MAIL ☕️

About MAIL

Multimodal Augmented Intelligence Lab (MAIL) is a team within TeleAI, which focuses on research and application development in the field of multimodal cognitive enhancement.

Research Areas
  • Artificial Intelligence
  • Computational Linguistics
  • Multimodal Large Language Model
Contact Us
  • gjy3035@gmail.com
Featured Publications
Recent Publications
Z. Lin, Z. Zhou, Z. Zhao, T. Wan, Y. Ma, J. Gao, and X Li, "WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code," In Proceeding of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL2025), 2025.

@article{WebUIBench, 
title={WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code},
author={Zhiyu Lin, Zhengda Zhou, Zhiyuan Zhao, Tianrui Wan, Yilun Ma, Junyu Gao, Xuelong Li},
journal=the 63rd Annual Meeting of the Association for Computational Linguistics (ACL2025) Findings,
year={2025},
}
	
H. Li, H. Gao, Z. Zhao, Z. Lin, J. Gao, and X Li, "LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges," In Proceeding of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL2025), 2025.
@article{MalwareBench, 
title={LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges},
author={Haoyang Li, Huan Gao, Zhiyuan Zhao, Zhiyu Lin, Junyu Gao, Xuelong Li},
journal={the 63rd Annual Meeting of the Association for Computational Linguistics (ACL2025)},
year={2025},
}
	
H. Gao, J. Gao, and Y. Yuan, "Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting," In Proceeding of the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025), 2025.
PDF Cite

@article{HaojieAAAI2025, 
title={Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting},
author={Haojie Guo, Junyu Gao, Yuan Yuan},
journal=the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025),
year={2025},
}
D. Zhang, J. Gao, and X. Li, "Multivariate time series classification with crucial timestamps guidance," Expert Systems with Applications, 2025
PDF Cite

@article{saesa2024, 
title={Multivariate time series classification with crucial timestamps guidance},
author={Da Zhang, Junyu Gao, Xuelong Li},
journal=Expert Systems with Applications,
year={2024},
}
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