Zhe Liu - RankMe

37 papers A 3Misc 11Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	Misc	`conf`	Contextual Biasing of Named-Entities with Large Language Models. ICASSP Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma, Zhe Liu, Lucas Kabela, Yutong Pang, Ozlem Kalinli
2024	Misc	`conf`	Correction Focused Language Model Training For Speech Recognition. ICASSP Yingyi Ma, Zhe Liu, Ozlem Kalinli
2024	—	`conf`	DOC-RAG: ASR Language Model Personalization with Domain-Distributed Co-occurrence Retrieval Augmentation. LREC/COLING Puneet Mathur, Zhe Liu, Ke Li, Yingyi Ma, Gil Keren, Zeeshan Ahmed, Dinesh Manocha, Xuedong Zhang
2024	—	`conf`	Effective Text Adaptation For LLM-Based ASR Through Soft Prompt Fine-Tuning. SLT Yingyi Ma, Zhe Liu, Ozlem Kalinli
2024	J	`jnl`	Effective Text Adaptation for LLM-based ASR through Soft Prompt Fine-Tuning. CoRR Yingyi Ma, Zhe Liu, Ozlem Kalinli
2024	A	`conf`	Evaluating Speech Recognition Performance Towards Large Language Model Based Voice Assistants. INTERSPEECH Zhe Liu, Suyoun Kim, Ozlem Kalinli
2024	Misc	`conf`	Forgetting Private Textual Sequences in Language Models Via Leave-One-Out Ensemble. ICASSP Zhe Liu, Ozlem Kalinli
2024	Misc	`conf`	Recovering from Privacy-Preserving Masking with Large Language Models. ICASSP Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli
2023	Misc	`conf`	Adaptive Multi-Corpora Language Model Training for Speech Recognition. ICASSP Yingyi Ma, Zhe Liu, Xuedong Zhang
2023	J	`jnl`	Contextual Biasing of Named-Entities with Large Language Models. CoRR Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma, Zhe Liu, Lucas Kabela, Yutong Pang, Ozlem Kalinli
2023	J	`jnl`	Correction Focused Language Model Training for Speech Recognition. CoRR Yingyi Ma, Zhe Liu, Ozlem Kalinli
2023	J	`jnl`	Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble. CoRR Zhe Liu, Ozlem Kalinli
2023	Misc	`conf`	Group Personalized Federated Learning. ICASSP Zhe Liu, Yue Hui, Fuchun Peng
2023	Misc	`conf`	Mitigating Unintended Memorization in Language Models Via Alternating Teaching. ICASSP Zhe Liu, Xuedong Zhang, Fuchun Peng
2023	A	`conf`	Modeling Dependent Structure for Utterances in ASR Evaluation. INTERSPEECH Zhe Liu, Fuchun Peng
2023	—	`conf`	PersonaLM: Language Model Personalization via Domain-distributed Span Aggregated K-Nearest N-gram Retrieval Augmentation. EMNLP (Findings) Puneet Mathur, Zhe Liu, Ke Li, Yingyi Ma, Gil Keren, Zeeshan Ahmed, Dinesh Manocha, Xuedong Zhang
2023	J	`jnl`	Recovering from Privacy-Preserving Masking with Large Language Models. CoRR Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli
2022	J	`jnl`	Adaptive Multi-Corpora Language Model Training for Speech Recognition. CoRR Yingyi Ma, Zhe Liu, Xuedong Zhang
2022	J	`jnl`	Group Personalized Federated Learning. CoRR Zhe Liu, Yue Hui, Fuchun Peng
2022	J	`jnl`	Mitigating Unintended Memorization in Language Models via Alternating Teaching. CoRR Zhe Liu, Xuedong Zhang, Fuchun Peng
2022	Misc	`conf`	Model-Based Approach for Measuring the Fairness in ASR. ICASSP Zhe Liu, Irina-Elena Veliche, Fuchun Peng
2022	J	`jnl`	Modeling Dependent Structure for Utterances in ASR Evaluation. CoRR Zhe Liu, Fuchun Peng
2022	Misc	`conf`	Neural-FST Class Language Model for End-to-End Speech Recognition. ICASSP Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer
2022	J	`jnl`	Neural-FST Class Language Model for End-to-End Speech Recognition. CoRR Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer
2021	Misc	`conf`	Federated Marginal Personalization for ASR Rescoring. ICASSP Zhe Liu, Fuchun Peng
2021	J	`jnl`	Model-Based Approach for Measuring the Fairness in ASR. CoRR Zhe Liu, Irina-Elena Veliche, Fuchun Peng
2021	J	`jnl`	Private Language Model Adaptation for Speech Recognition. CoRR Zhe Liu, Ke Li, Shreyan Bakshi, Fuchun Peng
2020	Misc	`conf`	An Empirical Study of Transformer-Based Neural Language Model Adaptation. ICASSP Ke Li, Zhe Liu, Tianxing He, Hongzhao Huang, Fuchun Peng, Daniel Povey, Sanjeev Khudanpur
2020	J	`jnl`	Federated Marginal Personalization for ASR Rescoring. CoRR Zhe Liu, Fuchun Peng
2020	A	`conf`	Statistical Testing on ASR Performance via Blockwise Bootstrap. INTERSPEECH Zhe Liu, Fuchun Peng
2019	J	`jnl`	Improving N-gram Language Models with Pre-trained Deep Transformer. CoRR Yiren Wang, Hongzhao Huang, Zhe Liu, Yutong Pang, Yongqiang Wang, ChengXiang Zhai, Fuchun Peng
2019	J	`jnl`	Statistical Testing on ASR Performance via Blockwise Bootstrap. CoRR Zhe Liu
2014	—	`conf`	Blossom Tree Graphical Models. NIPS Zhe Liu, John D. Lafferty
2012	J	`jnl`	Support Vector Machines with L Int. J. Data Min. Bioinform. Yuanyuan Shen, Zhe Liu, Jürg Ott
2011	J	`jnl`	Multilocus association mapping using generalized ridge logistic regression. BMC Bioinform. Zhe Liu, Yuanyuan Shen, Jurg Ott
2010	—	`conf`	Detecting gene-gene interactions using support vector machines with L1 penalty. BIBM Workshops Yuanyuan Shen, Zhe Liu, Jurg Ott
2010	—	`conf`	P-value distribution in case-control association studies. BIBM Workshops Zhe Liu, Jurg Ott, Yuanyuan Shen