1 code implementation • 27 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.
no code implementations • 11 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.
no code implementations • 11 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.
2 code implementations • 15 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.
1 code implementation • 4 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.
no code implementations • 21 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.
1 code implementation • 15 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.
no code implementations • 29 Sep 2022 • Hongyu Guo, Kun Xie, Mehdi Keyvan-Ekbatani
Lane changes are complex driving behaviors and frequently involve safety-critical situations.
1 code implementation • 10 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.