Search Results for author: Jintai Chen

Found 14 papers, 7 papers with code

PGformer: Proxy-Bridged Game Transformer for Multi-Person Extremely Interactive Motion Prediction

no code implementations6 Jun 2023 Yanwen Fang, Chao Li, Jintai Chen, PengTao Jiang, Yifeng Geng, Xuansong Xie, Eddy K. F. LAM, Guodong Li

In this paper, we focus on motion prediction for multiple persons with extreme collaborations and attempt to explore the relationships between the highly interactive persons' motion trajectories.

motion prediction

Cross-Layer Retrospective Retrieving via Layer Attention

1 code implementation8 Feb 2023 Yanwen Fang, Yuxi Cai, Jintai Chen, Jingyu Zhao, Guangjian Tian, Guodong Li

Motivated by this, we devise a cross-layer attention mechanism, called multi-head recurrent layer attention (MRLA), that sends a query representation of the current layer to all previous layers to retrieve query-related information from different levels of receptive fields.

Image Classification Instance Segmentation +3

ExcelFormer: A Neural Network Surpassing GBDTs on Tabular Data

no code implementations7 Jan 2023 Jintai Chen, Jiahuan Yan, Danny Ziyi Chen, Jian Wu

Though deep neural networks have gained enormous successes in various fields (e. g., computer vision) with supervised learning, they have so far been still trailing after the performances of GBDTs on tabular data.

T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction

1 code implementation30 Nov 2022 Jiahuan Yan, Jintai Chen, Yixuan Wu, Danny Z. Chen, Jian Wu

Recent development of deep neural networks (DNNs) for tabular learning has largely benefited from the capability of DNNs for automatic feature interaction.

Robust Training of Graph Neural Networks via Noise Governance

1 code implementation12 Nov 2022 Siyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z. Chen, Jian Wu

To address these issues, we propose a novel RTGNN (Robust Training of Graph Neural Networks via Noise Governance) framework that achieves better robustness by learning to explicitly govern label noise.


Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network

1 code implementation16 Jun 2022 Yuexin Bian, Jintai Chen, Xiaojun Chen, Xiaoxian Yang, Danny Z. Chen, Jian Wu

Automatic ECG classification methods, especially the deep learning based ones, have been proposed to detect cardiac abnormalities using ECG records, showing good potential to improve clinical diagnosis and help early prevention of cardiovascular diseases.

Clinical Knowledge ECG Classification

D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation

1 code implementation3 Jan 2022 Yixuan Wu, Kuanlun Liao, Jintai Chen, Jinhong Wang, Danny Z. Chen, Honghao Gao, Jian Wu

In this paper, we propose a new method called Dilated Transformer, which conducts self-attention for pair-wise patch relations captured alternately in local and global scopes.

Image Segmentation Medical Image Segmentation +1

DANets: Deep Abstract Networks for Tabular Data Classification and Regression

1 code implementation6 Dec 2021 Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu

A special basic block is built using AbstLays, and we construct a family of Deep Abstract Networks (DANets) for tabular data classification and regression by stacking such blocks.


Electrocardio Panorama: Synthesizing New ECG Views with Self-supervision

1 code implementation12 May 2021 Jintai Chen, Xiangshang Zheng, Hongyun Yu, Danny Z. Chen, Jian Wu

For the first time, we propose a new concept, Electrocardio Panorama, which allows visualizing ECG signals from any queried viewpoints.

Self-Supervised Learning

Doctor Imitator: Hand-Radiography-based Bone Age Assessment by Imitating Scoring Methods

no code implementations10 Feb 2021 Jintai Chen, Bohan Yu, Biwen Lei, Ruiwei Feng, Danny Z. Chen, Jian Wu

The architecture of DI is designed to learn the diagnostic logistics of doctors using the scoring methods (e. g., the Tanner-Whitehouse method) for bone age assessment.


Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels

no code implementations9 Feb 2021 Jintai Chen, Hongyun Yu, Ruiwei Feng, Danny Z. Chen, Jian Wu

In clinical practice, medical image interpretation often involves multi-labeled classification, since the affected parts of a patient tend to present multiple symptoms or comorbidities.

Image Classification Medical Image Classification

A Hierarchical Graph Network for 3D Object Detection on Point Clouds

no code implementations CVPR 2020 Jintai Chen, Biwen Lei, Qingyu Song, Haochao Ying, Danny Z. Chen, Jian Wu

Next, a new GConv based Proposal Reasoning Module reasons on the proposals considering the global scene semantics, and the bounding boxes are then predicted.

3D Object Detection object-detection

Cannot find the paper you are looking for? You can Submit a new open access paper.