Mengran Li

Orcid: 0000-0001-7540-530X

Affiliations:
  • Sun Yat-sen University, School of Intelligent Systems Engineering, Shenzhen, China
  • Beijing University of Technology, Beijing Institute of Artificial Intelligence, Department of Information Science, China (former)


According to our database1, Mengran Li authored at least 27 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CellScientist: Dual-Space Hierarchical Orchestration for Closed-Loop Refinement of Virtual Cell Models.
CoRR, May, 2026

MORSE: Molecular representation learning via structured semantic extraction across hierarchical and asymmetric biological modalities.
Pattern Recognit., 2026

A survey of large language models for data challenges in graphs.
Expert Syst. Appl., 2026

Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Effective Finite Time Stability Control for Human-Machine Shared Vehicle Following System.
IEEE Trans. Intell. Transp. Syst., December, 2025

MM-STFlowNet: A Transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling.
IEEE Trans. Intell. Transp. Syst., November, 2025

TDG-Mamba: Advanced Spatiotemporal Embedding for Temporal Dynamic Graph Learning via Bidirectional Information Propagation.
IEEE Trans. Comput. Soc. Syst., October, 2025

Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things.
IEEE Internet Things J., June, 2025

Using Large Language Models to Tackle Fundamental Challenges in Graph Learning: A Comprehensive Survey.
CoRR, May, 2025

Redundancy is Not What You Need: An Embedding Fusion Graph Auto-Encoder for Self-Supervised Graph Representation Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2025

PhenoProfiler: Advancing Phenotypic Learning for Image-based Drug Discovery.
CoRR, February, 2025

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs.
CoRR, January, 2025

TAS-TsC: A data-driven framework for Estimating Time of Arrival using Temporal-Attribute-Spatial Tri-space Coordination of truck trajectories.
Appl. Soft Comput., 2025

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024
Gene expression prediction from histology images via hypergraph neural networks.
Briefings Bioinform., November, 2024

Contextual Semantics Interaction Graph Embedding Learning for Recommender Systems.
IEEE Trans. Comput. Soc. Syst., October, 2024

CSAT: Contrastive Sampling-Aggregating Transformer for Community Detection in Attribute-Missing Networks.
IEEE Trans. Comput. Soc. Syst., April, 2024

Effective Finite Time Stability Control for Human-Machine Shared Vehicle Following System.
CoRR, 2024

Self-Attention-based Multi-Scale Feature Fusion Network for RoadPonding Segmentation.
Proceedings of the 2024 2nd Asia Conference on Computer Vision, 2024

Freeway Trajectory Prediction via SpatiotemporalTransformers.
Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning, 2024

2023
Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning.
IEEE Trans. Big Data, August, 2023

Hypergraph Transformer Neural Networks.
ACM Trans. Knowl. Discov. Data, June, 2023

Inferring student social link from spatiotemporal behavior data via entropy-based analyzing model.
Intell. Data Anal., 2023

AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning.
CoRR, 2023

2022
Multi-view hypergraph neural networks for student academic performance prediction.
Eng. Appl. Artif. Intell., 2022

Student achievement prediction using deep neural network from multi-source campus data.
Complex Intell. Syst., 2022

SHCN: Self-supervised General Hypergraph Clustering Network.
Proceedings of the IEEE International Conference on Big Data, 2022


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