Ming Li

Orcid: 0000-0002-1218-2804

Affiliations:

Zhejiang Normal University, Department of Computer Science, Jinhua, China
South China Normal University, School of Information Technology in Education, Guangzhou, China
La Trobe University, Department of Computer Science and Information Technology, Melbourne, VIC , Australia (PhD)

According to our database¹, Ming Li authored at least 155 papers between 2008 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Graph Neural Networks for Graphs With Heterophily: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2026

HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily.

[BibT_eX]

[DOI]

CoRR, May, 2026

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era.

[BibT_eX]

[DOI]

CoRR, April, 2026

Inconsistency-Aware Graph Convolutional Networks for Multi-View Classification.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., February, 2026

QIIS: Quaternion Inter- and Intra-Task Interaction Strategy for Multi-Task Dense Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Consumer Electron., February, 2026

Deeper Insights Into Deep Graph Convolutional Networks: Stability and Generalization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

Graph neural networks with dynamic similarity fusion for social recommendation.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., January, 2026

PEFuse: Progressive Emphasis of Dual-Frequency Feature for Infrared and Visible Image Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2026

Affinity maximization learning for unsupervised deep visual graph matching.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

VQIT-GNN: A collaborative knowledge transfer for node-level structure imbalance.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

ED-SAM: Sharpness-aware minimization with energy-adjusted perturbations and direction-corrected updates.

[BibT_eX]

[DOI]

Neural Networks, 2026

AutoSGRL: Automated framework construction for self-supervised graph representation learning.

[BibT_eX]

[DOI]

Neural Networks, 2026

M2GRec: An efficient sequential recommendation model combining mamba and multi-task graph learning.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2026

Augmented reality and generative learning in K-12 writing: Performance outcomes and the mediating roles of motivation and metacognition.

[BibT_eX]

[DOI]

Comput. Educ., 2026

Stability-aware robust deep graph matching with outliers.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2026

From local to global: Hypergraph neural networks with holistic message passing.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2026

Adaptive multi-view subspace clustering with dynamic prior update.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2026

SSHPool: The Separated Subgraph-based Hierarchical Pooling.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Permutation Equivariant Framelet-based Hypergraph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SFCANet: Channel Attention in Spatial-Frequency Domain for Infrared Small Target Detection.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., October, 2025

On Learning Label Noise Robust Networks via Regularization: A Topological View.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2025

MM-Tracker: Visual Tracking With A Multi-Task Model Integrating Detection and Differentiating Feature Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., August, 2025

SODSR: A Three-Stage Small Object Detection via Super-Resolution Using Optimizing Combination.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

Correlation Information Enhanced Graph Anomaly Detection via Hypergraph Transformation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., June, 2025

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction.

[BibT_eX]

[DOI]

CoRR, June, 2025

Semantic-spatial feature-fused cortical surface parcellation: a scale-unified spatial learning network with boundary contrastive loss.

[BibT_eX]

[DOI]

Medical Biol. Eng. Comput., April, 2025

Understanding the dynamics of motivation and learning behaviors in augmented reality-based writing courses.

[BibT_eX]

[DOI]

Educ. Inf. Technol., April, 2025

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2025

Out-of-Distribution Detection on Graphs: A Survey.

[BibT_eX]

[DOI]

CoRR, February, 2025

A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2025

Examining the Fourier Spectrum of Speech Signal From a Time-Frequency Perspective for Automatic Depression Level Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2025

FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Collaborative graph neural networks for augmented graphs: A local-to-global perspective.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

A feature reuse framework with texture-adaptive aggregation for reference-based super-resolution.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

MPCM-RRG: Multi-modal Prompt Collaboration Mechanism for Radiology Report Generation.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2025

Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation.

[BibT_eX]

[DOI]

Inf. Sci., 2025

ReFNet: Rehearsal-based graph lifelong learning with multi-resolution framelet graph neural networks.

[BibT_eX]

[DOI]

Inf. Sci., 2025

Bidirectional distance encoding for graph neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2025

HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Test-Time Graph Neural Dataset Search With Generative Projection.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Hierarchical Graph Learning Framework for Multimodal Conversational Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

SPADE: Spatial-Aware Denoising Network for Open-Vocabulary Panoptic Scene Graph Generation with Long- and Local-Range Context Reasoning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

High-Variance Graph Framelets for Heterophilous Graph Learning.

[BibT_eX]

[DOI]

Ruigang Zheng

Ming Li

Xiaosheng Zhuang

Proceedings of the 2025 IEEE International Conference on Knowledge Graph (ICKG), 2025

SVVR-Enhanced Cultural Learning: Relationship Between Students' Sense of Presence and Motivation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2025

eBASE: Real-Time Battery Swap Recommendation System for eBike Users.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2025

Propensity Scoring for Multi-Instance Partial-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Deep Hypergraph Neural Networks with Tight Framelets.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

EduGraph: Learning Path-Based Hypergraph Neural Networks for MOOC Course Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, December, 2024

XKT: Toward Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., November, 2024

Permutation Equivariant Graph Framelets for Heterophilous Graph Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Robust graph neural networks with Dirichlet regularization and residual connection.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., September, 2024

Framelet-based dual hypergraph neural networks for student performance prediction.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., September, 2024

Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction.

[BibT_eX]

[DOI]

Inf. Fusion, May, 2024

Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications.

[BibT_eX]

[DOI]

Giorgio Stefano Gnecco

Marcello Sanguineti

IEEE Trans. Neural Networks Learn. Syst., April, 2024

A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., April, 2024

Unleashing imagination: an effective pedagogical approach to integrate into spherical video-based virtual reality to improve students' creative writing.

[BibT_eX]

[DOI]

Yu-Ting Chen

Ming Li

Mutlu Cukurova

Educ. Inf. Technol., April, 2024

A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., March, 2024

Incorporation of peer-feedback into the pedagogical use of spherical video-based virtual reality in writing education.

[BibT_eX]

[DOI]

Br. J. Educ. Technol., March, 2024

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., February, 2024

A joint parcellation and boundary network with multi-rate-shared dilated graph attention for cortical surface parcellation.

[BibT_eX]

[DOI]

Medical Biol. Eng. Comput., February, 2024

QBER: Quantum-based Entropic Representations for un-attributed graphs.

[BibT_eX]

[DOI]

Pattern Recognit., January, 2024

A Systematic Review of Research on Immersive Technology-Enhanced Writing Education: The Current State and a Research Agenda.

[BibT_eX]

[DOI]

IEEE Trans. Learn. Technol., 2024

AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

PointTransform Networks for automatic depression level prediction via facial keypoints.

[BibT_eX]

[DOI]

Mingyue Niu

Ming Li

Changzeng Fu

Knowl. Based Syst., 2024

EduCross: Dual adversarial bipartite hypergraph learning for cross-modal retrieval in multimodal educational slides.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

ConsistencyDet: A Robust Object Detector with a Denoising Paradigm of Consistency Model.

[BibT_eX]

[DOI]

CoRR, 2024

Real-time E-bike Route Planning with Battery Range Prediction.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

QBMK: Quantum-based Matching Kernels for Un-attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation.

[BibT_eX]

[DOI]

Pattern Recognit., December, 2023

Triplet teaching graph contrastive networks with self-evolving adaptive augmentation.

[BibT_eX]

[DOI]

Pattern Recognit., October, 2023

A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation.

[BibT_eX]

[DOI]

Inf. Process. Manag., September, 2023

From motivational experience to creative writing: A motivational AR-based learning approach to promoting Chinese writing performance and positive writing behaviours.

[BibT_eX]

[DOI]

Comput. Educ., September, 2023

Multiple Pedestrian Tracking With Graph Attention Map on Urban Road Scene.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., August, 2023

Privacy-preserving federated learning framework in multimedia courses recommendation.

[BibT_eX]

[DOI]

Yangjie Qin

Ming Li

Jia Zhu

Wirel. Networks, May, 2023

Are Graph Convolutional Networks With Random Weights Feasible?

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Revisiting graph neural networks from hybrid regularized graph signal reconstruction.

[BibT_eX]

[DOI]

Neural Networks, 2023

MathNet: Haar-like wavelet multiresolution analysis for graph representation learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

A disentangled linguistic graph model for explainable aspect-based sentiment analysis.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2023

AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks.

[BibT_eX]

[DOI]

CoRR, 2023

Stability and Generalization of lp-Regularized Stochastic Learning for GCN.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Global-and-Local Feature Fusion Network for Point Cloud Classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

How Powerful are Shallow Neural Networks with Bandlimited Random Weights?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Empowering IoT Predictive Maintenance Solutions With AI: A Distributed System for Manufacturing Plant-Wide Monitoring.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2022

Embedding graphs on Grassmann manifold.

[BibT_eX]

[DOI]

Neural Networks, 2022

Parallel incremental efficient attribute reduction algorithm based on attribute tree.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Deep multi-graph neural networks with attention fusion for recommendation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Promoting deep writing with immersive technologies: An SVVR-supported Chinese composition writing approach for primary schools.

[BibT_eX]

[DOI]

Br. J. Educ. Technol., 2022

Multi-view graph convolutional networks with attention mechanism.

[BibT_eX]

[DOI]

Artif. Intell., 2022

Neural Network Model Reconstructed from Entangled Quantum States.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Feedforward Neural Network Reconstructed from High-order Quantum Systems.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Deeper Insights into Neural Nets with Random Weights.

[BibT_eX]

[DOI]

Ming Li

Giorgio Gnecco

Marcello Sanguineti

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021

Algorithm 1018: FaVeST - Fast Vector Spherical Harmonic Transforms.

[BibT_eX]

[DOI]

Quoc Thong Le Gia

Ming Li

Yu Guang Wang

ACM Trans. Math. Softw., 2021

2-D Stochastic Configuration Networks for Image Data Analytics.

[BibT_eX]

[DOI]

Ming Li

Dianhui Wang

IEEE Trans. Cybern., 2021

Stochastic configuration network ensembles with selective base models.

[BibT_eX]

[DOI]

Changqin Huang

Ming Li

Dianhui Wang

Neural Networks, 2021

Effective multiple pedestrian tracking system in video surveillance with monocular stationary camera.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming.

[BibT_eX]

[DOI]

CoRR, 2021

How Framelets Enhance Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020

Social participation of the elderly in China: The roles of conventional media, digital access and social media engagement.

[BibT_eX]

[DOI]

Telematics Informatics, 2020

rcosmo: R Package for Analysis of Spherical, HEALPix and Cosmological Data.

[BibT_eX]

[DOI]

Daniel Vidali Fryer

Ming Li

Andriy Olenko

R J., 2020

Fast Haar Transforms for Graph Neural Networks.

[BibT_eX]

[DOI]

Neural Networks, 2020

Exercise recommendation based on knowledge concept prediction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

On the Approximation Lower Bound for Neural Nets with Random Weights.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide.

[BibT_eX]

[DOI]

CoRR, 2020

Multiple Lesions Detection of Fundus Images Based on Convolution Neural Network Algorithm With Improved SFLA.

[BibT_eX]

[DOI]

IEEE Access, 2020

Path Integral Based Convolution and Pooling for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Haar Graph Pooling.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression.

[BibT_eX]

[DOI]

Ming Li

Changqin Huang

Dianhui Wang

Inf. Sci., 2019

HaarPooling: Graph Pooling with Compressive Haar Basis.

[BibT_eX]

[DOI]

CoRR, 2019

FaVeST: Fast Vector Spherical Harmonic Transforms.

[BibT_eX]

[DOI]

Quoc Thong Le Gia

Ming Li

Yu Guang Wang

CoRR, 2019

Fast Tensor Needlet Transforms for Tangent Vector Fields on the Sphere.

[BibT_eX]

[DOI]

CoRR, 2019

PAN: Path Integral Based Convolution for Deep Graph Neural Networks.

[BibT_eX]

[DOI]

Zheng Ma

Ming Li

Yu Guang Wang

CoRR, 2019

Improved randomized learning algorithms for imbalanced and noisy educational data classification.

[BibT_eX]

[DOI]

Computing, 2019

2018

Two Dimensional Stochastic Configuration Networks for Image Data Analytics.

[BibT_eX]

[DOI]

Ming Li

Dianhui Wang

CoRR, 2018

Deep Stochastic Configuration Networks with Universal Approximation Property.

[BibT_eX]

[DOI]

Dianhui Wang

Ming Li

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Stochastic Configuration Networks: Fundamentals and Algorithms.

[BibT_eX]

[DOI]

Dianhui Wang

Ming Li

IEEE Trans. Cybern., 2017

Robust stochastic configuration networks with kernel density estimation for uncertain data regression.

[BibT_eX]

[DOI]

Dianhui Wang

Ming Li

Inf. Sci., 2017

Insights into randomized algorithms for neural networks: Practical issues and common pitfalls.

[BibT_eX]

[DOI]

Ming Li

Dianhui Wang

Inf. Sci., 2017

Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation.

[BibT_eX]

[DOI]

Dianhui Wang

Ming Li

CoRR, 2017

Building Robust Stochastic Configuration Networks with Kernel Density Estimation.

[BibT_eX]

[DOI]

Dianhui Wang

Ming Li

CoRR, 2017

2013

Catching the Genomic Wave in Oligonucleotide Single-Nucleotide Polymorphism Arrays by Modeling Sequence Binding.

[BibT_eX]

[DOI]

Yalu Wen

Ming Li

Wenjiang J. Fu

J. Comput. Biol., 2013

2008

On Design of Oligonucleotide SNP Arrays and Methods for Genotype Calling.

[BibT_eX]

[DOI]

Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

Ming Li

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