P-value distribution in case-control association studies. - Zhe Liu 011; Jurg Ott; Yuanyuan Shen (BIBM Workshops, 2010)

Detecting gene-gene interactions using support vector machines with L1 penalty. - Yuanyuan Shen; Zhe Liu 011; Jurg Ott (BIBM Workshops, 2010)

Multilocus association mapping using generalized ridge logistic regression. - Zhe Liu 011; Yuanyuan Shen; Jurg Ott (BMC Bioinform., 2011)

Support Vector Machines with L1 penalty for detecting gene-gene interactions. - Yuanyuan Shen; Zhe Liu 011; Jürg Ott (Int. J. Data Min. Bioinform., 2012)

Blossom Tree Graphical Models. - Zhe Liu 011; John D. Lafferty (NIPS, 2014)

Improving N-gram Language Models with Pre-trained Deep Transformer. - Yiren Wang; Hongzhao Huang; Zhe Liu 011; Yutong Pang; Yongqiang Wang; ChengXiang Zhai; Fuchun Peng (CoRR, 2019)

Statistical Testing on ASR Performance via Blockwise Bootstrap. - Zhe Liu 011 (CoRR, 2019)

An Empirical Study of Transformer-Based Neural Language Model Adaptation. - Ke Li 018; Zhe Liu 011; Tianxing He; Hongzhao Huang; Fuchun Peng; Daniel Povey; Sanjeev Khudanpur (ICASSP, 2020)

Statistical Testing on ASR Performance via Blockwise Bootstrap. - Zhe Liu 011; Fuchun Peng (INTERSPEECH, 2020)

Federated Marginal Personalization for ASR Rescoring. - Zhe Liu 011; Fuchun Peng (ICASSP, 2021)

Private Language Model Adaptation for Speech Recognition. - Zhe Liu 011; Ke Li 018; Shreyan Bakshi; Fuchun Peng (CoRR, 2021)

Neural-FST Class Language Model for End-to-End Speech Recognition. - Antoine Bruguier; Duc Le; Rohit Prabhavalkar; Dangna Li; Zhe Liu 011; Bo Wang; Eun Chang; Fuchun Peng; Ozlem Kalinli; Michael L. Seltzer (ICASSP, 2022)

Model-Based Approach for Measuring the Fairness in ASR. - Zhe Liu 011; Irina-Elena Veliche; Fuchun Peng (ICASSP, 2022)

PersonaLM: Language Model Personalization via Domain-distributed Span Aggregated K-Nearest N-gram Retrieval Augmentation. - Puneet Mathur; Zhe Liu 011; Ke Li 018; Yingyi Ma; Gil Keren; Zeeshan Ahmed; Dinesh Manocha; Xuedong Zhang (EMNLP (Findings), 2023)

Group Personalized Federated Learning. - Zhe Liu 011; Yue Hui; Fuchun Peng (ICASSP, 2023)

Mitigating Unintended Memorization in Language Models Via Alternating Teaching. - Zhe Liu 011; Xuedong Zhang; Fuchun Peng (ICASSP, 2023)

Adaptive Multi-Corpora Language Model Training for Speech Recognition. - Yingyi Ma; Zhe Liu 011; Xuedong Zhang (ICASSP, 2023)

Modeling Dependent Structure for Utterances in ASR Evaluation. - Zhe Liu 011; Fuchun Peng (INTERSPEECH, 2023)

DOC-RAG: ASR Language Model Personalization with Domain-Distributed Co-occurrence Retrieval Augmentation. - Puneet Mathur; Zhe Liu 011; Ke Li 018; Yingyi Ma; Gil Keren; Zeeshan Ahmed; Dinesh Manocha; Xuedong Zhang (LREC/COLING, 2024)

Forgetting Private Textual Sequences in Language Models Via Leave-One-Out Ensemble. - Zhe Liu 011; Ozlem Kalinli (ICASSP, 2024)

Correction Focused Language Model Training For Speech Recognition. - Yingyi Ma; Zhe Liu 011; Ozlem Kalinli (ICASSP, 2024)

Contextual Biasing of Named-Entities with Large Language Models. - Chuanneng Sun; Zeeshan Ahmed; Yingyi Ma; Zhe Liu 011; Lucas Kabela; Yutong Pang; Ozlem Kalinli (ICASSP, 2024)

Recovering from Privacy-Preserving Masking with Large Language Models. - Arpita Vats; Zhe Liu 011; Peng Su; Debjyoti Paul; Yingyi Ma; Yutong Pang; Zeeshan Ahmed; Ozlem Kalinli (ICASSP, 2024)

Evaluating Speech Recognition Performance Towards Large Language Model Based Voice Assistants. - Zhe Liu 011; Suyoun Kim; Ozlem Kalinli (INTERSPEECH, 2024)

Effective Text Adaptation For LLM-Based ASR Through Soft Prompt Fine-Tuning. - Yingyi Ma; Zhe Liu 011; Ozlem Kalinli (SLT, 2024)