Yiyue Qian

Orcid: 0000-0001-7924-5438

According to our database1, Yiyue Qian authored at least 20 papers between 2020 and 2025.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
AutoData: A Multi-Agent System for Open Web Data Collection.
CoRR, May, 2025

Adaptive Expansion for Hypergraph Learning.
CoRR, February, 2025

Enhancing E-commerce Representation Learning via Hypergraph Contrastive Learning and Interpretable LLM-Driven Analysis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023
Hypergraph Contrastive Learning for Drug Trafficking Community Detection.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Adversarial Cross-View Disentangled Graph Contrastive Learning.
CoRR, 2022

Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Co-Modality Graph Contrastive Learning for Imbalanced Node Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
$\alpha$-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.
IEEE J. Biomed. Health Informatics, 2020

α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19.
CoRR, 2020

Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

dStyle-GAN: Generative Adversarial Network based on Writing and Photography Styles for Drug Identification in Darknet Markets.
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020


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