Yishu Miao : Publications
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[1]
Discovering Discrete Latent Topics with Neural Variational Inference
Yishu Miao‚ Edward Grefenstette and Phil Blunsom
In the 34th International Conference on Machine Learning (ICML). 2017.
Details about Discovering Discrete Latent Topics with Neural Variational Inference | BibTeX data for Discovering Discrete Latent Topics with Neural Variational Inference | Link to Discovering Discrete Latent Topics with Neural Variational Inference
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[2]
Latent Intention Dialogue Models
Tsung−Hsien Wen*‚ Yishu Miao*‚ Phil Blunsom and Steve J. Young
In the 34th International Conference on Machine Learning (ICML). 2017.
Details about Latent Intention Dialogue Models | BibTeX data for Latent Intention Dialogue Models | Download (pdf) of Latent Intention Dialogue Models
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[3]
Tag−Aware Personalized Recommendation Using a Hybrid Deep Model
Zhenghua Xu‚ Thomas Lukasiewicz‚ Cheng Chen‚ Yishu Miao and Xiangwu Meng
In Carles Sierra, editor, Proceedings of the 26th International Joint Conference on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚ August 19−25‚ 2017. Pages 3196–3202. IJCAI/AAAI Press. August, 2017.
Details about Tag−Aware Personalized Recommendation Using a Hybrid Deep Model | BibTeX data for Tag−Aware Personalized Recommendation Using a Hybrid Deep Model | Download (pdf) of Tag−Aware Personalized Recommendation Using a Hybrid Deep Model
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[4]
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Yishu Miao and Phil Blunsom
In the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2016.
Details about Language as a Latent Variable: Discrete Generative Models for Sentence Compression | BibTeX data for Language as a Latent Variable: Discrete Generative Models for Sentence Compression | Link to Language as a Latent Variable: Discrete Generative Models for Sentence Compression
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[5]
Neural Variational Inference for Text Processing
Yishu Miao‚ Lei Yu and Phil Blunsom
In the 33rd International Conference on Machine Learning (ICML). 2016.
Details about Neural Variational Inference for Text Processing | BibTeX data for Neural Variational Inference for Text Processing | Link to Neural Variational Inference for Text Processing
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[6]
Tag−Aware Personalized Recommendation Using a Deep−Semantic Similarity Model with Negative Sampling
Zhenghua Xu‚ Cheng Chen‚ Thomas Lukasiewicz‚ Yishu Miao and Xiangwu Meng
In the 25th ACM International Conference on Information and Knowledge Management (CIKM). 2016.
Details about Tag−Aware Personalized Recommendation Using a Deep−Semantic Similarity Model with Negative Sampling | BibTeX data for Tag−Aware Personalized Recommendation Using a Deep−Semantic Similarity Model with Negative Sampling
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[7]
Bayesian Optimisation for Machine Translation
Yishu Miao‚ Ziyu Wang and Phil Blunsom
In Bayesian Optimisation Workshop‚ the 28th Annual Conference on Neural Information Processing Systems (NIPS). 2014.
Details about Bayesian Optimisation for Machine Translation | BibTeX data for Bayesian Optimisation for Machine Translation | Link to Bayesian Optimisation for Machine Translation
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[8]
Context−aware reasoning middle ware applied in the mobile environment
Jian Wu‚ Chunping Li‚ Yishu Miao‚ Shaoxu Song‚ Li Li and Qiang Ding
In the International Conference on Machine Learning and Cybernetics (ICMLC). 2013.
Details about Context−aware reasoning middle ware applied in the mobile environment | BibTeX data for Context−aware reasoning middle ware applied in the mobile environment
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[9]
Research on Mining Common Concern via Infinite Topic Modelling
Yishu Miao‚ Chunping Li‚ Qiang Ding and Li Li
In ODMWI workshop‚ the IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI/IAT). 2012.
Details about Research on Mining Common Concern via Infinite Topic Modelling | BibTeX data for Research on Mining Common Concern via Infinite Topic Modelling
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[10]
Infinite Topic Modelling for Trend Tracking
Yishu Miao‚ Chunping Li‚ Hui Wang and Lu Zhang
In the International Conference on Knowledge Discovery and Information Retrieval (KDIR). 2012.
Details about Infinite Topic Modelling for Trend Tracking | BibTeX data for Infinite Topic Modelling for Trend Tracking