8 papers
Lightweight Polyp Segmentation via a Gain-Aware Prediction-Space Recursive Controller
Jiachi Zhang, Zhuoyu Wu, Quanjun Wang +2
While lightweight polyp segmentation is highly desirable for low-cost deployment, reported performance gains often stem from upgraded backbone encoders, complex decoders, or heavy…
DepthPolyp: Pseudo-Depth Guided Lightweight Segmentation for Real-Time Colonoscopy
Zhuoyu Wu, Wenhui Ou, Lexi Zhang +5
Accurate polyp segmentation in colonoscopy is essential for early colorectal cancer detection, yet real-world clinical environments pose persistent challenges such as motion blur,…
RECIPER: A Dual-View Retrieval Pipeline for Procedure-Oriented Materials Question Answering
Zhuoyu Wu, Wenhui Ou, Pei-Sze Tan +3
Retrieving procedure-oriented evidence from materials science papers is difficult because key synthesis details are often scattered across long, context-heavy documents and are not…
Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling Co-Design
Chenyang Ai, Yixing Zhang, Haoran Wu +3
Large language model (LLM) decoding is a major inference bottleneck because its low arithmetic intensity makes performance highly sensitive to memory bandwidth. 3D-stacked near-mem…
VIKIN: A Reconfigurable Accelerator for KANs and MLPs with Two-Stage Sparsity Support
Wenhui Ou, Zhuoyu Wu, Yipu Zhang +2
Recently, multi-layer perceptrons (MLPs) widely used in modern AI applications suffer from limited real-time performance due to intensive memory access overhead. Kolmogorov--Arnold…
FLICKER: A Fine-Grained Contribution-Aware Accelerator for Real-Time 3D Gaussian Splatting
Wenhui Ou, Zhuoyu Wu, Yipu Zhang +3
Recently, 3D Gaussian Splatting (3DGS) has emerged as a mainstream rendering technique due to its photorealistic quality and low latency. However, processing massive numbers of non…