Shangqing Liu

According to our database, Shangqing Liu authored at least 42 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications.

Lezhi Ma, Shangqing Liu, Lei Bu, Shangru Li, Yida Wang, Yang Liu

CoRR, 2024

Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications.

Wei Ma, Daoyuan Wu, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, Yang Liu

CoRR, 2024

ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs.

Jiaolong Kong, Mingfei Cheng, Xiaofei Xie, Shangqing Liu, Xiaoning Du, Qi Guo

CoRR, 2024

SpecGen: Automated Generation of Formal Program Specifications via Large Language Models.

Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, Lei Bu

CoRR, 2024

Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation.

Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu

Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, 2024

FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion.

Qi Guo, Xiaohong Li, Xiaofei Xie, Shangqing Liu, Ze Tang, Ruitao Feng, Junjie Wang, Jidong Ge, Lei Bu

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study.

Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, Xin Peng

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

BadEdit: Backdooring Large Language Models by Model Editing.

Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search.

Shangqing Liu, Xiaofei Xie, Jing Kai Siow, Lei Ma, Guozhu Meng, Yang Liu

IEEE Trans. Software Eng., April, 2023

The Scope of ChatGPT in Software Engineering: A Thorough Investigation.

Wei Ma, Shangqing Liu, Wenhan Wang, Qiang Hu, Ye Liu, Cen Zhang, Liming Nie, Yang Liu

CoRR, 2023

Evaluating AIGC Detectors on Code Content.

Jian Wang, Shangqing Liu, Xiaofei Xie, Yi Li

CoRR, 2023

Learning Program Representations with a Tree-Structured Transformer.

Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu

Proceedings of the IEEE International Conference on Software Analysis, 2023

Learning Program Semantics for Vulnerability Detection via Vulnerability-Specific Inter-procedural Slicing.

Bozhi Wu, Shangqing Liu, Yang Xiao, Zhiming Li, Jun Sun, Shang-Wei Lin

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Learning to Locate and Describe Vulnerabilities.

Jian Zhang, Shangqing Liu, Xu Wang, Tianlin Li, Yang Liu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases.

Ze Tang, Jidong Ge, Shangqing Liu, Tingwei Zhu, Tongtong Xu, Liguo Huang, Bin Luo

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning.

Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

A Black-Box Attack on Code Models via Representation Nearest Neighbor Search.

Jie Zhang, Wei Ma, Qiang Hu, Shangqing Liu, Xiaofei Xie, Yves Le Traon, Yang Liu

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

Multi-target Backdoor Attacks for Code Pre-trained Models.

Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Learning program semantics via exploring program structures with deep learning

Shangqing Liu

PhD thesis, 2022

ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking.

Shangqing Liu, Cuiyun Gao, Sen Chen, Lun Yiu Nie, Yang Liu

IEEE Trans. Software Eng., 2022

SPI: Automated Identification of Security Patches via Commits.

Yaqin Zhou, Jing Kai Siow, Chenyu Wang, Shangqing Liu, Yang Liu

ACM Trans. Softw. Eng. Methodol., 2022

AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?

Jun Ma, Yao Zhang, Song Gu, Cheng Zhu, Cheng Ge, Yichi Zhang, Xingle An, Congcong Wang, Qiyuan Wang, Xin Liu, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Jian He, Xiaoping Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Is Self-Attention Powerful to Learn Code Syntax and Semantics?

Wei Ma, Mengjie Zhao, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jie Zhang, Wenhan Wang, Yang Liu

CoRR, 2022

A Tree-structured Transformer for Program Representation Learning.

Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu

CoRR, 2022

CommitBART: A Large Pre-trained Model for GitHub Commits.

Shangqing Liu, Yanzhou Li, Yang Liu

CoRR, 2022

Enhancing Security Patch Identification by Capturing Structures in Commits.

Bozhi Wu, Shangqing Liu, Ruitao Feng, Xiaofei Xie, Jing Kai Siow, Shang-Wei Lin

CoRR, 2022

Learning Program Semantics with Code Representations: An Empirical Study.

Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu

Proceedings of the IEEE International Conference on Software Analysis, 2022

TransRepair: Context-aware Program Repair for Compilation Errors.

Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

ENiD: An Encrypted Web Pages Traffic Identification Based on Web Visiting Behavior.

Mengmeng Ge, Xiangzhan Yu, Vinay Mysore Sachidananda, Shangqing Liu, Likun Liu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Device-Free Secure Interaction With Hand Gestures in WiFi-Enabled IoT Environment.

Yanchao Zhao, Ran Gao, Shangqing Liu, Lei Xie, Jie Wu, Huawei Tu, Bing Chen

IEEE Internet Things J., 2021

GraphSearchNet: Enhancing GNNs via Capturing Global Dependency for Semantic Code Search.

Shangqing Liu, Xiaofei Xie, Lei Ma, Jing Kai Siow, Yang Liu

CoRR, 2021

Retrieval-Augmented Generation for Code Summarization via Hybrid GNN.

Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Do different cross-project defect prediction methods identify the same defective modules?

Xiang Chen, Yanzhou Mu, Yubin Qu, Chao Ni, Meng Liu, Tong He, Shangqing Liu

J. Softw. Evol. Process., 2020

Automatic Code Summarization via Multi-dimensional Semantic Fusing in GNN.

Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu

CoRR, 2020

Automatic Pancreas Segmentation via Coarse Location and Ensemble Learning.

Shangqing Liu, Xinrui Yuan, Runyue Hu, Shujun Liang, Shaohua Feng, Yuhua Ai, Yu Zhang

IEEE Access, 2020

A Unified Framework to Learn Program Semantics with Graph Neural Networks.

Shangqing Liu

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019

DeepCount: Crowd Counting with Wi-Fi using Deep Learning.

Yanchao Zhao, Shangqing Liu, Fanggang Xue, Bing Chen, Xiang Chen

J. Commun. Inf. Networks, 2019

DeepCount: Crowd Counting with WiFi via Deep Learning.

Shangqing Liu, Yanchao Zhao, Fanggang Xue, Bing Chen, Xiang Chen

CoRR, 2019

Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks.

Yaqin Zhou, Shangqing Liu, Jing Kai Siow, Xiaoning Du, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Hospital Bed Planning in a Single Department Based on Monte Carlo Simulation and Queuing Theory.

Ke Wu, Xiaomin Zhu, Runtong Zhang, Shangqing Liu

Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

2017

WiCount: A Deep Learning Approach for Crowd Counting Using WiFi Signals.

Shangqing Liu, Yanchao Zhao, Bing Chen

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

WiSmart : Robust Human Access and Identification for Smart Homes Using WiFi Signals.

Shangqing Liu, Yanchao Zhao, Bing Chen

Proceedings of the Cloud Computing and Security - Third International Conference, 2017