activity
20202026
most citedMEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation

15 citations · 25 across the 5 of their papers we have counts for

collaborators

9 papers

cs.AI2026

Pooled Leaderboards Hide System-Specific Winners: A Reporting-Protocol Audit of Offline Root-Cause Analysis Benchmarks

Lining Hu, Ting Liu, Yuzhuo Fu

Offline root-cause-analysis (RCA) benchmarks commonly rank methods by a single pooled top-1 accuracy across multiple subsystems, and engineers often read the pooled winner as a rec…

cs.CV2024

Understanding Robustness of Parameter-Efficient Tuning for Image Classification

Jiacheng Ruan, Xian Gao, Suncheng Xiang +3

Parameter-efficient tuning (PET) techniques calibrate the model's predictions on downstream tasks by freezing the pre-trained models and introducing a small number of learnable par…

cs.CV2024

MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios

Jiacheng Ruan, Wenzhen Yuan, Zehao Lin +5

Large visual-language models (LVLMs) have achieved great success in multiple applications. However, they still encounter challenges in complex scenes, especially those involving ca…

cs.CL2023

LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming

Jingsheng Gao, Yixin Lian, Ziyi Zhou +2

Open-domain dialogue systems have made promising progress in recent years. While the state-of-the-art dialogue agents are built upon large-scale text-based social media data and la…

eess.IV20227 cited

MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation

Jiacheng Ruan, Suncheng Xiang, Mingye Xie +2

Recently, some pioneering works have preferred applying more complex modules to improve segmentation performances. However, it is not friendly for actual clinical environments due…

eess.IV202215 cited

MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation

Jiacheng Ruan, Mingye Xie, Suncheng Xiang +2

Recently, Visual Transformer (ViT) has been widely used in various fields of computer vision due to applying self-attention mechanism in the spatial domain to modeling global knowl…