Mr. GUO CHENG

Tel: 317-***-**** Email: ad1zzw@r.postjobfree.com Github Google Scholar IEEE Linkedin Education

Purdue University, Ph.D. in Computer Science 08/2016 - 09/2022

• Research Interest: Computer Vision, Autonomous Driving, Deep Learning Stony Brook University, M.S. in Statistics 08/2013 - 05/2015 Wuhan Textile University, B.S. in Information and Computer Science 09/2009 - 06/2013 Selected Publications

• G. Cheng. Sequential Semantic Segmentation of Streaming Scenes for Autonomous Driving. (Doctoral Dissertation at Purdue University, Dec. 2022)

• G. Cheng, J. Zheng. Shift-Memory Network for Temporal Scene Segmentation. arXiv: 2202.08399.

• G. Cheng, J. Zheng. Sequential Semantic Segmentation of Road Profiles for Path and Speed Planning. IEEE Transactions on Intelligent Transportation System (T-ITS).

• G. Cheng, J. Zheng. SE3: Sequential Semantic Segmentation of Large Images with Minimized Memory. International Conference on Pattern Recognition (ICPR 2022).

• G. Cheng, J. Zheng. Semantic Segmentation for Pedestrian Detection from Motion in Temporal Domain. International Conference on Pattern Recognition (ICPR 2020).

• G. Cheng, J. Zheng, M. Kilicarslan. Semantic Segmentation of Road Profiles for Efficient Sensing in Autonomous Driving. IEEE Intelligent Vehicles Symposium (IV 2019).

• G. Cheng, J. Zheng, H. Murase. Sparse Coding of Weather and Illuminations for ADAS and Autonomous Driving. IEEE Intelligent Vehicles Symposium (IV 2018).

• G. Cheng, Z. Wang, J. Zheng. Modeling Weather and Illuminations in Driving Views Based on Big-Video Mining. IEEE Transactions on Intelligent Vehicles (T-IV).

• G. Cheng, Z. Wang, J. Zheng. Big-Video Mining of road appearances in full spectrums of weather and illuminations. IEEE International Conference on Intelligent Transportation Systems (ITSC 2017).

• Z. Wang, G. Cheng, J. Zheng. Planning autonomous driving with compact road profiles (ITSC 2021).

• Z. Wang, G. Cheng, J. Zheng. Road Edge Detection in All Weather and Illumination via Driving Video Mining. IEEE Transactions on Intelligent Vehicles (T-IV).

• T. Chen, G. Cheng, S. Shi. Straight Edge Extraction from LiDAR Images. IEEE International Conference on Control Engineering and Communication Technology (ICCECT 2012). Work Experiences

• Software Engineer at Bloomberg, New York City, NY 10/2022 –

- Create dynamic and flexible data models for analytics which completely automates the analytics lifecycle from raw data to actionable intelligence in DISCO. My work embeds new AI functions of business intelligence and analytics to Bloomberg Terminal. (Machine Learning, Python)

- Trade processing and management of regulatory for Trade Order Management Solutions (TOMS) of Bloomberg terminal, which provides fixed income firms integrated services. (Backend, C++)

• Intern as Data Scientist at ClearObject, Indianapolis, IN 05/2021 - 08/2021

- Develop 2D/3D object detection/tracking models for real-time AI surveillance. (Computer Vision)

- Proposed the Temporal-Shift-Memory network to avoid computational repeat in real-time inference, it enables the application of deep learning models on edge devices. (Deep Learning, TensorFlow)

• Intern as Research Quant at FinAnalytica (BISAM), New York City, NY 09/2015 - 12/2015

- Time Series based data mining of stock portfolio management. Skills & Languages

• Languages: Python (TensorFlow/Keras/PyTorch), C++, JavaScript, TypeScript CUDA, CuDNN, Nano