Menghao Zhang

Orcid: 0000-0001-9713-9938

Affiliations:
  • Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China


According to our database1, Menghao Zhang authored at least 13 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

Online presence:

On csauthors.net:

Bibliography

2026
Enhancing MLLMs for Online Understanding in Video Services via Preference Optimization.
IEEE Trans. Serv. Comput., 2026

VALU: A Benchmark for Video Anomaly Temporal Localization and Understanding at Multiple Semantic Levels.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Dual-Branch 3D Spatial-Aware Latent Diffusion for Realistic Depth Image Synthesis.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Masked Self-Supervised Learning and Semantic Noise Separation for Video Anomaly Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Prior-Aware Dynamic Temporal Modeling Framework for Sequential 3D Hand Pose Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Cognition Guided Video Anomaly Detection Framework for Surveillance Services.
IEEE Trans. Serv. Comput., 2024

Video Anomaly Detection via Progressive Learning of Multiple Proxy Tasks.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Enhanced Anomaly Detection in Dashcam Videos: Dual GAN Approach with Swin-Unet for Optical Flow and Region of Interest Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2024

Safeguarding Sustainable Cities: Unsupervised Video Anomaly Detection through Diffusion-based Latent Pattern Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SSS: Editing Factual Knowledge in Language Models towards Semantic Sparse Space.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Robust Video Anomaly Detection Framework via Prior Knowledge and Multi-Path Frame Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2023


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