ICWL-SETE Program

Draft program:
Outline Program
ICWL paper sessions
SETE paper sessions

During the conference the presented ICWL papers can be downloaded here .

Presenter Instructions

Normal papers and short papers have been allocated 25 and 20 minutes respectively. Please prepare your talk accordingly allowing about 5 minutes of questions from the audience.
Please report to your session venue at least 10 minutes before start to meet Session Chair and test you PC.
It is expected that each speaker has his own PC for presenting. As back-up also bring your talk on USB - in case of technical difficulties your fellow speakers should be happy to help you out.

ICWL Keynote Speaker

Speaker: Dr. Xuedong Huang, Microsoft Technical Fellow in AI and Research

Title: Deep Learning Lessons Learned

Abstract:

Deep learning is a major force to advance core technology used for computer vision, speech recognition, machine translation, and web search. It is well understood that big data, big compute, and deep learning algorithms are three pillars. I will share some deeper lessons in advancing Microsoft’s AI stack around these three pillars and exemplify how we developed Cognitive Toolkit (CNTK), Cognitive Services, and how we achieved the historical milestone of transcribing conversational speech on the Switchboard task.

Biography:

Xuedong (XD) Huang is a Microsoft Technical Fellow in AI and Research. He leads Microsoft's Speech and Language Group. In 1993, Huang joined Microsoft to found the company's speech technology group. As the general manager of Microsoft's spoken language efforts, he helped to bring speech to the mass market by introducing SAPI to Windows in 1995 and Speech Server to the enterprise call center in 2004. He served as General Manager for MSR Incubation and Chief Architect for Bing and Ads. In 2015, he returned to AI and Research to lead the advanced technology group. In 2016, he led the team achieving a historical conversational speech recognition human parity milestone on the Switchboard task. He helped to advance AI across Microsoft's whole AI Stack:
• Solutions: AI for customer support (Project Toronto), Voice Assistant Cortana, Microsoft Translator • APIs: Cognitive Services on Azure
• Engines: Speech, Machine translation, Gesture, and NLP
• Deep Learning infrastructure: Cognitive Toolkit (CNTK) and GPU Cluster (Project Philly)
He was on the faculty of School of Computer Sciences at Carnegie Mellon University before joining Microsoft. He received Alan Newell research excellence leadership medal in 1992 and IEEE Best Paper Award in 1993. He was named the Asian American Engineer of the Year (2011), and Wired Magazine's 25 Geniuses (2016). He holds over 100 patents and published over 100 papers & 2 books. He received his PhD, MS, and BS in Computer Science from the University of Edinburgh, Tsinghua University, and Hunan University respectively. He has been elected fellow of IEEE and ACM. More details can be referred to: https://www.microsoft.com/en-us/research/people/xdh/