Skip to content
Log in
Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Dengke Han

Institute of Computing Technology, Chinese Academy of Sciences

h-index 6 View on Semantic Scholar

We have 2 of 15 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Aug 2026

ESR-HGNN: Eliminating Semantic Redundancy for Efficient Mini-Batch HGNN Inference

This work proposes a redundancy-aware HGNN sampling paradigm that leverages a metapath trie to reuse traversal paths, effectively eliminating redundant memory accesses and introduces a reusability-driven metapath grouping technique that optimally clusters metapaths to maximize reusable traversal paths within hardware c...

Dengke Han, Mingyu Yan, Duo Wang et al. · 0 citations
Jul 2026

DraftExpert: Expansion-Aware Self-Speculative Decoding for End-Device MoE Inference

DraftExpert is proposed, an expansion-aware self-speculative decoding framework for expert-offloaded MoE inference that improves decode throughput by 1.45x on average, raises draft acceptance to 84~87%, and achieves 86~88% prefetch hit rates.

Dengke Han · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.