| 2025 | ICASSP | Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition. | Keqi Deng, Jinxi Guo, Yingyi Ma, Niko Moritz, Philip C. Woodland, Ozlem Kalinli, Mike Seltzer |
| 2024 | COLING | 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 |
| 2024 | ICASSP | 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 |
| 2024 | ICASSP | Correction Focused Language Model Training For Speech Recognition. | Yingyi Ma, Zhe Liu, Ozlem Kalinli |
| 2024 | ICASSP | Contextual Biasing of Named-Entities with Large Language Models. | Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma, Zhe Liu, Lucas Kabela, Yutong Pang, Ozlem Kalinli |
| 2024 | ICASSP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | ICASSP | Adaptive Multi-Corpora Language Model Training for Speech Recognition. | Yingyi Ma, Zhe Liu, Xuedong Zhang |
| 2022 | AISTATS | Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning. | Yingyi Ma, Xinhua Zhang |
| 2020 | ICML | Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space. | Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang |
| 2019 | AISTATS | Learning Invariant Representations with Kernel Warping. | Yingyi Ma, Vignesh Ganapathiraman, Xinhua Zhang |