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Kaisheng Yao
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2020 – today
- 2024
- [c56]Jianfeng He, Julian Salazar, Kaisheng Yao, Haoqi Li, Jason Cai:
Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training. EACL (1) 2024: 2239-2256 - [i14]Elliot L. Epstein, Kaisheng Yao, Jing Li, Xinyi Bai, Hamid Palangi:
MMMT-IF: A Challenging Multimodal Multi-Turn Instruction Following Benchmark. CoRR abs/2409.18216 (2024) - 2023
- [c55]Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour:
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. EMNLP (Findings) 2023: 7026-7036 - [i13]Jianfeng He, Julian Salazar, Kaisheng Yao, Haoqi Li, Jinglun Cai:
Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training. CoRR abs/2305.12793 (2023) - [i12]Qingpei Guo, Kaisheng Yao, Wei Chu:
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input. CoRR abs/2306.14182 (2023) - [i11]Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour:
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. CoRR abs/2310.13760 (2023) - 2022
- [c54]Qingpei Guo, Kaisheng Yao, Wei Chu:
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input. ECCV (36) 2022: 330-346 - 2021
- [c53]Yangming Li, Kaisheng Yao:
Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines. AAAI 2021: 13306-13314 - [c52]Yangming Li, Kaisheng Yao:
Rewriter-Evaluator Architecture for Neural Machine Translation. ACL/IJCNLP (1) 2021: 5701-5710 - [c51]Zhiming Wang, Furong Xu, Kaisheng Yao, Yuan Cheng, Tao Xiong, Huijia Zhu:
AntVoice Neural Speaker Embedding System for FFSVC 2020. Interspeech 2021: 1069-1073 - [c50]Yangming Li, Lemao Liu, Kaisheng Yao:
Neural Sequence Segmentation as Determining the Leftmost Segments. NAACL-HLT 2021: 1476-1486 - [i10]Yangming Li, Lemao Liu, Kaisheng Yao:
Neural Sequence Segmentation as Determining the Leftmost Segments. CoRR abs/2104.07217 (2021) - 2020
- [c49]Yangming Li, Kaisheng Yao, Libo Qin, Shuang Peng, Yijia Liu, Xiaolong Li:
Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models. AAAI 2020: 8277-8284 - [c48]Yangming Li, Kaisheng Yao, Libo Qin, Wanxiang Che, Xiaolong Li, Ting Liu:
Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network. ACL 2020: 97-106 - [c47]Yangming Li, Han Li, Kaisheng Yao, Xiaolong Li:
Handling Rare Entities for Neural Sequence Labeling. ACL 2020: 6441-6451 - [c46]Zhiming Wang, Kaisheng Yao, Xiaolong Li
, Shuo Fang:
Multi-Resolution Multi-Head Attention in Deep Speaker Embedding. ICASSP 2020: 6464-6468 - [i9]Yangming Li, Kaisheng Yao:
Rewriter-Evaluator Framework for Neural Machine Translation. CoRR abs/2012.05414 (2020) - [i8]Yangming Li, Kaisheng Yao:
Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines. CoRR abs/2012.14645 (2020)
2010 – 2019
- 2019
- [c45]Zhiming Wang, Kaisheng Yao, Shuo Fang, Xiaolong Li
Joint Optimization of Classification and Clustering for Deep Speaker Embedding. ASRU 2019: 284-290 - [c44]Ming He, Kaisheng Yao, Peng Yang, Yuan Yao:
Tag2Vec: Tag Embedding for Top-N Recommendation. ICNC-FSKD 2019: 168-175 - 2018
- [j9]Ming He, Kaisheng Yao, Peng Yang, Jiuling Zhang:
基于标签信息特征相似性的协同过滤个性化推荐 (Collaborative Filtering Personalized Recommendation Based on Similarity of Tag Information Feature). 计算机科学 45(6A): 415-422 (2018) - [j8]Ming He, Peng Yang, Kaisheng Yao, Jiuling Zhang:
TEFRCF: 标签熵特征表示的协同过滤个性化推荐算法 (TEFRCF: Collaborative Filtering Personalized Recommendation Algorithm Based on TagEntropy Feature Representation). 计算机科学 45(6A): 465-470 (2018) - [c43]Ming He, Jiuling Zhang, Peng Yang, Kaisheng Yao:
Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation. WSDM 2018: 225-233 - 2016
- [c42]Yu Zhang, Guoguo Chen, Dong Yu, Kaisheng Yao, Sanjeev Khudanpur, James R. Glass:
Highway long short-term memory RNNS for distant speech recognition. ICASSP 2016: 5755-5759 - [c41]Changhao Shan, Lei Xie, Kaisheng Yao:
A bi-directional LSTM approach for polyphone disambiguation in Mandarin Chinese. ISCSLP 2016: 1-5 - [c40]Kaituo Xu, Lei Xie, Kaisheng Yao:
Investigating LSTM for punctuation prediction. ISCSLP 2016: 1-5 - [c39]Yangyang Shi, Kaisheng Yao, Hu Chen, Dong Yu, Yi-Cheng Pan, Mei-Yuh Hwang:
Recurrent Support Vector Machines For Slot Tagging In Spoken Language Understanding. HLT-NAACL 2016: 393-399 - [c38]Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari:
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model. HLT-NAACL 2016: 876-885 - [c37]Yangyang Shi, Kaisheng Yao, Le Tian, Daxin Jiang
Deep LSTM based Feature Mapping for Query Classification. HLT-NAACL 2016: 1501-1511 - [i7]Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari:
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model. CoRR abs/1601.01085 (2016) - [i6]Kaisheng Yao, Baolin Peng, Geoffrey Zweig, Kam-Fai Wong:
An Attentional Neural Conversation Model with Improved Specificity. CoRR abs/1606.01292 (2016) - 2015
- [j7]Dong Yu, Kaisheng Yao, Yu Zhang:
The Computational Network Toolkit [Best of the Web]. IEEE Signal Process. Mag. 32(6): 123-126 (2015) - [j6]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) - [c36]Yangyang Shi, Kaisheng Yao, Hu Chen, Yi-Cheng Pan, Mei-Yuh Hwang:
Semi-supervised slot tagging in spoken language understanding using recurrent transductive support vector machines. ASRU 2015: 353-360 - [c35]Yujia Li, Kaisheng Yao, Geoffrey Zweig:
Feedback-based handwriting recognition from inertial sensor data for wearable devices. ICASSP 2015: 2269-2273 - [c34]Shi-Xiong Zhang, Chaojun Liu, Kaisheng Yao, Yifan Gong:
Deep neural support vector machines for speech recognition. ICASSP 2015: 4275-4279 - [c33]Kaustubh Kalgaonkar, Chaojun Liu, Yifan Gong, Kaisheng Yao:
Estimating confidence scores on ASR results using recurrent neural networks. ICASSP 2015: 4999-5003 - [c32]Yangyang Shi, Kaisheng Yao, Hu Chen, Yi-Cheng Pan, Mei-Yuh Hwang, Baolin Peng:
Contextual spoken language understanding using recurrent neural networks. ICASSP 2015: 5271-5275 - [c31]Yangyang Shi, Yi-Cheng Pan, Mei-Yuh Hwang, Kaisheng Yao, Hu Chen, Yuanhang Zou, Baolin Peng:
A factorization network based method for multi-lingual domain classification. ICASSP 2015: 5276-5280 - [c30]Kshitiz Kumar, Chaojun Liu, Kaisheng Yao, Yifan Gong:
Intermediate-layer DNN adaptation for offline and session-based iterative speaker adaptation. INTERSPEECH 2015: 1091-1095 - [c29]Kaisheng Yao, Geoffrey Zweig:
Sequence-to-sequence neural net models for grapheme-to-phoneme conversion. INTERSPEECH 2015: 3330-3334 - [c28]Baolin Peng, Kaisheng Yao, Jing Li
Recurrent Neural Networks with External Memory for Spoken Language Understanding. NLPCC 2015: 25-35 - [i5]Baolin Peng, Kaisheng Yao:
Recurrent Neural Networks with External Memory for Language Understanding. CoRR abs/1506.00195 (2015) - [i4]Kaisheng Yao, Geoffrey Zweig:
Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion. CoRR abs/1506.00196 (2015) - [i3]Kaisheng Yao, Trevor Cohn, Katerina Vylomova, Kevin Duh, Chris Dyer:
Depth-Gated LSTM. CoRR abs/1508.03790 (2015) - [i2]Kaisheng Yao, Geoffrey Zweig, Baolin Peng:
Attention with Intention for a Neural Network Conversation Model. CoRR abs/1510.08565 (2015) - [i1]Yu Zhang, Guoguo Chen, Dong Yu, Kaisheng Yao, Sanjeev Khudanpur, James R. Glass:
Highway Long Short-Term Memory RNNs for Distant Speech Recognition. CoRR abs/1510.08983 (2015) - 2014
- [j5]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) - [c27]Kaisheng Yao, Baolin Peng, Geoffrey Zweig, Dong Yu, Xiaolong Li, Feng Gao:
Recurrent conditional random field for language understanding. ICASSP 2014: 4077-4081 - [c26]Dong Yu, Adam Eversole, Michael L. Seltzer, Kaisheng Yao, Brian Guenter, Oleksii Kuchaiev, Frank Seide, Huaming Wang, Jasha Droppo, Zhiheng Huang, Geoffrey Zweig, Christopher J. Rossbach, Jon Currey:
An introduction to computational networks and the computational network toolkit (invited talk). INTERSPEECH 2014 - [c25]Kaisheng Yao, Baolin Peng, Yu Zhang, Dong Yu, Geoffrey Zweig, Yangyang Shi:
Spoken language understanding using long short-term memory neural networks. SLT 2014: 189-194 - 2013
- [c24]Dong Yu, Kaisheng Yao, Hang Su, Gang Li, Frank Seide:
KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition. ICASSP 2013: 7893-7897 - [c23]Li Deng, Jinyu Li
Recent advances in deep learning for speech research at Microsoft. ICASSP 2013: 8604-8608 - [c22]Yangyang Shi, Mei-Yuh Hwang, Kaisheng Yao, Martha A. Larson:
Speed up of recurrent neural network language models with sentence independent subsampling stochastic gradient descent. INTERSPEECH 2013: 1203-1207 - [c21]Kaisheng Yao, Geoffrey Zweig, Mei-Yuh Hwang, Yangyang Shi, Dong Yu:
Recurrent neural networks for language understanding. INTERSPEECH 2013: 2524-2528 - 2012
- [j4]Daniel Povey, Kaisheng Yao:
A basis representation of constrained MLLR transforms for robust adaptation. Comput. Speech Lang. 26(1): 35-51 (2012) - [c20]Kaisheng Yao, Yifan Gong, Chaojun Liu:
A Feature Space Transformation Method for Personalization using Generalized I-Vector Clustering. INTERSPEECH 2012: 1352-1355 - [c19]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
- [c18]Daniel Povey, Kaisheng Yao:
A basis method for robust estimation of constrained MLLR. ICASSP 2011: 4460-4463
2000 – 2009
- 2007
- [c17]Kaisheng Yao, Lorin Netsch:
An Approach to Low Footprint Pronunciation Models for Embedded Speaker Independent Name Recognition. ICASSP (4) 2007: 965-968 - 2006
- [c16]Kaisheng Yao, Lorin Netsch, Vishu Viswanathan:
Speaker-Independent Name Recognition Using Improved Compensation and Acoustic Modeling Methods for Mobile Applications. ICASSP (1) 2006: 173-176 - 2005
- [j3]Kaisheng Yao, Kuldip K. Paliwal
Generative factor analyzed HMM for automatic speech recognition. Speech Commun. 45(4): 435-454 (2005) - 2004
- [j2]Kaisheng Yao, Te-Won Lee:
Time-Varying Noise Estimation for Speech Enhancement and Recognition Using Sequential Monte Carlo Method. EURASIP J. Adv. Signal Process. 2004(15): 2366-2384 (2004) - [j1]Kaisheng Yao, Kuldip K. Paliwal
Noise adaptive speech recognition based on sequential noise parameter estimation. Speech Commun. 42(1): 5-23 (2004) - [c15]Te-Won Lee, Kaisheng Yao:
Speech enhancement by perceptual filter with sequential noise parameter estimation. ICASSP (1) 2004: 693-696 - [c14]Hoon-Young Cho, Kaisheng Yao, Te-Won Lee:
Emotion verification for emotion detection and unknown emotion rejection. INTERSPEECH 2004: 1345-1348 - 2003
- [c13]Kaisheng Yao, Erik M. Visser, Oh-Wook Kwon, Te-Won Lee:
A speech processing front-end with eigenspace normalization for robust speech recognition in noisy automobile environments. INTERSPEECH 2003: 9-12 - [c12]Kaisheng Yao, Kuldip K. Paliwal, Te-Won Lee:
Speech recognition with a generative factor analyzed hidden Markov model. INTERSPEECH 2003: 849-852 - [c11]Kaisheng Yao, Kuldip K. Paliwal, Satoshi Nakamura:
Model based noisy speech recognition with environment parameters estimated by noise adaptive speech recognition with prior. INTERSPEECH 2003: 1273-1276 - 2002
- [c10]Kaisheng Yao, Kuldip K. Paliwal
Noise adaptive speech recognition in time-varying noise based on sequential kullback proximal algorithm. ICASSP 2002: 189-192 - [c9]Kaisheng Yao, Donglai Zhu, Satoshi Nakamura:
Evaluation of a noise adaptive speech recognition system on the Aurora 3 database. INTERSPEECH 2002: 457-460 - [c8]Kaisheng Yao, Kuldip K. Paliwal, Satoshi Nakamura:
Noise adaptive speech recognition with acoustic models trained from noisy speech evaluated on Aurora-2 database. INTERSPEECH 2002: 2437-2440 - 2001
- [c7]Kaisheng Yao, Jingdong Chen, Kuldip K. Paliwal, Satoshi Nakamura:
Feature extraction and model-based noise compensation for noisy speech recognition evaluated on AURORA 2 task. INTERSPEECH 2001: 233-236 - [c6]Kaisheng Yao, Kuldip K. Paliwal, Satoshi Nakamura:
Sequential noise compensation by a sequential kullback proximal algorithm. INTERSPEECH 2001: 1139-1142 - [c5]Kaisheng Yao, Satoshi Nakamura:
Sequential Noise Compensation by Sequential Monte Carlo Method. NIPS 2001: 1205-1212 - 2000
- [c4]Kaisheng Yao, Bertram E. Shi
Residual noise compensation for robust speech recognition in nonstationary noise. ICASSP 2000: 1125-1128 - [c3]Bertram E. Shi
Soft GPD for minimum classification error rate training. ICASSP 2000: 1253-1256 - [c2]Kaisheng Yao, Bertram E. Shi, Satoshi Nakamura, Zhigang Cao:
Residual noise compensation by a sequential EM algorithm for robust speech recognition in nonstationary noise. INTERSPEECH 2000: 770-773
1990 – 1999
- 1999
- [c1]Kaisheng Yao, Bertram E. Shi, Pascale Fung, Zhigang Cao:
Liftered forward masking procedure for robust digits recognition. EUROSPEECH 1999: 2873-2876
Coauthor Index
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last updated on 2024-10-21 20:31 CEST by the dblp team
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