MS in Computer Science, 2021-2023. Stanford, California, US
BE in Industrial Engineering, 2016-2020. Beijing, CHINA
Aug 2023 - Present. Redmond, Washington, US
Working in Bing Ads Team.
Data & Applied Scientist Intern
Jun 2022 - Sep 2022. Bellevue, Washington, US
Worked in Bing Ads Team on multi-modality model pruning. Extended Transformer models’ structured pruning methods into CLIP (Contrastive Language-Image Pre-training) for the first time. Reduced the model size significantly (-40%) with a slight accuracy drop (-1%).
Machine Learning Engineer
Jul 2020 - Aug 2021. Beijing, CHINA
Worked on natural language processing (NLP) at Language and Information Technology Group (LITG), AI Lab, supervised by Dr. Hang Li. Constructed a fake news detection pipeline from scratch, and built bot-written articles detection models.
Jan 2023 - Jun 2023
Worked at Stanford Brains in Silicon Lab on dendritic computation for knowledge systems, supervised by Prof. Kwabena Boahen and Prof. Matei Zaharia. Built powerful and efficient document retrieval systems with quantization techniques.
Jul 2020 - Aug 2021
Worked on model-based reinforcement learning (RL) for training task-oriented dialogue systems supervised by Prof. Tengyu Ma. Part of Stanford UGVR program ($11,400 sponsorship. Up to 18 students from China are admitted per year).
1st Prize in National Olympiad in Informatics in Provinces