li

Shiping Wen

Zheng Yan

Guanghui Wen

Tingwen Huang

2023/3/1

Game Physics Engine Using Optimised Geometric Algebra RISC-V Vector Extensions Code Using Fourier Series Data

Ed Saribatir

Niko Zurstraßen

Dietmar Hildenbrand

Florian Stock

Atilio Morillo Piña

...

2023/8/28

Tensor factorization with sparse and graph regularization for fake news detection on social networks

IEEE Transactions on Computational Social Systems

Hangjun Che

Baicheng Pan

Man-Fai Leung

Yuting Cao

Zheng Yan

2023/7/26

Efficient spectral graph convolutional network deployment on memristive crossbars

IEEE Transactions on Emerging Topics in Computational Intelligence

Bo Lyu

Maher Hamdi

Yin Yang

Yuting Cao

Zheng Yan

...

2022/10/13

Robust gaussian process regression with input uncertainty: A pac-bayes perspective

IEEE Transactions on Cybernetics

Tianyu Liu

Jie Lu

Zheng Yan

Guangquan Zhang

2022/8/9

A quantile fusion methodology for deep forecasting

Neurocomputing

Bin Wang

Jie Lu

Tianrui Li

Zheng Yan

Guangquan Zhang

2022/4/28

Signal processing method and apparatus based on spiking neural network

2022/4/19

Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making

arXiv preprint arXiv:2210.08486

Tianyu Liu

Jie Lu

Zheng Yan

Guangquan Zhang

2022/10/16

TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework

arXiv preprint arXiv:2111.03892

Bo Lyu

Shiping Wen

2021/11/6

Physics-informed generative neural network: an application to troposphere temperature prediction

Environmental Research Letters

Zhihao Chen

Jie Gao

Weikai Wang

Zheng Yan

2021/5/26

PAC-Bayes bounds for meta-learning with data-dependent prior

arXiv preprint arXiv:2102.03748

Tianyu Liu

Jie Lu

Zheng Yan

Guangquan Zhang

2021/2/7

Channel-wise knowledge distillation for dense prediction

Changyong Shu

Yifan Liu

Jianfei Gao

Zheng Yan

Chunhua Shen

2021

Statistical generalization performance guarantee for meta-learning with data dependent prior

Neurocomputing

Tianyu Liu

Jie Lu

Zheng Yan

Guangquan Zhang

2021/11/20

Orthogonal super greedy learning for sparse feedforward neural networks

IEEE Transactions on Network Science and Engineering

Lin Xu

Xiangyong Cao

Jing Yao

Zheng Yan

2020/10/23

See List of Professors in Zheng Yan University(University of Technology)

Co-Authors

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