◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Zhican Wang

7 papers hereh-index 693 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author3

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.AR3
  • cs.LG2
  • cs.CV1
  • cs.GR1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedDEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing

1 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing cs.ARShow all

3 papers · 1 filter

cs.AR2025

SD-Acc: Accelerating Stable Diffusion through Phase-aware Sampling and Hardware Co-Optimizations

Zhican Wang, Guanghui He, Hongxiang Fan

The emergence of diffusion models has significantly advanced generative AI, improving the quality, realism, and creativity of image and video generation. Among them, Stable Diffusi…

cs.AR2025

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator

Zhican Wang, Hongxiang Fan, Haroon Waris +5

Large Language Models (LLMs) excel in natural language processing tasks but pose significant computational and memory challenges for edge deployment due to their intensive resource…

cs.AR2024★ 1 cited

DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing

Yansong Xu, Dongxu Lyu, Zhenyu Li +6

Multi-scale deformable attention (MSDeformAttn) has emerged as a key mechanism in various vision tasks, demonstrating explicit superiority attributed to multi-scale grid-sampling.…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.