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Kaixiang Mo
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Flexible end-to-end dialogue system for knowledge grounded conversation
W Zhu, K Mo, Y Zhang, Z Zhu, X Peng, Q Yang
arXiv preprint arXiv:1709.04264, 2017
972017
Personalizing a dialogue system with transfer reinforcement learning
K Mo, Y Zhang, S Li, J Li, Q Yang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
96*2018
User demographics prediction based on mobile data
E Zhong, B Tan, K Mo, Q Yang
Pervasive and mobile computing 9 (6), 823-837, 2013
802013
Cross-task crowdsourcing
K Mo, E Zhong, Q Yang
Proceedings of the 19th ACM SIGKDD international conference on knowledge …, 2013
642013
Image feature learning for cold start problem in display advertising
K Mo, B Liu, L Xiao, Y Li, J Jiang
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
372015
Report of task 3: your phone understands you
K Mo, B Tan, E Zhong, Q Yang
Nokia mobile data challenge 2012 workshop, Newcastle, UK, 18-19, 2012
172012
Fine grained knowledge transfer for personalized task-oriented dialogue systems
K Mo, Y Zhang, Q Yang, P Fung
arXiv preprint arXiv:1711.04079, 2017
82017
Understanding User Perceptions of Robot's Delay, Voice Quality-Speed Trade-off and GUI during Conversation
Z Peng, K Mo, X Zhu, J Chen, Z Chen, Q Xu, X Ma
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020
72020
Your phone understands you
K Mo, B Tan, E Zhong, Q Yang
Nokia 1600, 12, 2012
62012
Cross-domain dialogue policy transfer via simultaneous speech-act and slot alignment
K Mo, Y Zhang, Q Yang, P Fung
arXiv preprint arXiv:1804.07691, 2018
52018
Integrating user and agent models: A deep task-oriented dialogue system
W Wang, Y Wu, Y Zhang, Z Lu, K Mo, Q Yang
arXiv preprint arXiv:1711.03697, 2017
42017
Transfer reinforcement learning for task-oriented dialogue systems
K Mo
12018
A Survey of Task-oriented Dialogue Systems
K Mo
2017
Transferring SLU Models in Novel Domains
Y Tang, K Mo, Q Xu, C Zhang, Q Yang
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Articles 1–14