Portrait of Lei Deng

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Lei Deng

Researcher working across efficient AI, sparse attention, and communication systems.

The latest public profile attached to this site is the Google Scholar record for Lei Deng, which currently lists Hong Kong Theory Lab, Huawei and research interests including efficient AI and sparse attention. Earlier education and academic background from the previous site are preserved below.

Biography

Lei Deng received a BEng from Shanghai Jiao Tong University in 2012 and a PhD from The Chinese University of Hong Kong in 2017. Previous versions of this site listed an assistant professorship at Shenzhen University and a postdoctoral appointment at CUHK.

The recent publication record indicates an active research focus spanning large language models, multimodal learning, diffusion-based compression, and communication systems.

Research Areas

  • Efficient AI and sparse attention
  • Long-context language modeling
  • Multimodal adaptation and reasoning
  • Wireless and delay-constrained networking
  • Distributed storage and systems optimization

Contact

Recent Publications

  • A Mathematical Theory of Top-Sparse Attention via Total Variation Distance arXiv preprint arXiv:2512.07647, 2025

  • Adaptive Coding and Modulation for Sun Outage Alleviation in Ultra-Dense LEO Satellite Networks A DRL Approach IEEE Internet of Things Journal, 2025

  • Optimizing Ride-Sharing Routing A Demand-Aware Approach IEEE Transactions on Intelligent Transportation Systems, 2025

  • Compressing Inside Generating A Latent Domain Codec for AI-Generated Images Data Compression Conference, 2025

  • Bayesian Test-Time Adaptation for Vision-Language Models CVPR, 2025

See the full recent list

Notes

This site has been rebuilt as a Jekyll site where the content pages and blog posts are plain Markdown files. It is intended to stay lightweight, editable, and easy to maintain directly on GitHub.

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