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ORCIDShangqing Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c20]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- [c19]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: 34:1-34:13 - [c18]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. ISSTA 2024: 313-324 - [c17]Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu:
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation. LCTES 2024: 166-177 - [i26]Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, Lei Bu:
SpecGen: Automated Generation of Formal Program Specifications via Large Language Models. CoRR abs/2401.08807 (2024) - [i25]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 abs/2403.01971 (2024) - [i24]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 abs/2403.13355 (2024) - [i23]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 abs/2403.16073 (2024) - [i22]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 abs/2404.01554 (2024) - [i21]Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu:
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation. CoRR abs/2404.09599 (2024) - [i20]Lezhi Ma, Shangqing Liu, Lei Bu, Shangru Li, Yida Wang, Yang Liu:
SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications. CoRR abs/2409.12866 (2024) - 2023
- [j8]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): 2839-2855 (2023) - [c16]Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu:
Multi-target Backdoor Attacks for Code Pre-trained Models. ACL (1) 2023: 7236-7254 - [c15]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: 9706-9716 - [c14]Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu:
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. ICSE 2023: 2476-2487 - [c13]Jian Zhang, Shangqing Liu, Xu Wang, Tianlin Li, Yang Liu:
Learning to Locate and Describe Vulnerabilities. ASE 2023: 332-344 - [c12]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: 421-433 - [c11]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: 1371-1383 - [c10]Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu:
Learning Program Representations with a Tree-Structured Transformer. SANER 2023: 248-259 - [i19]Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu:
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. CoRR abs/2301.09072 (2023) - [i18]Jian Wang, Shangqing Liu, Xiaofei Xie, Yi Li:
Evaluating AIGC Detectors on Code Content. CoRR abs/2304.05193 (2023) - [i17]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 abs/2305.12138 (2023) - [i16]Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu:
Multi-target Backdoor Attacks for Code Pre-trained Models. CoRR abs/2306.08350 (2023) - [i15]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 abs/2308.09313 (2023) - [i14]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 abs/2309.08221 (2023) - 2022
- [b1]Shangqing Liu:
Learning program semantics via exploring program structures with deep learning. Nanyang Technological University, Singapore, 2022 - [j7]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): 6695-6714 (2022) - [j6]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): 13:1-13:27 (2022) - [j5]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): 1800-1817 (2022) - [c9]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: 593-601 - [c8]Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu:
TransRepair: Context-aware Program Repair for Compilation Errors. ASE 2022: 108:1-108:13 - [c7]Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu:
Learning Program Semantics with Code Representations: An Empirical Study. SANER 2022: 554-565 - [i13]Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu:
Learning Program Semantics with Code Representations: An Empirical Study. CoRR abs/2203.11790 (2022) - [i12]Bozhi Wu, Shangqing Liu, Ruitao Feng, Xiaofei Xie, Jing Kai Siow, Shang-Wei Lin:
Enhancing Security Patch Identification by Capturing Structures in Commits. CoRR abs/2207.09022 (2022) - [i11]Shangqing Liu, Yanzhou Li, Yang Liu:
CommitBART: A Large Pre-trained Model for GitHub Commits. CoRR abs/2208.08100 (2022) - [i10]Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu:
A Tree-structured Transformer for Program Representation Learning. CoRR abs/2208.08643 (2022) - [i9]Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu:
TransRepair: Context-aware Program Repair for Compilation Errors. CoRR abs/2210.03986 (2022) - [i8]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 abs/2212.10017 (2022) - 2021
- [j4]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): 5619-5631 (2021) - [c6]Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu:
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN. ICLR 2021 - [i7]Yaqin Zhou, Jing Kai Siow, Chenyu Wang, Shangqing Liu, Yang Liu:
SPI: Automated Identification of Security Patches via Commits. CoRR abs/2105.14565 (2021) - [i6]Shangqing Liu, Xiaofei Xie, Lei Ma, Jing Kai Siow, Yang Liu:
GraphSearchNet: Enhancing GNNs via Capturing Global Dependency for Semantic Code Search. CoRR abs/2111.02671 (2021) - 2020
- [j3]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: 2906-2914 (2020) - [j2]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) - [c5]Shangqing Liu:
A Unified Framework to Learn Program Semantics with Graph Neural Networks. ASE 2020: 1364-1366 - [i5]Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu:
Automatic Code Summarization via Multi-dimensional Semantic Fusing in GNN. CoRR abs/2006.05405 (2020) - [i4]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 abs/2010.14808 (2020)
2010 – 2019
- 2019
- [j1]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): 38-52 (2019) - [c4]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: 644-648 - [c3]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: 10197-10207 - [i3]Shangqing Liu, Yanchao Zhao, Fanggang Xue, Bing Chen, Xiang Chen:
DeepCount: Crowd Counting with WiFi via Deep Learning. CoRR abs/1903.05316 (2019) - [i2]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 abs/1909.03496 (2019) - [i1]Shangqing Liu, Cuiyun Gao, Sen Chen, Lun Yiu Nie, Yang Liu:
ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking. CoRR abs/1912.02972 (2019) - 2017
- [c2]Shangqing Liu, Yanchao Zhao, Bing Chen:
WiSmart : Robust Human Access and Identification for Smart Homes Using WiFi Signals. ICCCS (2) 2017: 855-861 - [c1]Shangqing Liu, Yanchao Zhao, Bing Chen:
WiCount: A Deep Learning Approach for Crowd Counting Using WiFi Signals. ISPA/IUCC 2017: 967-974
Coauthor Index
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