Xiangyu Zheng

Orcid: 0000-0002-2536-4746

According to our database1, Xiangyu Zheng authored at least 18 papers between 2019 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Quantitative risk assessment for connected automated Vehicles: Integrating improved STPA-SafeSec and Bayesian network.
Reliab. Eng. Syst. Saf., 2025

2024
Complying with ISO 26262 and ISO/SAE 21434: A Safety and Security Co-Analysis Method for Intelligent Connected Vehicle.
Sensors, March, 2024

OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework.
CoRR, 2024

Integrating security in hazard analysis using STPA-Sec and GSPN: A case study of automatic emergency braking system.
Comput. Secur., 2024

ADR: An Adversarial Approach to Learn Decomposed Representations for Causal Inference.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023
An empirical study of incorporating syntactic constraints into BERT-based location metonymy resolution.
Nat. Lang. Eng., May, 2023

Virtual scene generation promotes shadow puppet art conservation.
Comput. Animat. Virtual Worlds, 2023

UTBoost: A Tree-boosting based System for Uplift Modeling.
CoRR, 2023

Which Invariance Should We Transfer? A Causal Minimax Learning Approach.
Proceedings of the International Conference on Machine Learning, 2023

A New Causal Decomposition Paradigm towards Health Equity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Research on Intelligent Routing Technology Based on Improved DQN.
Proceedings of the 11th International Conference on Networks, Communication and Computing, 2022

2021
Component identification and defect detection in transmission lines based on deep learning.
J. Intell. Fuzzy Syst., 2021

Causally Invariant Predictor with Shift-Robustness.
CoRR, 2021

A Service Deployment Method Considering Application Reliability of Networks.
IEEE Access, 2021

Recovering Latent Causal Factor for Generalization to Distributional Shifts.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Latent Causal Invariant Model.
CoRR, 2020

Adaptive sliding mode control for high-order system with mismatched disturbances.
Sci. China Inf. Sci., 2020

2019
Partitioning Structure Learning for Segmented Linear Regression Trees.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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