Biography

Kaixiang is responsible for the intelligent customer service systems for multiple financial products in WeBank including Weilidai, Weiyedai, Wechedai, etc.

He has many papers published in top-tier conferences such as AAAI, SIGKDD and IJCAI. He serves as a program committee member (reviewer) for several conferences such as AAAI, IJCAI and ACML.

He received his PhD. degree at Department of Computer Science and Engineering, Hong Kong University of Science and Technology. His supervisor was Prof. Qiang Yang. He received his bachelor degree in computer science from Sun Yat-sen University, Guangzhou.

He was the world champion of Nokia Mobile Data Challenge 2012 on the Demographic Prediction Task.

Work Experience

  • Led a team to design and build intelligent training robots, which help new employees go to work faster and reduces the cost of new employee training.

  • Led a team to bid, design and deliver multiple intelligent customer service projects to important clients including China National Clearing Center, Shenzhen bureau of local financial supervision, Qianhai district bureau of local financial supervision.

  • Responsible for the WeBank customer service system, which serves multiple WeBank products like Weilidai, Weiyedai, Weichedai, etc. It provides 24 hour intelligent customer service for WeBank products, handles more than 90% of the messages automatically, reduces the workload of human agents by 90%.

  • Responsible for the Saas intelligent customer service system, which serves many business partners including Chang Hong, Bank of Shangrao, Bao Sheng Country Bank, etc.

  • Designed and built task-oriented dialogue modules for multiple dialogue systems. Designed a semi-auto system to reduce the human effort required to configure a task.

  • Led a team to design and build the WeBot, a robot capable of greeting our clients and employees, hosting conference, navigating the WeBank building, answering questions, singing, playing videos.

Research Interest

Dialogue System, Transfer Learning, Reinforcement Learning

Publication

  • Shuangyin Li, Yu Zhang, Rong Pan, Kaixiang Mo, Adaptive Probabilistic Word Embedding, The Web Conference 2020 (WWW 2020), April 20-24, 2020 Taipei.

  • Kaixiang Mo, Transfer Reinforcement Learning for Task-oriented Dialogue Systems, HKUST PhD Thesis, 2018. [PDF] [Slides]

  • 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]

  • Kaixiang Mo, Yu Zhang, Qiang Yang, Pascale Fung, Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems, Arxiv Preprint, 2017. [Link] [PDF] [Slides]

  • 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]

  • 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]

  • Kaixiang Mo, Qiang Yang, A Survey of Task-Oriented Dialogue Systems, PQE survey, 2017. [PDF] [Slides]

  • 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]

  • 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]

  • 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]

  • Erheng Zhong, Ben Tan, Kaixiang Mo, Qiang Yang. User demographics prediction based on mobile data. Pervasive and Mobile Computing Journal. (Accepted)

  • 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]

Academic Service

  • IJCAI 2020 Reviewer
  • AAAI 2020 Reviewer
  • ACML 2020 Reviewer

Last update on 19th April 2021

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