Hi! I am Xiaohuan Pei (Terry) 😊, a PhD student at the University of Sydney, supervised by Professor Chang Xu. I major in deep learning at the school of computer science.

Specialized Field: Efficiency AI, VLM Inference.

Recent Work: CSP, EfficientVMamba

🔥 News

  • 2024.01: Release a VLM inference project: CSP.
  • 2024.12: One paper accepted to AAAI 2025.
  • 2024.01: One paper accepted to ICLR 2024.


📝 Artificial Intelligence Projects

AAAI 2025
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EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Xiaohuan Pei, Tao Huang, Chang Xu

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025

[Paper] [Code]

ICLR 2024
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Neural Architecture Retrieval

Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu

The International Conference on Learning Representations (ICLR), 2024

[Paper] [Code]

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GPT Self-Supervision for a Better Data Annotator

Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu

[Paper]

ICDM 2022
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Contrastive Code-Comment Pre-training

Xiaohuan Pei, Daochang Liu, Qian Luo, Chang Xu

International Conference on Data Mining (ICDM), 2022

[Paper] [Code]

ICDM 2022
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Self-Attention Gated Model for Cognitive Diagnosis

Xiaohuan Pei, Shuo Yang, Jiajun Huang, Chang Xu

International Conference on Data Mining (ICDM), 2022

[Paper] [Code]

📖 Teaching

  • 2023, Tutor for COMP5329 Deep Learning, The University of Sydney

🎖 Awards

  • ICDM Best Student Paper Award
  • Two Full Scholarship Awards from UoW
  • Outstanding Graduate
  • National Second Prize in Mathematics Competition
  • Provincial Prize in C++ Programming Competition

🌟 Grants

  • The National Computational Infrastructure (NCI) Adapter Scheme, Australia

♥️ Services

  • Reviewer of ICML, NeurIPS, ICLR, CVPR.

Contact: xiaohuan.pei at sydney.edu.au, terrypei123 at gmail.com