Guang Yang

Orcid: 0000-0002-3374-6680

Affiliations:

Nantong University, School of Information Science and Technology, China

According to our database¹, Guang Yang authored at least 40 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2026

Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., February, 2026

Less Is More: DocString Compression in Code Generation.

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[DOI]

ACM Trans. Softw. Eng. Methodol., February, 2026

Semantic Consensus Decoding: Backdoor Defense for Verilog Code Generation.

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[DOI]

CoRR, February, 2026

Less is more: Towards green code large language models via unified structural pruning.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2026

Divide and conquer: Optimizing code Chain-of-Thought in Small Language Model.

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[DOI]

Yiheng Shen

Guang Yang

Yifan Sun

Eng. Appl. Artif. Intell., 2026

VeriTiny: Efficient Verilog Generation via Dual Learning and Dynamic Fine-Tuning.

[BibT_eX]

[DOI]

IEEE Access, 2026

2025

Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead.

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[DOI]

CoRR, December, 2025

The Cream Rises to the Top: Efficient Reranking Method for Verilog Code Generation.

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[DOI]

CoRR, September, 2025

Anchor Attention, Small Cache: Code Generation With Large Language Models.

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[DOI]

IEEE Trans. Software Eng., June, 2025

An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks.

[BibT_eX]

[DOI]

CoRR, May, 2025

CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation.

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[DOI]

CoRR, May, 2025

Assessing and improving syntactic adversarial robustness of pre-trained models for code translation.

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[DOI]

Inf. Softw. Technol., 2025

Resource-efficient automatic software vulnerability assessment via knowledge distillation and particle swarm optimization.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

SE-Jury: An LLM-as-Ensemble-Judge Metric for Narrowing the Gap with Human Evaluation in SE.

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[DOI]

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Code-DiTing: Automatic Evaluation of Code Generation without References or Test Cases.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Beyond Sequences: Two-dimensional Representation and Dependency Encoding for Code Generation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Chain-of-Thought in Neural Code Generation: From and for Lightweight Language Models.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., September, 2024

Bash comment generation via data augmentation and semantic-aware CodeBERT.

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[DOI]

Autom. Softw. Eng., June, 2024

Automatic bi-modal question title generation for Stack Overflow with prompt learning.

[BibT_eX]

[DOI]

Empir. Softw. Eng., May, 2024

How Important Are Good Method Names in Neural Code Generation? A Model Robustness Perspective.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., March, 2024

Context-aware code generation with synchronous bidirectional decoder.

[BibT_eX]

[DOI]

J. Syst. Softw., 2024

Automatic smart contract comment generation via large language models and in-context learning.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2024

DeCE: Deceptive Cross-Entropy Loss Designed for Defending Backdoor Attacks.

[BibT_eX]

[DOI]

CoRR, 2024

CodeScore-R: An Automated Robustness Metric for Assessing the FunctionalCorrectness of Code Synthesis.

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[DOI]

CoRR, 2024

2023

A syntax-guided multi-task learning approach for Turducken-style code generation.

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[DOI]

Empir. Softw. Eng., November, 2023

ExploitGen: Template-augmented exploit code generation based on CodeBERT.

[BibT_eX]

[DOI]

J. Syst. Softw., 2023

An Empirical Study of Adversarial Training in Code Comment Generation.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Syntax-Aware Retrieval Augmented Code Generation.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

EDP-BGCNN: Effective Defect Prediction via BERT-based Graph Convolutional Neural Network.

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[DOI]

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

CCGIR: Information retrieval-based code comment generation method for smart contracts.

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[DOI]

Knowl. Based Syst., 2022

DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning.

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[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2022

SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow.

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[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2022

EL-CodeBert: Better Exploiting CodeBert to Support Source Code-Related Classification Tasks.

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[DOI]

Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

2021

DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa.

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[DOI]

CoRR, 2021

DeepPseudo: Deep Pseudo-code Generation via Transformer and Code Feature Extraction.

[BibT_eX]

[DOI]

CoRR, 2021

DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa (S).

[BibT_eX]

[DOI]

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation.

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[DOI]

Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

EKD-BSP: Bug Report Severity Prediction by Extracting Keywords from Description.

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[DOI]

Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

Fine-grained Pseudo-code Generation Method via Code Feature Extraction and Transformer.

[BibT_eX]

[DOI]

Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

Guang Yang

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