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.
My google scholar: https://scholar.google.com/citations?user=bBW5HaAAAAAJ&hl=en
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
MTH113, Introduction to Probability and Statistics, XJTLU, Fall 2025
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
Research areas
- Signal Processing
- Machine Learning
- Deep Learning
Person Types
- Staff
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Collaborations and top research areas from the last five years
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Projects
- 1 Active
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Physics-Informed Deep Learning Approaches for Parameter Estimation and Super-Resolution
Yang, D. (PI)
1/07/24 → 30/06/27
Project: Internal Research Project
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A Convex Demixing Approach for Hybrid-Field Channel Estimation of XL-MIMO Systems via Atomic Norm Minimization
Yang, D., Xi, F. & Zhu, Y., 18 Sept 2025, (Submitted) 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (https://arxiv.org/pdf/2509.18752).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding
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A Two-Dimensional Super-Resolution Method for Reconfigurable Intelligent Surface-Assisted Near-Field Localization
Xi, F. & Yang, D., 18 Sept 2025, (Submitted) 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (http://arxiv.org/abs/2509.18774).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding
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Complex Navigation Maneuver Reduction
Chen, J. (Inventor), Stanojevic, R. (Inventor), Akcevin, C. (Inventor), Khosla, V. (Inventor), Muh, P.T.-P. (Inventor), Lu, D. (Inventor), Yang, D. (Inventor) & Moosvi, N. (Inventor), 30 Jan 2025, IPC No. G01C21/34, 18359835, U.S. Patent, Patent No. 20250035453Research output: Patent
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Gridless Chirp Parameter Retrieval via Constrained Two-Dimensional Atomic Norm Minimization
Yang, D. & Xi, F., 24 Jun 2025, (Submitted) In: https://arxiv.org/pdf/2503.15164.Research output: Contribution to journal › Article › peer-review
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Near-Field Channel Estimation and Joint Angle-Range Recovery in XL-MIMO Systems: A Gridless Super-Resolution Approach
Xi, F. & Yang, D., 28 Nov 2025, (Submitted) In: IEEE Transactions on Signal Processing (ArXiv version: https://arxiv.org/pdf/2511.23187).Research output: Contribution to journal › Article › peer-review
Activities
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A Gridless Super-Resolution Approach for Hybrid-Field Channel Estimation of XL-MIMO Systems
Yang, D. (Speaker)
26 Oct 2025Activity: Talk or presentation › Invited talk
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2025 the 17th International Conference on Signal Processing Systems (ICSPS), Special Session: Super-Resolution Theory, Methods, and Applications
Xi, F. (Organiser), Yang, D. (Organiser) & Wu, X. (Organiser)
24 Oct 2025 → 26 Oct 2025Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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Robust Non-Stationary Blind Super-Resolution with Corrupted Measurements via Convex Demixing
Yang, D. (Speaker)
27 Jun 2025Activity: Talk or presentation › Presentation at conference/workshop/seminar
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SURF-2024-0333: Deep Learning-Based AI Models for Breast Cancer Diagnosis Using Medical Imaging Data: A Case Study
Yang, D. (Supervisor)
15 Jun 2024 → 28 Aug 2024Activity: Supervision › Completed SURF Project
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SURF-2024-0248: Statistical Learning Approaches for Auto Insurance Pricing
Yang, D. (Supervisor)
15 Jun 2024 → 28 Aug 2024Activity: Supervision › Completed SURF Project