12 citations · 29 across the 17 of their papers we have counts for
18 papers
ST-ColoNet: Spatio-Temporal Colon Segment Recognition via Hybrid Attention and Edge-Guided Feature Learning
Crystal Cai, Ziyi Wang, Zhengjie Zhang +3
Colo-segment recognition in colonoscopy videos is a key requirement for many downstream tasks, but existing automatic recognition methods only use colonoscopy images without fully…
ARA: Adaptive Rank Allocation for Efficient Large Language Model SVD Compression
Lin Xv, Jingsheng Gao, Xian Gao +2
In the field of large language model (LLM) compression, singular value decomposition (SVD) is a widely studied and adopted low-rank decomposition technique. Since SVD operates excl…
Beyond Uniform SVD:Dual-Level Optimization across Columns and Modules for LLM Compression
Lin Xv, Xian Gao, Ting Li +1
Low-rank decomposition, particularly Singular Value Decomposition (SVD), is a pivotal technique for mitigating the storage and computational demands of Large Language Models (LLMs)…
MMReview: A Multidisciplinary and Multimodal Benchmark for LLM-Based Peer Review Automation
Xian Gao, Jiacheng Ruan, Zongyun Zhang +3
With the rapid growth of academic publications, peer review has become an essential yet time-consuming responsibility within the research community. Large Language Models (LLMs) ha…
ReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews
Xian Gao, Jiacheng Ruan, Zongyun Zhang +3
Academic paper review is a critical yet time-consuming task within the research community. With the increasing volume of academic publications, automating the review process has be…
From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes
Xian Gao, Jiacheng Ruan, Jingsheng Gao +4
Analyzing student behavior in educational scenarios is crucial for enhancing teaching quality and student engagement. Existing AI-based models often rely on classroom video footage…
SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback
Jingsheng Gao, Linxu Li, Weiyuan Li +2
RAG systems consist of multiple modules to work together. However, these modules are usually separately trained. We argue that a system like RAG that incorporates multiple modules…
iDAT: inverse Distillation Adapter-Tuning
Jiacheng Ruan, Jingsheng Gao, Mingye Xie +4
Adapter-Tuning (AT) method involves freezing a pre-trained model and introducing trainable adapter modules to acquire downstream knowledge, thereby calibrating the model for better…
Oceanship: A Large-Scale Dataset for Underwater Audio Target Recognition
Zeyu Li, Suncheng Xiang, Tong Yu +5
The recognition of underwater audio plays a significant role in identifying a vessel while it is in motion. Underwater target recognition tasks have a wide range of applications in…
LAMM: Label Alignment for Multi-Modal Prompt Learning
Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang +5
With the success of pre-trained visual-language (VL) models such as CLIP in visual representation tasks, transferring pre-trained models to downstream tasks has become a crucial pa…
GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction
Jiacheng Ruan, Jingsheng Gao, Mingye Xie +4
The Parameter-Efficient Fine-Tuning (PEFT) method, which adjusts or introduces fewer trainable parameters to calibrate pre-trained models on downstream tasks, has become a recent r…
Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation
Jiacheng Ruan, Jingsheng Gao, Mingye Xie +1
Recently, Visual Transformer (ViT) has been extensively used in medical image segmentation (MIS) due to applying self-attention mechanism in the spatial domain to modeling global k…
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation
Jiacheng Ruan, Mingye Xie, Jingsheng Gao +2
Transformer and its variants have been widely used for medical image segmentation. However, the large number of parameter and computational load of these models make them unsuitabl…
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…
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification
Ke Ji, Yixin Lian, Jingsheng Gao +1
Due to the complex label hierarchy and intensive labeling cost in practice, the hierarchical text classification (HTC) suffers a poor performance especially when low-resource or fe…
Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification
Suncheng Xiang, Jingsheng Gao, Mengyuan Guan +5
Generalizable person re-identification (Re-ID) is a very hot research topic in machine learning and computer vision, which plays a significant role in realistic scenarios due to it…
CluCDD:Contrastive Dialogue Disentanglement via Clustering
Jingsheng Gao, Zeyu Li, Suncheng Xiang +2
A huge number of multi-participant dialogues happen online every day, which leads to difficulty in understanding the nature of dialogue dynamics for both humans and machines. Dialo…
Rethinking Person Re-Identification via Semantic-Based Pretraining
Suncheng Xiang, Jingsheng Gao, Zirui Zhang +5
Pretraining is a dominant paradigm in computer vision. Generally, supervised ImageNet pretraining is commonly used to initialize the backbones of person re-identification (Re-ID) m…