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CV - Yu Cheng
CV
Education
- B.S. in Department of Engineering, Tsinghua University, 2010
- Ph.D. in Computer Science, Northwestern University, 2015
Work experience
2024 - Now: Associate Professor, The Chinese University of Hong Kong
- 2018 - 2023: Principal Researcher, Microsoft Research Redmond
- Led a team developing cutting-edge pre-training techniques for NLP and multimodal tasks;
- Led a team to integrate GPT-4 to Bing’s search services to provide the knowledge base for the New Bing; compressing GPT-4/ChatGPT to reduce the model size.
- 2015 - 2018: Research Staff Member, IBM T.J. Waterson Research Center
- Developed model compression techniques and applied them to image classification/object detection models in IBM Watson services;
- Led a team to develop deep generative models (GAN, VAE) based techniques, many of which have been productized to IBM products.
- 2023 - 2024: Visiting Professor, Rice University
- Teaching the graduate course “Special Topics in Deep Learning”
- 2018 - 2024: Visiting Professor, Renmin University of China
- Teaching the graduate course “Advanced Deep Learning”
Awards and honors
- 2024: IEEE SPS Young Author Best Paper Award
- 2024: Best Scientific Cybersecurity Paper by the National Security Agency
- 2024: Best Machine Learning and Security Paper in Cybersecurity Award
- 2023: Outstanding Datasets and Benchmarks Paper in NeurIPS 2023
- 2021: Best Student Paper Honourable Mention in WACV 2021
- 2020: Third place in the VQA Challenge 2020
- 2018: Second place in the Visual Dialogue Challenge
- 2016: Winner of Data Challenge in ICHI 2016
- 2015: Best Paper Finalist in SDM 2015
- 2014: First Place, NIST TRECVID 2014 Surveillance Event Detection
- 2013: Second Place, NIST TRECVID 2013 Surveillance Event Detection
- 2011: Best Paper Honourable Mention in ICEC 2011
- 2010: Best Paper Award in AROB 2010
