activity
20192026
most citedMedical Image Segmentation Using Squeeze-and-Expansion Transformers

24 citations · 40 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Confidence-Adaptive SwiGLU for Mixture-of-Experts

Shaohua Li, Xiuchao Sui, Xiaobing Sun +4

SwiGLU has become a standard gated activation in modern Transformer MLPs, yet its gate sharpness -- the smoothness and selectivity of the gating function -- is typically fixed thro…

cs.RO2025

From Grounding to Manipulation: Case Studies of Foundation Model Integration in Embodied Robotic Systems

Xiuchao Sui, Daiying Tian, Qi Sun +4

Foundation models (FMs) are increasingly used to bridge language and action in embodied agents, yet the operational characteristics of different FM integration strategies remain un…

cs.CV2022★ 8 cited

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

Xiuchao Sui, Shaohua Li, Xue Geng +5

Optical flow estimation aims to find the 2D motion field by identifying corresponding pixels between two images. Despite the tremendous progress of deep learning-based optical flow…

cs.CV2021

Few-Shot Domain Adaptation with Polymorphic Transformers

Shaohua Li, Xiuchao Sui, Jie Fu +7

Deep neural networks (DNNs) trained on one set of medical images often experience severe performance drop on unseen test images, due to various domain discrepancy between the train…

eess.IV2021★ 24 cited

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Shaohua Li, Xiuchao Sui, Xiangde Luo +3

Medical image segmentation is important for computer-aided diagnosis. Good segmentation demands the model to see the big picture and fine details simultaneously, i.e., to learn ima…

cs.CV2020

Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations

Shaohua Li, Xiuchao Sui, Jie Fu +2

Convolutional Neural Networks (CNNs) are known to be brittle under various image transformations, including rotations, scalings, and changes of lighting conditions. We observe that…

cs.RO2019★ 5 cited

RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization

Tianying Wang, Wei Qi Toh, Hao Zhang +4

Robotic drawing has become increasingly popular as an entertainment and interactive tool. In this paper we present RoboCoDraw, a real-time collaborative robot-based drawing system…

cs.CV2019★ 3 cited

Multi-Instance Multi-Scale CNN for Medical Image Classification

Shaohua Li, Yong Liu, Xiuchao Sui +4

Deep learning for medical image classification faces three major challenges: 1) the number of annotated medical images for training are usually small; 2) regions of interest (ROIs)…