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๐Ÿ˜Š About Me

  • ๐ŸŒฑ My research interests lie in agents based on large models (LLMs/MLMs). Specifically, I am interested in:
    • ๐Ÿ”— The integration of LMs with APIs (tools).
    • ๐Ÿ›  The software engineering challenges associated with the integration.
    • ๐Ÿ“ฑ The applications of LMs on edge devices.
  • ๐Ÿ“š My research group primarily focuses on system software, including machine learning systems, serverless computing, web systems, software engineering, and etc. In my first year of Ph.D., I studied anomaly detection, federated learning, inference optimization for LLMs in the cloud, etc.
  • ๐Ÿ” Throughout my studies from system software to deep learning, I have gained knowledge in various areas including methods and applications of natural language processing, retrieval systems, data analysis and mining, acceleration, and application of machine learning systems.

๐Ÿ”ฅ News

๐Ÿ“ Publications

  1. H. Shen, Y. Li, D. Meng, et al. โ€œShortcutsbench: A large-scale real-world benchmark for API-based agents,โ€ 2024.
  2. H. Shen, Y. Ma, Y. Li, et al. โ€œAdpal: Automatic detection of troubled users in online service systems via page access logs,โ€ in 2023 IEEE International Conference on Web Services (ICWS), 2023, pp. 638โ€“646.
  3. D. Tian, H. Shen, and Y. Ma, โ€œParallelizing DNN inference in mobile web browsers on heterogeneous hardware,โ€ in Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services, MobiSys โ€˜22, Portland, Oregon: Association for Computing Machinery, 2022, pp. 519โ€“520.

๐Ÿ“– Experience

๐Ÿ“ซ Correspondence