Zhirong Huang

Orcid: 0009-0000-8999-0298

According to our database1, Zhirong Huang authored at least 25 papers between 2020 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
Disentangled Instrumental Variables for Causal Inference with Networked Observational Data.
CoRR, February, 2026

Learning instrumental variable representation for debiasing in recommender systems.
Neural Networks, 2026

A multi-view graph neural network with subgraph variational autoencoder for class-Imbalanced node classification.
Knowl. Based Syst., 2026

DSCA-former: Dual-stem cross-attentive transformer for image denoising.
Neurocomputing, 2026

2025
Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection.
ACM Trans. Knowl. Discov. Data, September, 2025

MOS: Towards Effective Smart Contract Vulnerability Detection through Mixture-of-Experts Tuning of Large Language Models.
CoRR, April, 2025

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving.
CoRR, April, 2025

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection.
Proc. ACM Softw. Eng., 2025

Multi-Cause Deconfounding for Recommender Systems with Latent Confounders.
Knowl. Based Syst., 2025

Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Breaking Task Isolation: Enhancing Code Review Automation with Mixture-of-Experts Large Language Models.
Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, 2025

Time Scale Gradient Aggregation Strategy for Systems Biology Parameter Identification.
Proceedings of the International Joint Conference on Neural Networks, 2025

Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2025

CodeV: Issue Resolving with Visual Data.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation.
CoRR, 2024

Multi-Cause Deconfounding for Recommender Systems with Latent Confounders.
CoRR, 2024

SWE-bench-java: A GitHub Issue Resolving Benchmark for Java.
CoRR, 2024

Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems.
CoRR, 2024

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems.
CoRR, 2024

Spatio-Temporal Dynamically Fused Graph Convolutional Network.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Detecting Flash Loan Based Attacks in Ethereum.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Multi-branch Residual Fusion Network for Imbalanced Visual Regression.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022
Multi-View Gated Graph Convolutional Network for Aspect-Level Sentiment Classification.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2020
Accurate and confident prediction of electron beam longitudinal properties using spectral virtual diagnostics.
CoRR, 2020


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