Qingqiang Sun

Orcid: 0000-0002-7042-5640

According to our database1, Qingqiang Sun authored at least 20 papers between 2019 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SAGER: Self-Evolving User Policy Skills for Recommendation Agent.
CoRR, April, 2026

Task-Aware Retrieval Augmentation for Dynamic Recommendation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
On the Homophily of Heterogeneous Graphs: Understanding and Unleashing.
CoRR, January, 2025

Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On the Cross-type Homophily of Heterogeneous Graphs: Understanding and Unleashing.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Out-of-Distribution Detection with Prototypical Outlier Proxy.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Interdependence-Adaptive Mutual Information Maximization for Graph Contrastive Learning.
IEEE Trans. Knowl. Data Eng., December, 2024

Towards Advanced Unsupervised Representation Learning for Graph-Structured Data.
PhD thesis, 2024

Holistic Memory Diversification for Incremental Learning in Growing Graphs.
CoRR, 2024

A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion.
Appl. Soft Comput., 2024

Report on the 3rd International Workshop on Large-Scale Graph Data Analytics (LSGDA 2024).
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

2023
Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance.
IEEE Trans. Knowl. Data Eng., December, 2023

Towards Higher-order Topological Consistency for Unsupervised Network Alignment.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application.
IEEE Trans. Cybern., 2022

2021
A Survey on Deep Learning for Data-Driven Soft Sensors.
IEEE Trans. Ind. Informatics, 2021

Deep Learning for Industrial KPI Prediction: When Ensemble Learning Meets Semi-Supervised Data.
IEEE Trans. Ind. Informatics, 2021

2019
Probabilistic Sequential Network for Deep Learning of Complex Process Data and Soft Sensor Application.
IEEE Trans. Ind. Informatics, 2019


  Loading...