Yik-Cheung (Wilson) Tam

Yik-Cheung (Wilson) Tam is a Professor of Practice in Computer Science at NYU Shanghai. From 2017 to 2020, he was a principal NLP scientist and manager at WeChat AI focusing on research and development for Xiaowei,
a virtual personal assistant, and music recommendation. From 2015 to 2017, Wilson was a senior NLP scientist and manager at Microsoft (Suzhou) working on natural language understanding for Cortana, Microsoft's virtual personal assistant. He has six years of research experience in the United States, including with SRI international (formerly Stanford Research Institute), and Nuance communications Inc.

Select Publications

• Z. Wang and Y. C. Tam. Suffix Retrieval-Augmented Language Modeling. In Proceedings of ICASSP 2023
• Y. C. Tam, J. Xu, J. Zou, Z. Wang, T. Liao, S. Yuan. Robust Unstructured Knowledge Access In Conversational Dialogue With Automatic Speech Recognition Errors. In Proceedings of ICASSP, 2022
• Y. Huang, Y. Wang, Y. C. Tam. UNITER-Based Situated Coreference Resolution with Rich Multimodal Input (sub-task 2nd place in DSTC10 track 3). In AAAI workshop, 2022
• Y. C. Tam, J. Ding, C. Niu and J. Zhou. Cluster-based Beam Search for Pointer-Generator Chatbot Grounded by Knowledge (1st place in DSTC7 track 2). In Computer Speech & Language, volume 64, Elsevier, 2020
• Z. Liu, Z. Fu, J. Cao, G. Melo, Y. C. Tam, C. Niu, J. Zhou. Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation. In Proceedings of ACL, Florence, Italy, July 2019
• S. Sun, Y. C. Tam, J. Cao, C. Yan, Z. Fu, C. Niu and J. Zhou. End-to-end Gated Self-attentive Memory Network for Dialog Response Selection (won the second place on one sub-task of response selection track). In Proceedings of Dialog System Technology Challenges (DSTC7), Honolulu, Hawaii, USA, January 2019

Education

• PhD, Language Technologies
  School of Computer Science, Carnegie Mellon University, 2009

Awards

• Natural Language Processing course recognized as the First-Class Undergraduate Courses of Shanghai Higher Education Institutions in 2022. 

Research Interests 

• Natural Language Processing
• Recommender Systems
• Automatic Speech Recognition
• Machine Learning