Irwin King
ScholarGPS® ID: 78725725011900
Affiliation History
Discipline
Computer Science
Top Specialties
Neural Network | Information Retrieval | Social Network | Data Mining | Artificial Intelligence | Information Management | Knowledge Management | Crowdsourcing | Probability | Supervised Learning | Image Retrieval | Pattern Recognition | Information Engineering | Software Engineering | Collaborative Filtering
Metrics Summary
Publication Count
312
Predicted Citations
16,947
Predicted h-index
61
Ranking
Publications and Citation History
Publications based on Top Specialties
Types of Publication
- Publications
- Books
- Patents
- NIH/NSF
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WWW '24: The ACM Web Conference 2024 (2024) Singapore Singapore |
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling (conference) WWW '24: The ACM Web Conference 2024 (2024) Singapore Singapore |
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization (journal article) IEEE Transactions on Knowledge and Data Engineering, volume 36, issue 5, pages 2213-2223 (2024). |
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions (journal article) IEEE Transactions on Knowledge and Data Engineering, volume 36, issue 5, pages 2026-2040 (2024). |
Proceedings of the AAAI Conference on Artificial Intelligence, volume 38, issue 8, pages 9368-9376 (2024). |
A Diffusion-Based Pre-training Framework for Crystal Property Prediction (journal article) Proceedings of the AAAI Conference on Artificial Intelligence, volume 38, issue 8, pages 8993-9001 (2024). |
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks (journal article) Proceedings of the AAAI Conference on Artificial Intelligence, volume 38, issue 8, pages 8302-8310 (2024). |
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval (journal article) Proceedings of the AAAI Conference on Artificial Intelligence, volume 38, issue 5, pages 4614-4622 (2024). |
Neural Networks, volume 170 (2024). |
Generalized Category Discovery with Clustering Assignment Consistency (book chapter) In Neural Information Processing Springer Nature Singapore (2024) |
Black box medicine (book chapter) In Artificial Intelligence in Medicine Elsevier (2024) |
A survey on graph embedding techniques for biomedical data: Methods and applications (journal article) Information Fusion, volume 100 (2023). |
2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE) (2023) Auckland, New Zealand |
Graph-Based Semi-Supervised Learning: A Comprehensive Review (journal article) IEEE Transactions on Neural Networks and Learning Systems, volume 34, issue 11, pages 8174-8194 (2023). |
Hyperbolic Temporal Network Embedding (journal article) IEEE Transactions on Knowledge and Data Engineering, volume 35, issue 11, pages 11489-11502 (2023). |
Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks (conference) CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management (2023) Birmingham United Kingdom |
Neural Architecture Search for Explainable Networks (book chapter) In ECAI 2023 IOS Press (2023) |
A Survey on Deep Semi-Supervised Learning (journal article) IEEE Transactions on Knowledge and Data Engineering, volume 35, issue 9, pages 8934-8954 (2023). |
KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023) Long Beach CA USA |
Contrastive Cross-scale Graph Knowledge Synergy (conference) KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023) Long Beach CA USA |