Xiuwen Gong

Orcid: 0000-0002-1078-1571

According to our database1, Xiuwen Gong authored at least 35 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Unified Knowledge-Guided Molecular Graph Encoder with multimodal fusion and multi-task learning.
Neural Networks, 2025

2024
Dimensionality Reduction via Multiple Neighborhood-Aware Nonlinear Collaborative Analysis for Hyperspectral Image Classification.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

HSCN: Semi-Supervised ALS Point Cloud Semantic Segmentation via Hybrid Structure Constraint Network.
IEEE Trans. Geosci. Remote. Sens., 2024

CrCD: Multidirection-MLP-Based Cross-Contrastive Disambiguation for Hyperspectral Image Partial Label Learning.
IEEE Trans. Geosci. Remote. Sens., 2024

DCENet: Diff-Feature Contrast Enhancement Network for Semi-Supervised Hyperspectral Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Learnable Background Endmember With Subspace Representation for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction.
CoRR, 2024

Regressor-free Molecule Generation to Support Drug Response Prediction.
CoRR, 2024

EMVCC: Enhanced Multi-View Contrastive Clustering for Hyperspectral Images.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Contrastive Learning Drug Response Models from Natural Language Supervision.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Unsupervised Deep Graph Structure and Embedding Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Contrastive Transformer Masked Image Hashing for Degraded Image Retrieval.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Does Label Smoothing Help Deep Partial Label Learning?
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Discriminative Metric Learning for Partial Label Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

A Unifying Probabilistic Framework for Partially Labeled Data Learning.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Attention Multihop Graph and Multiscale Convolutional Fusion Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Recurrent Residual Dual Attention Network for Airborne Laser Scanning Point Cloud Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023

Multiscale Diff-Changed Feature Fusion Network for Hyperspectral Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Dual-View Spectral and Global Spatial Feature Fusion Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Anomaly Detection of Hyperspectral Image With Hierarchical Antinoise Mutual-Incoherence- Induced Low-Rank Representation.
IEEE Trans. Geosci. Remote. Sens., 2023

Classification via Structure-Preserved Hypergraph Convolution Network for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2023

Multilevel Context Feature Fusion for Semantic Segmentation of ALS Point Cloud.
IEEE Geosci. Remote. Sens. Lett., 2023

CLNode: Curriculum Learning for Node Classification.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Relation Preference Oriented High-order Sampling for Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022
Top- Partial Label Machine.
IEEE Trans. Neural Networks Learn. Syst., 2022

Generalized Large Margin $k$NN for Partial Label Learning.
IEEE Trans. Multim., 2022

Partial Label Learning via Label Influence Function.
Proceedings of the International Conference on Machine Learning, 2022

Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Understanding Partial Multi-Label Learning via Mutual Information.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast Multi-label Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Online Metric Learning for Multi-Label Classification.
CoRR, 2020

Online Metric Learning for Multi-Label Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2015
Mining Top K Spread Sources for a Specific Topic and a Given Node.
IEEE Trans. Cybern., 2015

Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015


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