Search Results for author: Yaqi Wang

Found 33 papers, 11 papers with code

Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine

1 code implementation29 Nov 2024 Zhi Li, Kai Zhao, Yaqi Wang, Shuai Wang

To mitigate memory bottlenecks and optimize prompt frame selection during the inference of 2D image sequences, we developed an automated system, the Adaptive Frame Selection Engine (AFSE).

Interactive Segmentation Medical Image Analysis +1

SRSA: A Cost-Efficient Strategy-Router Search Agent for Real-world Human-Machine Interactions

no code implementations21 Nov 2024 Yaqi Wang, Haipei Xu

Recently, as Large Language Models (LLMs) have shown impressive emerging capabilities and gained widespread popularity, research on LLM-based search agents has proliferated.

Informativeness

Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMU

no code implementations20 Nov 2024 Haojia Sun, Yaqi Wang, Shuting Zhang

We designed a Retrieval-Augmented Generation (RAG) system to provide large language models with relevant documents for answering domain-specific questions about Pittsburgh and Carnegie Mellon University (CMU).

Question Answering RAG +1

Class-balanced Open-set Semi-supervised Object Detection for Medical Images

no code implementations22 Aug 2024 Zhanyun Lu, Renshu Gu, Huimin Cheng, Siyu Pang, Mingyu Xu, Peifang Xu, Yaqi Wang, Yuichiro Kinoshita, Juan Ye, Gangyong Jia, Qing Wu

In this paper, we consider the open-set semi-supervised object detection problem which leverages unlabeled data that contain OOD classes to improve object detection for medical images.

Object object-detection +3

SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning

no code implementations22 Jul 2024 Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao, Osmar Zaiane

Text style transfer, an important research direction in natural language processing, aims to adapt the text to various preferences but often faces challenges with limited resources.

Style Transfer Text Style Transfer

MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer

1 code implementation15 May 2024 Chengyu Wu, Chengkai Wang, Yaqi Wang, Huiyu Zhou, Yatao Zhang, Qifeng Wang, Shuai Wang

In addition, efficient and effective interactions between multi-modal representations need to be further explored, lacking insightful exploration of prognostic correlation in multi-modality features.

Representation Learning

Large Language Model based Multi-Agents: A Survey of Progress and Challenges

1 code implementation21 Jan 2024 Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

To provide the community with an overview of this dynamic field, we present this survey to offer an in-depth discussion on the essential aspects of multi-agent systems based on LLMs, as well as the challenges.

Decision Making Language Modelling +1

PMP-Swin: Multi-Scale Patch Message Passing Swin Transformer for Retinal Disease Classification

no code implementations20 Nov 2023 Zhihan Yang, Zhiming Cheng, Tengjin Weng, Shucheng He, Yaqi Wang, Xin Ye, Shuai Wang

Specifically, we design a Patch Message Passing (PMP) module based on the Message Passing mechanism to establish global interaction for pathological semantic features and to exploit the subtle differences further between different diseases.

Multi-class Classification

TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction

no code implementations13 Nov 2023 Ruiquan Ge, Xiangyang Hu, Rungen Huang, Gangyong Jia, Yaqi Wang, Renshu Gu, Changmiao Wang, Elazab Ahmed, Linyan Wang, Juan Ye, Ye Li

In TTMFN, we present a two-stream multimodal co-attention transformer module to take full advantage of the complex relationships between different modalities and the potential connections within the modalities.

Survival Prediction

Enhancing Point Annotations with Superpixel and Confidence Learning Guided for Improving Semi-Supervised OCT Fluid Segmentation

no code implementations5 Jun 2023 Tengjin Weng, Yang shen, Kai Jin, Zhiming Cheng, Yunxiang Li, Gewen Zhang, Shuai Wang, Yaqi Wang

Specifically, we use points to annotate fluid regions in unlabeled OCT images and the Superpixel-Guided Pseudo-Label Generation (SGPLG) module generates pseudo-labels and pixel-level label trust maps from the point annotations.

Denoising Pseudo Label +1

CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation

1 code implementation2 Aug 2022 Weiwei Cui, Yaqi Wang, Yilong Li, Dan Song, Xingyong Zuo, Jiaojiao Wang, Yifan Zhang, Huiyu Zhou, Bung san Chong, Liaoyuan Zeng, Qianni Zhang

This work provides a new benchmark for the tooth volume segmentation task, and the experiment can serve as the baseline for future AI-based dental imaging research and clinical application development.

Active Learning Segmentation

Plug-and-play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping

no code implementations8 Mar 2022 Yunxiang Li, Ruilong Dan, Shuai Wang, Yifan Cao, Xiangde Luo, Chenghao Tan, Gangyong Jia, Huiyu Zhou, You Zhang, Yaqi Wang, Li Wang

For instance, the model trained on a dataset with specific imaging parameters cannot be well applied to other datasets with different imaging parameters.

Skull Stripping Source-Free Domain Adaptation

Semantic Similarity Computing Model Based on Multi Model Fine-Grained Nonlinear Fusion

no code implementations5 Feb 2022 Peiying Zhang, Xingzhe Huang, Yaqi Wang, Chunxiao Jiang, Shuqing He, Haifeng Wang

Experimental results show that the matching of sentence similarity calculation method based on multi model nonlinear fusion is 84%, and the F1 value of the model is 75%.

Semantic Similarity Semantic Textual Similarity +2

Dispensed Transformer Network for Unsupervised Domain Adaptation

no code implementations28 Oct 2021 Yunxiang Li, Jingxiong Li, Ruilong Dan, Shuai Wang, Kai Jin, Guodong Zeng, Jun Wang, Xiangji Pan, Qianni Zhang, Huiyu Zhou, Qun Jin, Li Wang, Yaqi Wang

To mitigate this problem, a novel unsupervised domain adaptation (UDA) method named dispensed Transformer network (DTNet) is introduced in this paper.

Medical Image Analysis Unsupervised Domain Adaptation

3D Object Detection Combining Semantic and Geometric Features from Point Clouds

no code implementations10 Oct 2021 Hao Peng, Guofeng Tong, Zheng Li, Yaqi Wang, Yuyuan Shao

The SGNet proposed in this paper has achieved state-of-the-art results for 3D object detection in the KITTI dataset, especially in the detection of small-size objects such as cyclists.

3D Object Detection Object +1

GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation

1 code implementation30 Sep 2021 Yunxiang Li, Shuai Wang, Jun Wang, Guodong Zeng, Wenjun Liu, Qianni Zhang, Qun Jin, Yaqi Wang

In this paper, we propose a novel end-to-end U-Net like Group Transformer Network (GT U-Net) for the tooth root segmentation.

Anatomy Segmentation

Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images

1 code implementation26 Sep 2021 Yibao Sun, Giussepi Lopez, Yaqi Wang, Xingru Huang, Huiyu Zhou, Qianni Zhang

Cancer segmentation in whole-slide images is a fundamental step for viable tumour burden estimation, which is of great value for cancer assessment.

Decoder feature selection +2

Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings

1 code implementation2 Jul 2021 Yibao Sun, Xingru Huang, Yaqi Wang, Huiyu Zhou, Qianni Zhang

Experimental results show that the SMSE improves the performance for histopathological image classification tasks for both breast and liver cancers by a large margin compared to previous methods.

Histopathological Image Classification Image Classification +1

AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy

1 code implementation2 May 2021 Yunxiang Li, Guodong Zeng, Yifan Zhang, Jun Wang, Qianni Zhang, Qun Jin, Lingling Sun, Qisi Lian, Neng Xia, Ruizi Peng, Kai Tang, Yaqi Wang, Shuai Wang

Accurate evaluation of the treatment result on X-ray images is a significant and challenging step in root canal therapy since the incorrect interpretation of the therapy results will hamper timely follow-up which is crucial to the patients' treatment outcome.

Anatomy General Classification

Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images

1 code implementation11 Nov 2020 Jingxiong Li, Yaqi Wang, Shuai Wang, Jun Wang, Jun Liu, Qun Jin, Lingling Sun

Moreover, massive data collection is impractical for a newly emerged disease, which limited the performance of data thirsty deep learning models.

Classification COVID-19 Diagnosis +1

An Adaptive Enhancement Based Hybrid CNN Model for Digital Dental X-ray Positions Classification

no code implementations1 May 2020 Yaqi Wang, Lingling Sun, Yifang Zhang, Dailin Lv, Zhixing Li, Wuteng Qi

In this project, a novel solution based on adaptive histogram equalization and convolution neural network (CNN) is proposed, which automatically performs the task for dental x-rays.

General Classification Specificity

A cascade network for Detecting COVID-19 using chest x-rays

no code implementations1 May 2020 Dailin Lv, Wuteng Qi, Yunxiang Li, Lingling Sun, Yaqi Wang

Then we used SEME-DenseNet169 for fine-grained classification of viral pneumonia and determined if it is caused by COVID-19.

DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation

no code implementations3 Mar 2020 Hanxiao Zhang, Jingxiong Li, Mali Shen, Yaqi Wang, Guang-Zhong Yang

Segmentation of brain tumors and their subregions remains a challenging task due to their weak features and deformable shapes.

Brain Tumor Segmentation Segmentation +1

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