Miao Zhang

Orcid: 0000-0002-8952-215X

Affiliations:
  • Hubei University, School of Computer Science, Wuhan, China
  • Central China Normal University, National Engineering Research Center for E-Learning, Wuhan, China (PhD 2023)


According to our database1, Miao Zhang authored at least 30 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
HiMod: Hierarchical Modeling with Graph Perturbation for Enhanced Inductive Knowledge Graph Reasoning.
ACM Trans. Knowl. Discov. Data, May, 2026

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering.
CoRR, May, 2026

MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment.
CoRR, January, 2026

Integrating Object Interaction Self-Attention and GAN-Based Debiasing for Visual Question Answering.
IEEE Trans. Multim., 2026

S2RAF: A Semantic and Structure aware ReAsoning Framework for question answering over textual graphs.
Inf. Process. Manag., 2026

Noise-robust item modeling and dynamic multiview contrastive learning for multimodal recommendation.
Inf. Process. Manag., 2026

DAGE: decay-aware graph extrapolation for temporal knowledge graph reasoning.
Inf. Fusion, 2026

Heterogeneous environment-aware multimodal recommendation with modality alignment.
Inf. Fusion, 2026

Knowledge concept cold-start approach for cognitive diagnosis.
Neurocomputing, 2026

MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

KeenKT: Knowledge Mastery-State Disambiguation for Knowledge Tracing.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Structurally Refined Graph Transformer for Multimodal Recommendation.
CoRR, November, 2025

Enhancing Weak Supervision for Concept Prerequisite Relation Learning.
IEEE Trans. Big Data, October, 2025

Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion.
ACM Trans. Knowl. Discov. Data, September, 2025

Noise-enhanced graph contrastive learning for multimodal recommendation systems.
Knowl. Based Syst., 2025

Aggregation or separation? Adaptive embedding message passing for knowledge graph completion.
Inf. Sci., 2025

Graph structure prefix injection transformer for multi-modal entity alignment.
Inf. Process. Manag., 2025

Decoupled semantic graph neural network for knowledge graph embedding.
Neurocomputing, 2025

A Cooperative Safety-Enhanced Control Framework for Driving Assistance in the Internet of Vehicles.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

KANOptiKT: Matrix Factorization and KAN Optimized Attention for Interpretable Knowledge Tracing.
Proceedings of the International Joint Conference on Neural Networks, 2025

DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering.
Proceedings of the Database Systems for Advanced Applications, 2025

Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Meta-path reasoning of knowledge graph for commonsense question answering.
Frontiers Comput. Sci., February, 2024

Text-enhanced knowledge graph representation learning with local structure.
Inf. Process. Manag., 2024

Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge.
CoRR, 2024

Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2022
DRLK: Dynamic Hierarchical Reasoning with Language Model and Knowledge Graph for Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020
Effectively Incorporating Knowledge in Open-Domain Dialogue Generation.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2020


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