简介
凯翔负责微众银行的多个产品的智能客服系统，例如微粒贷，微业贷，微车贷等。
凯翔在SIGKDD，IJCAI，AAAI等顶级人工智能会议发表了论文，他还是AAAI，IJCAI和ACML等顶级人工智能会议的审稿人。
凯翔在香港科技大学计算机与工程系获得了博士学位，他的导师是杨强教授。 凯翔是中山大学计算机系本科毕业生。
凯翔获得了2012年诺基亚移动数据大赛的用户属性预测任务的世界冠军。
工作经验
带领团队设计，实施并上线了智能培训机器人项目，该机器人可以让新员工更迅速地熟悉工作话术，减少新人培训时间。
带领团队竞标，设计，实施并交付了多个智能客服系统项目，包括中国人民银行清算总中心接入组智能客服项目，深圳金融办智能信访助手项目，前海金融办智能信访助手项目等。
负责微众银行智能客服系统技术和算法开发，该智能客服系统正在24小时支持微众银行的各个产品，例如微粒贷，微业贷，微车贷等。 现在这些产品90%以上的消息由智能客服系统自动回复，减少了人工坐席90%的工作量。
负责微众银行Saas云上智能客服系统技术和算法开发，该系统正在服务包括长虹电器，上饶银行，宝生村镇银行等第三方合伙伙伴。
设计并开发上线了多轮任务型对话系统模块。 设计了任务半自动化配置系统，该系统可以根据用户提供的多个同类对话的样例，半自动化挖掘填充任务型对话场景的配置，用户只需确认，无需枚举，降低了多轮对话任务配置的难度。
带领团队设计，实施并上线了“小薇同学”智能实体机器人，该机器人可以接待客户和员工，主持会议，在微众生态园职场内上下电梯导航带路，问答公司常识，唱歌，播放宣传视频等。 “小薇同学”智能实体机器人项目提升了微众银行的科技形象。
研究兴趣
对话系统，迁移学习，强化学习
论文
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Shuangyin Li, Yu Zhang, Rong Pan, Kaixiang Mo, Adaptive Probabilistic Word Embedding, The Web Conference 2020 (WWW 2020), April 20-24, 2020 Taipei.
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Kaixiang Mo, Transfer Reinforcement Learning for Task-oriented Dialogue Systems, HKUST PhD Thesis, 2018. [PDF] [Slides]
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Kaixiang Mo, Yu Zhang, Qiang Yang, Pascale Fung, Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment, Arxiv Preprint, 2018. [Link] [PDF] [Slides]
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Kaixiang Mo, Yu Zhang, Qiang Yang, Pascale Fung, Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems, Arxiv Preprint, 2017. [Link] [PDF] [Slides]
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Weiyan Wang, Yuxiang WU, Yu Zhang, Zhongqi Lu, Kaixiang Mo, Qiang Yang, Integrating User and Agent Models: A Deep Task-Oriented Dialogue System, Arxiv Preprint, 2017. [Link]
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Wenya Zhu, Kaixiang Mo, Yu Zhang, Zhangbin Zhu, Xuezheng Peng, Qiang Yang, Flexible End-to-End Dialogue System for Knowledge Grounded Conversation, Arxiv Preprint, 2017. [Link]
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Kaixiang Mo, Qiang Yang, A Survey of Task-Oriented Dialogue Systems, PQE survey, 2017. [PDF] [Slides]
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Kaixiang Mo, Shuangyin Li, Yu Zhang, Jiajun Li, Qiang Yang, Personalizing a Dialogue System with Transfer Reinforcement Learning, The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), February 2nd - February 7th, 2018, New Orleans, Lousiana, USA. [Link] [Slides]
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Kaixiang Mo, Bo Liu, Lei Xiao, Yong Li, Jie Jiang, Image Feature Learning for Cold Start Problem in Display Advertising, International Joint Conference on Artificial Intelligence (IJCAI 2015), July 25th - July 31st, 2015, Buenos Aires, Argentina. [PDF]
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Kaixiang Mo, Erheng Zhong, Qiang Yang, Cross-Task Crowdsourcing, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2013), August, 2013, Chicago, Illinois, USA. [PDF] [Data]
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Erheng Zhong, Ben Tan, Kaixiang Mo, Qiang Yang. User demographics prediction based on mobile data. Pervasive and Mobile Computing Journal. (Accepted)
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Kaixiang Mo, Ben Tan, Erheng Zhong and Qiang Yang. Your Phone Understands You. Nokia Mobile Data Challenge Workshop, in conjunction with Pervasive'12, Newcastle, June 2012. [PDF] First Place in Demographic Prediction Task. [Link]
学术服务
- IJCAI 2020 Reviewer
- AAAI 2020 Reviewer
- ACML 2020 Reviewer