Shangqing Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 52

Top Topics

Nearest Neighbor

Monte Carlo Simulation

Organ Segmentation

Top Venues

Publications

Qi Guo, Xiaohong Li, Xiaofei Xie, Shangqing Liu, Ze Tang, Ruitao Feng, Junjie Wang, Jidong Ge, Lei Bu
FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion. CoRR (2024)
Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, Xin Peng
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study. ICSE (2024)
Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, Lei Bu
SpecGen: Automated Generation of Formal Program Specifications via Large Language Models. CoRR (2024)
Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu
BadEdit: Backdooring Large Language Models by Model Editing. ICLR (2024)
Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu
BadEdit: Backdooring large language models by model editing. CoRR (2024)
Jiaolong Kong, Mingfei Cheng, Xiaofei Xie, Shangqing Liu, Xiaoning Du, Qi Guo
ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs. CoRR (2024)
Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation. LCTES (2024)
Wei Ma, Daoyuan Wu, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, Yang Liu
Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications. CoRR (2024)
Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation. CoRR (2024)
Jian Wang, Shangqing Liu, Xiaofei Xie, Yi Li
Evaluating AIGC Detectors on Code Content. CoRR (2023)
Ze Tang, Jidong Ge, Shangqing Liu, Tingwei Zhu, Tongtong Xu, Liguo Huang, Bin Luo
Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases. CoRR (2023)
Shangqing Liu, Xiaofei Xie, Jing Kai Siow, Lei Ma, Guozhu Meng, Yang Liu
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search. IEEE Trans. Software Eng. 49 (4) (2023)
Wei Ma, Shangqing Liu, Wenhan Wang, Qiang Hu, Ye Liu, Cen Zhang, Liming Nie, Yang Liu
The Scope of ChatGPT in Software Engineering: A Thorough Investigation. CoRR (2023)
Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, Xin Peng
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study. CoRR (2023)
Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu
Multi-target Backdoor Attacks for Code Pre-trained Models. ACL (1) (2023)
Jie Zhang, Wei Ma, Qiang Hu, Shangqing Liu, Xiaofei Xie, Yves Le Traon, Yang Liu
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search. EMNLP (Findings) (2023)
Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu
Learning Program Representations with a Tree-Structured Transformer. SANER (2023)
Ze Tang, Jidong Ge, Shangqing Liu, Tingwei Zhu, Tongtong Xu, Liguo Huang, Bin Luo
Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases. ASE (2023)
Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. CoRR (2023)
Jian Zhang, Shangqing Liu, Xu Wang, Tianlin Li, Yang Liu
Learning to Locate and Describe Vulnerabilities. ASE (2023)
Bozhi Wu, Shangqing Liu, Yang Xiao, Zhiming Li, Jun Sun, Shang-Wei Lin
Learning Program Semantics for Vulnerability Detection via Vulnerability-Specific Inter-procedural Slicing. ESEC/SIGSOFT FSE (2023)
Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. ICSE (2023)
Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu
Multi-target Backdoor Attacks for Code Pre-trained Models. CoRR (2023)
Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu
TransRepair: Context-aware Program Repair for Compilation Errors. ASE (2022)
Mengmeng Ge, Xiangzhan Yu, Vinay Mysore Sachidananda, Shangqing Liu, Likun Liu
ENiD: An Encrypted Web Pages Traffic Identification Based on Web Visiting Behavior. ICDM (Workshops) (2022)
Bozhi Wu, Shangqing Liu, Ruitao Feng, Xiaofei Xie, Jing Kai Siow, Shang-Wei Lin
Enhancing Security Patch Identification by Capturing Structures in Commits. CoRR (2022)
Shangqing Liu, Yanzhou Li, Yang Liu
CommitBART: A Large Pre-trained Model for GitHub Commits. CoRR (2022)
Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu
Learning Program Semantics with Code Representations: An Empirical Study. CoRR (2022)
Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu
Learning Program Semantics with Code Representations: An Empirical Study. SANER (2022)
Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu
TransRepair: Context-aware Program Repair for Compilation Errors. CoRR (2022)
Wei Ma, Mengjie Zhao, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jie Zhang, Wenhan Wang, Yang Liu
Is Self-Attention Powerful to Learn Code Syntax and Semantics? CoRR (2022)
Yaqin Zhou, Jing Kai Siow, Chenyu Wang, Shangqing Liu, Yang Liu
SPI: Automated Identification of Security Patches via Commits. ACM Trans. Softw. Eng. Methodol. 31 (1) (2022)
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
AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu
A Tree-structured Transformer for Program Representation Learning. CoRR (2022)
Shangqing Liu, Cuiyun Gao, Sen Chen, Lun Yiu Nie, Yang Liu
ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking. IEEE Trans. Software Eng. 48 (5) (2022)
Yaqin Zhou, Jing Kai Siow, Chenyu Wang, Shangqing Liu, Yang Liu
SPI: Automated Identification of Security Patches via Commits. CoRR (2021)
Shangqing Liu, Xiaofei Xie, Lei Ma, Jing Kai Siow, Yang Liu
GraphSearchNet: Enhancing GNNs via Capturing Global Dependency for Semantic Code Search. CoRR (2021)
Yanchao Zhao, Ran Gao, Shangqing Liu, Lei Xie, Jie Wu, Huawei Tu, Bing Chen
Device-Free Secure Interaction With Hand Gestures in WiFi-Enabled IoT Environment. IEEE Internet Things J. 8 (7) (2021)
Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN. ICLR (2021)
Xiang Chen, Yanzhou Mu, Yubin Qu, Chao Ni, Meng Liu, Tong He, Shangqing Liu
Do different cross-project defect prediction methods identify the same defective modules? J. Softw. Evol. Process. 32 (5) (2020)
Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu
Automatic Code Summarization via Multi-dimensional Semantic Fusing in GNN. CoRR (2020)
Shangqing Liu, Xinrui Yuan, Runyue Hu, Shujun Liang, Shaohua Feng, Yuhua Ai, Yu Zhang
Automatic Pancreas Segmentation via Coarse Location and Ensemble Learning. IEEE Access 8 (2020)
Jun Ma, Yao Zhang, Song Gu, Yichi Zhang, Cheng Zhu, Qiyuan Wang, Xin Liu, Xingle An, Cheng Ge, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Congcong Wang, Jian He, Xiaoping Yang
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem? CoRR (2020)
Shangqing Liu
A Unified Framework to Learn Program Semantics with Graph Neural Networks. ASE (2020)
Shangqing Liu, Cuiyun Gao, Sen Chen, Lun Yiu Nie, Yang Liu
ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking. CoRR (2019)
Yaqin Zhou, Shangqing Liu, Jing Kai Siow, Xiaoning Du, Yang Liu
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks. NeurIPS (2019)
Ke Wu, Xiaomin Zhu, Runtong Zhang, Shangqing Liu
Hospital Bed Planning in a Single Department Based on Monte Carlo Simulation and Queuing Theory. IEEM (2019)
Yanchao Zhao, Shangqing Liu, Fanggang Xue, Bing Chen, Xiang Chen
DeepCount: Crowd Counting with Wi-Fi using Deep Learning. J. Commun. Inf. Networks 4 (3) (2019)
Yaqin Zhou, Shangqing Liu, Jing Kai Siow, Xiaoning Du, Yang Liu
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks. CoRR (2019)
Shangqing Liu, Yanchao Zhao, Fanggang Xue, Bing Chen, Xiang Chen
DeepCount: Crowd Counting with WiFi via Deep Learning. CoRR (2019)
Shangqing Liu, Yanchao Zhao, Bing Chen
WiCount: A Deep Learning Approach for Crowd Counting Using WiFi Signals. ISPA/IUCC (2017)
Shangqing Liu, Yanchao Zhao, Bing Chen
WiSmart : Robust Human Access and Identification for Smart Homes Using WiFi Signals. ICCCS (2) (2017)