I came to Microsoft Research in March 1998, first as a Researcher in the speech technology group working on the areas of spoken language understanding and dialog modeling. I contributed to the project MiPad and created the Speech Application Language Tags, or SALT that was later submitted to the world wide web consortium (W3C) and now part of the international standards ISO/IEC 18051/ECMA-269/ETSI TS 102 173, ISO/IEC 18056/ECMA-323/ETSI TS 101 990, and ECMA-348. An object model version, described in this TR I wrote, has entered its final phase of being standardized. I also contributed to W3C Speech Recognition Grammar Specification (SRGS), W3C Speech Synthesis Markup Language (SSML), and various other publications from W3C Multimodal Interaction Working Group. Many of my research papers can still be found at the speech group's publication list and video demo area.
In January 2004, I moved to the speech product group and became a software architect. There I helped create and ship the product Microsoft Speech Server, which is still powering the corporate call center for Microsoft. Calling into Microsoft's main number +1(425)882-8080, you will be greeted by my automated operator, MS Connect. In this capacity, I also managed the revision of the speech system used in the Microsoft Voice Command, an add-on to Windows Mobile smart phone that enables the user to control the device by voice.
I was a founding member of an incubation group inside Microsoft that ships Microsoft Response Point, a speech-enabled small business phone system that uses voice over Internet Protocol (VoIP) technologies. Because the incubation group was structured to run like a start-up inside Microsoft, I had the opportunity to be the acting development manager and later the testing manager to build the engineering team from ground up, and participated in the product management/marketing and business development activities. It was quite a fun ride. In addition to the speech capabilities, I was also responsible to ensure the product is easy to setup and easy to use, including the invention of the magic "Response Point button" that earns Microsoft revenue on every phone sold without even having Microsoft software on it! I am especially glad that these and other innovations of the product have received awards and customer feedback.
Since September 2007, I have been back in Microsoft Research, joining the newly founded Internet Service Research Center. I have been working on Web search, an area I have found that many speech technologies apply. I am responsible for creating Microsoft Web N-gram Services, which powers cute demo like wordbreaker4web.
Before joining Microsoft, I worked at Bell Labs, Murray Hill, NJ, from 1994 to 1996, and what used to call NYNEX (now part of Verizon) Science and Technology Center in White Plains, NY. I received M.S. and Ph.D from University of Maryland, College Park, MD in 1989 and 1994, and B.S. from National Taiwan University in 1986, all in Electrical Engineering.
- Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, and Kuansan Wang, An Overview of Microsoft Academic Service (MAS) and Applications, WWW – World Wide Web Consortium (W3C), 18 May 2015.
- Kuansan Wang, The Knowledge Web Meets Big Scholars, ACM – Association for Computing Machinery, 18 May 2015.
- Yang Song, Weiwei Cui, Shixia Liu, and Kuansan Wang, Online Behavioral Genome Sequencing from Usage Logs: Decoding the Search Behaviors, in WWW 2014, ACM, March 2014.
- Yuzhe Jin, Emre Kıcıman, Kuansan Wang, and Ricky Loynd, Entity Linking at the Tail: Sparse Signals, Unknown Entities and Phrase Models, in The 7th ACM Web Search and Data Mining Conference (WSDM 2014), ACM, 24 February 2014.
- Yanen Li, Bo-June Paul Hsu, ChengXiang Zhai, and Kuansan Wang, Mining Entity Attribute Synonyms via Compact Clustering, in CIKM, ACM, 27 October 2013.
- Xian-Sheng Hua, Linjun Yang, Jingdong Wang, Jing Wang, Ming Ye, Kuansan Wang, Yong Rui, and Jin Li, Clickage: Towards Bridging Semantic and Intent Gaps via Mining Click Logs of Search Engines, in ACM Multimedia 2013, ACM Conference on Multimedia, 21 October 2013.
- Yuzhe Jin, Kuansan Wang, and Emre Kıcıman, Sparse Lexical Representation for Semantic Entity Resolution, in ICASSP 2013, IEEE, 26 May 2013.
- Yang Song, Hao Ma, Hongning Wang, and Kuansan Wang, Exploring and Exploiting User Search Behavior on Mobile and Tablet Devices to Improve Search Relevance, in WWW 2013, ACM, May 2013.
- Jeff Huang, Ryen White, Georg Buscher, and Kuansan Wang, Improving Searcher Models Using Mouse Cursor Activity, in Proceedings of SIGIR, 2012.
- Yanen Li, Bo-June Paul Hsu, ChengXiang Zhai, and Kuansan Wang, Unsupervised Query Segmentation Using Clickthrough for Information Retrieval, in SIGIR 2011, ACM, 24 July 2011.