Projects per year
Personal profile
Personal profile
Dehui Yang earned his PhD from Colorado School of Mines in 2018. Before joining Xi’an Jiaotong-Liverpool University in 2023, he worked as an applied scientist at Uber Technologies Inc from 2021 to 2023, leading several company-wide initiatives in the areas of driver incentives pricing and driver risk modeling. Prior to that, he was one of the founding data scientists at Root Inc, with its IPO in October 2020, from 2018 to 2021, working on insurance pricing and reserving with statistical machine learning methods, telematics-based risk pricing, and more. His interests lie in the general areas of data science, including sparse signal processing and compressive sensing, predictive modeling using statistical machine learning techniques, and risk scoring and pricing. He serves as a reviewer for international journals, including IEEE Transactions on Signal Processing, IEEE Transactions on Image Processing, IEEE Transactions on Information Theory, IEEE Signal Processing Letters, IEEE Journal of Selected Topics in Signal Processing, Applied and Computational Harmonic Analysis, and Signal Processing.
Research interests
Sparse signal processing and compressive sensing
Applied machine learning and predictive modeling
Deep learning, LLM, and their applications in science and healthcare
Risk scoring
Experience
Assistant Professor, XJTLU, Suzhou, China, 2023-Now
Applied Scientist II, Uber Technologies Inc., San Francisco, CA, US, 2021-2023
Founding Data Scientist, Root Inc, Columbus, OH, US, 2018-2021
PhD Research Intern, Technicolor Research AI Lab, Los Altos, CA, US, 2017
Teaching
MTH416, Neural Networks and Deep Learning, XJTLU, Spring 2024, Spring 2025
MTH013, Calculus for Science and Engineering, XJTLU, Fall 2024
Undergraduate Data Science Reading Group, Spring 2024
MTH019, Calculus for Business, XJTLU, Fall 2023
EENG 411 Digital Signal Processing, Colorado School of Mines, Spring 2016
Awards and honours
Best Research Intern Runner-Up (among all PhD interns in US and France), Technicolor Research, 2017
Best Poster and Best Oral Presentation, Computing-Mines Affiliates Partnership Program (C-MAPP) Award Event, Colorado School of Mines, 2016
Best Poster Runner-Up, Computing-Mines Affiliates Partnership Program (C-MAPP) Award Event, Colorado School of Mines, 2015
Departmental Summer Fellowship, Colorado School of Mines, 2013
Education/Academic qualification
Ph.D. in Electrical Engineering, Colorado School of Mines, 2018
B.E. in Communication Engineering, Zhejiang University of Technology, 2011
Person Types
- Staff
Fingerprint
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Projects
- 1 Active
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Physics-Informed Deep Learning Approaches for Parameter Estimation and Super-Resolution
1/07/24 → 30/06/27
Project: Internal Research Project
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Robust Non-Stationary Blind Super-Resolution with Corrupted Measurements via Convex Demixing
Yang, D., 17 Apr 2025, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
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Atomic Norm Minimization for Modal Analysis From Random and Compressed Samples
Li, S., Yang, D., Tang, G. & Wakin, M. B., 1 Apr 2018, In: IEEE Transactions on Signal Processing. 66, 7, p. 1817-1831 15 p.Research output: Contribution to journal › Article › peer-review
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Weighted Matrix Completion and Recovery with Prior Subspace Information
Yang, D., Wakin, M. & Eftekhari, A., 16 Mar 2018, In: IEEE Transactions on Information Theory. 64, 6, p. 4044-4071 28 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A super-resolution algorithm for multiband signal identification
Zhu, Z., Yang, D., Wakin, M. B. & Tang, G., 2 Jul 2017, Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. Matthews, M. B. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 323-327 5 p. 8335193. (Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017; vol. 2017-October).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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SURF-2024-0248: Statistical Learning Approaches for Auto Insurance Pricing
Dehui Yang (Supervisor)
15 Jun 2024 → 28 Aug 2024Activity: Supervision › Completed SURF Project
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SURF-2024-0333: Deep Learning-Based AI Models for Breast Cancer Diagnosis Using Medical Imaging Data: A Case Study
Dehui Yang (Supervisor)
15 Jun 2024 → 28 Aug 2024Activity: Supervision › Completed SURF Project
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2024 Radar Workshop
Dehui Yang (Invited speaker)
13 Jan 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar
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IEEE Transactions on Signal Processing (Journal)
Dehui Yang (Reviewer)
9 Jan 2024 → 18 Sept 2024Activity: Peer-review and editorial work of publications › Publication Peer-review