Yingyi Ma

According to our database, Yingyi Ma authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Recovering from Privacy-Preserving Masking with Large Language Models.

Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli

Proceedings of the IEEE International Conference on Acoustics, 2024

Contextual Biasing of Named-Entities with Large Language Models.

Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma, Zhe Liu, Lucas Kabela, Yutong Pang, Ozlem Kalinli

Proceedings of the IEEE International Conference on Acoustics, 2024

Correction Focused Language Model Training For Speech Recognition.

Yingyi Ma, Zhe Liu, Ozlem Kalinli

Proceedings of the IEEE International Conference on Acoustics, 2024

Effective Internal Language Model Training and Fusion for Factorized Transducer Model.

Jinxi Guo, Niko Moritz, Yingyi Ma, Frank Seide, Chunyang Wu, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer

Proceedings of the IEEE International Conference on Acoustics, 2024

DOC-RAG: ASR Language Model Personalization with Domain-Distributed Co-occurrence Retrieval Augmentation.

Puneet Mathur, Zhe Liu, Ke Li, Yingyi Ma, Gil Keren, Zeeshan Ahmed, Dinesh Manocha, Xuedong Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Recovering from Privacy-Preserving Masking with Large Language Models.

Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli

CoRR, 2023

Adaptive Multi-Corpora Language Model Training for Speech Recognition.

Yingyi Ma, Zhe Liu, Xuedong Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

PersonaLM: Language Model Personalization via Domain-distributed Span Aggregated K-Nearest N-gram Retrieval Augmentation.

Puneet Mathur, Zhe Liu, Ke Li, Yingyi Ma, Gil Keren, Zeeshan Ahmed, Dinesh Manocha, Xuedong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning.

Yingyi Ma, Xinhua Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Proximal Mapping for Deep Regularization.

Mao Li, Yingyi Ma, Xinhua Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space.

Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Learning Invariant Representations with Kernel Warping.

Yingyi Ma, Vignesh Ganapathiraman, Xinhua Zhang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019