Self-Supervised Chinese Word Segmentation. - Fuchun Peng; Dale Schuurmans (IDA, 2001)

A Simple Closed-Class/Open-Class Factorization for Improved Language Modeling. - Fuchun Peng; Dale Schuurmans (NLPRS, 2001)

A Hierarchical EM Approach to Word Segmentation. - Fuchun Peng; Dale Schuurmans (NLPRS, 2001)

Investigating the Relationship between Word Segmentation Performance and Retrieval Performance in Chinese IR. - Fuchun Peng; Xiangji Huang 001; Dale Schuurmans; Nick Cercone (COLING, 2002)

Waterloo at NTCIR-3: Using Self-supervised Word Segmentation. - Xiangji Huang 001; Fuchun Peng; Dale Schuurmans; Nick Cercone (NTCIR, 2002)

Using self-supervised word segmentation in Chinese information retrieval. - Fuchun Peng; Xiangji Huang 001; Dale Schuurmans; Nick Cercone; Stephen E. Robertson (SIGIR, 2002)

Session Boundary Detection for Association Rule Learning Using n-Gram Language Models. - Xiangji Huang 001; Fuchun Peng; Aijun An; Dale Schuurmans; Nick Cercone (AI, 2003)

Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. - Shaojun Wang; Dale Schuurmans; Fuchun Peng (AISTATS, 2003)

Language Independent Authorship Attribution with Character Level N-Grams. - Fuchun Peng; Dale Schuurmans; Vlado Keselj; Shaojun Wang (EACL, 2003)

Combining Naive Bayes and n-Gram Language Models for Text Classification. - Fuchun Peng; Dale Schuurmans (ECIR, 2003)

Semantic n-gram language modeling with the latent maximum entropy principle. - Shaojun Wang; Dale Schuurmans; Fuchun Peng; Yunxin Zhao (ICASSP (1), 2003)

Learning Mixture Models with the Latent Maximum Entropy Principle. - Shaojun Wang; Dale Schuurmans; Fuchun Peng; Yunxin Zhao (ICML, 2003)

Text classification in Asian languages without word segmentation. - Fuchun Peng; Xiangji Huang 001; Dale Schuurmans; Shaojun Wang (IRAL, 2003)

Language and Task Independent Text Categorization with Simple Language Models. - Fuchun Peng; Dale Schuurmans; Shaojun Wang (HLT-NAACL, 2003)

Boltzmann Machine Learning with the Latent Maximum Entropy Principle. - Shaojun Wang; Dale Schuurmans; Fuchun Peng; Yunxin Zhao (UAI, 2003)

Applying Machine Learning to Text Segmentation for Information Retrieval. - Xiangji Huang 001; Fuchun Peng; Dale Schuurmans; Nick Cercone; Stephen E. Robertson (Inf. Retr., 2003)

Event threading within news topics. - Ramesh Nallapati; Ao Feng; Fuchun Peng; James Allan (CIKM, 2004)

Chinese Segmentation and New Word Detection using Conditional Random Fields. - Fuchun Peng; Fangfang Feng; Andrew McCallum (COLING, 2004)

Accurate Information Extraction from Research Papers using Conditional Random Fields. - Fuchun Peng; Andrew McCallum (HLT-NAACL, 2004)

An Integrated, Conditional Model of Information Extraction and Coreference with Appli. - Ben Wellner; Andrew McCallum; Fuchun Peng; Michael Hay (UAI, 2004)

Augmenting Naive Bayes Classifiers with Statistical Language Models. - Fuchun Peng; Dale Schuurmans; Shaojun Wang (Inf. Retr., 2004)

Dynamic Web log session identification with statistical language models. - Xiangji Huang 001; Fuchun Peng; Aijun An; Dale Schuurmans (J. Assoc. Inf. Sci. Technol., 2004)

Learning mixture models with the regularized latent maximum entropy principle. - Shaojun Wang; Dale Schuurmans; Fuchun Peng; Yunxin Zhao (IEEE Trans. Neural Networks, 2004)

Combining Deep Linguistics Analysis and Surface Pattern Learning: A Hybrid Approach to Chinese Definitional Question Answering. - Fuchun Peng; Ralph M. Weischedel; Ana Licuanan; Jinxi Xu (HLT/EMNLP, 2005)

Combining Statistical Language Models via the Latent Maximum Entropy Principle. - Shaojun Wang; Dale Schuurmans; Fuchun Peng; Yunxin Zhao (Mach. Learn., 2005)

Chinese Named Entity Recognition with Conditional Probabilistic Models. - Aitao Chen; Fuchun Peng; Roy Shan; Gordon Sun (SIGHAN@COLING/ACL, 2006)

Coupling feature selection and machine learning methods for navigational query identification. - Yumao Lu; Fuchun Peng; Xin Li; Nawaaz Ahmed (CIKM, 2006)

Information extraction from research papers using conditional random fields. - Fuchun Peng; Andrew McCallum (Inf. Process. Manag., 2006)

Context sensitive stemming for web search. - Fuchun Peng; Nawaaz Ahmed; Xin Li; Yumao Lu (SIGIR, 2007)

Machine learning for Asian language text classification. - Fuchun Peng; Xiangji Huang 001 (J. Documentation, 2007)

Analyzing web text association to disambiguate abbreviation in queries. - Xing Wei; Fuchun Peng; Benoît Dumoulin (SIGIR, 2008)

Unsupervised query segmentation using generative language models and wikipedia. - Bin Tan; Fuchun Peng (WWW, 2008)

Context sensitive synonym discovery for web search queries. - Xing Wei; Fuchun Peng; Huihsin Tseng; Yumao Lu; Benoît Dumoulin (CIKM, 2009)

Improving Web Search Relevance with Semantic Features. - Yumao Lu; Fuchun Peng; Gilad Mishne; Xing Wei; Benoît Dumoulin (EMNLP, 2009)

Improving search relevance for implicitly temporal queries. - Donald Metzler; Rosie Jones; Fuchun Peng; Ruiqiang Zhang (SIGIR, 2009)

Web Search Query Rewriting. - Rosie Jones; Fuchun Peng (Encyclopedia of Database Systems, 2009)

Search with Synonyms: Problems and Solutions. - Xing Wei; Fuchun Peng; Huihsin Tseng; Yumao Lu; Xuerui Wang; Benoît Dumoulin (COLING (Posters), 2010)

Personalize web search results with user's location. - Yumao Lu; Fuchun Peng; Xing Wei; Benoît Dumoulin (SIGIR, 2010)

An Integrated, Conditional Model of Information Extraction and Coreference with Applications to Citation Matching - Ben Wellner; Andrew McCallum; Fuchun Peng; Michael Hay (CoRR, 2012)

Search results based N-best hypothesis rescoring with maximum entropy classification. - Fuchun Peng; Scott Roy; Ben Shahshahani; Françoise Beaufays (ASRU, 2013)

Pronunciation learning for named-entities through crowd-sourcing. - Attapol T. Rutherford; Fuchun Peng; Françoise Beaufays (INTERSPEECH, 2014)

Fix it where it fails: Pronunciation learning by mining error corrections from speech logs. - Zhenzhen Kou; Daisy Stanton; Fuchun Peng; Françoise Beaufays; Trevor Strohman (ICASSP, 2015)

Automatic pronunciation verification for speech recognition. - Kanishka Rao; Fuchun Peng; Françoise Beaufays (ICASSP, 2015)

Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks. - Kanishka Rao; Fuchun Peng; Hasim Sak; Françoise Beaufays (ICASSP, 2015)

Learning Personalized Pronunciations for Contact Name Recognition. - Antoine Bruguier; Fuchun Peng; Françoise Beaufays (INTERSPEECH, 2016)

Web Search Query Rewriting. - Rosie Jones; Fuchun Peng (Encyclopedia of Database Systems (2nd ed.), 2018)

Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models. - Tianxing He; Jun Liu; Kyunghyun Cho; Myle Ott; Bing Liu 024; James R. Glass; Fuchun Peng (CoRR, 2019)

Efficient Dynamic WFST Decoding for Personalized Language Models. - Jun Liu; Jiedan Zhu; Vishal Kathuria; Fuchun Peng (CoRR, 2019)

An Empirical Study of Efficient ASR Rescoring with Transformers. - Hongzhao Huang; Fuchun Peng (CoRR, 2019)

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)

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)

Training ASR Models By Generation of Contextual Information. - Kritika Singh; Dmytro Okhonko; Jun Liu; Yongqiang Wang 005; Frank Zhang 001; Ross B. Girshick; Sergey Edunov; Fuchun Peng; Yatharth Saraf; Geoffrey Zweig; Abdelrahman Mohamed (ICASSP, 2020)

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

On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models. - Xiaohui Zhang 007; Vimal Manohar; David Zhang; Frank Zhang 001; Yangyang Shi; Nayan Singhal; Julian Chan; Fuchun Peng; Yatharth Saraf; Mike Seltzer (ASRU, 2021)

Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models. - Tianxing He; Jun Liu; Kyunghyun Cho; Myle Ott; Bing Liu 024; James R. Glass; Fuchun Peng (EACL, 2021)

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

Benchmarking LF-MMI, CTC And RNN-T Criteria For Streaming ASR. - Xiaohui Zhang 007; Frank Zhang 001; Chunxi Liu; Kjell Schubert; Julian Chan; Pradyot Prakash; Jun Liu; Ching-Feng Yeh; Fuchun Peng; Yatharth Saraf; Geoffrey Zweig (SLT, 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)

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)

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

Towards measuring fairness in speech recognition: Fair-Speech dataset. - Irina-Elena Veliche; Zhuangqun Huang; Vineeth Ayyat Kochaniyan; Fuchun Peng; Ozlem Kalinli; Michael L. Seltzer (INTERSPEECH, 2024)