Mengxiao Zhu

Orcid: 0009-0006-0200-9473

Affiliations:
  • North China University of Technology, Beijing, China


According to our database1, Mengxiao Zhu authored at least 11 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MMP: Enhancing unsupervised graph anomaly detection with multi-view message passing.
Pattern Recognit., 2026

FedDCL: Federated diffusion-enhanced contrastive learning for graph anomaly detection.
Inf. Fusion, 2026

Beyond Atomic Characters: Glyph-Aware Sub-character Alignment for Low-Resource Multilingual OCR.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Tibetan-LLaMA 2: Large Language Model for Tibetan.
ACM Trans. Asian Low Resour. Lang. Inf. Process., December, 2025

Transaction Spatio-Temporal Distribution for Permissioned Blockchain Performance Profiling.
Concurr. Comput. Pract. Exp., 2025

Meta reinforcement learning based dynamic tuning for blockchain systems in diverse network environments.
Blockchain Res. Appl., 2025

Chat-Driven 3D Human Pose and Shape Editing with Large Language Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

TVQACML: Benchmarking Text-Centric Visual Question Answering in Multilingual Chinese Minority Languages.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Adversarial Pretrained Language Model for Multivariate Time Series Anomaly Detection.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

VEEF-Multi-LLM: Effective Vocabulary Expansion and Parameter Efficient Finetuning Towards Multilingual Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2023
GFENet: Group-Free Enhancement Network for Indoor Scene 3D Object Detection.
Proceedings of the Advances in Computer Graphics, 2023


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