Chengxi Yang

Orcid: 0009-0003-1590-001X

According to our database1, Chengxi Yang authored at least 15 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Coupling Structural Descriptors With a Novel Semantic Graph Matching Approach for LiDAR Loop Detection.
IEEE Trans Autom. Sci. Eng., 2026

2025
Automating High Energy Physics Data Analysis with LLM-Powered Agents.
CoRR, December, 2025

NEAT: QCP: A Practical Separation Logic-based C Program Verification Tool.
CoRR, May, 2025

Artificial immunity-based energy theft detection for advanced metering infrastructures.
Int. J. Crit. Infrastructure Prot., 2025

A Formal Framework for Naturally Specifying and Verifying Sequential Algorithms.
Proceedings of the Theoretical Aspects of Software Engineering, 2025

2023
An exponential negation of complex basic belief assignment in complex evidence theory.
Inf. Sci., April, 2023

2020
StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Geometry Guided Neural Relighting with Flash Photography.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Confidence Inference for Focused Learning in Stereo Matching.
CoRR, 2018

Unsupervised Stereo Matching with Occlusion-Aware Loss.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Matching Low-Quality Photo to DSLR-Quality with Deep Convolutional Networks.
Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2018, 2018

2017
Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017


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