Luyang Kong

According to our database, Luyang Kong authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security.

Xuanqing Liu, Luyang Kong, Runhui Wang, Patrick Song, Austin Nevins, Henrik Johnson, Nimish Amlathe, Davor Golac

CoRR, 2024

Neural Locality Sensitive Hashing for Entity Blocking.

Runhui Wang, Luyang Kong, Yefan Tao, Andrew Borthwick, Davor Golac, Henrik Johnson, Shadie Hijazi, Dong Deng, Yongfeng Zhang

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security.

Xuanqing Liu, Runhui Wang, Yang Song, Luyang Kong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning from Natural Language Explanations for Generalizable Entity Matching.

Somin Wadhwa, Adit Krishnan, Runhui Wang, Byron C. Wallace, Luyang Kong

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Textual Dataset Distillation via Language Model Embedding.

Yefan Tao, Luyang Kong, Andrey Kan, Laurent Callot

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2022

Entity Anchored ICD Coding.

Jay DeYoung, Han-Chin Shing, Luyang Kong, Christopher Winestock, Chaitanya Shivade

Proceedings of the AMIA 2022, 2022

2021

Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking.

Denis Jered McInerney, Luyang Kong, Kristjan Arumae, Byron C. Wallace, Parminder Bhatia

CoRR, 2021

Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics.

Luyang Kong, Christopher Winestock, Parminder Bhatia

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Improve black-box sequential anomaly detector relevancy with limited user feedback.

Luyang Kong, Lifan Chen, Ming Chen, Parminder Bhatia, Laurent Callot

CoRR, 2020

Using generative adversarial networks to synthesize artificial financial datasets.

Dmitry Efimov, Di Xu, Luyang Kong, Alexey Nefedov, Archana Anandakrishnan

CoRR, 2020