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 Lizi Liao

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Average citations per article21.00
Citation Count210
Publication count10
Publication years2014-2019
Available for download7
Average downloads per article870.71
Downloads (cumulative)6,095
Downloads (12 Months)3,742
Downloads (6 Weeks)311
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8 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
May 2019 WWW '19: The World Wide Web Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 26,   Downloads (12 Months): 97,   Downloads (Overall): 97

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Multimodal dialogue systems are attracting increasing attention with a more natural and informative way for human-computer interaction. As one of its core components, the belief tracker estimates the user's goal at each step of the dialogue and provides a direct way to validate the ability of dialogue understanding. However, existing ...

2 published by ACM
October 2018 MM '18: Proceedings of the 26th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 57,   Downloads (12 Months): 346,   Downloads (Overall): 346

Full text available: PDFPDF
By offering a natural way for information seeking, multimodal dialogue systems are attracting increasing attention in several domains such as retail, travel etc. However, most existing dialogue systems are limited to textual modality, which cannot be easily extended to capture the rich semantics in visual modality such as product images. ...
Keywords: domain knowledge, fashion, multimodal dialogue

3 published by ACM
October 2018 MM '18: Proceedings of the 26th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 14,   Downloads (12 Months): 360,   Downloads (Overall): 360

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Deep learning methods have been successfully applied to fashion retrieval. However, the latent meaning of learned feature vectors hinders the explanation of retrieval results and integration of user feedback. Fortunately, there are many online shopping websites organizing fashion items into hierarchical structures based on product taxonomy and domain knowledge. Such ...
Keywords: attribute manipulation, ei tree, multimodal fashion retrieval

4 published by ACM
October 2018 MM '18: Proceedings of the 26th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 15,   Downloads (12 Months): 271,   Downloads (Overall): 271

Full text available: PDFPDF
Multimodal fashion chatbot provides a natural and informative way to fulfill customers' fashion needs. However, making it 'smart' in generating substantive responses remains a challenging problem. In this paper, we present a multimodal domain knowledge enriched fashion chatbot. It forms a taxonomy-based learning module to capture the fine-grained semantics in ...
Keywords: fashion chatbot, multimodal knowledge

5
August 2017 IJCAI'17: Proceedings of the 26th International Joint Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

Owing to the fast-responding nature and extreme success of social media, many companies resort to social media sites for monitoring the reputation of their brands and the opinions of general public. To help companies monitor their brands, in this work, we delve into the task of extracting representative aspects and ...

6
April 2017 WWW '17: Proceedings of the 26th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 198
Downloads (6 Weeks): 213,   Downloads (12 Months): 2,376,   Downloads (Overall): 4,453

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In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of deep neural networks on recommender systems has received relatively less scrutiny. In this work, we strive to develop techniques based on neural networks to tackle the key ...
Keywords: collaborative filtering, deep learning, implicit feedback, matrix factorization, neural networks

7 published by ACM
September 2014 HT '14: Proceedings of the 25th ACM conference on Hypertext and social media
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 2,   Downloads (Overall): 140

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User attribute extraction on social media has gain considerable attention, while existing methods are mostly supervised which suffer great difficulty in insufficient gold standard data. In this paper, we validate a strong hypothesis based on homophily and adapt it to ensure the certainty of user attribute we extracted via weakly ...
Keywords: age prediction, social network analysis, homophily

8
July 2014 AAAI'14: Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 2

As the rapid growth of online social media attracts a large number of Internet users, the large volume of content generated by these users also provides us with an opportunity to study the lexical variation of people of different ages. In this paper, we present a latent variable model that ...



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