Xinwei He

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2025
CYCLONE: recycle contrastive learning for integrating single-cell gene expression data.
BMC Bioinform., December, 2025

Tgcpn: two-level grid context propagation network for 3D small object detection.
Pattern Anal. Appl., September, 2025

PyG 2.0: Scalable Learning on Real World Graphs.
CoRR, July, 2025

Multicellular Network-Informed Survival Model for Identification of Drug Targets of Gliomas.
IEEE J. Biomed. Health Informatics, March, 2025

Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection.
CoRR, March, 2025

ContextGNN: Beyond Two-Tower Recommendation Systems.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Integration of scRNA-seq data by disentangled representation learning with condition domain adaptation.
BMC Bioinform., December, 2024

A pixel and channel enhanced up-sampling module for biomedical image segmentation.
Mach. Vis. Appl., March, 2024

ContextGNN: Beyond Two-Tower Recommendation Systems.
CoRR, 2024

RelBench: A Benchmark for Deep Learning on Relational Databases.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Haar wavelet downsampling: A simple but effective downsampling module for semantic segmentation.
Pattern Recognit., November, 2023

scAce: an adaptive embedding and clustering method for single-cell gene expression data.
Bioinform., September, 2023

LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2021
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation.
CoRR, 2021

2020
Complexity of Leading Digit Sequences.
Discret. Math. Theor. Comput. Sci., 2020

2019
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series.
CoRR, 2019

User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Higher-Order Clustering in Heterogeneous Information Networks.
CoRR, 2018

Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression.
Proceedings of the 21st International Conference on Information Fusion, 2018


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