Xianghan Meng

According to our database, Xianghan Meng authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Jointly Learning Structured Representations and Stabilized Affinity for Human Motion Segmentation.

Xianghan Meng, Zhiyuan Huang, Zhengyu Tong, Chun-Guang Li

CoRR, May, 2026

Multi-Modal Representation Learning via Semi-Supervised Rate Reduction for Generalized Category Discovery.

Wei He, Xianghan Meng, Zhiyuan Huang, Xianbiao Qi, Rong Xiao, Chun-Guang Li

CoRR, February, 2026

MiTA Attention: Efficient Fast-Weight Scaling via a Mixture of Top-k Activations.

Qishuai Wen, Zhiyuan Huang, Xianghan Meng, Wei He, Chun-Guang Li

CoRR, February, 2026

2025

scCDAN: Constraint domain adaptation network for cell type annotation across single cell RNA sequencing data.

Junliang Shang, Yan Zhao, Baojuan Qin, Limin Zhang, Xianghan Meng, Daohui Ge, Jin-Xin Liu

Neurocomputing, 2025

PDA-GTGCN: Identification of PiRNA-Disease Associations Based on Group Feature Transformation Graph Convolutional Network.

Xiaoqi Tang, Xianghan Meng, Junliang Shang, Baojuan Qin, Xin He, Yan Zhao, Daohui Ge, Feng Li, Jin-Xing Liu

Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025

Exploring a Principled Framework for Deep Subspace Clustering.

Xianghan Meng, Zhiyuan Huang, Wei He, Xianbiao Qi, Rong Xiao, Chun-Guang Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PDA-PAGCN: Predicting Disease-Related PiRNA Based on Proxy Attention Graph Convolutional Network.

Xiaotong Kong, Xianghan Meng, Junliang Shang, Linqian Zhao, Yuanyuan Zhang, Jin-Xing Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Temporal Rate Reduction Clustering for Human Motion Segmentation.

Xianghan Meng, Zhengyu Tong, Zhiyuan Huang, Chun-Guang Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association Prediction.

Junliang Shang, Linqian Zhao, Xin He, Xianghan Meng, Limin Zhang, Daohui Ge, Feng Li, Jin-Xing Liu

IEEE J. Biomed. Health Informatics, November, 2024

Graph Cut-Guided Maximal Coding Rate Reduction for Learning Image Embedding and Clustering.

Wei He, Zhiyuan Huang, Xianghan Meng, Xianbiao Qi, Rong Xiao, Chun-Guang Li

Proceedings of the Computer Vision - ACCV 2024, 2024