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2020 – today
- 2024
[i17]Irina-Elena Veliche, Zhuangqun Huang, Vineeth Ayyat Kochaniyan, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer:
Towards measuring fairness in speech recognition: Fair-Speech dataset. CoRR abs/2408.12734 (2024)- 2023
- [c48]Zhe Liu, Yue Hui, Fuchun Peng:
Group Personalized Federated Learning. ICASSP 2023: 1-5 - [c47]Zhe Liu, Xuedong Zhang, Fuchun Peng:
Mitigating Unintended Memorization in Language Models Via Alternating Teaching. ICASSP 2023: 1-5 - [c46]Zhe Liu, Fuchun Peng:
Modeling Dependent Structure for Utterances in ASR Evaluation. INTERSPEECH 2023: 3237-3241 - 2022
- [c45]Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer:
Neural-FST Class Language Model for End-to-End Speech Recognition. ICASSP 2022: 6107-6111 - [c44]Zhe Liu, Irina-Elena Veliche, Fuchun Peng:
Model-Based Approach for Measuring the Fairness in ASR. ICASSP 2022: 6532-6536 - [i16]Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer:
Neural-FST Class Language Model for End-to-End Speech Recognition. CoRR abs/2201.11867 (2022) - [i15]Zhe Liu, Fuchun Peng:
Modeling Dependent Structure for Utterances in ASR Evaluation. CoRR abs/2209.05281 (2022) - [i14]Zhe Liu, Yue Hui, Fuchun Peng:
Group Personalized Federated Learning. CoRR abs/2210.01863 (2022) - [i13]Zhe Liu, Xuedong Zhang, Fuchun Peng:
Mitigating Unintended Memorization in Language Models via Alternating Teaching. CoRR abs/2210.06772 (2022) - 2021
- [c43]Xiaohui Zhang, Vimal Manohar, David Zhang, Frank Zhang, Yangyang Shi, Nayan Singhal, Julian Chan, Fuchun Peng, Yatharth Saraf, Mike Seltzer:
On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models. ASRU 2021: 1026-1033 - [c42]Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James R. Glass, Fuchun Peng:
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models. EACL 2021: 1121-1133 - [c41]Zhe Liu, Fuchun Peng:
Federated Marginal Personalization for ASR Rescoring. ICASSP 2021: 7388-7392 - [c40]Xiaohui Zhang, Frank Zhang, Chunxi Liu, Kjell Schubert, Julian Chan, Pradyot Prakash, Jun Liu, Ching-Feng Yeh, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig:
Benchmarking LF-MMI, CTC And RNN-T Criteria For Streaming ASR. SLT 2021: 46-51 - [i12]Xiaohui Zhang, Vimal Manohar, David Zhang, Frank Zhang, Yangyang Shi, Nayan Singhal, Julian Chan, Fuchun Peng, Yatharth Saraf, Mike Seltzer:
On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models. CoRR abs/2107.04154 (2021) - [i11]Zhe Liu, Irina-Elena Veliche, Fuchun Peng:
Model-Based Approach for Measuring the Fairness in ASR. CoRR abs/2109.09061 (2021) - [i10]Zhe Liu, Ke Li, Shreyan Bakshi, Fuchun Peng:
Private Language Model Adaptation for Speech Recognition. CoRR abs/2110.10026 (2021) - 2020
- [c39]Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Training ASR Models By Generation of Contextual Information. ICASSP 2020: 7864-7868 - [c38]Ke Li, Zhe Liu, Tianxing He, Hongzhao Huang, Fuchun Peng, Daniel Povey, Sanjeev Khudanpur:
An Empirical Study of Transformer-Based Neural Language Model Adaptation. ICASSP 2020: 7934-7938 - [c37]Zhe Liu, Fuchun Peng:
Statistical Testing on ASR Performance via Blockwise Bootstrap. INTERSPEECH 2020: 596-600 - [i9]Xiaohui Zhang, Frank Zhang, Chunxi Liu, Kjell Schubert, Julian Chan, Pradyot Prakash, Jun Liu, Ching-Feng Yeh, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig:
Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR. CoRR abs/2011.04785 (2020) - [i8]Zhe Liu, Fuchun Peng:
Federated Marginal Personalization for ASR Rescoring. CoRR abs/2012.00898 (2020)
2010 – 2019
- 2019
- [i7]Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James R. Glass, Fuchun Peng:
Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models. CoRR abs/1910.07117 (2019) - [i6]Jun Liu, Jiedan Zhu, Vishal Kathuria, Fuchun Peng:
Efficient Dynamic WFST Decoding for Personalized Language Models. CoRR abs/1910.10670 (2019) - [i5]Hongzhao Huang, Fuchun Peng:
An Empirical Study of Efficient ASR Rescoring with Transformers. CoRR abs/1910.11450 (2019) - [i4]Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Training ASR models by Generation of Contextual Information. CoRR abs/1910.12367 (2019) - [i3]Yiren Wang, Hongzhao Huang, Zhe Liu, Yutong Pang, Yongqiang Wang, ChengXiang Zhai, Fuchun Peng:
Improving N-gram Language Models with Pre-trained Deep Transformer. CoRR abs/1911.10235 (2019) - 2018
- [r2]Rosie Jones, Fuchun Peng:
Web Search Query Rewriting. Encyclopedia of Database Systems (2nd ed.) 2018 - 2016
- [c36]Antoine Bruguier, Fuchun Peng, Françoise Beaufays:
Learning Personalized Pronunciations for Contact Name Recognition. INTERSPEECH 2016: 3096-3100 - 2015
- [c35]Kanishka Rao, Fuchun Peng, Hasim Sak, Françoise Beaufays:
Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks. ICASSP 2015: 4225-4229 - [c34]Zhenzhen Kou, Daisy Stanton, Fuchun Peng, Françoise Beaufays, Trevor Strohman:
Fix it where it fails: Pronunciation learning by mining error corrections from speech logs. ICASSP 2015: 4619-4623 - [c33]Kanishka Rao, Fuchun Peng, Françoise Beaufays:
Automatic pronunciation verification for speech recognition. ICASSP 2015: 5162-5166 - 2014
- [c32]Attapol T. Rutherford, Fuchun Peng, Françoise Beaufays:
Pronunciation learning for named-entities through crowd-sourcing. INTERSPEECH 2014: 1448-1452 - 2013
- [c31]Fuchun Peng, Scott Roy, Ben Shahshahani, Françoise Beaufays:
Search results based N-best hypothesis rescoring with maximum entropy classification. ASRU 2013: 422-427 - 2012
- [i2]Ben Wellner, Andrew McCallum, Fuchun Peng, Michael Hay:
An Integrated, Conditional Model of Information Extraction and Coreference with Applications to Citation Matching. CoRR abs/1207.4157 (2012) - [i1]Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Boltzmann Machine Learning with the Latent Maximum Entropy Principle. CoRR abs/1212.2514 (2012) - 2010
- [c30]Xing Wei, Fuchun Peng, Huihsin Tseng, Yumao Lu, Xuerui Wang, Benoît Dumoulin:
Search with Synonyms: Problems and Solutions. COLING (Posters) 2010: 1318-1326 - [c29]Yumao Lu, Fuchun Peng, Xing Wei, Benoît Dumoulin:
Personalize web search results with user's location. SIGIR 2010: 763-764
2000 – 2009
- 2009
- [c28]Xing Wei, Fuchun Peng, Huihsin Tseng, Yumao Lu, Benoît Dumoulin:
Context sensitive synonym discovery for web search queries. CIKM 2009: 1585-1588 - [c27]Yumao Lu, Fuchun Peng, Gilad Mishne, Xing Wei, Benoît Dumoulin:
Improving Web Search Relevance with Semantic Features. EMNLP 2009: 648-657 - [c26]Donald Metzler, Rosie Jones, Fuchun Peng, Ruiqiang Zhang:
Improving search relevance for implicitly temporal queries. SIGIR 2009: 700-701 - [r1]Rosie Jones, Fuchun Peng:
Web Search Query Rewriting. Encyclopedia of Database Systems 2009: 3491-3493 - 2008
- [c25]Xing Wei, Fuchun Peng, Benoît Dumoulin:
Analyzing web text association to disambiguate abbreviation in queries. SIGIR 2008: 751-752 - [c24]Bin Tan, Fuchun Peng:
Unsupervised query segmentation using generative language models and wikipedia. WWW 2008: 347-356 - 2007
- [j7]Fuchun Peng, Xiangji Huang
:
Machine learning for Asian language text classification. J. Documentation 63(3): 378-397 (2007) - [c23]Fuchun Peng, Nawaaz Ahmed, Xin Li, Yumao Lu:
Context sensitive stemming for web search. SIGIR 2007: 639-646 - 2006
- [j6]Fuchun Peng, Andrew McCallum:
Information extraction from research papers using conditional random fields. Inf. Process. Manag. 42(4): 963-979 (2006) - [c22]Aitao Chen, Fuchun Peng, Roy Shan, Gordon Sun:
Chinese Named Entity Recognition with Conditional Probabilistic Models. SIGHAN@COLING/ACL 2006: 173-176 - [c21]Yumao Lu, Fuchun Peng, Xin Li, Nawaaz Ahmed:
Coupling feature selection and machine learning methods for navigational query identification. CIKM 2006: 682-689 - 2005
- [j5]Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Combining Statistical Language Models via the Latent Maximum Entropy Principle. Mach. Learn. 60(1-3): 229-250 (2005) - [c20]Fuchun Peng, Ralph M. Weischedel, Ana Licuanan, Jinxi Xu:
Combining Deep Linguistics Analysis and Surface Pattern Learning: A Hybrid Approach to Chinese Definitional Question Answering. HLT/EMNLP 2005: 307-314 - 2004
- [j4]Fuchun Peng, Dale Schuurmans, Shaojun Wang:
Augmenting Naive Bayes Classifiers with Statistical Language Models. Inf. Retr. 7(3-4): 317-345 (2004) - [j3]Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans:
Dynamic Web log session identification with statistical language models. J. Assoc. Inf. Sci. Technol. 55(14): 1290-1303 (2004) - [j2]Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Learning mixture models with the regularized latent maximum entropy principle. IEEE Trans. Neural Networks 15(4): 903-916 (2004) - [c19]Ramesh Nallapati, Ao Feng, Fuchun Peng, James Allan:
Event threading within news topics. CIKM 2004: 446-453 - [c18]Fuchun Peng, Fangfang Feng, Andrew McCallum:
Chinese Segmentation and New Word Detection using Conditional Random Fields. COLING 2004 - [c17]Fuchun Peng, Andrew McCallum:
Accurate Information Extraction from Research Papers using Conditional Random Fields. HLT-NAACL 2004: 329-336 - [c16]Ben Wellner, Andrew McCallum, Fuchun Peng, Michael Hay:
An Integrated, Conditional Model of Information Extraction and Coreference with Appli. UAI 2004: 593-601 - 2003
- [j1]Xiangji Huang, Fuchun Peng, Dale Schuurmans, Nick Cercone, Stephen E. Robertson:
Applying Machine Learning to Text Segmentation for Information Retrieval. Inf. Retr. 6(3-4): 333-362 (2003) - [c15]Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans, Nick Cercone:
Session Boundary Detection for Association Rule Learning Using n-Gram Language Models. AI 2003: 237-251 - [c14]Shaojun Wang, Dale Schuurmans, Fuchun Peng:
Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. AISTATS 2003: 316-322 - [c13]Fuchun Peng, Dale Schuurmans, Vlado Keselj, Shaojun Wang:
Language Independent Authorship Attribution with Character Level N-Grams. EACL 2003: 267-274 - [c12]Fuchun Peng, Dale Schuurmans:
Combining Naive Bayes and n-Gram Language Models for Text Classification. ECIR 2003: 335-350 - [c11]Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Semantic n-gram language modeling with the latent maximum entropy principle. ICASSP (1) 2003: 376-379 - [c10]Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Learning Mixture Models with the Latent Maximum Entropy Principle. ICML 2003: 784-791 - [c9]Fuchun Peng, Xiangji Huang, Dale Schuurmans, Shaojun Wang:
Text classification in Asian languages without word segmentation. IRAL 2003: 41-48 - [c8]Fuchun Peng, Dale Schuurmans, Shaojun Wang:
Language and Task Independent Text Categorization with Simple Language Models. HLT-NAACL 2003 - [c7]Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Boltzmann Machine Learning with the Latent Maximum Entropy Principle. UAI 2003: 567-574 - 2002
- [c6]Fuchun Peng, Xiangji Huang, Dale Schuurmans, Nick Cercone:
Investigating the Relationship between Word Segmentation Performance and Retrieval Performance in Chinese IR. COLING 2002 - [c5]Xiangji Huang, Fuchun Peng, Dale Schuurmans, Nick Cercone:
Waterloo at NTCIR-3: Using Self-supervised Word Segmentation. NTCIR 2002 - [c4]Fuchun Peng, Xiangji Huang, Dale Schuurmans, Nick Cercone, Stephen E. Robertson:
Using self-supervised word segmentation in Chinese information retrieval. SIGIR 2002: 349-350 - 2001
- [c3]Fuchun Peng, Dale Schuurmans:
Self-Supervised Chinese Word Segmentation. IDA 2001: 238-247 - [c2]Fuchun Peng, Dale Schuurmans:
A Simple Closed-Class/Open-Class Factorization for Improved Language Modeling. NLPRS 2001: 145-152 - [c1]Fuchun Peng, Dale Schuurmans:
A Hierarchical EM Approach to Word Segmentation. NLPRS 2001: 475-480
Coauthor Index
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