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ORCIDLi Deng 0001
Person information
- affiliation: Artificial Intelligence, Citadel, USA
- affiliation: Microsoft Research, Redmond, WA, USA
- affiliation (1989 - 1999): University of Waterloo, Department of Electrical and Computer Engineering, ON, Canada
- affiliation (PhD 1986): University of Wisconsin-Madison, WI, USA
Other persons with the same name
- Li Deng — disambiguation page
- Li Deng 0002
![[0000-0003-1527-0700]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1527-0700")
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China - Li Deng 0003 — Wuhan University of Science and Technology, College of Computer Science and Technology, China (and 1 more)
- Li Deng 0004 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- Li Deng 0005 — University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada (and 1 more)
- Li Deng 0006 — Southwest Petroleum University, School of Mechatronic Engineering / MOE Key Laboratory of Oil and Gas Equipment, Chengdu, China (and 1 more)
- Li Deng 0007 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China (and 1 more)
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2020 – today
- 2023
[i37]Jogi Suda Neto, Li Deng, Thejaswi Raya, Reza Shahbazi, Nick Liu, Adhitya Venkatesh, Miral Shah, Neeru Khosla, Rodrigo Capobianco Guido:
Trusting Language Models in Education. CoRR abs/2308.03866 (2023)- 2020
- [j106]Libo Yang, Bo Fu, Yan Li, Yueping Liu, Wenting Huang, Sha Feng, Lin Xiao, Linyong Sun, Li Deng, Xinyi Zheng, Feng Ye, Hong Bu:
Prediction model of the response to neoadjuvant chemotherapy in breast cancers by a Naive Bayes algorithm. Comput. Methods Programs Biomed. 192: 105458 (2020) - [j105]Xiaodong He, Li Deng, Richard Rose, Minlie Huang, Isabel Trancoso, Chao Zhang:
Introduction to the Special Issue on Deep Learning for Multi-Modal Intelligence Across Speech, Language, Vision, and Heterogeneous Signals. IEEE J. Sel. Top. Signal Process. 14(3): 474-477 (2020) - [j104]Chao Zhang, Zichao Yang, Xiaodong He, Li Deng:
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications. IEEE J. Sel. Top. Signal Process. 14(3): 478-493 (2020)
2010 – 2019
- 2019
- [c190]Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He:
Attentive Tensor Product Learning. AAAI 2019: 1344-1351 - [i36]Yu Liu, Li Deng, Jianshu Chen, Chang Wen Chen:
From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation. CoRR abs/1906.02826 (2019) - [i35]Chao Zhang, Zichao Yang, Xiaodong He, Li Deng:
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications. CoRR abs/1911.03977 (2019) - 2018
- [j103]Li Deng:
Artificial Intelligence in the Rising Wave of Deep Learning: The Historical Path and Future Outlook [Perspectives]. IEEE Signal Process. Mag. 35(1): 180-177 (2018) - [c189]Zachary C. Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng:
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems. AAAI 2018: 5237-5244 - [c188]Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng:
Question-Answering with Grammatically-Interpretable Representations. AAAI 2018: 5350-5357 - [c187]Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng:
Towards Neural Phrase-based Machine Translation. ICLR (Poster) 2018 - [c186]Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Oliver Wu:
Tensor Product Generation Networks for Deep NLP Modeling. NAACL-HLT 2018: 1263-1273 - [p2]Samy Bengio, Li Deng, Louis-Philippe Morency, Björn W. Schuller:
Perspectives on predictive power of multimodal deep learning: surprises and future directions. The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2) 2018: 455-472 - [i34]Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He:
Attentive Tensor Product Learning for Language Generation and Grammar Parsing. CoRR abs/1802.07089 (2018) - 2017
- [j102]Hamid Palangi, Rabab Kreidieh Ward, Li Deng:
Convolutional Deep Stacking Networks for distributed compressive sensing. Signal Process. 131: 181-189 (2017) - [j101]Yonina C. Eldar, Alfred O. Hero III, Li Deng, Jeffrey A. Fessler, Jelena Kovacevic, H. Vincent Poor, Steve J. Young:
Challenges and Open Problems in Signal Processing: Panel Discussion Summary from ICASSP 2017 [Panel and Forum]. IEEE Signal Process. Mag. 34(6): 8-23 (2017) - [j100]Xiaodong He, Li Deng:
Deep Learning for Image-to-Text Generation: A Technical Overview. IEEE Signal Process. Mag. 34(6): 109-116 (2017) - [c185]Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, Li Deng:
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access. ACL (1) 2017: 484-495 - [c184]Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, Li Deng:
StyleNet: Generating Attractive Visual Captions with Styles. CVPR 2017: 955-964 - [c183]Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. CVPR 2017: 1141-1150 - [c182]David Golub, Po-Sen Huang, Xiaodong He, Li Deng:
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. EMNLP 2017: 835-844 - [c181]Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng:
Character-level deep conflation for business data analytics. ICASSP 2017: 2222-2226 - [c180]Xuesong Yang, Yun-Nung Chen, Dilek Hakkani-Tür, Paul A. Crook, Xiujun Li, Jianfeng Gao, Li Deng:
End-to-end joint learning of natural language understanding and dialogue manager. ICASSP 2017: 5690-5694 - [c179]Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng:
Sequence Modeling via Segmentations. ICML 2017: 3674-3683 - [c178]Yu Liu, Jianshu Chen, Li Deng:
Unsupervised Sequence Classification using Sequential Output Statistics. NIPS 2017: 3550-3559 - [c177]Jianshu Chen, Chong Wang, Lin Xiao, Ji He, Lihong Li, Li Deng:
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes. NIPS 2017: 4977-4986 - [i33]Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng:
Character-level Deep Conflation for Business Data Analytics. CoRR abs/1702.02640 (2017) - [i32]Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng:
Sequence Modeling via Segmentations. CoRR abs/1702.07463 (2017) - [i31]Yu Liu, Jianshu Chen, Li Deng:
An Unsupervised Learning Method Exploiting Sequential Output Statistics. CoRR abs/1702.07817 (2017) - [i30]Asli Celikyilmaz, Li Deng, Lihong Li, Chong Wang:
Scaffolding Networks for Teaching and Learning to Comprehend. CoRR abs/1702.08653 (2017) - [i29]Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng:
Deep Learning of Grammatically-Interpretable Representations Through Question-Answering. CoRR abs/1705.08432 (2017) - [i28]Po-Sen Huang, Chong Wang, Dengyong Zhou, Li Deng:
Neural Phrase-based Machine Translation. CoRR abs/1706.05565 (2017) - [i27]David Golub, Po-Sen Huang, Xiaodong He, Li Deng:
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. CoRR abs/1706.09789 (2017) - [i26]Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Oliver Wu:
Tensor Product Generation Networks. CoRR abs/1709.09118 (2017) - [i25]Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Oliver Wu:
A Neural-Symbolic Approach to Natural Language Tasks. CoRR abs/1710.11475 (2017) - 2016
- [j99]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 694-707 (2016) - [j98]Hamid Palangi, Rabab K. Ward, Li Deng:
Distributed Compressive Sensing: A Deep Learning Approach. IEEE Trans. Signal Process. 64(17): 4504-4518 (2016) - [c176]Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf:
Deep Reinforcement Learning with a Natural Language Action Space. ACL (1) 2016 - [c175]Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alexander J. Smola:
Stacked Attention Networks for Image Question Answering. CVPR 2016: 21-29 - [c174]Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng:
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. EMNLP 2016: 1838-1848 - [c173]Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng:
Bi-directional Attention with Agreement for Dependency Parsing. EMNLP 2016: 2204-2214 - [c172]Hamid Palangi, Rabab Kreidieh Ward, Li Deng:
Reconstruction of sparse vectors in compressive sensing with multiple measurement vectors using bidirectional long short-term memory. GlobalSIP 2016: 192-196 - [c171]Jianshu Chen, Ji He, Xiaodong He, Lin Xiao, Jianfeng Gao, Li Deng:
Interpreting the prediction process of a deep network constructed from supervised topic models. ICASSP 2016: 2429-2433 - [c170]Hamid Palangi, Rabab Kreidieh Ward, Li Deng:
Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks. ICASSP 2016: 2692-2696 - [c169]Dilek Hakkani-Tür, Gökhan Tür, Asli Celikyilmaz, Yun-Nung Chen, Jianfeng Gao, Li Deng, Ye-Yi Wang:
Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM. INTERSPEECH 2016: 715-719 - [c168]Kong-Aik Lee, Haizhou Li, Li Deng, Ville Hautamäki, Wei Rao, Xiong Xiao, Anthony Larcher, Hanwu Sun, Trung Hieu Nguyen, Guangsen Wang, Aleksandr Sizov, Jianshu Chen, Ivan Kukanov, Amir Hossein Poorjam, Trung Ngo Trong, Chenglin Xu, Haihua Xu, Bin Ma, Eng Siong Chng, Sylvain Meignier:
The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS. INTERSPEECH 2016: 3211-3215 - [c167]Yun-Nung Chen, Dilek Hakkani-Tür, Gökhan Tür, Jianfeng Gao, Li Deng:
End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Language Understanding. INTERSPEECH 2016: 3245-3249 - [c166]Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng:
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. CoCo@NIPS 2016 - [c165]Yun-Nung Chen, Dilek Hakanni-Tur, Gökhan Tür, Asli Celikyilmaz, Jianfeng Gao, Li Deng:
Syntax or semantics? knowledge-guided joint semantic frame parsing. SLT 2016: 348-355 - [c164]Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng, Paul Smolensky:
Reasoning in Vector Space: An Exploratory Study of Question Answering. ICLR (Poster) 2016 - [i24]Paul Smolensky, Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng:
Basic Reasoning with Tensor Product Representations. CoRR abs/1601.02745 (2016) - [i23]Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng:
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads. CoRR abs/1606.03667 (2016) - [i22]Jianshu Chen, Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng:
Unsupervised Learning of Predictors from Unpaired Input-Output Samples. CoRR abs/1606.04646 (2016) - [i21]Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng:
Bi-directional Attention with Agreement for Dependency Parsing. CoRR abs/1608.02076 (2016) - [i20]Zachary C. Lipton, Jianfeng Gao, Lihong Li, Xiujun Li, Faisal Ahmed, Li Deng:
Efficient Exploration for Dialog Policy Learning with Deep BBQ Networks \& Replay Buffer Spiking. CoRR abs/1608.05081 (2016) - [i19]Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, Li Deng:
End-to-End Reinforcement Learning of Dialogue Agents for Information Access. CoRR abs/1609.00777 (2016) - [i18]Yun-Nung Chen, Dilek Hakkani-Tür, Gökhan Tür, Asli Celikyilmaz, Jianfeng Gao, Li Deng:
Knowledge as a Teacher: Knowledge-Guided Structural Attention Networks. CoRR abs/1609.03286 (2016) - [i17]Zachary C. Lipton, Jianfeng Gao, Lihong Li, Jianshu Chen, Li Deng:
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear. CoRR abs/1611.01211 (2016) - [i16]Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. CoRR abs/1611.08002 (2016) - [i15]Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng:
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. CoRR abs/1611.09268 (2016) - [i14]Xuesong Yang, Yun-Nung Chen, Dilek Hakkani-Tür, Paul A. Crook, Xiujun Li, Jianfeng Gao, Li Deng:
End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager. CoRR abs/1612.00913 (2016) - 2015
- [j97]Zhen-Hua Ling, Shiyin Kang, Heiga Zen, Andrew W. Senior, Mike Schuster, Xiaojun Qian, Helen M. Meng, Li Deng:
Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends. IEEE Signal Process. Mag. 32(3): 35-52 (2015) - [j96]Grégoire Mesnil, Yann N. Dauphin, Kaisheng Yao, Yoshua Bengio, Li Deng, Dilek Hakkani-Tür, Xiaodong He, Larry P. Heck, Gökhan Tür, Dong Yu, Geoffrey Zweig:
Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 530-539 (2015) - [c163]Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell:
Language Models for Image Captioning: The Quirks and What Works. ACL (2) 2015: 100-105 - [c162]Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig:
From captions to visual concepts and back. CVPR 2015: 1473-1482 - [c161]Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. ICDM Workshops 2015: 631-638 - [c160]Xiaodong Liu, Jianfeng Gao, Xiaodong He, Li Deng, Kevin Duh, Ye-Yi Wang:
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval. HLT-NAACL 2015: 912-921 - [c159]Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng:
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture. NIPS 2015: 1765-1773 - [c158]Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng:
Embedding Entities and Relations for Learning and Inference in Knowledge Bases. ICLR (Poster) 2015 - [i13]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. CoRR abs/1502.06922 (2015) - [i12]Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. CoRR abs/1504.02824 (2015) - [i11]Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell:
Language Models for Image Captioning: The Quirks and What Works. CoRR abs/1505.01809 (2015) - [i10]Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng:
End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation. CoRR abs/1508.03398 (2015) - [i9]Hamid Palangi, Rabab K. Ward, Li Deng:
Distributed Compressive Sensing: A Deep Learning Approach. CoRR abs/1508.04924 (2015) - [i8]Xiujun Li, Lihong Li, Jianfeng Gao, Xiaodong He, Jianshu Chen, Li Deng, Ji He:
Recurrent Reinforcement Learning: A Hybrid Approach. CoRR abs/1509.03044 (2015) - [i7]Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alexander J. Smola:
Stacked Attention Networks for Image Question Answering. CoRR abs/1511.02274 (2015) - [i6]Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf:
Deep Reinforcement Learning with an Unbounded Action Space. CoRR abs/1511.04636 (2015) - 2014
- [j95]Li Deng, Dong Yu:
Deep Learning: Methods and Applications. Found. Trends Signal Process. 7(3-4): 197-387 (2014) - [j94]Kaisheng Yao, Dong Yu, Li Deng, Yifan Gong:
A fast maximum likelihood nonlinear feature transformation method for GMM-HMM speaker adaptation. Neurocomputing 128: 145-152 (2014) - [j93]Li Deng, Steve Renals, Marcello Federico, Mari Ostendorf:
Editorial: Expanding the Technical Reach of our Transactions. IEEE ACM Trans. Audio Speech Lang. Process. 22(1): 5 (2014) - [j92]Jinyu Li, Li Deng, Yifan Gong, Reinhold Haeb-Umbach:
An Overview of Noise-Robust Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(4): 745-777 (2014) - [j91]Ossama Abdel-Hamid, Abdel-rahman Mohamed, Hui Jiang, Li Deng, Gerald Penn, Dong Yu:
Convolutional Neural Networks for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(10): 1533-1545 (2014) - [j90]Li Deng:
Farewell editorial: keeping up the momentum of innovations. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1687 (2014) - [c157]Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng:
Learning Continuous Phrase Representations for Translation Modeling. ACL (1) 2014: 699-709 - [c156]Hamid Palangi, Li Deng, Rabab K. Ward:
Recurrent Deep-Stacking Networks for sequence classification. ChinaSIP 2014: 510-514 - [c155]Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grégoire Mesnil:
A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval. CIKM 2014: 101-110 - [c154]Jianfeng Gao, Patrick Pantel, Michael Gamon, Xiaodong He, Li Deng:
Modeling Interestingness with Deep Neural Networks. EMNLP 2014: 2-13 - [c153]Li Deng, Jianshu Chen:
Sequence classification using the high-level features extracted from deep neural networks. ICASSP 2014: 6844-6848 - [c152]Li Deng:
Achievements and challenges of deep learning - from speech analysis and recognition to language and multimodal processing. INTERSPEECH 2014 - [c151]Li Deng, John C. Platt:
Ensemble deep learning for speech recognition. INTERSPEECH 2014: 1915-1919 - [c150]Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grégoire Mesnil:
Learning semantic representations using convolutional neural networks for web search. WWW (Companion Volume) 2014: 373-374 - [c149]Jianshu Chen, Li Deng:
A New Method for Learning Deep Recurrent Neural Networks. ICLR (Workshop Poster) 2014 - [i5]Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng:
Learning Multi-Relational Semantics Using Neural-Embedding Models. CoRR abs/1411.4072 (2014) - [i4]Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig:
From Captions to Visual Concepts and Back. CoRR abs/1411.4952 (2014) - [i3]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Semantic Modelling with Long-Short-Term Memory for Information Retrieval. CoRR abs/1412.6629 (2014) - 2013
- [j89]Sabato Marco Siniscalchi, Dong Yu, Li Deng, Chin-Hui Lee:
Exploiting deep neural networks for detection-based speech recognition. Neurocomputing 106: 148-157 (2013) - [j88]Samy Bengio, Li Deng, Hugo Larochelle, Honglak Lee, Ruslan Salakhutdinov:
Guest Editors' Introduction: Special Section on Learning Deep Architectures. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1795-1797 (2013) - [j87]Brian Hutchinson, Li Deng, Dong Yu:
Tensor Deep Stacking Networks. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1944-1957 (2013) - [j86]Douglas D. O'Shaughnessy, Li Deng, Haizhou Li:
Speech Information Processing: Theory and Applications [Scanning the Issue]. Proc. IEEE 101(5): 1034-1037 (2013) - [j85]Xiaodong He, Li Deng:
Speech-Centric Information Processing: An Optimization-Oriented Approach. Proc. IEEE 101(5): 1116-1135 (2013) - [j84]Sabato Marco Siniscalchi, Dong Yu, Li Deng, Chin-Hui Lee:
Speech Recognition Using Long-Span Temporal Patterns in a Deep Network Model. IEEE Signal Process. Lett. 20(3): 201-204 (2013) - [j83]Dong Yu, Li Deng, Frank Seide:
The Deep Tensor Neural Network With Applications to Large Vocabulary Speech Recognition. IEEE Trans. Speech Audio Process. 21(2): 388-396 (2013) - [j82]Zhen-Hua Ling, Li Deng, Dong Yu:
Modeling Spectral Envelopes Using Restricted Boltzmann Machines and Deep Belief Networks for Statistical Parametric Speech Synthesis. IEEE Trans. Speech Audio Process. 21(10): 2129-2139 (2013) - [j81]Stephen J. Wright, Dimitri Kanevsky, Li Deng, Xiaodong He, Georg Heigold, Haizhou Li:
Optimization Algorithms and Applications for Speech and Language Processing. IEEE Trans. Speech Audio Process. 21(11): 2231-2243 (2013) - [c148]Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, Larry P. Heck:
Learning deep structured semantic models for web search using clickthrough data. CIKM 2013: 2333-2338 - [c147]Po-Sen Huang, Li Deng, Mark Hasegawa-Johnson, Xiaodong He:
Random features for Kernel Deep Convex Network. ICASSP 2013: 3143-3147 - [c146]Li Deng, Xiaodong He, Jianfeng Gao:
Deep stacking networks for information retrieval. ICASSP 2013: 3153-3157 - [c145]Jennifer Gillenwater, Xiaodong He, Jianfeng Gao, Li Deng:
End-to-end learning of parsing models for information retrieval. ICASSP 2013: 3312-3316 - [c144]Hamid Palangi, Rabab K. Ward, Li Deng:
Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors. ICASSP 2013: 3337-3341 - [c143]George E. Dahl, Jack W. Stokes, Li Deng, Dong Yu:
Large-scale malware classification using random projections and neural networks. ICASSP 2013: 3422-3426 - [c142]Li Deng, Ossama Abdel-Hamid, Dong Yu:
A deep convolutional neural network using heterogeneous pooling for trading acoustic invariance with phonetic confusion. ICASSP 2013: 6669-6673 - [c141]Jui-Ting Huang, Jinyu Li, Dong Yu, Li Deng, Yifan Gong:
Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers. ICASSP 2013: 7304-7308 - [c140]Po-Sen Huang, Kshitiz Kumar, Chaojun Liu, Yifan Gong, Li Deng:
Predicting speech recognition confidence using deep learning with word identity and score features. ICASSP 2013: 7413-7417 - [c139]Zhen-Hua Ling, Li Deng, Dong Yu:
Modeling spectral envelopes using restricted Boltzmann machines for statistical parametric speech synthesis. ICASSP 2013: 7825-7829 - [c138]Xiaodong He, Li Deng, Dilek Hakkani-Tür, Gökhan Tür:
Multi-style adaptive training for robust cross-lingual spoken language understanding. ICASSP 2013: 8342-8346 - [c137]Li Deng, Geoffrey E. Hinton, Brian Kingsbury:
New types of deep neural network learning for speech recognition and related applications: an overview. ICASSP 2013: 8599-8603 - [c136]Li Deng, Jinyu Li, Jui-Ting Huang, Kaisheng Yao, Dong Yu, Frank Seide, Michael L. Seltzer, Geoffrey Zweig, Xiaodong He, Jason D. Williams, Yifan Gong, Alex Acero:
Recent advances in deep learning for speech research at Microsoft. ICASSP 2013: 8604-8608 - [c135]Ossama Abdel-Hamid, Li Deng, Dong Yu, Hui Jiang:
Deep segmental neural networks for speech recognition. INTERSPEECH 2013: 1849-1853 - [c134]Ossama Abdel-Hamid, Li Deng, Dong Yu:
Exploring convolutional neural network structures and optimization techniques for speech recognition. INTERSPEECH 2013: 3366-3370 - [c133]Grégoire Mesnil, Xiaodong He, Li Deng, Yoshua Bengio:
Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding. INTERSPEECH 2013: 3771-3775 - [i2]Hamid Palangi, Li Deng, Rabab K. Ward:
Learning Input and Recurrent Weight Matrices in Echo State Networks. CoRR abs/1311.2987 (2013) - [i1]Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng:
Learning Semantic Representations for the Phrase Translation Model. CoRR abs/1312.0482 (2013) - 2012
- [j80]Dong Yu, Li Deng:
Efficient and effective algorithms for training single-hidden-layer neural networks. Pattern Recognit. Lett. 33(5): 554-558 (2012) - [j79]Li Deng:
The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]. IEEE Signal Process. Mag. 29(6): 141-142 (2012) - [j78]Li Deng:
Inaugural Editorial: Riding the Tidal Wave of Human-Centric Information Processing - Innovate, Outreach, Collaborate, Connect, Expand, and Win. IEEE Trans. Speech Audio Process. 20(1): 2-3 (2012) - [j77]George E. Dahl, Dong Yu, Li Deng, Alex Acero:
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition. IEEE Trans. Speech Audio Process. 20(1): 30-42 (2012) - [c132]Xiaodong He, Li Deng:
Maximum Expected BLEU Training of Phrase and Lexicon Translation Models. ACL (1) 2012: 292-301 - [c131]Li Deng, Dong Yu, John C. Platt:
Scalable stacking and learning for building deep architectures. ICASSP 2012: 2133-2136 - [c130]Dong Yu, Sabato Marco Siniscalchi, Li Deng, Chin-Hui Lee:
Boosting attribute and phone estimation accuracies with deep neural networks for detection-based speech recognition. ICASSP 2012: 4169-4172 - [c129]Dong Yu, Frank Seide, Gang Li, Li Deng:
Exploiting sparseness in deep neural networks for large vocabulary speech recognition. ICASSP 2012: 4409-4412 - [c128]Brian Hutchinson, Li Deng, Dong Yu:
A deep architecture with bilinear modeling of hidden representations: Applications to phonetic recognition. ICASSP 2012: 4805-4808 - [c127]Amittai Axelrod, Xiaodong He, Li Deng, Alex Acero, Mei-Yuh Hwang:
New methods and evaluation experiments on translating TED talks in the IWSLT benchmark. ICASSP 2012: 4945-4948 - [c126]Gökhan Tür, Li Deng, Dilek Hakkani-Tür, Xiaodong He:
Towards deeper understanding: Deep convex networks for semantic utterance classification. ICASSP 2012: 5045-5048 - [c125]Xiaodong He, Li Deng:
Optimization in speech-centric information processing: Criteria and techniques. ICASSP 2012: 5241-5244 - [c124]Dong Yu, Li Deng, Frank Seide:
Large Vocabulary Speech Recognition Using Deep Tensor Neural Networks. INTERSPEECH 2012: 6-9 - [c123]Oriol Vinyals, Li Deng:
Are Sparse Representations Rich Enough for Acoustic Modeling? INTERSPEECH 2012: 2570-2573 - [c122]Li Deng, Brian Hutchinson, Dong Yu:
Parallel Training for Deep Stacking Networks. INTERSPEECH 2012: 2598-2601 - [c121]Li Deng:
Learning deep architectures using kernel modules. MLSLP 2012 - [c120]Oriol Vinyals, Yangqing Jia, Li Deng, Trevor Darrell:
Learning with Recursive Perceptual Representations. NIPS 2012: 2834-2842 - [c119]Li Deng:
Being deep and being dynamic - new-generation models and methodology for advancing speech technology. Odyssey 2012 - [c118]Li Deng, Gökhan Tür, Xiaodong He, Dilek Hakkani-Tür:
Use of kernel deep convex networks and end-to-end learning for spoken language understanding. SLT 2012: 210-215 - [c117]Kaisheng Yao, Dong Yu, Frank Seide, Hang Su, Li Deng, Yifan Gong:
Adaptation of context-dependent deep neural networks for automatic speech recognition. SLT 2012: 366-369 - 2011
- [j76]Dong Yu, Li Deng:
Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP]. IEEE Signal Process. Mag. 28(1): 145-154 (2011) - [j75]Dan Schonfeld, Li Deng:
Signal Processing Trends in Media, Mobility, and Search [From the Editors]. IEEE Signal Process. Mag. 28(4): 2-6 (2011) - [j74]Li Deng:
New Honor, New Initiatives, and New Impact to Come [From the Editor]. IEEE Signal Process. Mag. 28(5): 2-4 (2011) - [j73]Xiaodong He, Li Deng:
Speech Recognition, Machine Translation, and Speech Translation - A Unified Discriminative Learning Paradigm [Lecture Notes]. IEEE Signal Process. Mag. 28(5): 126-133 (2011) - [j72]Li Deng:
Shining Bright: The Golden Era of Signal Processing [From the Editor]. IEEE Signal Process. Mag. 28(6): 2-6 (2011) - [j71]Dong Yu, Jinyu Li, Li Deng:
Calibration of Confidence Measures in Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 19(8): 2461-2473 (2011) - [c116]George E. Dahl, Dong Yu, Li Deng, Alex Acero:
Large vocabulary continuous speech recognition with context-dependent DBN-HMMS. ICASSP 2011: 4688-4691 - [c115]Yaodong Zhang, Li Deng, Xiaodong He, Alex Acero:
A novel decision function and the associated decision-feedback learning for speech translation. ICASSP 2011: 5608-5611 - [c114]Xiaodong He, Li Deng, Alex Acero:
Why word error rate is not a good metric for speech recognizer training for the speech translation task? ICASSP 2011: 5632-5635 - [c113]Xiaodong He, Li Deng:
Robust Speech Translation by Domain Adaptation. INTERSPEECH 2011: 2105-2108 - [c112]Dong Yu, Li Deng:
Accelerated Parallelizable Neural Network Learning Algorithm for Speech Recognition. INTERSPEECH 2011: 2281-2284 - [c111]Dong Yu, Li Deng:
Deep Convex Net: A Scalable Architecture for Speech Pattern Classification. INTERSPEECH 2011: 2285-2288 - [c110]Xiaodong He, Amittai Axelrod, Li Deng, Alex Acero, Mei-Yuh Hwang, Alisa Nguyen, Andrew Wang, Xiahui Huang:
The MSR SYSTEM for IWSLT 2011 evaluation. IWSLT 2011: 57-61 - [p1]Li Deng:
Front-End, Back-End, and Hybrid Techniques for Noise-Robust Speech Recognition. Robust Speech Recognition of Uncertain or Missing Data 2011: 67-99 - 2010
- [j70]Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex Acero:
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maximization criterion. Comput. Speech Lang. 24(3): 433-444 (2010) - [j69]Xiaodong He, Li Deng, Roland Kuhn, Helen M. Meng, Samy Bengio:
Introduction to the Issue on Statistical Learning Methods for Speech and Language Processing. IEEE J. Sel. Top. Signal Process. 4(6): 913-916 (2010) - [j68]Dong Yu, Shizhen Wang, Li Deng:
Sequential Labeling Using Deep-Structured Conditional Random Fields. IEEE J. Sel. Top. Signal Process. 4(6): 965-973 (2010) - [j67]Lin Xiao, Li Deng:
A Geometric Perspective of Large-Margin Training of Gaussian Models [Lecture Notes]. IEEE Signal Process. Mag. 27(6): 118-123 (2010) - [c109]Dong Yu, Shizhen Wang, Jinyu Li, Li Deng:
Word confidence calibration using a maximum entropy model with constraints on confidence and word distributions. ICASSP 2010: 4446-4449 - [c108]Dong Yu, Li Deng:
Semantic confidence calibration for spoken dialog applications. ICASSP 2010: 4450-4453 - [c107]Dong Yu, Shizhen Wang, Zahi N. Karam, Li Deng:
Language recognition using deep-structured conditional random fields. ICASSP 2010: 5030-5033 - [c106]Jinyu Li, Dong Yu, Yifan Gong, Li Deng:
Unscented transform with online distortion estimation for HMM adaptation. INTERSPEECH 2010: 1660-1663 - [c105]Li Deng, Michael L. Seltzer, Dong Yu, Alex Acero, Abdel-rahman Mohamed, Geoffrey E. Hinton:
Binary coding of speech spectrograms using a deep auto-encoder. INTERSPEECH 2010: 1692-1695 - [c104]Abdel-rahman Mohamed, Dong Yu, Li Deng:
Investigation of full-sequence training of deep belief networks for speech recognition. INTERSPEECH 2010: 2846-2849 - [c103]Dong Yu, Li Deng:
Deep-structured hidden conditional random fields for phonetic recognition. INTERSPEECH 2010: 2986-2989 - [c102]Chi-Ho Li, Nan Duan, Yinggong Zhao, Shujie Liu, Lei Cui, Mei-Yuh Hwang, Amittai Axelrod, Jianfeng Gao, Yaodong Zhang, Li Deng:
The MSRA machine translation system for IWSLT 2010. IWSLT 2010: 135-138 - [r1]Xuedong Huang, Li Deng:
An Overview of Modern Speech Recognition. Handbook of Natural Language Processing 2010: 339-366
2000 – 2009
- 2009
- [j66]Jinyu Li, Li Deng, Dong Yu, Yifan Gong, Alex Acero:
A unified framework of HMM adaptation with joint compensation of additive and convolutive distortions. Comput. Speech Lang. 23(3): 389-405 (2009) - [j65]Dong Yu, Li Deng, Alex Acero:
Using continuous features in the maximum entropy model. Pattern Recognit. Lett. 30(14): 1295-1300 (2009) - [j64]Janet M. Baker, Li Deng, James R. Glass, Sanjeev Khudanpur, Chin-Hui Lee, Nelson Morgan, Douglas D. O'Shaughnessy:
Developments and directions in speech recognition and understanding, Part 1 [DSP Education]. IEEE Signal Process. Mag. 26(3): 75-80 (2009) - [j63]Janet M. Baker, Li Deng, Sanjeev Khudanpur, Chin-Hui Lee, James R. Glass, Nelson Morgan, Douglas D. O'Shaughnessy:
Updated MINDS report on speech recognition and understanding, Part 2 [DSP Education]. IEEE Signal Process. Mag. 26(4): 78-85 (2009) - [j62]Dong Yu, Li Deng:
Solving nonlinear estimation problems using splines [Lecture Notes]. IEEE Signal Process. Mag. 26(4): 86-90 (2009) - [j61]Dong Yu, Li Deng, Yifan Gong, Alex Acero:
A Novel Framework and Training Algorithm for Variable-Parameter Hidden Markov Models. IEEE Trans. Speech Audio Process. 17(7): 1348-1360 (2009) - [c101]Dong Yu, Li Deng, Peng Liu, Jian Wu, Yifan Gong, Alex Acero:
Cross-lingual speech recognition under runtime resource constraints. ICASSP 2009: 4193-4196 - [c100]Hui Lin, Li Deng, Dong Yu, Yifan Gong, Alex Acero, Chin-Hui Lee:
A study on multilingual acoustic modeling for large vocabulary ASR. ICASSP 2009: 4333-4336 - [c99]Oriol Vinyals, Li Deng, Dong Yu, Alex Acero:
Discriminative pronounciation learning using phonetic decoder and minimum-classification-error criterion. ICASSP 2009: 4445-4448 - [c98]Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex Acero:
Using collective information in semi-supervised learning for speech recognition. ICASSP 2009: 4633-4636 - [c97]Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex Acero:
Maximizing global entropy reduction for active learning in speech recognition. ICASSP 2009: 4721-4724 - [c96]Li Deng:
Rethinking of computation for future-generation, knowledge-rich speech recognition and understanding. ICME 2009: 1801-1804 - [c95]Dong Yu, Li Deng, Alex Acero:
Hidden conditional random field with distribution constraints for phone classification. INTERSPEECH 2009: 676-679 - 2008
- [b2]Xiaodong He, Li Deng:
Discriminative Learning for Speech Recognition: Theory and Practice. Synthesis Lectures on Speech and Audio Processing, Morgan & Claypool Publishers 2008, ISBN 978-3-031-01429-1 - [j60]Dong Yu, Li Deng, Xiaodong He, Alex Acero:
Large-margin minimum classification error training: A theoretical risk minimization perspective. Comput. Speech Lang. 22(4): 415-429 (2008) - [j59]Xiaodong He, Li Deng, Wu Chou:
Discriminative learning in sequential pattern recognition. IEEE Signal Process. Mag. 25(5): 14-36 (2008) - [j58]Dong Yu, Li Deng, Jasha Droppo, Jian Wu, Yifan Gong, Alex Acero:
Robust Speech Recognition Using a Cepstral Minimum-Mean-Square-Error-Motivated Noise Suppressor. IEEE Trans. Speech Audio Process. 16(5): 1061-1070 (2008) - [j57]Sibel Yaman, Li Deng, Dong Yu, Ye-Yi Wang, Alex Acero:
An Integrative and Discriminative Technique for Spoken Utterance Classification. IEEE Trans. Speech Audio Process. 16(6): 1207-1214 (2008) - [c94]Dong Yu, Li Deng, Jasha Droppo, Jian Wu, Yifan Gong, Alex Acero:
A minimum-mean-square-error noise reduction algorithm on Mel-frequency cepstra for robust speech recognition. ICASSP 2008: 4041-4044 - [c93]Jinyu Li, Li Deng, Dong Yu, Yifan Gong, Alex Acero:
HMM adaptation using a phase-sensitive acoustic distortion model for environment-robust speech recognition. ICASSP 2008: 4069-4072 - [c92]Jinyu Li, Li Deng, Dong Yu, Jian Wu, Yifan Gong, Alex Acero:
Adaptation of compressed HMM parameters for resource-constrained speech recognition. ICASSP 2008: 4333-4336 - [c91]Dong Yu, Li Deng, Yifan Gong, Alex Acero:
Discriminative training of variable-parameter HMMs for noise robust speech recognition. INTERSPEECH 2008: 285-288 - [c90]Dong Yu, Li Deng, Yifan Gong, Alex Acero:
Parameter clustering and sharing in variable-parameter HMMs for noise robust speech recognition. INTERSPEECH 2008: 1253-1256 - [c89]Xiaolong Li, Li Deng, Yun-Cheng Ju, Alex Acero:
Automatic children's reading tutor on hand-held devices. INTERSPEECH 2008: 1733-1736 - [c88]Dong Yu, Li Deng, Jian Wu, Yifan Gong, Alex Acero:
Improvements on Mel-Frequency Cepstrum Minimum-Mean-Square-Error Noise Suppressor for Robust Speech Recognition. ISCSLP 2008: 69-72 - 2007
- [j56]Dong Yu, Li Deng, Alex Acero:
Speaker-adaptive learning of resonance targets in a hidden trajectory model of speech coarticulation. Comput. Speech Lang. 21(1): 72-87 (2007) - [j55]Xiaodong He, Li Deng:
A new look at discriminative training for hidden Markov models. Pattern Recognit. Lett. 28(11): 1285-1294 (2007) - [j54]Li Deng, Leo J. Lee, Hagai Attias, Alex Acero:
Adaptive Kalman Filtering and Smoothing for Tracking Vocal Tract Resonances Using a Continuous-Valued Hidden Dynamic Model. IEEE Trans. Speech Audio Process. 15(1): 13-23 (2007) - [j53]Rodrigo Capobianco Guido, Li Deng, Shoji Makino:
Guest Editors' Introduction: Special Section on Emergent Systems, Algorithms and Architectures for Speech-Based Human-Machine Interaction. IEEE Trans. Computers 56(9): 1153-1155 (2007) - [c87]Li Deng:
Roles of high-fidelity acoustic modeling in robust speech recognition. ASRU 2007: 1-13 - [c86]Jinyu Li, Li Deng, Dong Yu, Yifan Gong, Alex Acero:
High-performance hmm adaptation with joint compensation of additive and convolutive distortions via Vector Taylor Series. ASRU 2007: 65-70 - [c85]Sibel Yaman, Li Deng, Dong Yu, Ye-Yi Wang, Alex Acero:
A Discriminative Training Framework using N-Best Speech Recognition Transcriptions and Scores for Spoken Utterance Classification. ICASSP (4) 2007: 5-8 - [c84]Xiaolong Li, Yun-Cheng Ju, Li Deng, Alex Acero:
Efficient and Robust Language Modeling in an Automatic Children's Reading Tutor System. ICASSP (4) 2007: 193-196 - [c83]Li Deng, Dong Yu:
Use of Differential Cepstra as Acoustic Features in Hidden Trajectory Modeling for Phonetic Recognition. ICASSP (4) 2007: 445-448 - [c82]Dong Yu, Li Deng, Xiaodong He, Alex Acero:
Large-Margin Minimum Classification Error Training for Large-Scale Speech Recognition Tasks. ICASSP (4) 2007: 1137-1140 - [c81]Roberto Togneri, Li Deng:
A structured speech model parameterized by recursive dynamics and neural networks. INTERSPEECH 2007: 894-897 - [c80]Li Deng, Helmer Strik:
Structure-based and template-based automatic speech recognition - comparing parametric and non-parametric approaches. INTERSPEECH 2007: 898-901 - [c79]Dong Yu, Li Deng, Alex Acero:
Handling phonetic context and speaker variation in a structure-based speech recognizer. INTERSPEECH 2007: 906-909 - [c78]Qian Qian, Xiaodong He, Li Deng:
Phone-discriminating minimum classification error (p-MCE) training for phonetic recognition. INTERSPEECH 2007: 2073-2076 - [c77]Dong Yu, Li Deng:
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition. ICSC 2007: 429-438 - 2006
- [b1]Li Deng:
Dynamic Speech Models: Theory, Algorithms, and Applications. Synthesis Lectures on Speech and Audio Processing, Morgan & Claypool Publishers 2006, ISBN 978-3-031-01427-7 - [j52]Roberto Togneri, Li Deng:
A state-space model with neural-network prediction for recovering vocal tract resonances in fluent speech from Mel-cepstral coefficients. Speech Commun. 48(8): 971-988 (2006) - [j51]Dong Yu, Li Deng, Alex Acero:
A lattice search technique for a long-contextual-span hidden trajectory model of speech. Speech Commun. 48(9): 1214-1226 (2006) - [j50]Li Deng, Dong Yu, Alex Acero:
A bidirectional target-filtering model of speech coarticulation and reduction: two-stage implementation for phonetic recognition. IEEE Trans. Speech Audio Process. 14(1): 256-265 (2006) - [j49]Li Deng, Alex Acero, Issam Bazzi:
Tracking vocal tract resonances using a quantized nonlinear function embeddedin a temporal constraint. IEEE Trans. Speech Audio Process. 14(2): 425-434 (2006) - [j48]Li Deng, Dong Yu, Alex Acero:
Structured speech modeling. IEEE Trans. Speech Audio Process. 14(5): 1492-1504 (2006) - [c76]Xiaolong Li, Li Deng, Dong Yu, Alex Acero:
A time-synchronous phonetic decoder for a long-contextual-Span hidden trajectory model. INTERSPEECH 2006 - [c75]Dong Yu, Li Deng, Xiaodong He, Alex Acero:
Use of incrementally regulated discriminative margins in MCE training for speech recognition. INTERSPEECH 2006 - [c74]Xiaodong He, Li Deng, Wu Chou:
A Novel Learning Method for Hidden Markov Models in Speech and Audio Processing. MMSP 2006: 80-85 - 2005
- [j47]Li Deng, Jian Wu, Jasha Droppo, Alex Acero:
Analysis and comparison of two speech feature extraction/compensation algorithms. IEEE Signal Process. Lett. 12(6): 477-480 (2005) - [j46]Li Deng, Kuansan Wang, Wu Chou:
Speech technology and systems in human-machine communication [from the Guest Editors]. IEEE Signal Process. Mag. 22(5): 12-14 (2005) - [j45]Ye-Yi Wang, Li Deng, Alex Acero:
Spoken language understanding. IEEE Signal Process. Mag. 22(5): 16-31 (2005) - [j44]Li Deng, Jasha Droppo, Alex Acero:
Dynamic compensation of HMM variances using the feature enhancement uncertainty computed from a parametric model of speech distortion. IEEE Trans. Speech Audio Process. 13(3): 412-421 (2005) - [j43]Li Deng, Dong Yu:
A Speech-Centric Perspective for Human-Computer Interface: A Case Study. J. VLSI Signal Process. 41(3): 255-269 (2005) - [c73]Li Deng, Xiang Li, Dong Yu, Alex Acero:
A Hidden Trajectory Model with Bi-directional Target-Filtering: Cascaded vs. Integrated Implementation for Phonetic Recognition. ICASSP (1) 2005: 337-340 - [c72]Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou Zhang:
Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information. ICME 2005: 1074-1077 - [c71]Dong Yu, Li Deng, Alex Acero:
Evaluation of a long-contextual-Span hidden trajectory model and phonetic recognizer using a* lattice search. INTERSPEECH 2005: 553-556 - [c70]Li Deng, Dong Yu, Alex Acero:
Learning statistically characterized resonance targets in a hidden trajectory model of speech coarticulation and reduction. INTERSPEECH 2005: 1097-1100 - 2004
- [j42]Li Deng, Xuedong Huang:
Challenges in adopting speech recognition. Commun. ACM 47(1): 69-75 (2004) - [j41]Jeff Z. Ma, Li Deng:
A mixed-level switching dynamic system for continuous speech recognition. Comput. Speech Lang. 18(1): 49-65 (2004) - [j40]Jeff Z. Ma, Li Deng:
Target-directed mixture dynamic models for spontaneous speech recognition. IEEE Trans. Speech Audio Process. 12(1): 47-58 (2004) - [j39]Li Deng, Jasha Droppo, Alex Acero:
Enhancement of log Mel power spectra of speech using a phase-sensitive model of the acoustic environment and sequential estimation of the corrupting noise. IEEE Trans. Speech Audio Process. 12(2): 133-143 (2004) - [j38]Li Deng, Jasha Droppo, Alex Acero:
Estimating cepstrum of speech under the presence of noise using a joint prior of static and dynamic features. IEEE Trans. Speech Audio Process. 12(3): 218-233 (2004) - [j37]Li Deng, Ye-Yi Wang, Kuansan Wang, Alex Acero, Hsiao-Wuen Hon, Jasha Droppo, Constantinos Boulis, Milind Mahajan, Xuedong Huang:
Speech and Language Processing for Multimodal Human-Computer Interaction. J. VLSI Signal Process. 36(2-3): 161-187 (2004) - [c69]Leo J. Lee, Hagai Attias, Li Deng, Paul W. Fieguth:
A multimodal variational approach to learning and inference in switching state space models [speech processing application]. ICASSP (5) 2004: 505-508 - [c68]Li Deng, Leo J. Lee, Hagai Attias, Alex Acero:
A structured speech model with continuous hidden dynamics and prediction-residual training for tracking vocal tract resonances. ICASSP (1) 2004: 557-560 - [c67]Zhengyou Zhang, Zicheng Liu, Mike Sinclair, Alex Acero, Li Deng, Jasha Droppo, Xuedong Huang, Yanli Zheng:
Multi-sensory microphones for robust speech detection, enhancement and recognition. ICASSP (3) 2004: 781-784 - [c66]Li Deng, Yu Dong, Alex Acero:
A quantitative model for formant dynamics and contextually assimilated reduction in fluent speech. INTERSPEECH 2004: 981-984 - [c65]Li Deng, Roberto Togneri:
Use of neural network mapping and extended kalman filter to recover vocal tract resonances from the MFCC parameters of speech. INTERSPEECH 2004: 1097-1100 - [c64]Dong Yu, Mei-Yuh Hwang, Peter Mau, Alex Acero, Li Deng:
Unsupervised learning from users' error correction in speech dictation. INTERSPEECH 2004: 1969-1972 - [c63]Li Deng, Zicheng Liu, Zhengyou Zhang, Alejandro Acero:
Nonlinear information fusion in multi-sensor processing - extracting and exploiting hidden dynamics of speech captured by a bone-conductive microphone. MMSP 2004: 19-22 - 2003
- [j36]Li Deng, Jasha Droppo, Alex Acero:
Recursive estimation of nonstationary noise using iterative stochastic approximation for robust speech recognition. IEEE Trans. Speech Audio Process. 11(6): 568-580 (2003) - [j35]Jeff Z. Ma, Li Deng:
Efficient decoding strategies for conversational speech recognition using a constrained nonlinear state-space model. IEEE Trans. Speech Audio Process. 11(6): 590-602 (2003) - [j34]Roberto Togneri, Li Deng:
Joint state and parameter estimation for a target-directed nonlinear dynamic system model. IEEE Trans. Signal Process. 51(12): 3061-3070 (2003) - [c62]Issam Bazzi, Alex Acero, Li Deng:
An expectation maximization approach for formant tracking using a parameter-free non-linear predictor. ICASSP (1) 2003: 464-467 - [c61]Li Deng, Jasha Droppo, Alex Acero:
Incremental Bayes learning with prior evolution for tracking nonstationary noise statistics from noisy speech data. ICASSP (1) 2003: 672-675 - [c60]Jian-Lai Zhou, Frank Seide, Li Deng:
Coarticulation modeling by embedding a target-directed hidden trajectory model into HMM - model and training. ICASSP (1) 2003: 744-747 - [c59]Frank Seide, Jian-Lai Zhou, Li Deng:
Coarticulation modeling by embedding a target-directed hidden trajectory model into HMM - MAP decoding and evaluation. ICASSP (1) 2003: 748-751 - [c58]Leo J. Lee, Hagai Attias, Li Deng:
Variational inference and learning for segmental switching state space models of hidden speech dynamics. ICASSP (1) 2003: 872-875 - [c57]Li Deng, Issam Bazzi, Alex Acero:
Tracking vocal tract resonances using an analytical nonlinear predictor and a target-guided temporal constraint. INTERSPEECH 2003: 73-76 - [c56]Jasha Droppo, Li Deng, Alex Acero:
A comparison of three non-linear observation models for noisy speech features. INTERSPEECH 2003: 681-684 - 2002
- [j33]Hossein Sameti, Li Deng:
Nonstationary-state hidden Markov model representation of speech signals for speech enhancement. Signal Process. 82(2): 205-227 (2002) - [j32]Hui Jiang, Li Deng:
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition. IEEE Trans. Speech Audio Process. 10(1): 9-17 (2002) - [j31]Li Deng, Kuansan Wang, Alex Acero, Hsiao-Wuen Hon, Jasha Droppo, Constantinos Boulis, Ye-Yi Wang, Derek Jacoby, Milind Mahajan, Ciprian Chelba, Xuedong Huang:
Distributed speech processing in miPad's multimodal user interface. IEEE Trans. Speech Audio Process. 10(8): 605-619 (2002) - [c55]Li Deng, Alex Acero, Ye-Yi Wang, Kuansan Wang, Hsiao-Wuen Hon, Jasha Droppo, Milind Mahajan, Xuedong Huang:
A speech-centric perspective for human-computer interface. IEEE Workshop on Multimedia Signal Processing 2002: 263-267 - [c54]Jasha Droppo, Alex Acero, Li Deng:
Uncertainty decoding with SPLICE for noise robust speech recognition. ICASSP 2002: 57-60 - [c53]Li Deng, Jasha Droppo, Alex Acero:
A Bayesian approach to speech feature enhancement using the dynamic cepstral prior. ICASSP 2002: 829-832 - [c52]Jeff Z. Ma, Li Deng:
A mixture linear model with target-directed dynamics for spontaneous speech recognition. ICASSP 2002: 961-964 - [c51]Jasha Droppo, Li Deng, Alex Acero:
Evaluation of SPLICE on the Aurora 2 and 3 tasks. INTERSPEECH 2002: 29-32 - [c50]Hagai Attias, Li Deng:
A new approach to speech enhancement by a microphone array using EM and mixture models. INTERSPEECH 2002: 785-788 - [c49]Jasha Droppo, Alex Acero, Li Deng:
Noise from corrupted speech log mel-spectral energies. INTERSPEECH 2002: 1569-1572 - [c48]Li Deng, Jasha Droppo, Alex Acero:
Sequential MAP noise estimation and a phase-sensitive model of the acoustic environment. INTERSPEECH 2002: 1813-1816 - [c47]Li Deng, Jasha Droppo, Alex Acero:
Exploiting variances in robust feature extraction based on a parametric model of speech distortion. INTERSPEECH 2002: 2449-2452 - 2001
- [j30]Roberto Togneri, Jeff Z. Ma, Li Deng:
Parameter estimation of a target-directed dynamic system model with switching states. Signal Process. 81(5): 975-987 (2001) - [j29]Rathinavelu Chengalvarayan, Li Deng:
A maximum a posteriori approach to speaker adaptation using the trended hidden Markov model. IEEE Trans. Speech Audio Process. 9(5): 549-557 (2001) - [j28]Hui Jiang, Li Deng:
A Bayesian approach to the verification problem: applications to speaker verification. IEEE Trans. Speech Audio Process. 9(8): 874-884 (2001) - [c46]Xuedong Huang, Alex Acero, Ciprian Chelba, Li Deng, Jasha Droppo, Doug Duchene, Joshua Goodman, Hsiao-Wuen Hon, Derek Jacoby, Li Jiang, Ricky Loynd, Milind Mahajan, Peter Mau, Scott Meredith, Salman Mughal, Salvado Neto, Mike Plumpe, Kuansan Steury, Gina Venolia, Kuansan Wang, Ye-Yi Wang:
MiPad: a multimodal interaction prototype. ICASSP 2001: 9-12 - [c45]Jasha Droppo, Alex Acero, Li Deng:
Efficient on-line acoustic environment estimation for FCDCN in a continuous speech recognition system. ICASSP 2001: 209-212 - [c44]Li Deng, Alex Acero, Li Jiang, Jasha Droppo, Xuedong Huang:
High-performance robust speech recognition using stereo training data. ICASSP 2001: 301-304 - [c43]Trausti T. Kristjansson, Brendan J. Frey, Li Deng, Alex Acero:
Towards non-stationary model-based noise adaptation for large vocabulary speech recognition. ICASSP 2001: 337-340 - [c42]Roberto Togneri, Li Deng:
An EKF-based algorithm for learning statistical hidden dynamic model parameters for phonetic recognition. ICASSP 2001: 465-468 - [c41]Leo J. Lee, Paul W. Fieguth, Li Deng:
A functional articulatory dynamic model for speech production. ICASSP 2001: 797-800 - [c40]Jasha Droppo, Li Deng, Alex Acero:
Evaluation of the SPLICE algorithm on the Aurora2 database. INTERSPEECH 2001: 217-220 - [c39]Jeff Z. Ma, Li Deng:
Efficient decoding strategy for conversational speech recognition using state-space models for vocal-tract-resonance dynamics. INTERSPEECH 2001: 603-606 - [c38]Brendan J. Frey, Li Deng, Alex Acero, Trausti T. Kristjansson:
ALGONQUIN: iterating laplace's method to remove multiple types of acoustic distortion for robust speech recognition. INTERSPEECH 2001: 901-904 - [c37]Hagai Attias, Li Deng, Alex Acero, John C. Platt:
A new method for speech denoising and robust speech recognition using probabilistic models for clean speech and for noise. INTERSPEECH 2001: 1903-1906 - [c36]Brendan J. Frey, Trausti T. Kristjansson, Li Deng, Alex Acero:
ALGONQUIN - Learning Dynamic Noise Models From Noisy Speech for Robust Speech Recognition. NIPS 2001: 1165-1171 - 2000
- [j27]Jeff Z. Ma, Li Deng:
A path-stack algorithm for optimizing dynamic regimes in a statistical hidden dynamic model of speech. Comput. Speech Lang. 14(2): 101-114 (2000) - [c35]Xuedong Huang, Alex Acero, Ciprian Chelba, Li Deng, Doug Duchene, Joshua Goodman, Hsiao-Wuen Hon, Derek Jacoby, Li Jiang, Ricky Loynd, Milind Mahajan, Peter Mau, Scott Meredith, Salman Mughal, Salvado Neto, Mike Plumpe, Kuansan Wang, Ye-Yi Wang:
Mipad: a next generation PDA prototype. INTERSPEECH 2000: 33-36 - [c34]Hui Jiang, Li Deng:
A robust training strategy against extraneous acoustic variations for spontaneous speech recognition. INTERSPEECH 2000: 161-164 - [c33]Jiping Sun, Xing Jing, Li Deng:
Data-driven model construction for continuous speech recognition using overlapping articulatory features. INTERSPEECH 2000: 437-440 - [c32]Li Deng, Alex Acero, Mike Plumpe, Xuedong Huang:
Large-vocabulary speech recognition under adverse acoustic environments. INTERSPEECH 2000: 806-809 - [c31]Alex Acero, Li Deng, Trausti T. Kristjansson, Jerry Zhang:
HMM adaptation using vector taylor series for noisy speech recognition. INTERSPEECH 2000: 869-872 - [c30]Jiping Sun, Roberto Togneri, Li Deng:
A robust speech understanding system using conceptual relational grammar. INTERSPEECH 2000: 879-882 - [c29]Jiping Sun, Xing Jing, Li Deng:
Annotation and Use of Speech Production Corpus for Building Language-Universal Speech Recognizers. ISCSLP 2000 - [c28]Hagai Attias, John C. Platt, Alex Acero, Li Deng:
Speech Denoising and Dereverberation Using Probabilistic Models. NIPS 2000: 758-764
1990 – 1999
- 1999
- [j26]Hamid Sheikhzadeh, Li Deng:
A layered neural network interfaced with a cochlear model for the study of speech encoding in the auditory system. Comput. Speech Lang. 13(1): 39-64 (1999) - [j25]Xuemin Shen, Li Deng:
A dynamic system approach to speech enhancement using the H∞ filtering algorithm. IEEE Trans. Speech Audio Process. 7(4): 391-399 (1999) - [c27]Anisa Yasmin, Paul W. Fieguth, Li Deng:
Speech enhancement using voice source models. ICASSP 1999: 797-800 - [c26]Li Deng, Jeff Z. Ma:
A statistical coarticulatory model for the hidden vocal-tract-resonance dynamics. EUROSPEECH 1999: 1499-1502 - [c25]Jeff Z. Ma, Li Deng:
Optimization of dynamic regimes in a statistical hidden dynamic model for conversational speech recognition. EUROSPEECH 1999 - 1998
- [j24]Li Deng:
A dynamic, feature-based approach to the interface between phonology and phonetics for speech modeling and recognition. Speech Commun. 24(4): 299-323 (1998) - [j23]Hamid Sheikhzadeh, Li Deng:
Speech analysis and recognition using interval statistics generated from a composite auditory model. IEEE Trans. Speech Audio Process. 6(1): 90-94 (1998) - [j22]Hossein Sameti, Hamid Sheikhzadeh, Li Deng, Robert L. Brennan:
HMM-based strategies for enhancement of speech signals embedded in nonstationary noise. IEEE Trans. Speech Audio Process. 6(5): 445-455 (1998) - [j21]Rathinavelu Chengalvarayan, Li Deng:
Speech trajectory discrimination using the minimum classification error learning. IEEE Trans. Speech Audio Process. 6(6): 505-515 (1998) - [c24]Jiping Sun, Li Deng:
Use of high-level linguistic constraints for constructing feature-based phonological model in speech recognition. ICSLP 1998 - [c23]Li Deng:
Integrated-multilingual Speech Recognition and Its Impact on Chinese Spoken Language Processing. ISCSLP 1998 - 1997
- [j20]Li Deng, Xuemin Shen:
Maximum likelihood in statistical estimation of dynamic systems: Decomposition algorithm and simulation results. Signal Process. 57(1): 65-79 (1997) - [j19]Li Deng, Gordon Ramsay, Don X. Sun:
Production models as a structural basis for automatic speech recognition. Speech Commun. 22(2-3): 93-111 (1997) - [j18]Li Deng:
Speech recognition using autosegmental representation of phonological units with interface to the trended HMM. Speech Commun. 23(3): 211-222 (1997) - [j17]Rathinavelu Chengalvarayan, Li Deng:
Use of generalized dynamic feature parameters for speech recognition. IEEE Trans. Speech Audio Process. 5(3): 232-242 (1997) - [j16]Rathinavelu Chengalvarayan, Li Deng:
HMM-based speech recognition using state-dependent, discriminatively derived transforms on mel-warped DFT features. IEEE Trans. Speech Audio Process. 5(3): 243-256 (1997) - [j15]Xuemin Shen, Li Deng:
Game theory approach to discrete H∞ filter design. IEEE Trans. Signal Process. 45(4): 1092-1095 (1997) - [c22]Li Deng:
Integrated-multilingual speech recognition using universal phonological features in a functional speech production model. ICASSP 1997: 1007-1010 - [c21]Chengalv Rathinavelu, Li Deng:
Speaker adaptation experiments using nonstationary-state hidden Markov models: a MAP approach. ICASSP 1997: 1415-1418 - 1996
- [j14]Li Deng:
Transiems as dynamically defined, sub-phonemic units of speech: A computational model. Signal Process. 49(1): 25-35 (1996) - [j13]Li Deng, Chengalv Rathinavelu:
Construction of state-dependent dynamic parameters using the maximum likelihood approach: Applications to speech recognition. Signal Process. 55(2): 149-165 (1996) - [j12]Xuemin Shen, Li Deng:
Decomposition solution of H∞ filter gain in singularly perturbed systems. Signal Process. 55(3): 313-320 (1996) - [j11]Li Deng, Hossein Sameti:
Transitional speech units and their representation by regressive Markov states: applications to speech recognition. IEEE Trans. Speech Audio Process. 4(4): 301-306 (1996) - [c20]Chengalv Rathinavelu, Li Deng:
HMM-based speech recognition using state-dependent, linear transforms on Mel-warped DFT features. ICASSP 1996: 9-12 - [c19]Donald G. Jamieson, Li Deng, M. Price, Vijay Parsa, J. Till:
Interaction of speech disorders with speech coders: effects on speech intelligibility. ICSLP 1996: 737-740 - [c18]Li Deng, Xuemin Shen, Donald G. Jamieson, J. Till:
Simulation of disordered speech using a frequency-domain vocal tract model. ICSLP 1996: 768-771 - [c17]Xuemin Shen, Li Deng, Anisa Yasmin:
H-infinity filtering for speech enhancement. ICSLP 1996: 873-876 - [c16]Rathinavelu Chengalvarayan, Li Deng:
The trended HMM with discriminative training for phonetic classification. ICSLP 1996: 1049-1052 - [c15]Gordon Ramsay, Li Deng:
Optimal filtering and smoothing for speech recognition using a stochastic target model. ICSLP 1996: 1113-1116 - [c14]Li Deng, Jim Jian-Xiong Wu:
Hierarchical partition of the articulatory state space for overlapping-feature based speech recognition. ICSLP 1996: 2266-2269 - [c13]Jim Jian-Xiong Wu, Li Deng, Jacky Chan:
Modeling context-dependent phonetic units in a continuous speech recognition system for Mandarin Chinese. ICSLP 1996: 2281-2284 - 1995
- [j10]Li Deng, Rathinavelu Chengalvarayan:
A Markov model containing state-conditioned second-order non-stationarity: application to speech recognition. Comput. Speech Lang. 9(1): 63-86 (1995) - [j9]Gordon Ramsay, Li Deng:
Tracking nonstationary targets using a dynamical system with Markov-modulated parameters. IEEE Signal Process. Lett. 2(9): 172-175 (1995) - [c12]Don X. Sun, Li Deng:
Analysis of acoustic-phonetic variations in fluent speech using TIMIT. ICASSP 1995: 201-204 - [c11]Rathinavelu Chengalvarayan, Li Deng:
Use of generalized dynamic feature parameters for speech recognition: maximum likelihood and minimum classification error approaches. ICASSP 1995: 373-376 - [c10]Li Deng, J. Nu, Hossein Sameti:
Improved speech modeling and recognition using multi-dimensional articulatory states as primitive speech units. ICASSP 1995: 385-388 - [c9]Gordon Ramsay, Li Deng:
Maximum-likelihood estimation for articulatory speech recognition using a stochastic target model. EUROSPEECH 1995: 1401-1404 - 1994
- [j8]Li Deng, Khaled Hassanein, Mohamed I. Elmasry:
Analysis of the correlation structure for a neural predictive model with application to speech recognition. Neural Networks 7(2): 331-339 (1994) - [j7]David Zhang, Li Deng, Mohamed I. Elmasry:
Pipelined architecture for neural-network-based speech recognition. Neural Parallel Sci. Comput. 2(1): 81-92 (1994) - [j6]Li Deng:
A statistical model for formant-transition microsegments of speech incorporating locus equations. Signal Process. 37(1): 121-128 (1994) - [j5]Hamid Sheikhzadeh, Li Deng:
Waveform-based speech recognition using hidden filter models: parameter selection and sensitivity to power normalization. IEEE Trans. Speech Audio Process. 2(1): 80-89 (1994) - [c8]Hamid Sheikhzadeh, Hossein Sameti, Li Deng, Robert L. Brennan:
Comparative performance of spectral subtraction and HMM-based speech enhancement strategies with application to hearing and design. ICASSP (1) 1994: 13-16 - [c7]Li Deng, Don X. Sun:
Phonetic classification and recognition using HMM representation of overlapping articulatory features for all classes of English sounds. ICASSP (1) 1994: 45-48 - [c6]Khaled Hassanein, Li Deng, Mohamed I. Elmasry:
Vowel classification using a neural predictive HMM: a discriminative training approach. ICASSP (2) 1994: 665-668 - [c5]Don X. Sun, Li Deng:
Nonstationary-state hidden Markov model with state-dependent time warping: application to speech recognition. ICSLP 1994: 243-246 - [c4]Li Deng, Hossein Sameti:
Automatic speech recognition using dynamically defined speech units. ICSLP 1994: 2167-2170 - 1993
- [j4]Kevin Erler, Li Deng:
Hidden Markov model representation of quantized articulatory features for speech recognition. Comput. Speech Lang. 7(3): 265-282 (1993) - [j3]Li Deng:
A stochastic model of speech incorporating hierarchical nonstationarity. IEEE Trans. Speech Audio Process. 1(4): 471-474 (1993) - [c3]Li Deng, Don X. Sun:
Speech recognition using the atomic speech units constructed from overlapping articulatory features. EUROSPEECH 1993: 1635-1638 - 1992
- [j2]Li Deng:
Processing of acoustic signals in a cochlear model incorporating laterally coupled suppressive elements. Neural Networks 5(1): 19-34 (1992) - [j1]Li Deng:
A generalized hidden Markov model with state-conditioned trend functions of time for the speech signal. Signal Process. 27(1): 65-78 (1992) - [c2]Kevin Erler, Li Deng:
HMM representation of quantized articulatory features for recognition of highly confusable words. ICASSP 1992: 545-548 - 1991
- [c1]Li Deng, Kevin Erler:
Microstructural speech units and their HMM representation for discrete utterance speech recognition. ICASSP 1991: 193-196
Coauthor Index
Alex Acero
aka: Alejandro Acero
aka: Alejandro Acero
[c148] [c136] [j77] [c127] [c116] [c115] [c114] [c110] [j70] [c105] [j66] [j65] [j61] [c101] [c100] [c99] [c98] [c97] [c95] [j60] [j58] [j57] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [j56] [j54] [c86] [c85] [c84] [c82] [c79] [j51] [j50] [j49] [j48] [c76] [c75] [j47] [j45] [j44] [c73] [c71] [c70] [j39] [j38] [j37] [c68] [c67] [c66] [c64] [c63] [j36] [c62] [c61] [c57] [c56] [j31] [c55] [c54] [c53] [c51] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c40] [c38] [c37] [c36] [c35] [c32] [c31] [c28]
Rathinavelu Chengalvarayan
aka: Chengalv Rathinavelu
aka: Chengalv Rathinavelu
[c189] [c185] [c184] [c183] [c181] [c180] [i33] [j99] [c176] [c175] [c174] [c173] [c171] [c169] [c167] [c166] [c165] [c164] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [c162] [c161] [c160] [c159] [c158] [i13] [i12] [i10] [i8] [i7] [i6] [c157] [c155] [c154] [c150] [i5] [i4] [i3] [c148] [c146] [c145] [i1] [c102]
[j105] [j104] [c190] [i35] [c188] [c186] [i34] [j100] [c184] [c183] [c182] [c181] [i33] [i29] [i27] [i26] [i25] [j99] [c176] [c175] [c174] [c173] [c171] [c164] [i24] [i23] [i22] [i21] [i16] [j96] [c163] [c162] [c161] [c160] [c159] [c158] [i13] [i12] [i11] [i10] [i8] [i7] [i6] [c157] [c155] [c154] [c150] [i5] [i4] [i3] [j85] [j81] [c148] [c147] [c146] [c145] [c138] [c136] [c133] [i1] [c132] [c127] [c126] [c125] [c118] [j73] [c115] [c114] [c113] [c110] [j69] [b2] [j60] [j59] [j55] [c82] [c78] [c75] [c74]
Rabab K. Ward
aka: Rabab Kreidieh Ward
aka: Rabab Kreidieh Ward
[j96] [j95] [j94] [j91] [j89] [j87] [j84] [j83] [j82] [c143] [c142] [c141] [c139] [c136] [c135] [c134] [j80] [j77] [c131] [c130] [c129] [c128] [c124] [c122] [c117] [j76] [j71] [c116] [c112] [c111] [j70] [j68] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [j66] [j65] [j62] [j61] [c101] [c100] [c99] [c98] [c97] [c95] [j60] [j58] [j57] [c94] [c93] [c92] [c91] [c90] [c88] [j56] [c86] [c85] [c83] [c82] [c79] [c77] [j51] [j50] [j48] [c76] [c75] [j43] [c73] [c71] [c70] [c64]
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