Five Papers and One Special Session Accepted by ICCAD'2025

Five papers on efficient AI are accepted by ICCAD'2025 as regular papers. We are also organizing a special session on privacy-preserving AI.

Last updated on Jul 9, 2025

Papers on efficient AI:

  • No Redundancy, No Stall: Lightweight Streaming 3D Gaussian Splatting for Real-time Rendering
  • H2EAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference
  • HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing
  • SpecMamba: Accelerating Mamba Inference on FPGA with Speculative Decoding
  • Adder-DCIM: A Parallel Bit-Flexible Digital CIM Joint Model Compression Framework for AdderNet Inference (led by Prof. Xiyuan Tang)
Conference
Meng Li
Meng Li
Assistant Professor

I am currently a tenure-track assistant professor jointly affiliated with the Institute for Artificial Intelligence and School of Integrated Circuits in Peking University. My research interests focus on efficient and secure multi-modality AI acceleration algorithms and hardwares.

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