Li Yang

Orcid: 0000-0001-8364-6525

Affiliations:
  • Chinese Academy of Sciences, Insititute of Software, Beijing, China


According to our database1, Li Yang authored at least 30 papers between 2005 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
SQL-Commenter: Aligning Large Language Models for SQL Comment Generation with Direct Preference Optimization.
CoRR, March, 2026

Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

SmartCoder-R1: Towards Secure and Explainable Smart Contract Generation with Security-Aware Group Relative Policy Optimization.
CoRR, September, 2025

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

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

EXE-Reviewer: Towards EXplainable and Effective Review Comments Generation.
Proceedings of the 37th International Conference on Software Engineering and Knowledge Engineering, 2025

Leveraging Mixture-of-Experts Framework for Smart Contract Vulnerability Repair with Large Language Model.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 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

AUVANA: An Efficient and Automatic Approach to Variable Rename Refactoring via Large Pre-trained Language Model.
Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, 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

Towards Practical Defect-Focused Automated Code Review.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

DeepCRCEval: Revisiting the Evaluation of Code Review Comment Generation.
Proceedings of the Fundamental Approaches to Software Engineering, 2025

2024
Exploring the impact of code review factors on the code review comment generation.
Autom. Softw. Eng., November, 2024

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

Dependency-Aware Method Naming Framework with Generative Adversarial Sampling.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning (Practical Experience Report).
CoRR, 2023

Mining the Relationship between Object-Relational Mapping Performance Anti-patterns and Code Clones.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Automating Method Naming with Context-Aware Prompt-Tuning.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

PSCVFinder: A Prompt-Tuning Based Framework for Smart Contract Vulnerability Detection.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Who Are the Money Launderers? Money Laundering Detection on Blockchain via Mutual Learning-Based Graph Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2023

DccGraph: Detecting Criminal Communities with Augmented Criminal Network Construction and Graph Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
AUGER: automatically generating review comments with pre-training models.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

STPChain: a Crowdsourced Software Engineering Method for Software Traceability and Fine-grained Privacy Based on Blockchain.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
DeepRelease: Language-agnostic Release Notes Generation from Pull Requests of Open-source Software.
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

2019
Model-Driven Dynamic Visualization of Spatiotemporal Data in GIS.
Proceedings of the Image and Graphics Technologies and Applications, 2019

A Human-in-the-Loop Method for Developing Machine Learning Applications.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

Multi-attending Memory Network for Modeling Multi-turn Dialogue.
Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference (HPCCT 2019) and of the 2nd International Conference on Big Data and Artificial Intelligence (BDAI 2019), Guangzhou, China, June 22, 2019

2005
An Effective Two-Stage Neural Network Model and Its Application on Flood Loss Prediction.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005


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