Shaojun Wang

发表

Learning latent variable models with bregman divergences

Shaojun Wang, D. Schummans, 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..

The latent maximum entropy principle

Dale Schuurmans, R. Rosenfeld, Shaojun Wang, 2002, Proceedings IEEE International Symposium on Information Theory,.

Shape Time Discriminative Classification of Video Objects

Dale Schuurmans, Shaojun Wang, C. Lei, 2022 .

Statistical Recursive Estimation Algorithms for Speaker Adaption

Shaojun Wang, Shaojun Wang, 2001 .

Latent Maximum Entropy Approach for Semantic N-gram Language Modeling

Dale Schuurmans, Fuchun Peng, Shaojun Wang, 2003, AISTATS.

Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields

Dale Schuurmans, Russell Greiner, Li Cheng, 2004, 2004 International Symposium on Chinese Spoken Language Processing.

Modeling Speech Structure to Improve T-F Masks for Speech Enhancement and Recognition

Shaojun Wang, Yunxin Zhao, Suliang Bu, 2022, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Almost sure convergence of Titterington's recursive estimator for mixture models

Shaojun Wang, Yunxin Zhao, 2002, Proceedings IEEE International Symposium on Information Theory,.

Online Bayesian tree-structured transformation of HMMs with optimal model selection for speaker adaptation

Yunxin Zhao, Shaojun Wang, Shaojun Wang, 2001, IEEE Trans. Speech Audio Process..

Multi-Objective Multi-Task Learning on RNNLM for Speech Recognition

Yunxin Zhao, Shaojun Wang, Minguang Song, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

implicit Online Learning with Kernels

Dale Schuurmans, S. V. N. Vishwanathan, Terry Caelli, 2006, NIPS.

Consistency and Generalization Bounds for Maximum Entropy Density Estimation

Russell Greiner, Shaojun Wang, Shaomin Wang, 2013, Entropy.

Learning Continuous Latent Variable Models with Bregman Divergences

Dale Schuurmans, Shaojun Wang, Dale Schuurmans, 2003, ALT.

Latent maximum entropy principle for statistical language modeling

Yunxin Zhao, Shaojun Wang, Roni Rosenfeld, 2001, IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01..

The latent maximum entropy principle

Dale Schuurmans, Yunxin Zhao, Shaojun Wang, 2002, Proceedings IEEE International Symposium on Information Theory,.

Learning Recurrent Neural Network Language Models With Context-Sensitive Label Smoothing for Automatic Speech Recognition

Shaojun Wang, Mei Han, Minguang Song, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Almost sure convergence of Titterington's recursive estimator for mixture models

Shaojun Wang, Yunxin Zhao, Shaojun Wang, 2002, Proceedings IEEE International Symposium on Information Theory,.

Optimal on-line Bayesian model selection for speaker adaptation

Yunxin Zhao, Shaojun Wang, Shaojun Wang, 2000, INTERSPEECH.

Learning Speech Structure to Improve Time-Frequency Masks

Shaojun Wang, Yunxin Zhao, Suliang Bu, 2021, Interspeech.

Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields

Dale Schuurmans, Russell Greiner, Shaojun Wang, 2004, 2004 International Symposium on Chinese Spoken Language Processing.

Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling

Dale Schuurmans, Chi-Hoon Lee, Russell Greiner, 2006, ACL.

Text Classification in Asian Languages without Word Segmentation

Dale Schuurmans, Xiangji Huang, Fuchun Peng, 2003, IRAL.

Language and Task Independent Text Categorization with Simple Language Models

Dale Schuurmans, Fuchun Peng, Shaojun Wang, 2003, NAACL.

Slim Embedding Layers for Recurrent Neural Language Models

Shuang Wu, Zhongliang Li, Yunxin Zhao, 2017, AAAI.

Learning mixture models with the regularized latent maximum entropy principle

Dale Schuurmans, Fuchun Peng, Yunxin Zhao, 2004, IEEE Transactions on Neural Networks.

Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model

Dale Schuurmans, Russell Greiner, Shaojun Wang, 2006, ICGI.

Language independent authorship attribution using character level language models

Dale Schuurmans, Vlado Keselj, Fuchun Peng, 2003, Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - EACL '03.

Language Independent Authorship Attribution with Character Level N-Grams

Dale Schuurmans, Vlado Keselj, Fuchun Peng, 2003, EACL.

Augmenting Naive Bayes Classifiers with Statistical Language Models

Dale Schuurmans, Fuchun Peng, Shaojun Wang, 2004, Information Retrieval.