Search Results for author: Yuhao Huang

Found 32 papers, 9 papers with code

Dual-Space Optimization: Improved Molecule Sequence Design by Latent Prompt Transformer

no code implementations27 Feb 2024 Deqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig, Ming Xu, Shuanghong Xue, Pei Lin, Sanping Zhou, Sheng Zhong, Nanning Zheng, Ying Nian Wu

Designing molecules with desirable properties, such as drug-likeliness and high binding affinities towards protein targets, is a challenging problem.

Latent Plan Transformer: Planning as Latent Variable Inference

no code implementations7 Feb 2024 Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu

We introduce the Latent Plan Transformer (LPT), a novel model that leverages a latent space to connect a Transformer-based trajectory generator and the final return.

FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound

no code implementations30 Oct 2023 Chaoyu Chen, Xin Yang, Yuhao Huang, Wenlong Shi, Yan Cao, Mingyuan Luo, Xindi Hu, Lei Zhue, Lequan Yu, Kejuan Yue, Yuanji Zhang, Yi Xiong, Dong Ni, Weijun Huang

However, accurately estimating the 3D fetal pose in US volume has several challenges, including poor image quality, limited GPU memory for tackling high dimensional data, symmetrical or ambiguous anatomical structures, and considerable variations in fetal poses.

Pose Estimation Self-Supervised Learning

Molecule Design by Latent Prompt Transformer

no code implementations5 Oct 2023 Deqian Kong, Yuhao Huang, Jianwen Xie, Ying Nian Wu

This paper proposes a latent prompt Transformer model for solving challenging optimization problems such as molecule design, where the goal is to find molecules with optimal values of a target chemical or biological property that can be computed by an existing software.

Property Prediction

PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation

no code implementations26 Aug 2023 Ao Chang, Xing Tao, Xin Yang, Yuhao Huang, Xinrui Zhou, Jiajun Zeng, Ruobing Huang, Dong Ni

It can prevent the highly unfavorable scenarios, such as encountering a blank mask as the initial input after the first interaction.

Image Segmentation Medical Image Segmentation +3

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis

no code implementations16 Aug 2023 Han Zhou, Dong Ni, Ao Chang, Xinrui Zhou, Rusi Chen, Yanlin Chen, Lian Liu, Jiamin Liang, Yuhao Huang, Tong Han, Zhe Liu, Deng-Ping Fan, Xin Yang

Second, to better preserve the integrity and textural information of US images, we implemented a dual-decoder that decouples the content and textural features in the generator.

Sampling-Priors-Augmented Deep Unfolding Network for Robust Video Compressive Sensing

no code implementations14 Jul 2023 Yuhao Huang, Gangrong Qu, Youran Ge

Video Compressed Sensing (VCS) aims to reconstruct multiple frames from one single captured measurement, thus achieving high-speed scene recording with a low-frame-rate sensor.

Compressive Sensing Video Compressive Sensing

GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration

1 code implementation26 Jun 2023 Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang

In this study, we construct a registration model based on the gradient surgery mechanism, named GSMorph, to achieve a hyperparameter-free balance on multiple losses.

Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification

no code implementations5 Jun 2023 Yuhao Huang, Xin Yang, Xiaoqiong Huang, Xinrui Zhou, Haozhe Chi, Haoran Dou, Xindi Hu, Jian Wang, Xuedong Deng, Dong Ni

Second, we introduce a regularization technique that utilizes style interpolation consistency in the frequency space to encourage self-consistency in the logit space of the model output.

Robust classification Test

Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

1 code implementation5 Jun 2023 Xinrui Zhou, Yuhao Huang, Wufeng Xue, Xin Yang, Yuxin Zou, Qilong Ying, Yuanji Zhang, Jia Liu, Jie Ren, Dong Ni

First, to avoid the requirement of laborious and unreliable annotation, we propose a novel and effective video classification network for weakly-supervised CSG.

Video Classification

Segment Anything Model for Medical Images?

1 code implementation28 Apr 2023 Yuhao Huang, Xin Yang, Lian Liu, Han Zhou, Ao Chang, Xinrui Zhou, Rusi Chen, Junxuan Yu, Jiongquan Chen, Chaoyu Chen, Sijing Liu, Haozhe Chi, Xindi Hu, Kejuan Yue, Lei LI, Vicente Grau, Deng-Ping Fan, Fajin Dong, Dong Ni

To fully validate SAM's performance on medical data, we collected and sorted 53 open-source datasets and built a large medical segmentation dataset with 18 modalities, 84 objects, 125 object-modality paired targets, 1050K 2D images, and 6033K masks.

Image Segmentation Medical Image Segmentation +3

VPFusion: Towards Robust Vertical Representation Learning for 3D Object Detection

no code implementations6 Apr 2023 Yuhao Huang, Sanping Zhou, Junjie Zhang, Jinpeng Dong, Nanning Zheng

The backbone divides point clouds into voxels and pillars, then encodes features with 3D and 2D sparse convolution simultaneously.

3D Object Detection object-detection +1

Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization

1 code implementation18 Jul 2022 Yuhao Huang, Hang Dong, Jinshan Pan, Chao Zhu, Yu Guo, Ding Liu, Lean Fu, Fei Wang

We develop two simple yet effective plug and play methods to improve the performance of existing local and non-local propagation-based VSR algorithms on widely-used public videos.

Video Super-Resolution

Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

no code implementations1 Jul 2022 Jiamin Liang, Xin Yang, Yuhao Huang, Kai Liu, Xinrui Zhou, Xindi Hu, Zehui Lin, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni

First, leveraging the advantages of self- and fully-supervised learning, our proposed system is trained in weakly-supervised manner for keypoint detection.

Keypoint Detection Vocal Bursts Intensity Prediction

How can I investigate causal brain networks with iEEG?

no code implementations14 May 2022 Yuhao Huang, Corey Keller

While many human imaging methodologies probe the structural and functional connectivity of the brain, techniques to investigate cortical networks in a causal and directional manner are critical but limited.

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis

no code implementations14 Apr 2022 Jiamin Liang, Xin Yang, Yuhao Huang, Haoming Li, Shuangchi He, Xindi Hu, Zejian Chen, Wufeng Xue, Jun Cheng, Dong Ni

Our main contributions include: 1) we present the first work that can synthesize realistic B-mode US images with high-resolution and customized texture editing features; 2) to enhance structural details of generated images, we propose to introduce auxiliary sketch guidance into a conditional GAN.

Generative Adversarial Network Image Generation

HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images

no code implementations14 Apr 2022 Jikuan Qian, Rui Li, Xin Yang, Yuhao Huang, Mingyuan Luo, Zehui Lin, Wenhui Hong, Ruobing Huang, Haining Fan, Dong Ni, Jun Cheng

The hybrid framework consists of a pre-trained backbone and several searched cells (i. e., network building blocks), which takes advantage of the strengths of both NAS and the expert knowledge from existing convolutional neural networks.

Image Classification Neural Architecture Search +1

Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring

1 code implementation9 Dec 2021 Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang, Lean Fu, Fei Wang

Instead of estimating alignment information, we propose a simple and effective deep Recurrent Neural Network with Multi-scale Bi-directional Propagation (RNN-MBP) to effectively propagate and gather the information from unaligned neighboring frames for better video deblurring.

Deblurring Video Restoration

Parallel Physics-Informed Neural Networks with Bidirectional Balance

1 code implementation10 Nov 2021 Yuhao Huang

As an emerging technology in deep learning, physics-informed neural networks (PINNs) have been widely used to solve various partial differential equations (PDEs) in engineering.

Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip

no code implementations10 Jun 2021 Xindi Hu, LiMin Wang, Xin Yang, Xu Zhou, Wufeng Xue, Yan Cao, Shengfeng Liu, Yuhao Huang, Shuangping Guo, Ning Shang, Dong Ni, Ning Gu

In this study, we propose a multi-task framework to learn the relationships among landmarks and structures jointly and automatically evaluate DDH.

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