Search Results for author: Kun Xie

Found 9 papers, 5 papers with code

Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation

1 code implementation27 Feb 2025 Kang Liu, Zhuoqi Ma, Xiaolu Kang, Yunan Li, Kun Xie, Zhicheng Jiao, Qiguang Miao

Specifically, we introduce a multi-view longitudinal contrastive learning method that integrates spatial information from current multi-view images and temporal information from longitudinal data.

Contrastive Learning Diagnostic

Towards More Accurate Full-Atom Antibody Co-Design

no code implementations11 Feb 2025 Jiayang Wu, Xingyi Zhang, Xiangyu Dong, Kun Xie, Ziqi Liu, Wensheng Gan, Sibo Wang, Le Song

Antibody co-design represents a critical frontier in drug development, where accurate prediction of both 1D sequence and 3D structure of complementarity-determining regions (CDRs) is essential for targeting specific epitopes.

Specificity

Fast and Accurate Antibody Sequence Design via Structure Retrieval

no code implementations11 Feb 2025 Xingyi Zhang, Kun Xie, Ningqiao Huang, Wei Liu, Peilin Zhao, Sibo Wang, Kangfei Zhao, Biaobin Jiang

Recent advancements in protein design have leveraged diffusion models to generate structural scaffolds, followed by a process known as protein inverse folding, which involves sequence inference on these scaffolds.

Graph Neural Network Protein Design +1

MCL: Multi-view Enhanced Contrastive Learning for Chest X-ray Report Generation

2 code implementations15 Nov 2024 Kang Liu, Zhuoqi Ma, Kun Xie, Zhicheng Jiao, Qiguang Miao

Radiology reports are crucial for planning treatment strategies and enhancing doctor-patient communication, yet manually writing these reports is burdensome for radiologists.

Contrastive Learning Diagnostic

Drone Data Analytics for Measuring Traffic Metrics at Intersections in High-Density Areas

1 code implementation4 Nov 2024 Qingwen Pu, Yuan Zhu, Junqing Wang, Hong Yang, Kun Xie, Shunlai Cui

This study employed over 100 hours of high-altitude drone video data from eight intersections in Hohhot to generate a unique and extensive dataset encompassing high-density urban road intersections in China.

KPG: Key Propagation Graph Generator for Rumor Detection based on Reinforcement Learning

no code implementations21 May 2024 Yusong Zhang, Kun Xie, Xingyi Zhang, Xiangyu Dong, Sibo Wang

In this paper, we propose Key Propagation Graph Generator (KPG), a novel reinforcement learning-based rumor detection framework that generates contextually coherent and informative propagation patterns for events with insufficient topology information, while also identifies indicative substructures for events with redundant and noisy propagation structures.

Data Augmentation Graph Neural Network

Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation

1 code implementation15 May 2024 Kang Liu, Zhuoqi Ma, Mengmeng Liu, Zhicheng Jiao, Xiaolu Kang, Qiguang Miao, Kun Xie

In Stage 1, we introduce factuality-guided contrastive learning for visual representation by maximizing the semantic correspondence between radiographs and corresponding factual descriptions.

Contrastive Learning cross-modal alignment +7

Learning Based Proximity Matrix Factorization for Node Embedding

1 code implementation10 Jun 2021 Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang

Recent progress on node embedding shows that proximity matrix factorization methods gain superb performance and scale to large graphs with millions of nodes.

Link Prediction Node Classification

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