8 citations · 11 across the 8 of their papers we have counts for
8 papers
TRCGL-Net: A Long-Tailed Multi-Label Chest X-Ray Classification Framework with Generative Data Augmentation and Label Co-Occurrence Modeling
Tong Shao, Hongshun Ling, Li Zhang +4
Chest X-ray multi-label classification is a core task in intelligent medical imaging diagnosis. However, real clinical data often exhibit extreme long-tailed distributions, leading…
BLO-Inst: Bi-Level Optimization Based Alignment of YOLO and SAM for Robust Instance Segmentation
Li Zhang, Pengtao Xie
The Segment Anything Model has revolutionized image segmentation with its zero-shot capabilities, yet its reliance on manual prompts hinders fully automated deployment. While integ…
AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model
Yuchen Li, Li Zhang, Youwei Liang +1
Segment Anything Model (SAM) has gained significant recognition in the field of semantic segmentation due to its versatile capabilities and impressive performance. Despite its succ…
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
Li Zhang, Basu Jindal, Ahmed Alaa +5
Semantic segmentation of medical images is pivotal in applications like disease diagnosis and treatment planning. While deep learning has excelled in automating this task, a major…
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts
Sai Ashish Somayajula, Youwei Liang, Abhishek Singh +2
Pretrained Language Models (PLMs) have advanced Natural Language Processing (NLP) tasks significantly, but finetuning PLMs on low-resource datasets poses significant challenges suc…
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM
Li Zhang, Youwei Liang, Ruiyi Zhang +2
The Segment Anything Model (SAM), a foundation model pretrained on millions of images and segmentation masks, has significantly advanced semantic segmentation, a fundamental task i…
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs
Youwei Liang, Ruiyi Zhang, Li Zhang +1
A ChatGPT-like system for drug compounds could be a game-changer in pharmaceutical research, accelerating drug discovery, enhancing our understanding of structure-activity relation…
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy
Ramtin Hosseini, Li Zhang, Bhanu Garg +1
The integration of machine learning models in various real-world applications is becoming more prevalent to assist humans in their daily decision-making tasks as a result of recent…