Ming Li

157 papers A* 34A 2B 4Misc 2Journal 111Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive multi-view subspace clustering with dynamic prior update.
Appl. Soft Comput.
Wenbin Gao, Hua Meng, Zhengchun Zhou, Ming Li, Ruibin Ren
2026 J jnl
Augmented reality and generative learning in K-12 writing: Performance outcomes and the mediating roles of motivation and metacognition.
Comput. Educ.
Ming Li, Xin-Xiang Wang, Yuting Chen, Mutlu Cukurova
2026 J jnl
AutoSGRL: Automated framework construction for self-supervised graph representation learning.
Neural Networks
Yu Xie, Yu Chang, Ming Li, A. K. Qin, Xialei Zhang
2026 J jnl
Deeper Insights Into Deep Graph Convolutional Networks: Stability and Generalization.
IEEE Trans. Pattern Anal. Mach. Intell.
Guangrui Yang, Ming Li, Han Feng, Xiaosheng Zhuang
2026 J jnl
From local to global: Hypergraph neural networks with holistic message passing.
Appl. Soft Comput.
Yongchun Gu, Yi Wang, Xinxiang Wang, Jiayi Mao, Haodi Li, Ming Li
2026 J jnl
Graph neural networks with dynamic similarity fusion for social recommendation.
Int. J. Mach. Learn. Cybern.
Yongchun Gu, Shuangshuang Ding, Yongqi Li, Huiting Wang, Ming Li
2026 A* conf
Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs.
AAAI
Ming Li, Yongqi Li, Yuting Chen, Feilong Cao, Ke Lv
2026 A* conf
High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks.
AAAI
Ming Li, Yujie Fang, Dongrui Shen, Han Feng, Xiaosheng Zhuang, Kelin Xia, Pietro Lio
2026 A* conf
HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters.
AAAI
Ming Li, Ruiting Zhao, Zihao Yan, Lu Bai, Lixin Cui, Feilong Cao
2026 A* conf
HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs.
AAAI
Tingyi Cai, Yunliang Jiang, Ming Li, Changqin Huang, Yujie Fang, Chengling Gao, Zhonglong Zheng
2026 A* conf
HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning.
AAAI
Ming Li, Zhanle Zhu, Xinyi Li, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv
2026 J jnl
Inconsistency-Aware Graph Convolutional Networks for Multi-View Classification.
IEEE Trans. Emerg. Top. Comput. Intell.
Qing Teng, Keyu Liu, Xibei Yang, Ming Li
2026 J jnl
M2GRec: An efficient sequential recommendation model combining mamba and multi-task graph learning.
Expert Syst. Appl.
Ruiqin Wang, Yifan Wang, Wanshu Zhang, Ming Li
2026 A* conf
Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation.
AAAI
Ming Li, Zihao Yan, Yuting Chen, Lixin Cui, Lu Bai, Feilong Cao, Ke Lv, Zhao Li
2026 A* conf
Permutation Equivariant Framelet-based Hypergraph Neural Networks.
AAAI
Ming Li, Yi Wang, Chengling Gao, Lu Bai, Yujie Fang, Xiaosheng Zhuang, Pietro Lio
2026 J jnl
QIIS: Quaternion Inter- and Intra-Task Interaction Strategy for Multi-Task Dense Prediction.
IEEE Trans. Consumer Electron.
Kai Huang, Guoheng Huang, Yan Li, Ming Li, Bingo Wing-Kuen Ling, Xiaochen Yuan, Chi-Man Pun, Lianglun Cheng
2026 A* conf
SSHPool: The Separated Subgraph-based Hierarchical Pooling.
AAAI
Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Ziyu Lyu, Yue Wang, Edwin R. Hancock
2026 A* conf
Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction.
AAAI
Ming Li, Huiting Wang, Yuting Chen, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv
2026 J jnl
Stability-aware robust deep graph matching with outliers.
Appl. Soft Comput.
Yu Xie, Yuan Li, Zhiqiang Wang, Hangyuan Du, Ming Li
2026 J jnl
VQIT-GNN: A collaborative knowledge transfer for node-level structure imbalance.
Pattern Recognit.
Wenrui Guan, Xibei Yang, Ming Li, Qihang Guo, Keyu Liu, Qiguo Sun
2025 J jnl
A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty.
IEEE Trans. Netw. Sci. Eng.
Yu Hou, Cong Tran, Ming Li, Won-Yong Shin
2025 J jnl
A feature reuse framework with texture-adaptive aggregation for reference-based super-resolution.
Knowl. Based Syst.
Xiaoyong Mei, Yi Yang, Ming Li, Changqin Huang, Kai Zhang, Fudan Zheng
2025 J jnl
AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks.
IEEE Trans. Knowl. Data Eng.
Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock
2025 A* conf
AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract).
ICDE
Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock
2025 A* conf
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification.
IJCAI
Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025 A* conf
All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning.
IJCAI
Yi Wang, Changqin Huang, Ming Li, Tingyi Cai, Zhonglong Zheng, Xiaodi Huang
2025 A* conf
An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection.
IJCAI
Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025 J jnl
AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction.
CoRR
Qianru Zhang, Honggang Wen, Ming Li, Dong Huang, Siu-Ming Yiu, Christian S. Jensen, Pietro Liò
2025 J jnl
Bidirectional distance encoding for graph neural networks.
Neurocomputing
Xi Wang, Changxiang He, Luchao Zhang, Xiaofei Qin, Xuedian Zhang, Ming Li, Min Ju
2025 J jnl
Collaborative graph neural networks for augmented graphs: A local-to-global perspective.
Pattern Recognit.
Qihang Guo, Xibei Yang, Ming Li, Yuhua Qian
2025 J jnl
Correlation Information Enhanced Graph Anomaly Detection via Hypergraph Transformation.
IEEE Trans. Cybern.
Changqin Huang, Chengling Gao, Ming Li, Yongzhi Li, Xizhe Wang, Yunliang Jiang, Xiaodi Huang
2025 A* conf
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification.
AAAI
Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock
2025 A* conf
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification.
IJCAI
Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock
2025 A* conf
Deep Hypergraph Neural Networks with Tight Framelets.
AAAI
Ming Li, Yujie Fang, Yi Wang, Han Feng, Yongchun Gu, Lu Bai, Pietro Liò
2025 A* conf
ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks.
ICML
Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Lixiang Xu, Yue Wang, Edwin R. Hancock
2025 A* conf
EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction.
ICML
Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv, Jiye Liang, Pietro Lio
2025 J jnl
Examining the Fourier Spectrum of Speech Signal From a Time-Frequency Perspective for Automatic Depression Level Prediction.
IEEE Trans. Affect. Comput.
Mingyue Niu, Jianhua Tao, Yongjun He, Shiqing Zhang, Ming Li
2025 A* conf
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint.
IJCAI
Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025 J jnl
FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation.
Pattern Recognit.
Ming Li, Jiandong Shi, Lu Bai, Changqin Huang, Yunliang Jiang, Ke Lu, Shijin Wang, Edwin R. Hancock
2025 A* conf
HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification.
IJCAI
Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025 A* conf
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract).
ICDE
Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock
2025 A conf
Hierarchical Graph Learning Framework for Multimodal Conversational Emotion Recognition.
ICME
Jiandong Shi, Ming Li, Guoheng Huang, Siwei Zhou, Yongchun Gu, Zhanle Zhu
2025 — conf
High-Variance Graph Framelets for Heterophilous Graph Learning.
ICKG
Ruigang Zheng, Ming Li, Xiaosheng Zhuang
2025 A* conf
HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks.
ICML
Tingyi Cai, Yunliang Jiang, Ming Li, Lu Bai, Changqin Huang, Yi Wang
2025 A* conf
MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition.
IJCAI
Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang
2025 A* conf
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection.
AAAI
Tingyi Cai, Yunliang Jiang, Ming Li, Changqin Huang, Yi Wang, Qionghao Huang
2025 J jnl
MM-Tracker: Visual Tracking With A Multi-Task Model Integrating Detection and Differentiating Feature Extraction.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhihui Wang, Mingshuai Li, Zhiyuan Li, Xing-Li Zhang, Ming Li, Zhao Li, Weiping Ding, Xindong Wu
2025 J jnl
MPCM-RRG: Multi-modal Prompt Collaboration Mechanism for Radiology Report Generation.
J. Biomed. Informatics
Yumian Yu, Guoheng Huang, Zhe Tan, Jiahui Shi, Ming Li, Chi-Man Pun, Fuchen Zheng, Shiqiang Ma, Shuqiang Wang, Long He
2025 J jnl
Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation.
Inf. Sci.
Jiandong Shi, Ming Li, Yuting Chen, Lixin Cui, Lu Bai
2025 J jnl
On Learning Label Noise Robust Networks via Regularization: A Topological View.
IEEE Trans. Neural Networks Learn. Syst.
Chun Zhou, Hua Meng, Ming Li, Zhengchun Zhou
2025 J jnl
Out-of-Distribution Detection on Graphs: A Survey.
CoRR
Tingyi Cai, Yunliang Jiang, Yixin Liu, Ming Li, Changqin Huang, Shirui Pan
2025 J jnl
ReFNet: Rehearsal-based graph lifelong learning with multi-resolution framelet graph neural networks.
Inf. Sci.
Ming Li, Xiaoyi Yang, Yuting Chen, Siwei Zhou, Yongchun Gu, Qintai Hu
2025 J jnl
SFCANet: Channel Attention in Spatial-Frequency Domain for Infrared Small Target Detection.
IEEE Trans. Aerosp. Electron. Syst.
Zijin Lin, Guoheng Huang, Ming Li, Xiaochen Yuan, Guanghui Yue, Chi-Man Pun, Lianglun Cheng
2025 J jnl
SODSR: A Three-Stage Small Object Detection via Super-Resolution Using Optimizing Combination.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiaoyong Mei, Kejin Zhang, Changqin Huang, Xiao Chen, Ming Li, Zhao Li, Weiping Ding, Xindong Wu
2025 J jnl
SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning.
CoRR
Xin Hu, Ke Qin, Guiduo Duan, Ming Li, Yuan-Fang Li, Tao He
2025 B conf
SVVR-Enhanced Cultural Learning: Relationship Between Students' Sense of Presence and Motivation.
ICALT
Yuting Chen, Morris Siu-Yung Jong, Miao Yue, Ming Li
2025 J jnl
Semantic-spatial feature-fused cortical surface parcellation: a scale-unified spatial learning network with boundary contrastive loss.
Medical Biol. Eng. Comput.
Hailiang Ye, Siqi Liu, Ming Li, Houying Zhu, Feilong Cao
2025 A* conf
Test-Time Graph Neural Dataset Search With Generative Projection.
ICML
Xin Zheng, Wei Huang, Chuan Zhou, Ming Li, Shirui Pan
2025 J jnl
Understanding the dynamics of motivation and learning behaviors in augmented reality-based writing courses.
Educ. Inf. Technol.
Yu-Ting Chen, Xin-Xiang Wang, Ming Li, Mutlu Cukurova, Morris Siu-Yung Jong
2025 A* conf
When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline.
AAAI
Ming Li, Yongchun Gu, Yi Wang, Yujie Fang, Lu Bai, Xiaosheng Zhuang, Pietro Liò
2025 — conf
eBASE: Real-Time Battery Swap Recommendation System for eBike Users.
DASFAA (6)
Siwei Zhou, Yongchun Gu, Zhao Li, Yangzhen Li, Chengxiang Zhu, Xuanwu Liu, Jiaming Huang, Ming Li, Xuyun Zhang, Minglu Li
2024 J jnl
A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence.
IEEE Trans. Cybern.
Weiping Ding, Ying Sun, Ming Li, Jun Liu, Hengrong Ju, Jiashuang Huang, Chin-Teng Lin
2024 J jnl
A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs.
IEEE Trans. Artif. Intell.
Chunya Zou, Andi Han, Lequan Lin, Ming Li, Junbin Gao
2024 J jnl
A Systematic Review of Research on Immersive Technology-Enhanced Writing Education: The Current State and a Research Agenda.
IEEE Trans. Learn. Technol.
Yuting Chen, Ming Li, Changqin Huang, Mutlu Cukurova, Qing Ma
2024 J jnl
A joint parcellation and boundary network with multi-rate-shared dilated graph attention for cortical surface parcellation.
Medical Biol. Eng. Comput.
Siqi Liu, Hailiang Ye, Bing Yang, Ming Li, Feilong Cao
2024 J jnl
AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs.
Pattern Recognit.
Yi Wang, Changqin Huang, Ming Li, Qionghao Huang, Xuemei Wu, Jia Wu
2024 J jnl
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks.
CoRR
Guangrui Yang, Jianfei Li, Ming Li, Han Feng, Ding-Xuan Zhou
2024 J jnl
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus.
IEEE Trans. Knowl. Data Eng.
Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
2024 J jnl
ConsistencyDet: A Robust Object Detector with a Denoising Paradigm of Consistency Model.
CoRR
Lifan Jiang, Zhihui Wang, Changmiao Wang, Ming Li, Jiaxu Leng, Xindong Wu
2024 J jnl
Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization.
CoRR
Guangrui Yang, Ming Li, Han Feng, Xiaosheng Zhuang
2024 J jnl
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks.
CoRR
Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Lixiang Xu, Edwin R. Hancock
2024 J jnl
EduCross: Dual adversarial bipartite hypergraph learning for cross-modal retrieval in multimodal educational slides.
Inf. Fusion
Ming Li, Siwei Zhou, Yuting Chen, Changqin Huang, Yunliang Jiang
2024 J jnl
EduGraph: Learning Path-Based Hypergraph Neural Networks for MOOC Course Recommendation.
IEEE Trans. Big Data
Ming Li, Zhao Li, Changqin Huang, Yunliang Jiang, Xindong Wu
2024 J jnl
Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily.
IEEE Trans. Cybern.
Changqin Huang, Yi Wang, Yunliang Jiang, Ming Li, Xiaodi Huang, Shijin Wang, Shirui Pan, Chuan Zhou
2024 J jnl
Framelet-based dual hypergraph neural networks for student performance prediction.
Int. J. Mach. Learn. Cybern.
Yazhi Yang, Jiandong Shi, Ming Li, Hamido Fujita
2024 J jnl
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications.
IEEE Trans. Neural Networks Learn. Syst.
Ming Li, Alessio Micheli, Yu Guang Wang, Shirui Pan, Pietro Lió, Giorgio Stefano Gnecco, Marcello Sanguineti
2024 J jnl
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification.
IEEE Trans. Knowl. Data Eng.
Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock
2024 A* conf
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning.
NeurIPS
Lu Bai, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
2024 J jnl
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning.
CoRR
Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
2024 A* conf
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing.
ICML
Keke Huang, Yu Guang Wang, Ming Li, Pietro Lio
2024 J jnl
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing.
CoRR
Keke Huang, Yu Guang Wang, Ming Li, Pietro Liò
2024 J jnl
Incorporation of peer-feedback into the pedagogical use of spherical video-based virtual reality in writing education.
Br. J. Educ. Technol.
Yu-Ting Chen, Ming Li, Mutlu Cukurova, Morris Siu-Yung Jong
2024 J jnl
Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction.
Inf. Fusion
Ming Li, Xiaosheng Zhuang, Lu Bai, Weiping Ding
2024 J jnl
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jianfei Li, Ruigang Zheng, Han Feng, Ming Li, Xiaosheng Zhuang
2024 J jnl
PointTransform Networks for automatic depression level prediction via facial keypoints.
Knowl. Based Syst.
Mingyue Niu, Ming Li, Changzeng Fu
2024 J jnl
QBER: Quantum-based Entropic Representations for un-attributed graphs.
Pattern Recognit.
Lixin Cui, Ming Li, Lu Bai, Yue Wang, Jing Li, Yanchao Wang, Zhao Li, Yunwen Chen, Edwin R. Hancock
2024 A* conf
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs.
ICML
Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
2024 A conf
Real-time E-bike Route Planning with Battery Range Prediction.
WSDM
Zhao Li, Guoqi Ren, Yongchun Gu, Siwei Zhou, Xuanwu Liu, Jiaming Huang, Ming Li
2024 J jnl
Robust graph neural networks with Dirichlet regularization and residual connection.
Int. J. Mach. Learn. Cybern.
Kaixuan Yao, Zijin Du, Ming Li, Feilong Cao, Jiye Liang
2024 J jnl
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming.
IEEE Trans. Neural Networks Learn. Syst.
Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
2024 J jnl
Unleashing imagination: an effective pedagogical approach to integrate into spherical video-based virtual reality to improve students' creative writing.
Educ. Inf. Technol.
Yu-Ting Chen, Ming Li, Mutlu Cukurova
2024 J jnl
XKT: Toward Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts.
IEEE Trans. Knowl. Data Eng.
Chang-Qin Huang, Qionghao Huang, Xiaodi Huang, Hua Wang, Ming Li, Kwei-Jay Lin, Yi Chang
2023 J jnl
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution.
CoRR
Xiaoyong Mei, Yi Yang, Ming Li, Changqin Huang, Kai Zhang, Pietro Lió
2023 Misc conf
A Global-and-Local Feature Fusion Network for Point Cloud Classification.
ICMLC
Xinhong Meng, Meng Hu, Hailiang Ye, Ming Li, Feilong Cao
2023 J jnl
A disentangled linguistic graph model for explainable aspect-based sentiment analysis.
Knowl. Based Syst.
Xiaoyong Mei, Yougen Zhou, Chenjing Zhu, Mengting Wu, Ming Li, Shirui Pan
2023 J jnl
A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation.
Inf. Process. Manag.
Hailiang Ye, Yuzhi Song, Ming Li, Feilong Cao
2023 J jnl
AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks.
CoRR
Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock
2023 J jnl
Are Graph Convolutional Networks With Random Weights Feasible?
IEEE Trans. Pattern Anal. Mach. Intell.
Changqin Huang, Ming Li, Feilong Cao, Hamido Fujita, Zhao Li, Xindong Wu
2023 J jnl
BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation.
Pattern Recognit.
Ming Li, Lin Zhang, Lixin Cui, Lu Bai, Zhao Li, Xindong Wu
2023 J jnl
From motivational experience to creative writing: A motivational AR-based learning approach to promoting Chinese writing performance and positive writing behaviours.
Comput. Educ.
Ming Li, Yuting Chen, Chang-Qin Huang, Gwo-Jen Hwang, Mutlu Cukurova
2023 J jnl
GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Bing Yang, Hailiang Ye, Ming Li, Feilong Cao, Shirui Pan
2023 A* conf
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
ICML
Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang
2023 J jnl
MathNet: Haar-like wavelet multiresolution analysis for graph representation learning.
Knowl. Based Syst.
Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
2023 J jnl
Multiple Pedestrian Tracking With Graph Attention Map on Urban Road Scene.
IEEE Trans. Intell. Transp. Syst.
Zhihui Wang, Zhiyuan Li, Jiaxu Leng, Ming Li, Lu Bai
2023 J jnl
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning.
CoRR
Jianfei Li, Ruigang Zheng, Han Feng, Ming Li, Xiaosheng Zhuang
2023 J jnl
Privacy-preserving federated learning framework in multimedia courses recommendation.
Wirel. Networks
Yangjie Qin, Ming Li, Jia Zhu
2023 J jnl
Revisiting graph neural networks from hybrid regularized graph signal reconstruction.
Neural Networks
Jiaxing Miao, Feilong Cao, Hailiang Ye, Ming Li, Bing Yang
2023 A* conf
Stability and Generalization of lp-Regularized Stochastic Learning for GCN.
IJCAI
Shiyu Liu, Linsen Wei, Shaogao Lv, Ming Li
2023 J jnl
TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis.
Knowl. Based Syst.
Changqin Huang, Junling Zhang, Xuemei Wu, Yi Wang, Ming Li, Xiaodi Huang
2023 J jnl
Triplet teaching graph contrastive networks with self-evolving adaptive augmentation.
Pattern Recognit.
Jiaxing Miao, Feilong Cao, Ming Li, Bing Yang, Hailiang Ye
2022 J jnl
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus.
CoRR
Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
2022 J jnl
Deep multi-graph neural networks with attention fusion for recommendation.
Expert Syst. Appl.
Yuzhi Song, Hailiang Ye, Ming Li, Feilong Cao
2022 Misc conf
Deeper Insights into Neural Nets with Random Weights.
AI
Ming Li, Giorgio Gnecco, Marcello Sanguineti
2022 J jnl
Embedding Graphs on Grassmann Manifold.
CoRR
Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
2022 J jnl
Embedding graphs on Grassmann manifold.
Neural Networks
Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
2022 J jnl
Empowering IoT Predictive Maintenance Solutions With AI: A Distributed System for Manufacturing Plant-Wide Monitoring.
IEEE Trans. Ind. Informatics
Yuehua Liu, Wenjin Yu, Tharam S. Dillon, Wenny Rahayu, Ming Li
2022 B conf
Feedforward Neural Network Reconstructed from High-order Quantum Systems.
IJCNN
Junwei Zhang, Zhao Li, Hao Peng, Ming Li, Xiaofen Wang
2022 J jnl
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification.
CoRR
Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock
2022 J jnl
Multi-view graph convolutional networks with attention mechanism.
Artif. Intell.
Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao
2022 B conf
Neural Network Model Reconstructed from Entangled Quantum States.
IJCNN
Junwei Zhang, Zhao Li, Jianmao Xiao, Ming Li
2022 J jnl
Parallel incremental efficient attribute reduction algorithm based on attribute tree.
Inf. Sci.
Weiping Ding, Tingzhen Qin, Xinjie Shen, Hengrong Ju, Haipeng Wang, Jiashuang Huang, Ming Li
2022 J jnl
Promoting deep writing with immersive technologies: An SVVR-supported Chinese composition writing approach for primary schools.
Br. J. Educ. Technol.
Yuting Chen, Ming Li, Chang-Qin Huang, Zhongmei Han, Gwo-Jen Hwang, Gang Yang
2021 J jnl
2-D Stochastic Configuration Networks for Image Data Analytics.
IEEE Trans. Cybern.
Ming Li, Dianhui Wang
2021 J jnl
Algorithm 1018: FaVeST - Fast Vector Spherical Harmonic Transforms.
ACM Trans. Math. Softw.
Quoc Thong Le Gia, Ming Li, Yu Guang Wang
2021 J jnl
Effective multiple pedestrian tracking system in video surveillance with monocular stationary camera.
Expert Syst. Appl.
Zhihui Wang, Ming Li, Yu Lu, Yongtang Bao, Zhe Li, Jianli Zhao
2021 A* conf
How Framelets Enhance Graph Neural Networks.
ICML
Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montúfar
2021 J jnl
How Framelets Enhance Graph Neural Networks.
CoRR
Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yu Guang Wang, Pietro Liò, Ming Li, Guido Montúfar
2021 — conf
Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction.
DTPI
Xinjie Shen, Jiashuang Huang, Ying Sun, Ming Li, Bairu Pan, Weiping Ding
2021 J jnl
Stochastic configuration network ensembles with selective base models.
Neural Networks
Changqin Huang, Ming Li, Dianhui Wang
2021 J jnl
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming.
CoRR
Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
2020 J jnl
Exercise recommendation based on knowledge concept prediction.
Knowl. Based Syst.
Zhengyang Wu, Ming Li, Yong Tang, Qingyu Liang
2020 J jnl
Fast Haar Transforms for Graph Neural Networks.
Neural Networks
Ming Li, Zheng Ma, Yu Guang Wang, Xiaosheng Zhuang
2020 J jnl
Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide.
CoRR
Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
2020 A* conf
Haar Graph Pooling.
ICML
Yuguang Wang, Ming Li, Zheng Ma, Guido Montúfar, Xiaosheng Zhuang, Yanan Fan
2020 J jnl
Multiple Lesions Detection of Fundus Images Based on Convolution Neural Network Algorithm With Improved SFLA.
IEEE Access
Weiping Ding, Ying Sun, Longjie Ren, Hengrong Ju, Zhihao Feng, Ming Li
2020 J jnl
On the Approximation Lower Bound for Neural Nets with Random Weights.
CoRR
Sho Sonoda, Ming Li, Feilong Cao, Changqin Huang, Yu Guang Wang
2020 A* conf
Path Integral Based Convolution and Pooling for Graph Neural Networks.
NeurIPS
Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Liò
2020 J jnl
Path Integral Based Convolution and Pooling for Graph Neural Networks.
CoRR
Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Lió
2020 J jnl
Social participation of the elderly in China: The roles of conventional media, digital access and social media engagement.
Telematics Informatics
Tao He, Changqin Huang, Ming Li, Yuqiong Zhou, Shihua Li
2020 J jnl
rcosmo: R Package for Analysis of Spherical, HEALPix and Cosmological Data.
R J.
Daniel Vidali Fryer, Ming Li, Andriy Olenko
2019 J jnl
FaVeST: Fast Vector Spherical Harmonic Transforms.
CoRR
Quoc Thong Le Gia, Ming Li, Yu Guang Wang
2019 J jnl
Fast Haar Transforms for Graph Neural Networks.
CoRR
Ming Li, Zheng Ma, Yu Guang Wang, Xiaosheng Zhuang
2019 J jnl
Fast Tensor Needlet Transforms for Tangent Vector Fields on the Sphere.
CoRR
Ming Li, Philip Broadbridge, Andriy Olenko, Yu Guang Wang
2019 J jnl
HaarPooling: Graph Pooling with Compressive Haar Basis.
CoRR
Yu Guang Wang, Ming Li, Zheng Ma, Guido Montúfar, Xiaosheng Zhuang, Yanan Fan
2019 J jnl
Improved randomized learning algorithms for imbalanced and noisy educational data classification.
Computing
Ming Li, Changqin Huang, Dianhui Wang, Qintai Hu, Jia Zhu, Yong Tang
2019 J jnl
PAN: Path Integral Based Convolution for Deep Graph Neural Networks.
CoRR
Zheng Ma, Ming Li, Yu Guang Wang
2019 J jnl
Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression.
Inf. Sci.
Ming Li, Changqin Huang, Dianhui Wang
2018 B conf
Deep Stochastic Configuration Networks with Universal Approximation Property.
IJCNN
Dianhui Wang, Ming Li
2018 J jnl
Two Dimensional Stochastic Configuration Networks for Image Data Analytics.
CoRR
Ming Li, Dianhui Wang
2017 J jnl
Building Robust Stochastic Configuration Networks with Kernel Density Estimation.
CoRR
Dianhui Wang, Ming Li
2017 J jnl
Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation.
CoRR
Dianhui Wang, Ming Li
2017 J jnl
Insights into randomized algorithms for neural networks: Practical issues and common pitfalls.
Inf. Sci.
Ming Li, Dianhui Wang
2017 J jnl
Robust stochastic configuration networks with kernel density estimation for uncertain data regression.
Inf. Sci.
Dianhui Wang, Ming Li
2017 J jnl
Stochastic Configuration Networks: Fundamentals and Algorithms.
CoRR
Dianhui Wang, Ming Li
2017 J jnl
Stochastic Configuration Networks: Fundamentals and Algorithms.
IEEE Trans. Cybern.
Dianhui Wang, Ming Li
2013 J jnl
Catching the Genomic Wave in Oligonucleotide Single-Nucleotide Polymorphism Arrays by Modeling Sequence Binding.
J. Comput. Biol.
Yalu Wen, Ming Li, Wenjiang J. Fu
2008 — conf
On Design of Oligonucleotide SNP Arrays and Methods for Genotype Calling.
BMEI (1)
Wenjiang J. Fu, Ming Li, Lin Wan, Minghua Deng, Minping Qian