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

7 papers

cs.CV2026

Model Guides You How to Draw: Adaptive Visual Gating for Unified Multimodal Reasoning

Wenxi Gao, Guanxi Lu, Didi Zhu +5

Unified multimodal models (UMMs) with interleaved reasoning, which generate both textual and visual steps as part of intermediate reasoning traces, have demonstrated great potentia…

cs.LG2025

AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size

Guanxi Lu, Hao Mark Chen, Yuto Karashima +3

Diffusion-based large language models (dLLMs) are gaining attention for their inherent capacity for parallel decoding, offering a compelling alternative to autoregressive LLMs. Amo…

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.GR2025

Efficient 3D Gaussian Splatting with Axis-Shared Rasterization and Order-independent Transmittance

Zhican Wang, Guanghui He, Lingjun Gao +6

3D Gaussian Splatting (3DGS) has emerged as a powerful technique for novel view synthesis, combining high-quality reconstruction with efficient rendering. It has been widely adopte…

cs.LG2025★ 1 cited

Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis

Jiahao Gai, Hao Mark Chen, Zhican Wang +4

Recent advances in code generation have illuminated the potential of employing large language models (LLMs) for general-purpose programming languages such as Python and C++, openin…

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.…