Pattern Recognition Researcher
AI Lab, Lenovo Research, Beijing, China.
I am Chenchen Yu. Now I work at Lenovo Research as a pattern recognition researcher in Beijing, China. I got my bachelor and master degree from Beijing University of Posts and Telecommunications in 2015 and 2018 respectively. I once worked in Didi Chuxing(the leading one-stop mobile transportation platform in China) and Baidu Tech(the biggest search company in China) as a student intern.
My research direction is machine learning, deep learning, speech enhancement, acoustic sound event detection, etc.
My Github: https://github.com/yucc2018/
My Blog: http://yucc.me/blog/
Mar. 2018 - Aug. 2015 M.S. in Information and Communication Engineering Beijing University of Posts and Telecommunications
Aug. 2011 - Jul. 2015 B.S. in Information Engineering Beijing University of Posts and Telecommunications
Artificial Intelligence Lab, Lenovo Research, Beijing, China Full-time Pattern Recognition Researcher Apr. 2018 - present
Machine learning(SVM/GBDT, etc) and deep learning (DNN/CNN/LSTM, etc) based environmental sound classification and analysis.
Recommended System Platform, Baidu co., ltd, Beijing，China Algorithm Engineer Intern Dec. 2017 - Mar. 2018
Time and location based Baidu feed recommendation. When you go to work, to the tourist attractions, or friday, or weekend, we will recommend the appropriate information to you by algorithms.
Artificial Intelligence Lab, Didi Chuxing co., ltd, Beijing, China Algorithm Engineer Intern Jul. 2017 - Nov. 2017
Using spark processing driver characteristic data, according to part of the label data, using xgboost and other model methods to predict the satisfaction of the full Didi Chuxing platform drivers.
Pattern Recognition and Intelligent System Lab, BUPT, Beijing, China Graduate student Aug. 2015 – Mar. 2018
Working on abnormal audio event classification, I extracted time domain and frequency features and extract the statistical features of an audio. Experiments were performed using different classifiers such as Support Vector Machine, Random Forest and Deep Neural Network in the public data sets including UrbanSound8K and ESC-10.
Pattern Recognition and Intelligent System Lab, BUPT, Beijing, China Undergraduate student Dec. 2014 – Jul. 2015
I did the project of my undergraduate thesis about automatic tagging of text.
Languages: C++, Python
Frameworks: NumPy, SciPy, Pandas, PyTorch, Keras
Systems: Linux, OSX, Windows
unique visitors since July 2018
Last update: July 2018